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Giraldo A, Shah P, Zerbo E, Nyaku AN. The role of recovery peer navigators in retention in outpatient buprenorphine treatment: a retrospective cohort study. Ann Med 2024; 56:2355566. [PMID: 38823420 PMCID: PMC11146239 DOI: 10.1080/07853890.2024.2355566] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/03/2023] [Accepted: 03/24/2024] [Indexed: 06/03/2024] Open
Abstract
BACKGROUND Racial and ethnic disparities are evident in the accessibility of treatment for opioid use disorder (OUD). Even when medications for OUD (MOUD) are accessible, racially and ethnically minoritized groups have higher attrition rates from treatment. Existing literature has primarily identified the specific racial and ethnic groups affected by these disparities, but has not thoroughly examined interventions to address this gap. Recovery peer navigators (RPNs) have been shown to improve access and overall retention on MOUD. PATIENTS AND METHODS In this retrospective cohort study, we evaluate the role of RPNs on patient retention in clinical care at an outpatient program in a racially and ethnically diverse urban community. Charts were reviewed of new patients seen from January 1, 2019 through December 31, 2019. Sociodemographic and clinical visit data, including which providers and services were utilized, were collected, and the primary outcome of interest was continuous retention in care. Bivariate analysis was done to test for statistically significant associations between variables by racial/ethnic group and continuous retention in care using Student's t-test or Pearson's chi-square test. Variables with p value ≤0.10 were included in a multivariable regression model. RESULTS A total of 131 new patients were included in the study. RPNs improved continuous retention in all-group analysis (27.6% pre-RPN compared to 80.2% post-RPN). Improvements in continuous retention were observed in all racial/ethnic subgroups but were statistically significant in the non-Hispanic Black (NHB) group (p < 0.001). Among NHB, increases in continuous retention were observed post-RPN in patients with male sex (p < 0.001), public health insurance (p < 0.001), additional substance use (p < 0.001), medical comorbidities (p < 0.001), psychiatric comorbidities (p = 0.001), and unstable housing (p = 0.005). Multivariate logistic regression demonstrated that patients who lacked insurance had lower odds of continuous retention compared to patients with public insurance (aOR = 0.17, 95% CI 0.039-0.70, p = 0.015). CONCLUSIONS RPNs can improve clinical retention for patients with OUD, particularly for individuals experiencing several sociodemographic and clinical factors that are typically correlated with discontinuation of care.
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Affiliation(s)
- Arley Giraldo
- Department of Psychiatry, NYU Grossman School of Medicine, NYC, NY, USA
| | - Payal Shah
- Department of Medicine, Rutgers New Jersey Medical School, Newark, NJ, USA
| | - Erin Zerbo
- Department of Medicine, Rutgers New Jersey Medical School, Newark, NJ, USA
- Independent Private Practice, Montclair, NJ, USA
| | - Amesika N. Nyaku
- Department of Medicine, Rutgers New Jersey Medical School, Newark, NJ, USA
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Koerber SN, Huynh D, Farrington S, Springer K, Manteuffel J. Disparities in Buprenorphine Administration for Opioid use Disorder in the Emergency Department. J Addict Med 2024:01271255-990000000-00396. [PMID: 39514889 DOI: 10.1097/adm.0000000000001392] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2024]
Abstract
STUDY OBJECTIVE Although buprenorphine is an effective treatment for opioid use disorder (OUD), this treatment is often not universally provided in the emergency department (ED). We aimed to determine whether patient characteristics, particularly race and ethnicity, were associated with buprenorphine administration. METHODS This was a retrospective cross-sectional study of adult patients who had a positive screening result for opioid misuse in the ED at a single urban hospital. Univariate and multivariable logistic regressions were used to assess the association of patient characteristics (race, ethnicity, age, sex, insurance type, and Area Deprivation Index) with buprenorphine administration. RESULTS Of 1082 patients who screened positive for opioid misuse, 133 (12%) were treated with buprenorphine and 949 (88%) were not. Despite representing over half the patient sample, Black patients (n = 682) were less likely than White patients (n = 310) to be treated with buprenorphine (multivariable: OR, 0.56; 95% CI, 0.35-0.88; P = 0.023). Age, sex, insurance type, ethnicity, and Area Deprivation Index were not associated with buprenorphine administration. CONCLUSIONS Patient race was associated with buprenorphine administration, even after controlling for multiple other social determinants of health. These data suggest racial disparities in care that should be investigated through further research to optimize equitable administration of buprenorphine.
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Affiliation(s)
- Samantha N Koerber
- From the Department of Emergency Medicine, Henry Ford Hospital, Detroit, MI (SK, JM); Wayne State University School of Medicine, Detroit, MI (DH, SF); and Department of Public Health Sciences, Henry Ford Health, Detroit, MI (KS)
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Gannon K, Warnock CA. Medications for opioid use disorder and other evidence-based service offerings in faith-affiliated treatment centers: Implications for implementation partnerships. JOURNAL OF SUBSTANCE USE AND ADDICTION TREATMENT 2024:209572. [PMID: 39522767 DOI: 10.1016/j.josat.2024.209572] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/13/2024] [Revised: 07/24/2024] [Accepted: 11/04/2024] [Indexed: 11/16/2024]
Abstract
INTRODUCTION Amidst an ongoing surge of opioid use disorder (OUD) incidence, clinicians and policymakers are seeking partnerships with faith communities - including with faith-affiliated treatment centers (FATCs) - to expand access to evidence-based OUD treatment. However, little is known whether FATCs differentially offer such evidence-based treatment services, particularly medications for opioid use disorder (MOUD) and co-occurring mental health care. METHODS We use the 2021 National Substance Use and Mental Health Services Survey (N-SUMHSS) to examine differences in provision of several OUD services, including MOUD, psychological treatments, mental health services, medical services, recovery support services, and services related to treatment accessibility, between self-identified FATCs and non-FATCs. We also explored differences in characteristics related to insurance, licensure, and accreditation. RESULTS FATCs were less likely than non-FATCs to offer almost all measure of MOUD and more likely to refuse to accept clients who use MOUD. They were also less likely to report using telemedicine. However, they were more likely to offer residential treatment, Twelve Step facilitation, and transitional housing. We find little evidence that FATCs offer co-occurring mental health treatments at different rates than non-FATCs. CONCLUSION More research is needed to examine the factors that drive these differences, especially in MOUD and transitional housing. When partnering with FATCs, clinicians and policymakers should seek common ground with FATCs and recognize the philosophies, values, and concerns that may potentially be driving these differences.
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Affiliation(s)
- Kim Gannon
- Yale School of Public Health, Department of Health Policy and Management, United States of America.
| | - Charles A Warnock
- Yale School of Public Health, Department of Social and Behavioral Sciences, United States of America
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Dunleavy S, Douchee J, Liu T, Johnson NL, Komaromy M, Chatterjee A. Racism, not race: Quantitative analysis of the use of race and racism in the addiction literature. Soc Sci Med 2024; 360:117325. [PMID: 39293285 DOI: 10.1016/j.socscimed.2024.117325] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2024] [Revised: 08/06/2024] [Accepted: 09/09/2024] [Indexed: 09/20/2024]
Abstract
RATIONALE Prior research has demonstrated that medical journals rarely mention racism, potentially contributing to an incorrect understanding of and inappropriate interventions for health inequities affecting Black and Brown communities in the US. While this infrequency of mentions of racism has been documented in the general medical literature, it is unknown if this pattern extends to the addiction literature, where some have argued that structural racism has played a specific role in shaping policy and treatment. OBJECTIVE To assess how frequently the addiction literature for the last 30 years has mentioned race and racism and if these rates vary with social movements. METHODS We created an algorithm to download and process over 30,000 published articles published from 1990 to 2022 in five major addiction journals: Addiction, Addictive Behaviors, Drug and Alcohol Dependence, Journal of Substance Abuse and Treatment, and International Journal of Drug Policy. Using this data, we reported temporal patterns of mentioning both race and racism across journals and article types. Further, we utilized interrupted time series analysis to identify if the social movements against police violence and the murder of George Floyd in 2020 were associated with significant changes in rates of mentioning racism. RESULTS While over 30% of the articles in addiction medicine journals included the word race, only 1.5% of articles mentioned racism. Based on an interrupted time series model, after the racial reckoning following the murder of George Floyd in 2020, mentions of racism increased in the addiction literature (OR = 3.21, 95% CI: [2.39, 4.32], P<.001). CONCLUSIONS A large chasm remains between how often authors mention race versus racism in addiction medicine, a field with a unique history intertwined with structural racism. Addressing inequities in addiction outcomes, including burgeoning inequities in overdose deaths, will require acknowledging racism in the scientific literature.
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Affiliation(s)
- Spencer Dunleavy
- University of Pennsylvania, Department of Family Medicine and Community Health, Philadelphia, PA, USA.
| | - Jeremiah Douchee
- Columbia University, Vagelos College of Physicians and Surgeons, New York, NY, USA
| | - Tina Liu
- Critical Care Medicine Department, Clinical Center, National Institutes of Health, Bethesda, MD, USA
| | - Natrina L Johnson
- Grayken Center for Addiction, Boston, MA, USA; Section of General Internal Medicine, Boston Medical Center/Chobanian and Avedisian School of Medicine, Boston, MA, USA
| | - Miriam Komaromy
- Grayken Center for Addiction, Boston, MA, USA; Section of General Internal Medicine, Boston Medical Center/Chobanian and Avedisian School of Medicine, Boston, MA, USA
| | - Avik Chatterjee
- Grayken Center for Addiction, Boston, MA, USA; Clinical Addiction Research and Education Unit, Section of General Internal Medicine, Boston Medical Center/ Chobanian and Avedisian School of Medicine, Boston, MA, USA
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Jaffe K, Patel S, Chen L, Slat S, Bohnert A, Lagisetty P. Impact of Perceived Access and Treatment Knowledge on Medication Preferences for Opioid Use Disorder. SUBSTANCE USE & ADDICTION JOURNAL 2024; 45:706-715. [PMID: 38828548 DOI: 10.1177/29767342241254591] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/05/2024]
Abstract
BACKGROUND Medications for opioid use disorders (MOUDs) are effective, but most people with opioid use disorder (OUD) do not receive treatment. Prior research has explored patients' structural barriers to access and perceptions of MOUD. Little research has considered treatment knowledge and perceptions outside of the patient population. Members of the public without OUD themselves (eg, family, friends) can significantly influence treatment decisions of persons with OUD. Considering these gaps, we conducted an original survey with a diverse sample of US adults to explore knowledge and preferences toward OUD treatments. METHODS We conducted an online survey with 1505 White, Black, and Latino/a Americans including a small percentage (8.5%) with self-reported lifetime OUD. The survey used vignettes to describe hypothetical patients with OUD, provide basic treatment information (ie, methadone, buprenorphine, naltrexone, nonmedication treatment), and then assessed treatment preferences. Using multivariable logistic regression, we examined associations between covariates of interest (eg, perceived access, knowledge, demographics) and preference for MOUD versus nonmedication treatment. RESULTS There were 523 White, 502 Black, and 480 Latino/a respondents. Across racial/ethnic subsamples, respondents had the greatest knowledge of nonmedication treatments, with Black (72.7%) and Latino/a (70.2%) respondents having significantly greater knowledge compared to White respondents (61.8%). However, after viewing the vignette, a greater proportion of respondents chose methadone (35.8%) or buprenorphine (34.8%) as their first-choice treatment for hypothetical patients. Multivariable logistic regression suggested that among Black respondents, those with knowledge of nonmedication treatment were more likely to choose MOUD than those without knowledge (odds ratio = 2.41, 95% confidence interval = 1.34-4.34). Perceived treatment access did not affect treatment choice. CONCLUSIONS Across racial groups, knowledge and perceived access to nonmedication treatment was greater than for MOUD, but many still selected MOUD as a first-choice treatment. Significant findings emphasized the importance of treatment knowledge around decision-making, highlighting opportunities for tailored education efforts to improve uptake of evidence-based treatment.
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Affiliation(s)
- Kaitlyn Jaffe
- Department of Health Promotion and Policy, School of Public Health and Health Sciences, University of Massachusetts Amherst, Amherst, MA, USA
| | - Shivam Patel
- Department of Urology, Beaumont Hospital, Royal Oak, MI, USA
| | - Liying Chen
- Department of Biostatistics, University of Michigan, Ann Arbor, MI, USA
| | - Stephanie Slat
- Michigan Institute for Clinical and Health Research, University of Michigan, Ann Arbor, MI, USA
| | - Amy Bohnert
- Department of Anesthesiology, University of Michigan, Ann Arbor, MI, USA
- VA Center for Clinical Management Research (CCMR), VA Ann Arbor Healthcare System, Ann Arbor, MI, USA
| | - Pooja Lagisetty
- VA Center for Clinical Management Research (CCMR), VA Ann Arbor Healthcare System, Ann Arbor, MI, USA
- Department of Internal Medicine, University of Michigan, Ann Arbor, MI, USA
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Lowenstein M, Popova E, Jalloh A, Mazzella S, Botcheos D, Bertocchi J, Westfahl S, Garcia KP, Truchil R, Chertok J. The Mobile Overdose Response Program: A mobile, low-threshold opioid use disorder treatment model in Philadelphia. JOURNAL OF SUBSTANCE USE AND ADDICTION TREATMENT 2024; 164:209429. [PMID: 38857828 DOI: 10.1016/j.josat.2024.209429] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/31/2023] [Revised: 04/04/2024] [Accepted: 06/04/2024] [Indexed: 06/12/2024]
Abstract
INTRODUCTION Low-threshold substance use treatment programs may help overcome barriers for marginalized individuals. The aims of this study were to 1) describe participant characteristics and treatment outcomes for a multi-site, Philadelphia-based mobile program providing street-based buprenorphine initiation, stabilization, and referral to ongoing care and 2) examine associations between patient characteristics and successful linkage. METHODS We conducted a retrospective cohort study of patients receiving buprenorphine through Prevention Point Philadelphia's mobile overdose response program from 9/2020-12/2021. We abstracted electronic medical record data, including patient characteristics, mobile program treatment, and care linkage. We used descriptive statistics to characterize the sample and assessed the association between patient characteristics and successful care linkage using multi-variable logistic regression. RESULTS Two hundred thirty-seven patients initiated buprenorphine in the program across six sites. Mean age was 46. Participants were majority men (67 %); 59 % identified as Black, 33 % identified as White, and 15 % reported Hispanic ethnicity. Most were publicly insured (74 %) and 30 % were unstably housed. Basedline engagement in primary care (32 %), psychiatric treatment (5 %), and counseling (2 %) were low. Most participants reported heroin or fentanyl use at intake (87 %), with high rates of IV drug use (37 %)., and co-occurring substance use and prior buprenorphine treatment experience were common.. 86 % completed ≥1 mobile follow-up visit, and 69 % completed ≥4 mobile program visits. 51 % of patients attended at least one visit at an outside site, and 30 % had ≥2 visits for buprenorphine prescriptions at an outside site. 35 % of the referrals were internal, meaning they went to University-based practices staffed by the mobile unit physicians. In a multivariable logistic regression model, internal referral was associated with significantly increased odds of effective care linkage (aOR 2.47, 95 % CI 1.20-5.09). CONCLUSIONS Targeted community outreach with low-threshold substance use care facilitated treatment access among marginalized individuals. Participants showed high levels of engagement with the mobile program, but rates of outside care linkage, while comparable to retention in other low-threshold models, were lower. The only predictor of effective care linkage was referral to brick-and-mortar clinics staffed by mobile unit physicians. These findings support the importance of outreach beyond traditional health care settings to engage high-risk patients with OUD.
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Affiliation(s)
- Margaret Lowenstein
- Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA; Center for Addiction Medicine and Policy, University of Pennsylvania, Philadelphia, PA, USA; Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia, PA, USA.
| | - Ellena Popova
- University of California, San Francisco School of Medicine, San Francisco, CA, USA
| | - Aminata Jalloh
- Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
| | | | | | | | | | | | - Rachael Truchil
- Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
| | - Judy Chertok
- Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
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Shufflebarger EF, Reynolds LM, McNellage L, Booth JS, Brown J, Edwards AR, Li L, Robinett DA, Walter LA. Fentanyl-positive urine drug screens in the emergency department: Association with intentional opioid misuse and racial disparities. DRUG AND ALCOHOL DEPENDENCE REPORTS 2024; 12:100269. [PMID: 39219738 PMCID: PMC11363991 DOI: 10.1016/j.dadr.2024.100269] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/24/2024] [Revised: 07/18/2024] [Accepted: 08/01/2024] [Indexed: 09/04/2024]
Abstract
Background An increase in opioid-related overdoses, notably from potent synthetic opioids like fentanyl, prompted this consideration of characteristics of emergency department (ED) patients with evidence for illicit fentanyl use or exposure, the correlation with intentional opioid misuse, and subsequent ED management. Methods A retrospective review was performed of patients presenting to an urban academic medical center ED with evidence for illicit fentanyl use, determined by positive urine drug screens (UDS), from 6/2021 through 11/2021. Participant demographics, comorbidities, ED chief complaint and disposition, and evidence of intentional opioid misuse were considered. Secondary outcomes included provision of buprenorphine/naloxone and/or naloxone kits at discharge, ED recidivism, and six-month mortality. Bivariate comparisons and logistic regression models were performed. Results Among 409 unique patients, most were white and male with a mean age of 39.4. Approximately half presented with opioid-related complaints. Evidence of intentional opioid misuse was identified in 72.6 % of patients. Black patients had 79 % lower odds of intentional opioid misuse compared to white patients. Regarding ED management, 28.8 % were discharged with buprenorphine/naloxone and 14.0 % with a naloxone kit. Black patients had 63 % lower odds of receiving buprenorphine/naloxone compared to white patients after controlling for covariates. Nearly 6 % of the study population died within six months of the initial ED visit. Conclusion This fentanyl-focused review describes patient characteristics which largely mirror the epidemiology of the current opioid epidemic; however, despite evidence of objective exposure, it also suggests that Black patients may be less likely to use fentanyl intentionally. It also highlights potential disparities related to ED-based opioid misuse patient management.
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Affiliation(s)
- Erin F. Shufflebarger
- Department of Emergency Medicine, University of Alabama at Birmingham, Birmingham, AL, United States
| | - Lindy M. Reynolds
- Department of Epidemiology, University of Alabama at Birmingham School of Public Health, Birmingham, AL, United States
| | - Landon McNellage
- University of Alabama at Birmingham Heersink School of Medicine, Birmingham, AL, United States
| | - James S. Booth
- Department of Emergency Medicine, University of Alabama at Birmingham, Birmingham, AL, United States
| | - Julie Brown
- Department of Emergency Medicine, University of Alabama at Birmingham, Birmingham, AL, United States
| | - Andrew R. Edwards
- Department of Emergency Medicine, University of Alabama at Birmingham, Birmingham, AL, United States
| | - Li Li
- Department of Psychiatry and Behavioral Neurobiology, University of Alabama at Birmingham, Birmingham, AL, United States
| | - Derek A. Robinett
- Department of Emergency Medicine, University of Alabama at Birmingham, Birmingham, AL, United States
| | - Lauren A. Walter
- Department of Emergency Medicine, University of Alabama at Birmingham, Birmingham, AL, United States
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Jaffe K, Slat S, Chen L, Macleod C, Bohnert A, Lagisetty P. Perceptions around medications for opioid use disorder among a diverse sample of U.S. adults. JOURNAL OF SUBSTANCE USE AND ADDICTION TREATMENT 2024; 163:209361. [PMID: 38703949 DOI: 10.1016/j.josat.2024.209361] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/15/2023] [Revised: 03/04/2024] [Accepted: 03/27/2024] [Indexed: 05/06/2024]
Abstract
INTRODUCTION Medications for opioid use disorder (MOUD) including methadone (MMT), buprenorphine (BUP), and naltrexone (NTX) are safe and effective. However, there are significant negative perceptions surrounding MOUD, creating barriers to uptake. While research on MOUD stigma has largely focused on provider and patient experiences, fewer studies have explored MOUD perceptions among the general public. Given that MOUD stigma expressed by social ties surrounding individuals with OUD can influence treatment choices, we assessed MOUD perceptions among U.S. adults to determine how beliefs impacted treatment preference. We further explored how MOUD perceptions may be amplified among racialized groups with histories of experiencing drug-related discrimination. METHODS The study collected survey data from a diverse sample of U.S. adults (n = 1508) between October 2020 and January 2021. The survey measured knowledge of MOUD and non-medication treatments, relative agreement with common MOUD perceptions, and treatment preferences. Multinomial logistic regression analysis tested associations with treatment preference, stratified by race/ethnicity. RESULTS Descriptive results indicated that across groups, many respondents (66.8 %) had knowledge of MOUD, but believed MOUD was a "substitute" for opioids and had some degree of concern about misuse. Multivariable results showed knowledge of non-medication treatments was positively associated with MOUD preference among White (MMT OR = 3.16, 95 % CI = 1.35-7.39; BUP OR = 2.69, CI = 1.11-6.47), Black (MMT OR = 3.91, CI = 1.58-9.69), and Latino/a (MMT OR = 5.12, CI = 1.99-13.2; BUP OR = 3.85, CI = 1.5-9.87; NTX OR = 4.51, CI = 1.44-14.06) respondents. Among White respondents, we identified positive associations between MOUD experience and buprenorphine preference (OR = 4.33, CI = 1.17-16.06); non-medication treatment experience and preference for buprenorphine (OR = 2.86, CI = 1.03-7.94) and naltrexone (OR = 3.17, CI = 1.08-9.28). Concerns around misuse of methadone were negatively associated with methadone preference among White (OR = 0.65, CI = 0.43-0.98) and Latino/a (OR = 0.49, CI = 0.34-0.7), and concerns around misuse of buprenorphine was negatively associated with preference for MOUD among White (MMT OR = 0.62, CI = 0.39-0.99; BUP OR = 0.48, CI = 0.3-0.77; NTX OR = 0.6, CI = 0.36-0.99) and Latino/a (BUP OR = 0.59, CI = 0.39-0.89) respondents. CONCLUSIONS This analysis offers critical insights into treatment perceptions beyond the patient population, finding that negative beliefs around MOUD are common and negatively associated with preferences for medication-based treatment. These findings highlight implications for public support of evidence-based treatment and lay the groundwork for future interventions addressing public stigma toward MOUD.
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Affiliation(s)
- Kaitlyn Jaffe
- Center for Bioethics and Social Sciences in Medicine, University of Michigan, Ann Arbor, MI, USA; Department of Health Promotion and Policy, University of Massachusetts Amherst, Amherst, MA, USA
| | - Stephanie Slat
- Department of Internal Medicine, University of Michigan, Ann Arbor, MI, USA
| | - Liying Chen
- Department of Biostatistics, University of Michigan, Ann Arbor, MI, USA
| | - Colin Macleod
- Department of Internal Medicine, University of Michigan, Ann Arbor, MI, USA
| | - Amy Bohnert
- Department of Anesthesiology, University of Michigan, Ann Arbor, MI, USA; VA Center for Clinical Management Research (CCMR), VA Ann Arbor Healthcare System, Ann Arbor, MI, USA
| | - Pooja Lagisetty
- Department of Internal Medicine, University of Michigan, Ann Arbor, MI, USA; VA Center for Clinical Management Research (CCMR), VA Ann Arbor Healthcare System, Ann Arbor, MI, USA.
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Tatara E, Lin Q, Ozik J, Kolak M, Collier N, Halpern D, Anselin L, Dahari H, Boodram B, Schneider J. Spatial inequities in access to medications for treatment of opioid use disorder highlight scarcity of methadone providers under counterfactual scenarios. PLoS Comput Biol 2024; 20:e1012307. [PMID: 39058746 PMCID: PMC11305545 DOI: 10.1371/journal.pcbi.1012307] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2023] [Revised: 08/07/2024] [Accepted: 07/09/2024] [Indexed: 07/28/2024] Open
Abstract
Access to treatment and medication for opioid use disorder (MOUD) is essential in reducing opioid use and associated behavioral risks, such as syringe sharing among persons who inject drugs (PWID). Syringe sharing among PWID carries high risk of transmission of serious infections such as hepatitis C and HIV. MOUD resources, such as methadone provider clinics, however, are often unavailable to PWID due to barriers like long travel distance to the nearest methadone provider and the required frequency of clinic visits. The goal of this study is to examine the uncertainty in the effects of travel distance in initiating and continuing methadone treatment and how these interact with different spatial distributions of methadone providers to impact co-injection (syringe sharing) risks. A baseline scenario of spatial access was established using the existing locations of methadone providers in a geographical area of metropolitan Chicago, Illinois, USA. Next, different counterfactual scenarios redistributed the locations of methadone providers in this geographic area according to the densities of both the general adult population and according to the PWID population per zip code. We define different reasonable methadone access assumptions as the combinations of short, medium, and long travel distance preferences combined with three urban/suburban travel distance preference. Our modeling results show that when there is a low travel distance preference for accessing methadone providers, distributing providers near areas that have the greatest need (defined by density of PWID) is best at reducing syringe sharing behaviors. However, this strategy also decreases access across suburban locales, posing even greater difficulty in regions with fewer transit options and providers. As such, without an adequate number of providers to give equitable coverage across the region, spatial distribution cannot be optimized to provide equitable access to all PWID. Our study has important implications for increasing interest in methadone as a resurgent treatment for MOUD in the United States and for guiding policy toward improving access to MOUD among PWID.
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Affiliation(s)
- Eric Tatara
- Consortium for Advanced Science and Engineering, University of Chicago, Chicago, Illinois, United States of America
- Decision and Infrastructure Sciences, Argonne National Laboratory, Lemont, Illinois, United States of America
| | - Qinyun Lin
- Center for Spatial Data Science, University of Chicago, Chicago, Illinois, United States of America
| | - Jonathan Ozik
- Consortium for Advanced Science and Engineering, University of Chicago, Chicago, Illinois, United States of America
- Decision and Infrastructure Sciences, Argonne National Laboratory, Lemont, Illinois, United States of America
| | - Marynia Kolak
- Center for Spatial Data Science, University of Chicago, Chicago, Illinois, United States of America
| | - Nicholson Collier
- Consortium for Advanced Science and Engineering, University of Chicago, Chicago, Illinois, United States of America
- Decision and Infrastructure Sciences, Argonne National Laboratory, Lemont, Illinois, United States of America
| | - Dylan Halpern
- Center for Spatial Data Science, University of Chicago, Chicago, Illinois, United States of America
| | - Luc Anselin
- Center for Spatial Data Science, University of Chicago, Chicago, Illinois, United States of America
| | - Harel Dahari
- The Program for Experimental & Theoretical Modeling, Division of Hepatology, Department of Medicine, Stritch School of Medicine, Loyola University Chicago, Maywood, Illinois, United States of America
| | - Basmattee Boodram
- Division of Community Health Sciences, School of Public Health, University of Illinois at Chicago, Chicago, Illinois, United States of America
| | - John Schneider
- Departments of Medicine and Public Health Sciences, University of Chicago, Chicago, Illinois, United States of America
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Pinkhover A, Celata K, Baker T, Chatterjee A, Lunze K. Mobile addiction treatment and harm reduction services as tools to address health inequities: a community case study of the Brockton Neighborhood Health Center mobile unit. Front Public Health 2024; 12:1407522. [PMID: 38957203 PMCID: PMC11217472 DOI: 10.3389/fpubh.2024.1407522] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2024] [Accepted: 06/07/2024] [Indexed: 07/04/2024] Open
Abstract
Opioid overdose deaths continue to increase in the US. Recent data show disproportionately high and increasing overdose death rates among Black, Latine, and Indigenous individuals, and people experiencing homelessness. Medications for opioid use disorder (MOUD) can be lifesaving; however, only a fraction of eligible individuals receive them. Our goal was to describe our experience promoting equitable MOUD access using a mobile delivery model. We implemented a mobile MOUD unit aiming to improve equitable access in Brockton, a racially diverse, medium-sized city in Massachusetts. Brockton has a relatively high opioid overdose death rate with increasingly disproportionate death rates among Black residents. Brockton Neighborhood Health Center (BNHC), a community health center, provides brick-and-mortar MOUD access. Through the Communities That HEAL intervention as part of the HEALing Communities Study (HCS), Brockton convened a community coalition with the aim of selecting evidence-based practices to decrease overdose deaths. BNHC leadership and coalition members recognized that traditional brick-and-mortar treatment locations were inaccessible to marginalized populations, and that a mobile program could increase MOUD access. In September 2021, with support from the HCS coalition, BNHC launched its mobile initiative - Community Care-in-Reach® - to bring low-threshold buprenorphine, harm reduction, and preventive care to high-risk populations. During implementation, the team encountered several challenges including: securing local buy-in; navigating a complex licensure process; maintaining operations throughout the COVID-19 pandemic; and finally, planning for sustainability. In two years of operation, the mobile team cared for 297 unique patients during 1,286 total visits. More than one-third (36%) of patients received buprenorphine prescriptions. In contrast to BNHC's brick-and-mortar clinics, patients with OUD seen on the mobile unit were more representative of historically marginalized racial and ethnic groups, and people experiencing homelessness, evidencing improved, equitable addiction care access for these historically disadvantaged populations. Offering varied services on the mobile unit, such as wound care, syringe and safer smoking supplies, naloxone, and other basic medical care, was a key engagement strategy. This on-demand mobile model helped redress systemic disadvantages in access to addiction treatment and harm reduction services, reaching diverse individuals to offer lifesaving MOUD at a time of inequitable increases in overdose deaths.
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Affiliation(s)
- Allyson Pinkhover
- Brockton Neighborhood Health Center, Brockton, MA, United States
- Johns Hopkins Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, United States
| | - Kelly Celata
- Brockton Neighborhood Health Center, Brockton, MA, United States
| | - Trevor Baker
- Boston Medical Center, Boston, MA, United States
| | - Avik Chatterjee
- Boston Medical Center, Boston, MA, United States
- Boston University Chobanian and Avedisian School of Medicine, Boston, MA, United States
| | - Karsten Lunze
- Boston Medical Center, Boston, MA, United States
- Boston University Chobanian and Avedisian School of Medicine, Boston, MA, United States
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Shrestha S, Stopka TJ, Hughto JMW, Case P, Palacios WR, Reilly B, Green TC. LatinX harm reduction capital, medication for opioid use disorder, and nonfatal overdose: A structural equation model analysis among people who use drugs in Massachusetts. Drug Alcohol Depend 2024; 259:111293. [PMID: 38643530 DOI: 10.1016/j.drugalcdep.2024.111293] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/02/2023] [Revised: 04/02/2024] [Accepted: 04/03/2024] [Indexed: 04/23/2024]
Abstract
BACKGROUND We introduce the concept of harm reduction capital (HRCap) as the combination of knowledge, resources, and skills related to substance use risk reduction, which we hypothesize to predict MOUD use and opioid overdose. In this study, we explored the interrelationships between ethnicity, HRCap, nonfatal overdose, and MOUD use among PWUD. METHODS Between 2017 and 2019, people who currently or in the past used opioids and who lived in Massachusetts completed a one-time survey on substance use history, treatment experiences, and use of harm reduction services. We fit first-order measurement constructs for positive and negative HRCap (facilitators and barriers). We used generalized structural equation models to examine the inter-relationships of the latent constructs with LatinX self-identification, past year overdose, and current use of MOUD. RESULTS HRCap barriers were positively associated with past-year overdose (b=2.6, p<0.05), and LatinX self-identification was inversely associated with HRCap facilitators (b=-0.49, p<0.05). There was no association between overdose in the past year and the current use of MOUD. LatinX self-identification was positively associated with last year methadone treatment (b=0.89, p<0.05) but negatively associated with last year buprenorphine treatment (b=-0.68, p<0.07). Latinx PWUD reported lower positive HRCap than white non-LatinX PWUD and had differential utilization of MOUD. CONCLUSION Our findings indicate that a recent overdose was not associated with the current use of MOUD, highlighting a severe gap in treatment utilization among individuals at the highest risk. The concept of HRCap and its use in the model highlight substance use treatment differences, opportunities for intervention, and empowerment.
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Affiliation(s)
- Shikhar Shrestha
- Department of Public Health and Community Medicine, Tufts University School of Medicine, Boston, MA, United States.
| | - Thomas J Stopka
- Department of Public Health and Community Medicine, Tufts University School of Medicine, Boston, MA, United States
| | - Jaclyn M W Hughto
- Department of Behavioral and Social Sciences, Brown University School of Public Health, Providence, RI, United States; Department of Epidemiology, Brown University School of Public Health, Providence, RI, United States; Center for Health Promotion and Health Equity, Brown University, Providence, RI, United States
| | - Patricia Case
- Bouvé College of Health Sciences, Northeastern University, Boston, MA, United States
| | - Wilson R Palacios
- School of Criminology & Justice Studies, University of Massachusetts, Lowell, MA, United States
| | - Brittni Reilly
- Massachusetts Department of Public Health, Bureau of Substance Addiction Services, Boston, MA, United States
| | - Traci C Green
- Department of Epidemiology, Brown University School of Public Health, Providence, RI, United States; Opioid Policy Research Collaborative, Heller School for Social Policy and Management, Brandeis University, Waltham, MA, United States; Department of Emergency Medicine, The Warren Alpert Medical School of Brown University, Providence, RI, United States
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12
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Liu R, Beetham T, Newton H, Busch SH. Access to treatment before and after Medicare coverage of opioid treatment programs. HEALTH AFFAIRS SCHOLAR 2024; 2:qxae076. [PMID: 38938273 PMCID: PMC11210307 DOI: 10.1093/haschl/qxae076] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 04/02/2024] [Revised: 05/16/2024] [Accepted: 06/04/2024] [Indexed: 06/29/2024]
Abstract
Since January 2020, Medicare has covered opioid use disorder (OUD) treatment services at opioid treatment programs (OTPs), the only outpatient settings allowed to dispense methadone for treating OUD. This study examined policy-associated changes in Medicare acceptance and the availability of four OUD treatment services (ongoing buprenorphine, HIV/AIDS education, employment services, and comprehensive mental health assessment), by for-profit status, and county-level changes in Medicare-accepting-OTPs access, by sociodemographic characteristics (racial composition, poverty rate, and rurality). Using data from the 2019-2022 National Directory of Drug and Alcohol Abuse Treatment Facilities, we found Medicare acceptance increased from 21.31% in 2018 to 80.76% in 2021. The availability of the four treatment services increased, but no increases were significantly associated with Medicare coverage. While county-level OTP access significantly improved, counties with higher rates of non-White residents experienced an additional average increase of 0.86 Medicare-accepting-OTPs (95% CI, 0.05-1.67) compared to those without higher rates of non-White populations. Overall, Medicare coverage was associated with improved OTP access, not ancillary services.
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Affiliation(s)
- Ruijie Liu
- Department of Health Policy and Management, Yale School of Public Health, New Haven, CT 06510, United States
| | - Tamara Beetham
- Department of Health Policy and Management, Yale School of Public Health, New Haven, CT 06510, United States
| | - Helen Newton
- Department of Family Medicine, University of North Carolina School of Medicine, Chapel Hill, NC 27599, United States
| | - Susan H Busch
- Department of Health Policy and Management, Yale School of Public Health, New Haven, CT 06510, United States
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Pasman E, Lee G, Singer S, Burson N, Agius E, Resko SM. Attitudes toward medications for opioid use disorder among peer recovery specialists. THE AMERICAN JOURNAL OF DRUG AND ALCOHOL ABUSE 2024; 50:391-400. [PMID: 38640497 DOI: 10.1080/00952990.2024.2332597] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/11/2023] [Revised: 01/30/2024] [Accepted: 03/06/2024] [Indexed: 04/21/2024]
Abstract
Background: Peer recovery specialists (PRSs) are substance use service providers with lived experience in recovery. Although a large body of research demonstrates the efficacy of medications for opioid use disorder (MOUD), emerging research suggests PRSs' attitudes toward MOUD are ambivalent or mixed. Few studies have quantitatively assessed factors influencing PRSs' attitudes.Objectives: This study identifies personal and professional characteristics associated with attitudes toward MOUD among PRSs.Methods: PRSs working at publicly funded agencies in Michigan completed a self-administered web-based survey (N = 266, 60.5% women). Surveys assessed socio-demographics, treatment and recovery history, attitudes toward clients, and attitudes toward MOUD. Multiple linear regression was used to identify factors associated with attitudes toward MOUD.Results: A minority of PRSs (21.4%) reported a history of treatment with MOUD, while nearly two-thirds reported current 12-step involvement (62.5%). Compared to PRSs without a history of MOUD treatment, PRSs who had positive (b = 4.71, p < .001) and mixed (b = 3.36, p = .010) experiences with MOUD had more positive attitudes; PRSs with negative experiences with MOUD had less positive attitudes (b = -3.16, p = .003). Current 12-step involvement (b = -1.63, p = .007) and more stigmatizing attitudes toward clients (b = -.294, p < .001) were associated with less positive attitudes toward MOUD. Black PRSs had less positive attitudes than White PRSs (b = -2.50, p = .001), and women had more positive attitudes than men (b = 1.19, p = .038).Conclusion: PRSs' attitudes toward MOUD varied based on the nature of their lived experience. Findings highlight considerations for training and supervising PRSs who serve individuals with opioid use disorder.
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Affiliation(s)
- Emily Pasman
- Center for the Study of Drugs, Alcohol, Smoking and Health, School of Nursing, University of Michigan, Ann Arbor, MI, USA
| | - Guijin Lee
- Department of Counseling and Human Development Services, University of Georgia, Athens, GA, USA
| | - Samantha Singer
- School of Social Work, Wayne State University, Detroit, MI, USA
| | - Nick Burson
- School of Social Work, Wayne State University, Detroit, MI, USA
| | - Elizabeth Agius
- School of Social Work, Wayne State University, Detroit, MI, USA
| | - Stella M Resko
- School of Social Work, Wayne State University, Detroit, MI, USA
- Merrill Palmer Skillman Institute, Wayne State University, Detroit, MI, USA
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Meyerson BE, Bentele KG, Brady BR, Stavros N, Russell DM, Mahoney AN, Garnett I, Jackson S, Garcia RC, Coles HB, Granillo B, Carter GA. Insufficient Impact: Limited Implementation of Federal Regulatory Changes to Methadone and Buprenorphine Access in Arizona During COVID-19. AJPM FOCUS 2024; 3:100177. [PMID: 38312524 PMCID: PMC10835120 DOI: 10.1016/j.focus.2023.100177] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 02/06/2024]
Abstract
Introduction This study examined the impact of federal regulatory changes on methadone and buprenorphine treatment during COVID-19 in Arizona. Methods A cohort study of methadone and buprenorphine providers from September 14, 2021 to April 15, 2022 measured the proportion of 6 treatment accommodations implemented at 3 time periods: before COVID-19, during Arizona's COVID-19 shutdown, and at the time of the survey completion. Accommodations included (1) telehealth, (2) telehealth buprenorphine induction, (3) increased multiday dosing, (4) license reciprocity, (5) home medications delivery, and (6) off-site dispensing. A multilevel model assessed the association of treatment setting, rurality, and treatment with accommodation implementation time. Results Over half (62.2%) of the 74-provider sample practiced in healthcare settings not primarily focused on addiction treatment, 19% practiced in methadone clinics, and 19% practiced in treatment clinics not offering methadone. Almost half (43%) were unaware of the regulatory changes allowing treatment accommodation. Telehealth was most frequently reported, increasing from 30% before COVID-19 to 80% at the time of the survey. Multiday dosing was the only accommodation substantially retracted after COVID-19 shutdown: from 41% to 23% at the time of the survey. Providers with higher patient limits were 2.5-3.2 times as likely to implement telehealth services, 4.4 times as likely to implement buprenorphine induction through telehealth, and 15.2-20.9 times as likely to implement license reciprocity as providers with lower patient limits. Providers of methadone implemented 12% more accommodations and maintained a higher average proportion of implemented accommodations during the COVID-19 shutdown period but were more likely to reduce the proportion of implemented accommodations (a 17-percentage point gap by the time of the survey). Conclusions Federal regulatory changes are not sufficient to produce a substantive or sustained impact on provider accommodations, especially in methadone medical treatment settings. Practice change interventions specific to treatment settings should be implemented and studied for their impact.
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Affiliation(s)
- Beth E Meyerson
- Harm Reduction Research Lab, Department of Family and Community Medicine, College of Medicine-Tucson, The University of Arizona, Tucson, Arizona
- Comprehensive Center for Pain and Addiction, The University of Arizona Health Sciences, Tucson, Arizona
| | - Keith G Bentele
- Harm Reduction Research Lab, Department of Family and Community Medicine, College of Medicine-Tucson, The University of Arizona, Tucson, Arizona
- Southwest Institute for Research on Women, College of Social & Behavioral Sciences, The University of Arizona, Tucson, Arizona
| | - Benjamin R Brady
- Harm Reduction Research Lab, Department of Family and Community Medicine, College of Medicine-Tucson, The University of Arizona, Tucson, Arizona
- Comprehensive Center for Pain and Addiction, The University of Arizona Health Sciences, Tucson, Arizona
- School of Interdisciplinary Health Programs, College of Health and Human Services, Western Michigan University, Kalamazoo, Michigan
| | - Nick Stavros
- Community Medical Services, Phoenix, Arizona
- Drug Policy Research and Advocacy Board, Tucson, Arizona
| | - Danielle M Russell
- Harm Reduction Research Lab, Department of Family and Community Medicine, College of Medicine-Tucson, The University of Arizona, Tucson, Arizona
- Drug Policy Research and Advocacy Board, Tucson, Arizona
- Kirby Institute, University of New South Wales, Sydney, Australia
| | - Arlene N Mahoney
- Harm Reduction Research Lab, Department of Family and Community Medicine, College of Medicine-Tucson, The University of Arizona, Tucson, Arizona
- Drug Policy Research and Advocacy Board, Tucson, Arizona
- Southwest Recovery Alliance, Phoenix, Arizona
| | - Irene Garnett
- Harm Reduction Research Lab, Department of Family and Community Medicine, College of Medicine-Tucson, The University of Arizona, Tucson, Arizona
- Drug Policy Research and Advocacy Board, Tucson, Arizona
| | | | | | | | - Brenda Granillo
- Southwest Institute for Research on Women, College of Social & Behavioral Sciences, The University of Arizona, Tucson, Arizona
| | - Gregory A Carter
- Harm Reduction Research Lab, Department of Family and Community Medicine, College of Medicine-Tucson, The University of Arizona, Tucson, Arizona
- Department of Community and Health Systems, Indiana University School of Nursing, Indiana University, Bloomington, Indiana
- Rural Center for AIDS/STD Prevention, School of Public Health-Bloomington, Indiana University, Bloomington, Indiana
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15
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Wang J, Bernson D, Erdman EA, Villani J, Chandler R, Kline D, White LF, Barocas JA. Intersectional inequities and longitudinal prevalence estimates of opioid use disorder in Massachusetts 2014-2020: a multi-sample capture-recapture analysis. LANCET REGIONAL HEALTH. AMERICAS 2024; 32:100709. [PMID: 38510791 PMCID: PMC10951507 DOI: 10.1016/j.lana.2024.100709] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/17/2023] [Revised: 02/18/2024] [Accepted: 02/20/2024] [Indexed: 03/22/2024]
Abstract
Background As overdoses continue to increase worldwide, accurate estimates are needed to understand the size of the population at risk and address health disparities. Capture-recapture methods may be used in place of direct estimation at nearly any geographic level (e.g., city, state, country) to estimate the size of the population with opioid use disorder (OUD). We performed a multi-sample capture-recapture analysis with persons aged 18-64 years to estimate the prevalence of OUD in Massachusetts from 2014 to 2020, stratified by sex and race/ethnicity. Methods We used seven statewide administrative data sources linked at the individual level. We developed log-linear models to estimate the unknown OUD-affected population. Uncertainty was characterized using 95% confidence intervals (95% CI) on the total counts and prevalence estimates. Findings The estimated OUD prevalence increased from 5.47% (95% CI = 4.89%, 5.98%) in 2014 to 5.79% (95% CI = 5.34%, 6.19%) in 2020. Prevalence among Hispanic females doubled (2.46% in 2014 to 4.23% in 2020) and prevalence rose to nearly 10% among Black non-Hispanic males and Hispanic males from 2014 through 2019. Estimates for Black non-Hispanic females more than doubled from 2014 through 2019 (3.39% to 7.09%), and then decreased to 5.69% in 2020. Interpretation This study is the first to provide OUD prevalence trend estimates by binary sex and race/ethnicity at a state level using capture-recapture methods. Using these methods as the international overdose crisis worsens can allow jurisdictions to appropriately allocate resources and targeted interventions to marginalised populations. Funding NIDA.
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Affiliation(s)
- Jianing Wang
- Biostatistics Center, Massachusetts General Hospital, Boston, MA, USA
| | - Dana Bernson
- Office of Population Health, Massachusetts Department of Public Health, Boston, MA, USA
| | - Elizabeth A. Erdman
- Office of Population Health, Massachusetts Department of Public Health, Boston, MA, USA
| | - Jennifer Villani
- National Institute on Drug Abuse, National Institutes of Health, Bethesda, MD, USA
| | - Redonna Chandler
- National Institute on Drug Abuse, National Institutes of Health, Bethesda, MD, USA
| | - David Kline
- Division of Public Health Sciences, Department of Biostatistics and Data Science, Wake Forest University School of Medicine, Winston-Salem, NC, USA
| | - Laura F. White
- Biostatistics Department, School of Public Health, Boston University, Boston, MA, USA
| | - Joshua A. Barocas
- Divisions of General Internal Medicine and Infectious Diseases, Department of Medicine, University of Colourado School of Medicine, Aurora, CO, USA
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Bedrick BS, Cary C, O'Donnell C, Marx C, Friedman H, Carter EB, Raghuraman N, Stout MJ, Ku BS, Xu KY, Kelly JC. County-level neonatal opioid withdrawal syndrome rates and real-world access to buprenorphine during pregnancy: An audit ("secret shopper") study in Missouri. DRUG AND ALCOHOL DEPENDENCE REPORTS 2024; 10:100218. [PMID: 38380272 PMCID: PMC10877162 DOI: 10.1016/j.dadr.2024.100218] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/30/2023] [Revised: 01/24/2024] [Accepted: 01/26/2024] [Indexed: 02/22/2024]
Abstract
Background Amid rising rates of neonatal opioid withdrawal syndrome (NOWS) worldwide and in many regions of the USA, we conducted an audit study ("secret shopper study") to evaluate the influence of county-level buprenorphine capacity and rurality on county-level NOWS rates. Methods In 2019, up to three phone calls were made to buprenorphine prescribers in the state of Missouri (USA). County-level buprenorphine capacity was defined as the number of clinicians (across all specialties) accepting pregnant people divided by the number of births. Multivariable negative binomial regression models estimated associations between buprenorphine capacity, rurality, and county-level NOWS rates, controlling for potential confounders (i.e., poverty, unemployment, and physician shortages) that may correspond to higher rates of NOWS and lower rates of buprenorphine prescribing. Analyses were stratified using tertiles of county-level overdose rates (top, middle, and lowest 1/3 of overdose rates). Results Of 115 Missouri counties, 81(70 %) had no buprenorphine capacity, 17(15 %) were low-capacity (<0.5-clinicians/1,000 births), and 17(15 %) were high-capacity (≥0.5/1,000 births). The mean NOWS rate was 6.5/1,000 births. In Missouri counties with both the highest and lowest opioid overdose rates, higher buprenorphine capacity did not correspond to decreases in NOWS rates (incidence rate ratio[IRR]=1.23[95 %-confidence-interval[CI]=0.65-2.32] and IRR=1.57[1.21-2.03] respectively). Rurality did not correspond to greater NOWS burden in both Missouri counties with highest and lowest opioid overdose rates. Conclusions The vast majority of counties in Missouri have no capacity for buprenorphine prescribing during pregnancy. Rurality and lower buprenorphine capacity did not significantly predict elevated rates of NOWS.
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Affiliation(s)
- Bronwyn S. Bedrick
- Department of Gynecology and Obstetrics, Johns Hopkins University School of Medicine, Baltimore, MD
| | - Caroline Cary
- Department of Obstetrics and Gynecology, Washington University School of Medicine, St. Louis, MO
| | - Carly O'Donnell
- Department of Obstetrics and Gynecology, Baylor College of Medicine, Houston, TX
| | - Christine Marx
- Department of Surgery, Washington University School of Medicine, St. Louis, MO
| | - Hayley Friedman
- Department of Pediatrics, Washington University School of Medicine, St. Louis, MO
| | - Ebony B. Carter
- Department of Obstetrics and Gynecology, University of North Carolina School of Medicine, Chapel Hill, NC
| | - Nandini Raghuraman
- Department of Obstetrics and Gynecology, Washington University School of Medicine, St. Louis, MO
| | - Molly J. Stout
- Department of Obstetrics and Gynecology, University of Michigan Medical School, Ann Arbor, MI
| | - Benson S. Ku
- Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta, GA
| | - Kevin Y Xu
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO
| | - Jeannie C. Kelly
- Department of Obstetrics and Gynecology, Washington University School of Medicine, St. Louis, MO
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Shearer RD, Segel JE, Howell BA, Jones AA, Khatri UG, da Silva DT, Vest N, Winkelman TN. Racial and Ethnic Differences in Heroin, Methamphetamine, and Cocaine Use, Treatment, and Mortality Trends in 3 National Data Sources-United States, 2010-2019. Med Care 2024; 62:151-160. [PMID: 38180005 PMCID: PMC10922552 DOI: 10.1097/mlr.0000000000001969] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/06/2024]
Abstract
BACKGROUND As overdose deaths continue to rise, public health officials need comprehensive surveillance data to design effective prevention, harm reduction, and treatment strategies. Disparities across race and ethnicity groups, as well as trends in substance use, treatment, or overdose deaths, have been examined individually, but reports rarely compare findings across multiple substances or data sources. OBJECTIVE To provide a broad assessment of the overdose crisis, we describe trends in substance use, treatment, and overdose mortality across racial and ethnic groups for multiple substances. RESEARCH DESIGN We conducted a longitudinal, cross-sectional analysis comparing trends. SUBJECTS We identified self-reported use from the National Survey on Drug Use and Health, substance use treatment admissions from the Treatment Episode Data Set-Admissions, and overdose deaths from the CDC's Multiple Cause of Death files. MEASURES We measured rates of substance use, treatment, and deaths involving heroin, methamphetamine, and cocaine among United States adults from 2010 to 2019. RESULTS Heroin, methamphetamine, and cocaine use increased, though not all changes were statistically significant. Treatment admissions indicating heroin and methamphetamine increased while admissions indicating cocaine decreased. Overdose deaths increased among all groups: methamphetamine (257%-1,115%), heroin (211%-577%), and cocaine (88%-259%). Changes in rates of use, treatment, and death for specific substances varied by racial and ethnic group. CONCLUSIONS Substance use, treatment, and overdose mortality changed considerably, though not always equivalently. Identifying diverging trends in substance-related measures for specific substances and racial and ethnic groups can inform targeted investment in treatment to reduce disparities and respond to emerging changes in the overdose crisis.
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Affiliation(s)
- Riley D. Shearer
- Health, Homelessness, and Criminal Justice Lab, Hennepin Healthcare Research Institute, Minneapolis, MN
- Division of Health Policy and Management, School of Public Health, University of Minnesota, Minneapolis, MN
| | - Joel E. Segel
- Department of Health Policy and Administration, The Pennsylvania State University, University Park, PA
- Consortium on Substance Use and Addiction, The Pennsylvania State University, University Park, PA
| | - Benjamin A. Howell
- Section of General Internal Medicine, Department of Medicine, Yale School of Medicine, New Haven, CT
- SEICHE Center for Health and Justice, Yale School of Medicine, New Haven, CT
- Program in Addiction Medicine, Yale School of Medicine, New Haven, CT
| | - Abenaa A. Jones
- Department of Human Development and Family Studies, The Pennsylvania State University, University Park, PA
| | - Utsha G. Khatri
- Department of Emergency Medicine, Icahn School of Medicine at Mount Sinai, New York, NY
| | - Daniel Teixeira da Silva
- National Clinician Scholars Program, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
- Department of General Internal Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | - Noel Vest
- Department of Anesthesia Stanford university School of Medicine, Stanford, CA
| | - Tyler N.A. Winkelman
- Health, Homelessness, and Criminal Justice Lab, Hennepin Healthcare Research Institute, Minneapolis, MN
- Division of General Internal Medicine, Department of Medicine, Hennepin Healthcare, Minneapolis, MN
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Miller EA, DeVeaugh-Geiss AM, Chilcoat HD. Opioid use disorder (OUD) and treatment for opioid problems among OUD symptom subtypes in individuals misusing opioids. DRUG AND ALCOHOL DEPENDENCE REPORTS 2024; 10:100220. [PMID: 38414666 PMCID: PMC10897812 DOI: 10.1016/j.dadr.2024.100220] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/28/2023] [Revised: 02/01/2024] [Accepted: 02/09/2024] [Indexed: 02/29/2024]
Abstract
Background In 2021, approximately 60 million individuals worldwide and 9 million individuals in the United States (US) reported opioid misuse. In the US, 2.5 million have OUD, of which only about a third receive any substance abuse treatment. OUD is often regarded as a monolithic disorder but different opioid problem subtypes may exist beyond DSM-IV/5 criteria. Understanding the characteristics of these subtypes could be useful for informing treatment and intervention strategies. Methods Latent class analysis was used to identify OUD symptom subtypes among persons in the US who reported misusing prescription opioids or heroin in the 2015-2018 National Survey on Drug Use and Health (n=10,928). Regression analyses were utilized to determine associations between class membership and treatment receipt, as well as demographic characteristics and other comorbid conditions. Results Five classes were identified with unique OUD symptom patterns: Class 1: Asymptomatic (71.6%), Class 2: Tolerance/Time (14.5%), Class 3: Loss of Control/Pharmacological (LOC/Pharmacol) (5.7%), Class 4: Social Impairment (2.6%), and Class 5: Pervasive (5.6%). Nearly all persons in the LOC/Pharmacol, Social Impairment, and Pervasive classes met criteria for OUD (98-100%); however, they differed in receipt of past-year treatment for substance use (28%, 28%, 49%, respectively). Age, race, education, insurance status, and criminal activity were also associated with treatment receipt. Conclusions There were considerable differences in OUD symptom patterns and substance use treatment among individuals who misused opioids. The findings indicate a substantial unmet need for OUD treatment and point to patterns of heterogeneity within OUD that can inform development of treatment programs.
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Affiliation(s)
- Emily A. Miller
- Virginia Commonwealth University School of Pharmacy, 410 N 12th St, Richmond, VA 23298, USA
| | | | - Howard D. Chilcoat
- Indivior, Inc., 10710 Midlothian Turnpike, Suite 125, North Chesterfield, VA 23235, USA
- Johns Hopkins Bloomberg School of Public Health, 624 North Broadway, Baltimore, MD 21205, USA
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Nedjat S, Wang Y, Eshtiaghi K, Fleming M. Is there a disparity in medications for opioid use disorder based on race/ethnicity and gender? A systematic review and meta-analysis. Res Social Adm Pharm 2024; 20:236-245. [PMID: 38101952 DOI: 10.1016/j.sapharm.2023.12.001] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2023] [Revised: 12/04/2023] [Accepted: 12/04/2023] [Indexed: 12/17/2023]
Abstract
BACKGROUND Access to medications for opioid use disorder (MOUD) among racial/ethnic minorities is a growing concern. OBJECTIVES Inequalities in receiving MOUD among gender and racial/ethnic groups were examined in this systematic review. METHODS Studies were retrieved by searching various databases and reference lists of reviews and selected full texts. Adjusted Odds Ratios (AORs) comparing MOUDs among racial/ethnic minorities to Whites were extracted or estimated from their findings. Meta-analysis was performed using STATA 17. RESULTS After screening 2438 records, 19 studies were included in this review in two categories. The first category consists of 11 studies comparing receiving MOUD between different races/ethnicities and genders at the individual level. The meta-analysis regarding AORs comparing Blacks, Hispanics, Asians, Native Americans/Alaska-Natives, Hawaiians, and mixed-race patients with Whites were 0.56 (95 % CI: 0.45-0.68), 0.72 (95 % CI: 0.55-0.94), 0.85 (95 % CI: 0.72-0.99), 0.88 (95%CI: 0.73-1.04), 0.27 (95 % CI: 0.03-2.18), and 0.97 (95 % CI: 0.81-1.16), respectively. The AOR of receiving MOUD for all minorities compared to Whites was 0.70 (95 % CI: 0.61-0.80). Overall AOR comparing MOUD for females to males was 0.95 (95 % CI: 0.87-1.04). The second category of articles compared buprenorphine and methadone treatment among ethnic/racial minorities and Whites. CONCLUSIONS Compared to Whites, Blacks, Hispanics, and Asians have limited access to MOUD. The findings suggest that methadone is the predominant medication for racial/ethnic minorities, while Whites and high-income communities receive buprenorphine more. It is crucial to re-design policies to bridge the gap in access to MOUD.
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Affiliation(s)
- Saharnaz Nedjat
- Department of Pharmaceutical Economics and Policy, Chapman University School of Pharmacy, Irvine, CA, USA
| | - Yun Wang
- Department of Pharmaceutical Economics and Policy, Chapman University School of Pharmacy, Irvine, CA, USA
| | - Khashayar Eshtiaghi
- Department of Pharmaceutical Economics and Policy, Chapman University School of Pharmacy, Irvine, CA, USA
| | - Marc Fleming
- Department of Pharmaceutical Economics and Policy, Chapman University School of Pharmacy, Irvine, CA, USA.
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Lindsay AR, Winkelman TNA, Bart G, Rhodes MT, Shearer RD. Hospital Addiction Medicine Consultation Service Orders and Outcomes by Patient Race and Ethnicity in an Urban, Safety-Net Hospital. J Gen Intern Med 2024; 39:168-175. [PMID: 37552419 PMCID: PMC10853106 DOI: 10.1007/s11606-023-08356-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/13/2023] [Accepted: 07/27/2023] [Indexed: 08/09/2023]
Abstract
BACKGROUND Hospital admissions involving substance use disorders are increasing and represent an opportunity to engage patients in substance use treatment. Addiction medicine consultation services improve access to medications for opioid use disorder (MOUD) and patient outcomes. However, as hospitals continue to adopt addiction medicine consultation services it is important to identify where disparities may emerge in the process of care. OBJECTIVE To describe addiction medicine consultation service use by race and ethnicity as well as substance to identify opportunities to reduce substance use treatment disparities. DESIGN Retrospective cohort study using 2016-2021 Electronic Health Record data from a large Midwest safety-net hospital. PARTICIPANTS Hospitalized adults aged 18 or older, with one or more substance use disorders. MAIN MEASURES Consultation orders placed, patient seen by consult provider, and receipt of MOUD by self-reported race. KEY RESULTS Between 2016 and 2021, we identified 16,895 hospitalized patients with a substance use disorder. Consultation orders were placed for 6344 patients and 2789 were seen by the consult provider. Black patients were less likely (aOR = 0.58; 95% CI: 0.53-0.63) to have an addiction medicine consultation order placed and, among patients with a consultation order, were less likely (aOR = 0.74; 95% CI: 0.65-0.85) to be seen by the consult provider than White patients. Overall, Black patients with OUD were also less likely to receive MOUD in the hospital (aOR = 0.63; 95% CI: 0.50-0.79) compared to White patients. However, there were no differences in MOUD receipt among Black and White patients seen by the consult provider. CONCLUSIONS Using Electronic Health Record data, we identified racial and ethnic disparities at multiple points in the inpatient addiction medicine consultation process. Addressing these disparities may support more equitable access to MOUD and other substance use treatment in the hospital setting.
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Affiliation(s)
- Amber R Lindsay
- Division of General Internal Medicine, Department of Medicine, Hennepin Healthcare, Minneapolis, MN, USA
| | - Tyler N A Winkelman
- Division of General Internal Medicine, Department of Medicine, Hennepin Healthcare, Minneapolis, MN, USA
- Health, Homelessness, and Criminal Justice Lab, Hennepin Healthcare Research Institute, Minneapolis, MN, USA
| | - Gavin Bart
- Division of Addiction Medicine, Department of Medicine, Hennepin Healthcare, Minneapolis, MN, USA
| | - Michael T Rhodes
- Division of Hospital Medicine, Department of Medicine, Hennepin Healthcare, Minneapolis, MN, USA
| | - Riley D Shearer
- Health, Homelessness, and Criminal Justice Lab, Hennepin Healthcare Research Institute, Minneapolis, MN, USA.
- Division of Health Policy and Management, School of Public Health, University of Minnesota Medical School, 420 Delaware St. Minneapolis, Minneapolis, DE, 55455, USA.
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21
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Rawy M, Abdalla G, Look K. Polysubstance mortality trends in White and Black Americans during the opioid epidemic, 1999-2018. BMC Public Health 2024; 24:112. [PMID: 38184563 PMCID: PMC10771660 DOI: 10.1186/s12889-023-17563-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2022] [Accepted: 12/21/2023] [Indexed: 01/08/2024] Open
Abstract
BACKGROUND Psychoactive drug combinations are increasingly contributing to overdose deaths among White and Black Americans. To understand the evolving nature of overdose crisis, inform policies, and develop tailored and equitable interventions, this study provides a comprehensive assessment of polysubstance mortality trends by race and sex during the opioid epidemic. METHODS We used serial cross-sectional US mortality data for White and Black populations from 1999 through 2018 to calculate annual age-adjusted death rates (AADR) involving any opioid, opioid subtypes, benzodiazepines, cocaine, psychostimulants, or combinations of these drugs, stratified by race and sex. Trend changes in AADR were analyzed using joinpoint regression models and expressed as average annual percent change (AAPC) during each period of the three waves of the opioid epidemic: 1999-2010 (wave 1), 2010-2013 (wave 2), and 2013-2018 (wave 3). Prevalence measures assessed the percent co-involvement of an investigated drug in the overall death from another drug. RESULTS Polysubstance mortality has shifted from a modest rise in death rates due to benzodiazepine-opioid overdoses among White persons (wave 1) to a substantial increase in death rates due to illicit drug combinations impacting both White and Black populations (wave 3). Concurrent cocaine-opioid use had the highest polysubstance mortality rates in 2018 among Black (5.28 per 100,000) and White (3.53 per 100,000) persons. The steepest increase in death rates during wave 3 was observed across all psychoactive drugs when combined with synthetic opioids in both racial groups. Since 2013, Black persons have died faster from cocaine-opioid and psychostimulant-opioid overdoses. Between 2013 and 2018, opioids were highly prevalent in cocaine-related deaths, increasing by 33% in White persons compared to 135% in Blacks. By 2018, opioids contributed to approximately half of psychostimulant and 85% of benzodiazepine fatal overdoses in both groups. The magnitude and type of drug combinations with the highest death rates differed by race and sex, with Black men exhibiting the highest overdose burden beginning in 2013. CONCLUSIONS The current drug crisis should be considered in the context of polysubstance use. Effective measures and policies are needed to curb synthetic opioid-involved deaths and address disparate mortality rates in Black communities.
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Affiliation(s)
- Marwa Rawy
- University of Wisconsin-Madison, Madison, USA.
| | | | - Kevin Look
- University of Wisconsin-Madison, Madison, USA
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22
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Scheidell JD, Pitre M, Andraka-Christou B. Racial and ethnic inequities in substance use treatment among women with opioid use disorder. THE AMERICAN JOURNAL OF DRUG AND ALCOHOL ABUSE 2024; 50:106-116. [PMID: 38295349 DOI: 10.1080/00952990.2023.2291748] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/20/2023] [Accepted: 12/02/2023] [Indexed: 02/02/2024]
Abstract
Background: Research describes inequities in substance use treatment, but few studies focus specifically on racial and ethnic disparities in a range of aspects of substance use treatment among women with opioid use disorder (OUD).Objective: To examine whether substance use treatment (i.e. receipt, sources, barriers) differs by race and ethnicity among women with opioid use disorder (OUD) and to identify factors associated with treatment gap (i.e. needing treatment but not receiving it).Methods: We performed cross-sectional analyses using National Survey on Drug Use and Health 2015-2019 data, restricted to non-Hispanic Black, non-Hispanic White, and Hispanic women with past-year OUD (unweighted n = 1089). We estimated the prevalence of aspects of treatment among racial and ethnic groups, and used modified Poisson regression to estimate correlates of reported treatment gap.Results: Approximately 68% of White versus 87% of Black and 81% of Hispanic women with OUD had a treatment gap (p-value 0.0034). Commonly reported barriers to treatment included prioritization, affordability, and stigma. Older age was associated with lower prevalence of treatment gap among all women [prevalence ratio (PR) = 0.83, and 95% confidence interval (CI): 0.76, 0.92], while criminal legal involvement and healthcare coverage was associated with a lower prevalence of treatment gap among Hispanic and White women only (past year arrest: Hispanic women PR = 0.38, 95% CI: 0.17, 0.86; White women PR = 0.62, 95% CI: 0.47, 0.82).Conclusions: Receipt of treatment is low among women with OUD, especially Black and Hispanic women. Intersectional intervention approaches are needed to increase access and reduce inequities.
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Affiliation(s)
- Joy D Scheidell
- Department of Health Sciences, College of Health Professions and Sciences, University of Central Florida, Orlando, United States
| | - Maya Pitre
- Department of Social Work, College of Health Professions and Sciences, University of Central Florida, Orlando, United States
| | - Barbara Andraka-Christou
- School of Global Health Management and Informatics, College of Community Innovation and Education, University of Central Florida, Orlando, United States
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Amiri S, Panwala V, Amram O. Disparities in access to opioid treatment programs and buprenorphine providers by race and ethnicity in the contiguous U.S. JOURNAL OF SUBSTANCE USE AND ADDICTION TREATMENT 2024; 156:209193. [PMID: 37890620 DOI: 10.1016/j.josat.2023.209193] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/22/2023] [Revised: 07/06/2023] [Accepted: 10/10/2023] [Indexed: 10/29/2023]
Abstract
BACKGROUND The burden of drug overdose mortality varies by race and ethnicity, with American Indian/Alaska Native (AI/AN), Black, and White people experiencing the largest burden. We analyzed census block group data to evaluate differences in travel distance to opioid treatment programs (OTP) and buprenorphine providers by race and ethnicity. METHODS The Substance Abuse and Mental Health Services Administration provided the addresses of OTPs and buprenorphine providers. The study classified block groups as majority (≥50 %) AI/AN, Black, Asian, White, no single racial majority, or Hispanic. We classified deprivation and rurality using the Area Deprivation Index and Rural-Urban Commuting Area codes. The study applied generalized linear mixed models. RESULTS Among all block groups, the median road distance to the nearest OTPs and buprenorphine providers was 8 and 2 miles, respectively. AI/AN-majority block groups had the longest median distances to OTPs (88 miles versus 4-10 miles) and buprenorphine providers (17 miles versus 1-3 miles) compared to other racial or ethnic majority block groups. For OTPs and buprenorphine providers, travel distances were slightly greater in more deprived block groups compared to less deprived block groups. The median distance to the nearest OTPs and buprenorphine providers were larger in micropolitan and small town/rural block groups compared to metropolitan areas. CONCLUSIONS Disparities exist in travel distance to OTPs and buprenorphine providers. People in block groups with AI/AN-majority, nonmetropolitan, or more deprived designation experience travel disparities accessing treatment. Future research should develop targeted interventions to reduce access to care disparities for individuals with opioid use disorder.
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Affiliation(s)
- Solmaz Amiri
- Institute for Research and Education to Advance Community Health (IREACH), Elson S. Floyd College of Medicine, Washington State University, Seattle, WA, USA.
| | - Victoria Panwala
- Elson S. Floyd College of Medicine, Washington State University, Seattle, WA, USA
| | - Ofer Amram
- Department of Nutrition and Exercise Physiology, Elson S. Floyd College of Medicine, Washington State University, Spokane, USA
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24
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Barsky BA, Dunn D, Erdman EA, Jolin JR, Rosenthal MB. Rates of Opioid Overdose Among Racial and Ethnic Minority Individuals Released From Prison. JAMA HEALTH FORUM 2023; 4:e234455. [PMID: 38127589 PMCID: PMC10739083 DOI: 10.1001/jamahealthforum.2023.4455] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2023] [Accepted: 10/14/2023] [Indexed: 12/23/2023] Open
Abstract
This cross-sectional study examines opioid overdose patterns by race and ethnicity among individuals released from prison in Massachusetts.
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Affiliation(s)
- Benjamin A. Barsky
- Interfaculty Initiative in Health Policy, Harvard University, Cambridge, Massachusetts
- Edmond & Lily Safra Center for Ethics, Cambridge, Massachusetts
| | - Devon Dunn
- Massachusetts Department of Public Health, Boston
| | | | - James R. Jolin
- Government and Global Health and Health Policy, Harvard College, Cambridge, Massachusetts
| | - Meredith B. Rosenthal
- Interfaculty Initiative in Health Policy, Harvard University, Cambridge, Massachusetts
- Harvard T.H. Chan School of Public Health, Boston, Massachusetts
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25
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DeSisto CL, Terplan M, Kacha-Ochana A, Green JL, Mueller T, Cox S, Ko JY. Buprenorphine use and setting type among reproductive-aged women self-reporting nonmedical prescription opioid use. JOURNAL OF SUBSTANCE USE AND ADDICTION TREATMENT 2023; 155:209083. [PMID: 37245854 PMCID: PMC10676438 DOI: 10.1016/j.josat.2023.209083] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/20/2022] [Revised: 04/11/2023] [Accepted: 05/23/2023] [Indexed: 05/30/2023]
Abstract
INTRODUCTION Screening for opioid misuse and treatment for opioid use disorder are critical for reducing morbidity and mortality. We sought to understand the extent of self-reported past 30-day buprenorphine use in various settings among women of reproductive age with self-reported nonmedical prescription opioid use being assessed for substance use problems. METHODS The study collected data from individuals being assessed for substance use problems using the Addiction Severity Index-Multimedia Version in 2018-2020. We stratified the sample of 10,196 women ages 12-55 self-reporting past 30-day nonmedical prescription opioid use by buprenorphine use and setting type. We categorized setting types as: buprenorphine in specialty addiction treatment, buprenorphine in office-based opioid treatment, and diverted buprenorphine. We included each woman's first intake assessment during the study period. The study assessed number of buprenorphine products, reasons for using buprenorphine, and sources of buprenorphine procurement. The study calculated frequency of reasons for using buprenorphine to treat opioid use disorder outside of a doctor-managed treatment, overall and by race/ethnicity. RESULTS Overall, 25.5 % of the sample used buprenorphine in specialty addiction treatment, 6.1 % used buprenorphine prescribed in office-based treatment, 21.7 % used diverted buprenorphine, and 46.7 % reported no buprenorphine use during the past 30 days. Among women who reported using buprenorphine to treat opioid use disorder, but not as part of a doctor-managed treatment, 72.3 % could not find a provider or get into a treatment program, 21.8 % did not want to be part of a program or see a provider, and 6.0 % reported both; a higher proportion of American Indian/Alaska Native women (92.1 %) reported that they could not find a provider or get into a treatment program versus non-Hispanic White (78.0 %), non-Hispanic Black (76.0 %), and Hispanic (75.0 %) women. CONCLUSIONS Appropriate screening for nonmedical prescription opioid use to assess need for treatment with medication for opioid use disorder is important for all women of reproductive age. Our data highlight opportunities to improve treatment program accessibility and availability and support the need to increase equitable access for all women.
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Affiliation(s)
- Carla L DeSisto
- Division of Reproductive Health, National Center for Chronic Disease Prevention and Health Promotion, Centers for Disease Control and Prevention, 4770 Buford Hwy NE, Chamblee, GA 30341, United States of America.
| | - Mishka Terplan
- Friends Research Institute, 1040 Park Ave, Baltimore, MD 21201, United States of America
| | - Akadia Kacha-Ochana
- Office of Strategy and Innovation, National Center for Injury Prevention and Control, Centers for Disease Control and Prevention, 4770 Buford Hwy NE, Chamblee, GA 30341, United States of America
| | - Jody L Green
- Integrated Behavioral Health, Inflexxion, 2 Park Plaza, Suite 1200, Irvine, CA 92614, United States of America
| | - Trisha Mueller
- Division of Reproductive Health, National Center for Chronic Disease Prevention and Health Promotion, Centers for Disease Control and Prevention, 4770 Buford Hwy NE, Chamblee, GA 30341, United States of America
| | - Shanna Cox
- Division of Reproductive Health, National Center for Chronic Disease Prevention and Health Promotion, Centers for Disease Control and Prevention, 4770 Buford Hwy NE, Chamblee, GA 30341, United States of America
| | - Jean Y Ko
- Division of Reproductive Health, National Center for Chronic Disease Prevention and Health Promotion, Centers for Disease Control and Prevention, 4770 Buford Hwy NE, Chamblee, GA 30341, United States of America
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26
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Xu KY, Schiff DM, Jones HE, Martin CE, Kelly JC, Bierut LJ, Carter EB, Grucza RA. Racial and Ethnic Inequities in Buprenorphine and Methadone Utilization Among Reproductive-Age Women with Opioid Use Disorder: an Analysis of Multi-state Medicaid Claims in the USA. J Gen Intern Med 2023; 38:3499-3508. [PMID: 37436568 PMCID: PMC10713957 DOI: 10.1007/s11606-023-08306-0] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/10/2023] [Accepted: 06/27/2023] [Indexed: 07/13/2023]
Abstract
BACKGROUND Associations between race/ethnicity and medications to treat OUD (MOUD), buprenorphine and methadone, in reproductive-age women have not been thoroughly studied in multi-state samples. OBJECTIVE To evaluate racial/ethnic variation in buprenorphine and methadone receipt and retention in a multi-state U.S. sample of Medicaid-enrolled, reproductive-age women with opioid use disorder (OUD) at the beginning of OUD treatment. DESIGN Retrospective cohort study. SUBJECTS Reproductive-age (18-45 years) women with OUD, in the Merative™ MarketScan® Multi-State Medicaid Database (2011-2016). MAIN MEASURES Differences by race/ethnicity (non-Hispanic White, non-Hispanic Black, Hispanic, "other" race/ethnicity) in the likelihood of receiving buprenorphine and methadone during the start of OUD treatment (yes/no) were estimated using multivariable logistic regression. Differences in time to medication discontinuation (days) by race/ethnicity were evaluated using multivariable Cox regression. RESULTS Of 66,550 reproductive-age Medicaid enrollees with OUD (84.1% non-Hispanic White, 5.9% non-Hispanic Black, 1.0% Hispanic, 5.3% "other"), 15,313 (23.0%) received buprenorphine and 6290 (9.5%) methadone. Non-Hispanic Black enrollees were less likely to receive buprenorphine (adjusted odds ratio, aOR = 0.76 [0.68-0.84]) and more likely to be referred to methadone clinics (aOR = 1.78 [1.60-2.00]) compared to non-Hispanic White participants. Across both buprenorphine and methadone in unadjusted analyses, the median discontinuation time for non-Hispanic Black enrollees was 123 days compared to 132 days and 141 days for non-Hispanic White and Hispanic enrollees respectively (χ2 = 10.6; P = .01). In adjusted analyses, non-Hispanic Black enrollees experienced greater discontinuation for buprenorphine and methadone (adjusted hazard ratio, aHR = 1.16 [1.08-1.24] and aHR = 1.16 [1.07-1.30] respectively) compared to non-Hispanic White peers. We did not observe differences in buprenorphine or methadone receipt or retention for Hispanic enrollees compared to the non-Hispanic White enrollees. CONCLUSIONS Our data illustrate inequities between non-Hispanic Black and non-Hispanic White Medicaid enrollees with regard to buprenorphine and methadone utilization in the USA, consistent with literature on the racialized origins of methadone and buprenorphine treatment.
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Affiliation(s)
- Kevin Y Xu
- Health and Behavior Research Center, Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA.
| | - Davida M Schiff
- Division of General Academic Pediatrics, Mass General Hospital for Children, Boston, MA, USA
| | - Hendrée E Jones
- Department of Obstetrics and Gynecology, University of North Carolina School of Medicine, Chapel Hill, NC, USA
| | - Caitlin E Martin
- Department of Obstetrics and Gynecology and VCU Institute for Drug and Alcohol Studies, Virginia Commonwealth University School of Medicine, Richmond, VA, USA
| | - Jeannie C Kelly
- Division of Maternal-Fetal Medicine and the Division of Clinical Research, Department of Obstetrics and Gynecology, Washington University School of Medicine, St. Louis, MO, USA
| | - Laura J Bierut
- Health and Behavior Research Center, Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA
- Alvin J Siteman Cancer Center, Barnes Jewish Hospital, St. Louis, MO, USA
| | - Ebony B Carter
- Division of Maternal-Fetal Medicine and the Division of Clinical Research, Department of Obstetrics and Gynecology, Washington University School of Medicine, St. Louis, MO, USA
| | - Richard A Grucza
- Departments of Family and Community Medicine and Health and Outcomes Research, St. Louis University, St. Louis, MO, USA
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27
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Suarez E, Bartholomew TS, Plesons M, Ciraldo K, Ostrer L, Serota DP, Chueng TA, Frederick M, Onugha J, Tookes HE. Adaptation of the Tele-Harm Reduction intervention to promote initiation and retention in buprenorphine treatment among people who inject drugs: a retrospective cohort study. Ann Med 2023; 55:733-743. [PMID: 36856571 PMCID: PMC9980015 DOI: 10.1080/07853890.2023.2182908] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/26/2022] [Revised: 12/22/2022] [Accepted: 02/15/2023] [Indexed: 03/02/2023] Open
Abstract
Background: At the start of the pandemic, relaxation of buprenorphine prescribing regulations created an opportunity to create new models of medications for opioid use disorder (MOUD) delivery and care. To expand and improve access to MOUD, we adapted and implemented the Tele-Harm Reduction (THR) intervention; a multicomponent, telehealth-based and peer-driven intervention to promote HIV viral suppression among people who inject drugs (PWID) accessing a syringe services program (SSP). This study examined buprenorphine initiation and retention among PWID with opioid use disorder who received the adapted THR intervention at the IDEA Miami SSP.Methods: A retrospective chart review of participants who received the THR intervention for MOUD was performed to examine the impact of telehealth on buprenorphine retention. Our primary outcome was three-month retention, defined as three consecutive months of buprenorphine dispensed from the pharmacy.Results: A total of 109 participants received the adapted THR intervention. Three-month retention rate on buprenorphine was 58.7%. Seeing a provider via telehealth at baseline or any follow up visit (aOR = 7.53, 95% CI: [2.36, 23.98]) and participants who had received an escalating dose of buprenorphine after baseline visit (aOR = 8.09, 95% CI: [1.83, 35.87]) had a higher adjusted odds of retention at three months. Participants who self-reported or tested positive for a stimulant (methamphetamine, amphetamine, or cocaine) at baseline had a lower adjusted odds of retention on buprenorphine at three months (aOR = 0.29, 95% CI: [0.09, 0.93]).Conclusions: Harm reduction settings can adapt dynamically to the needs of PWID in provision of critical lifesaving buprenorphine in a truly destigmatising approach. Our pilot suggests that an SSP may be an acceptable and feasible venue for delivery of THR to increase uptake of buprenorphine by PWID and promote retention in care.KEY MESSAGESThe Tele-Harm Reduction intervention can be adapted for initiating and retaining people who inject drugs with opioid use disorder on buprenorphine within a syringe services program settingUsing telehealth was associated with increased three-month buprenorphine retentionBaseline stimulant use was negatively associated with three-month buprenorphine retention.
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Affiliation(s)
- Edward Suarez
- Department of Psychiatry and Behavioral Sciences, University of Miami Miller School of Medicine, Miami, FL, USA
| | - Tyler S. Bartholomew
- Division of Health Services Research and Policy, Department of Public Health Sciences, University of Miami Miller School of Medicine, Miami, FL, USA
| | - Marina Plesons
- University of Miami Miller School of Medicine, Miami, FL, USA
| | - Katrina Ciraldo
- Department of Family and Community Medicine & Department of Obstetrics, Gynecology and Reproductive Sciences, University of Miami Miller School of Medicine, Miami, FL, USA
| | - Lily Ostrer
- University of Miami Miller School of Medicine, Miami, FL, USA
| | - David P. Serota
- Division of Infectious Diseases, Department of Medicine, University of Miami Miller School of Medicine, Miami, FL, USA
| | - Teresa A. Chueng
- Division of Infectious Diseases, Department of Medicine, University of Miami Miller School of Medicine, Miami, FL, USA
| | - Morgan Frederick
- Division of Infectious Diseases, Department of Medicine, University of Miami Miller School of Medicine, Miami, FL, USA
| | - Jason Onugha
- Department of Psychiatry and Behavioral Sciences, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
| | - Hansel E. Tookes
- Division of Infectious Diseases, Department of Medicine, University of Miami Miller School of Medicine, Miami, FL, USA
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28
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Golan OK, Sheng F, Dick AW, Sorbero M, Whitaker DJ, Andraka-Christou B, Pigott T, Gordon AJ, Stein BD. Differences in medicaid expansion effects on buprenorphine treatment utilization by county rurality and income: A pharmacy data claims analysis from 2009-2018. DRUG AND ALCOHOL DEPENDENCE REPORTS 2023; 9:100193. [PMID: 37876376 PMCID: PMC10590758 DOI: 10.1016/j.dadr.2023.100193] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/20/2023] [Revised: 10/09/2023] [Accepted: 10/09/2023] [Indexed: 10/26/2023]
Abstract
Background Although use of buprenorphine for treating opioid use disorder increased over the past decade, buprenorphine utilization remains limited in lower-income and rural areas. We examine how the Affordable Care Act Medicaid expansion influenced buprenorphine initiation rates by county income and evaluate how associations differ by county rural-urban status. Methods This study used nationwide 2009-2018 IQVIA retail pharmacy data and a comparative interrupted time series framework-a hybrid framework combining regression discontinuity and difference-in-difference approaches. We used piecewise linear estimation to quantify changes in buprenorphine initiation rates before and after Medicaid expansion. Results The sample included observations from 376,704 county-months. We identified 5,227,340 new buprenorphine treatment episodes, with an average of 9.2 new buprenorphine episodes per month per 100,000 county residents. Among urban counties, those with the lowest median incomes experienced significantly larger increases in buprenorphine initiation rates associated with Medicaid expansion than counties with higher median incomes (5-year rates difference est=3525.3, se=1695.3, p = 0.04). However, among rural counties, there was no significant association between buprenorphine initiation rates and county median income after Medicaid expansion (5-year rates difference est=979.0, se=915.8, p = 0.29). Conclusions Medicaid expansion was associated with a reduction in income-related buprenorphine disparities in urban counties, but not in rural counties. To achieve more equitable buprenorphine access, future policies should target low-income rural areas.
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Affiliation(s)
- Olivia K. Golan
- NORC at the University of Chicago, Chicago, IL, United States
- School of Public Health, Georgia State University, Atlanta, Georgia
| | | | | | | | | | - Barbara Andraka-Christou
- School of Global Health Management & Informatics, University of Central Florida, Orlando, FL, United States
- Department of Internal Medicine (Secondary Joint Appointment), University of Central Florida, Orlando, FL, United States
| | - Therese Pigott
- School of Public Health, Georgia State University, Atlanta, Georgia
| | - Adam J. Gordon
- Informatics, Decision-Enhancement, and Analytic Sciences (IDEAS) Center, VA Salt Lake City Health Care System, Salt Lake City, UT, United States
- Program for Addiction Research, Clinical Care, Knowledge and Advocacy (PARCKA), Division of Epidemiology, Department of Internal Medicine, University of Utah School of Medicine, Salt Lake City, UT, United States
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Tatara E, Lin Q, Ozik J, Kolak M, Collier N, Halpern D, Anselin L, Dahari H, Boodram B, Schneider J. Spatial inequities in access to medications for treatment of opioid use disorder highlight scarcity of methadone providers under counterfactual scenarios. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2023:2023.05.12.23289915. [PMID: 37292847 PMCID: PMC10246029 DOI: 10.1101/2023.05.12.23289915] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/10/2023]
Abstract
Access to treatment and medication for opioid use disorder (MOUD) is essential in reducing opioid use and associated behavioral risks, such as syringe sharing among persons who inject drugs (PWID). Syringe sharing among PWID carries high risk of transmission of serious infections such as hepatitis C and HIV. MOUD resources, such as methadone provider clinics, however, are often unavailable to PWID due to barriers like long travel distance to the nearest methadone provider and the required frequency of clinic visits. The goal of this study is to examine the uncertainty in the effects of travel distance in initiating and continuing methadone treatment and how these interact with different spatial distributions of methadone providers to impact co-injection (syringe sharing) risks. A baseline scenario of spatial access was established using the existing locations of methadone providers in a geographical area of metropolitan Chicago, Illinois, USA. Next, different counterfactual scenarios redistributed the locations of methadone providers in this geographic area according to the densities of both the general adult population and according to the PWID population per zip code. We define different reasonable methadone access assumptions as the combinations of short, medium, and long travel distance preferences combined with three urban/suburban travel distance preference. Our modeling results show that when there is a low travel distance preference for accessing methadone providers, distributing providers near areas that have the greatest need (defined by density of PWID) is best at reducing syringe sharing behaviors. However, this strategy also decreases access across suburban locales, posing even greater difficulty in regions with fewer transit options and providers. As such, without an adequate number of providers to give equitable coverage across the region, spatial distribution cannot be optimized to provide equitable access to all PWID. Our study has important implications for increasing interest in methadone as a resurgent treatment for MOUD in the United States and for guiding policy toward improving access to MOUD among PWID.
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Affiliation(s)
- Eric Tatara
- Consortium for Advanced Science and Engineering, University of Chicago, Chicago, IL, USA
- Decision and Infrastructure Sciences, Argonne National Laboratory, Lemont, IL, USA
| | - Qinyun Lin
- Center for Spatial Data Science, University of Chicago, Chicago, IL, USA
| | - Jonathan Ozik
- Consortium for Advanced Science and Engineering, University of Chicago, Chicago, IL, USA
- Decision and Infrastructure Sciences, Argonne National Laboratory, Lemont, IL, USA
| | - Marynia Kolak
- Center for Spatial Data Science, University of Chicago, Chicago, IL, USA
| | - Nicholson Collier
- Consortium for Advanced Science and Engineering, University of Chicago, Chicago, IL, USA
- Decision and Infrastructure Sciences, Argonne National Laboratory, Lemont, IL, USA
| | - Dylan Halpern
- Center for Spatial Data Science, University of Chicago, Chicago, IL, USA
| | - Luc Anselin
- Center for Spatial Data Science, University of Chicago, Chicago, IL, USA
| | - Harel Dahari
- The Program for Experimental & Theoretical Modeling, Division of Hepatology, Department of Medicine, Stritch School of Medicine, Loyola University Chicago, Maywood, IL, USA
| | - Basmattee Boodram
- Division of Community Health Sciences, School of Public Health, University of Illinois at Chicago, Chicago, IL, USA
| | - John Schneider
- University of Chicago Medicine, Department of Infectious Disease, Chicago, IL, USA
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Miles J, Treitler P, Lloyd J, Samples H, Mahone A, Hermida R, Gupta S, Duncan A, Baaklini V, Simon KI, Crystal S. Racial And Ethnic Disparities In Buprenorphine Receipt Among Medicare Beneficiaries, 2015-19. Health Aff (Millwood) 2023; 42:1431-1438. [PMID: 37782874 PMCID: PMC10910625 DOI: 10.1377/hlthaff.2023.00205] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/04/2023]
Abstract
We examined Medicare Part D claims from the period 2015-19 to identify state and national racial and ethnic disparities in buprenorphine receipt among Medicare disability beneficiaries with diagnosed opioid use disorder or opioid overdose. Racial and ethnic disparities in buprenorphine use remained persistently high during the study period, especially for Black beneficiaries, suggesting the need for targeted interventions and policies.
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Affiliation(s)
- Jennifer Miles
- Jennifer Miles , Rutgers University, New Brunswick, New Jersey
| | | | | | | | | | | | - Sumedha Gupta
- Sumedha Gupta, Indiana University-Purdue University Indianapolis, Indianapolis, Indiana
| | | | | | - Kosali I Simon
- Kosali I. Simon, Indiana University, Bloomington, Indiana
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Tay Wee Teck J, Butner JL, Baldacchino A. Understanding the use of telemedicine across different opioid use disorder treatment models: A scoping review. J Telemed Telecare 2023:1357633X231195607. [PMID: 37661829 DOI: 10.1177/1357633x231195607] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/05/2023]
Abstract
INTRODUCTION The COVID-19 pandemic has instigated the development of telemedicine-mediated provision of medications for opioid use disorder such as buprenorphine and methadone, referred to as TMOUD in this study. As services start to return to pre-pandemic norms, there is a debate around the role of TMOUD as addition to or replacement of the conventional cascade of care for people with opioid use disorder (PWOUD). This scoping review is designed to characterize existing TMOUD services and provide insights to enable a more nuanced discussion on the role of telemedicine in the care of PWOUD. METHODS The literature search was conducted in OVID Medline, CINAHL, and PsycINFO, from inception up to and including April 2023, using the Joanna Briggs Institute methodology for scoping reviews. The review considered any study design that detailed sufficient descriptive information on a given TMOUD service. A data extraction form was developed to collect and categorize a range of descriptive characteristics of each discrete TMOUD model identified from the obtained articles. RESULTS A total of 45 articles met the inclusion criteria, and from this, 40 discrete TMOUD services were identified. In total, 33 services were US-based, three from Canada, and one each from India, Ireland, the UK, and Norway. Through a detailed analysis of TMOUD service characteristics, four models of care were identified. These were TMOUD to facilitate inclusion health, to facilitate transitions in care, to meet complex healthcare needs, and to maintain opioid use disorder (OUD) service resilience. CONCLUSIONS Characterizing TMOUD according to its functional benefits to PWOUD and OUD services will help support evidence-based policy and practice. Additionally, particular attention is given to how digital exclusion of PWOUD can be mitigated against.
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Affiliation(s)
- Joseph Tay Wee Teck
- DigitAS Project, Population and Behavioural Science, School of Medicine, University of St Andrews, St Andrews, UK
- Forward Leeds and Humankind Charity, Durham, UK
| | - Jenna L Butner
- Department of Medicine, Yale University School of Medicine, New Haven, CT, USA
| | - Alex Baldacchino
- DigitAS Project, Population and Behavioural Science, School of Medicine, University of St Andrews, St Andrews, UK
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Pytell JD, Fojo AT, Keruly JC, Snow LN, Falade-Nwulia O, Moore RD, Chander G, Lesko CR. Measuring time in buprenorphine treatment stages among people with HIV and opioid use disorder by retention definition and its association with cocaine and hazardous alcohol use. Addict Sci Clin Pract 2023; 18:51. [PMID: 37660116 PMCID: PMC10474763 DOI: 10.1186/s13722-023-00408-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2023] [Accepted: 08/23/2023] [Indexed: 09/04/2023] Open
Abstract
BACKGROUND We use a novel, longitudinal approach to describe average time spent in opioid use disorder (OUD) cascade of care stages for people with HIV (PWH) and with OUD, incorporating four definitions of treatment retention. Using this approach, we describe the impact of cocaine or hazardous alcohol use on time spent retained on buprenorphine. METHODS We followed PWH with OUD enrolled in the Johns Hopkins HIV Clinical Cohort from their first buprenorphine treatment episode between 2013 and 2020. We estimated 4-year restricted mean time spent on buprenorphine below buprenorphine retention threshold, on buprenorphine above retention threshold, off buprenorphine and in HIV care, loss to follow-up, and death. Retention definitions were based on retention threshold (180 vs 90 days) and allowable treatment gap (7 vs 30 days). Differences in 2-year restricted mean time spent retained on buprenorphine were estimated for patients with and without cocaine or hazardous alcohol use. RESULTS The study sample (N = 179) was 63% male, 82% non-Hispanic Black, and mean age was 53 (SD 8) years. Patients spent on average 13.9 months (95% CI 11.4, 16.4) on buprenorphine over 4 years. There were differences in time spent retained on buprenorphine based on the retention definition, ranging from 6.5 months (95% CI 4.6, 8.5) to 9.6 months (95% CI 7.4, 11.8). Patients with cocaine use spent fewer months retained on buprenorphine. There were no differences for patients with hazardous alcohol use. CONCLUSIONS PWH with OUD spend relatively little time receiving buprenorphine in their HIV primary care clinic. Concurrent cocaine use at buprenorphine initiation negatively impact time on buprenorphine.
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Affiliation(s)
- Jarratt D Pytell
- Division of General Internal Medicine, Department of Medicine, University of Colorado School of Medicine, Mail Stop B180, 12631 E. 17Th Ave, Aurora, CO, 80045, USA.
| | - Anthony T Fojo
- Division of General Internal Medicine, Johns Hopkins School of Medicine, Baltimore, MD, USA
| | - Jeanne C Keruly
- Division of Infectious Diseases, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - LaQuita N Snow
- Division of Infectious Diseases, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Oluwaseun Falade-Nwulia
- Division of Infectious Diseases, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Richard D Moore
- Division of Infectious Diseases, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Geetanjali Chander
- Division of General Internal Medicine, University of Washington School of Medicine, Seattle, WA, USA
| | - Catherine R Lesko
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
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Magee T, Peters C, Jacobsen SM, Nees D, Dunford B, Ford AI, Vassar M. Inequities in the treatment of opioid use disorder: A scoping review. JOURNAL OF SUBSTANCE USE AND ADDICTION TREATMENT 2023; 152:209082. [PMID: 37271346 DOI: 10.1016/j.josat.2023.209082] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/11/2022] [Revised: 05/05/2023] [Accepted: 05/23/2023] [Indexed: 06/06/2023]
Abstract
BACKGROUND Given the lack of access to evidenced-based OUD treatment and the corresponding overdose crisis, researchers must evaluate and report health care inequities involving the treatment of OUD. Additionally, clinicians should be aware of these inequities in the treatment of patients. METHODS We carried out a scoping review of the literature regarding health inequities in treatment for OUD in July 2022. The study team retrieved articles published between 2016 and 2021 from MEDLINE and Ovid Embase. After authors received training, screening and data extraction were performed in masked, duplicate fashion. The team screened a total of 3673 titles and abstracts, followed by 172 articles for full-text review. The inequities that we examined were race/ethnicity, sex or gender, income, under-resourced/rural, occupational status, education level, and LGBTQ+. We used Stata 17.0 (StataCorp, LLC, College Station, TX) to summarize data and statistics of the studies within our sample. RESULTS A total of 44 studies evaluating inequities in OUD treatment met inclusion criteria. The most common inequity that studies examined was race/ethnicity (34/44 [77.27 %] studies), followed by under-resourced/rural (19/44 [43.18 %] studies), and sex or gender (18/44 [40.91 %] studies). LGBTQ+ (0/44 [0.0 %] studies) was not reported in the included studies. Our results indicate that many historically marginalized populations experience inequities related to access and outcomes in OUD treatment. The included studies in our scoping review occasionally demonstrated inconsistent findings. CONCLUSIONS Gaps exist within the literature on health inequities in treatment for OUD. The most examined inequities were race/ethnicity, under-resourced/rural and sex or gender, while studies did not examine LGBTQ+ status. Future research should aim to advance and supplement literature investigating health inequities in OUD treatment to ensure inclusive, patient-centered care.
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Affiliation(s)
- Trevor Magee
- Office of Medical Student Research, Oklahoma State University Center for Health Sciences, Tulsa, OK, United States.
| | - Caleb Peters
- Office of Medical Student Research, Oklahoma State University Center for Health Sciences, Tulsa, OK, United States
| | - Samuel M Jacobsen
- Office of Medical Student Research, Oklahoma State University Center for Health Sciences, Tulsa, OK, United States
| | - Danya Nees
- Office of Medical Student Research, Oklahoma State University Center for Health Sciences, Tulsa, OK, United States
| | - Bryan Dunford
- Office of Medical Student Research, Oklahoma State University Center for Health Sciences, Tulsa, OK, United States
| | - Alicia Ito Ford
- Office of Medical Student Research, Oklahoma State University Center for Health Sciences, Tulsa, OK, United States; Department of Psychiatry and Behavioral Sciences, Oklahoma State University Center for Health Sciences, Tulsa, OK, United States
| | - Matt Vassar
- Office of Medical Student Research, Oklahoma State University Center for Health Sciences, Tulsa, OK, United States; Department of Psychiatry and Behavioral Sciences, Oklahoma State University Center for Health Sciences, Tulsa, OK, United States
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Panwala V, Joudrey P, Kowalski M, Bach P, Amram O. Changes to methadone maintenance therapy in the United States, Canada, and Australia during the COVID-19 pandemic: A narrative review. JOURNAL OF SUBSTANCE USE AND ADDICTION TREATMENT 2023; 152:209086. [PMID: 37270103 PMCID: PMC10232933 DOI: 10.1016/j.josat.2023.209086] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/31/2022] [Revised: 01/08/2023] [Accepted: 05/23/2023] [Indexed: 06/05/2023]
Abstract
INTRODUCTION In response to the COVID-19 pandemic, countries across the world made adaptations to policies regulating the provision of methadone maintenance therapy (MMT) to facilitate social distancing for health care providers and people in treatment. Many countries issued guidance about increasing take-home methadone doses after the onset of the pandemic. METHODS In this review, we compare the regulation of MMT prior to the pandemic in the United States, Canada, and Australia, analyze changes to treatment policy in the context of COVID-19, and review emerging data on treatment outcomes. RESULTS The United States only permits the prescription and disbursement of methadone for MMT treatment at federally designated opioid treatment programs (OTPs). Conversely, Australia and Canada operate on a community pharmacy-based distribution model, where patients can access methadone doses either in participating pharmacies or in some methadone clinics. CONCLUSION Given reports of similar treatment outcomes and increased patient satisfaction since the pandemic-related policy changes, some changes including increased receipt of take-home doses should be considered for incorporation into post-pandemic treatment policies and regulations.
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Affiliation(s)
- Victoria Panwala
- Elson S. Floyd College of Medicine, Washington State University, Spokane, WA, USA.
| | - Paul Joudrey
- Center for Research on Health Care, University of Pittsburgh, PA, USA
| | - Melanie Kowalski
- Mental Health and Wellbeing Division, Department of Health, Victoria, Australia
| | - Paxton Bach
- British Columbia Centre on Substance Use, University of British Columbia, Vancouver, BC, Canada
| | - Ofer Amram
- Department of Nutrition and Exercise Physiology, Elson S. Floyd College of Medicine, Washington State University, Spokane, WA, USA; Paul G. Allen School for Global Animal Health, Washington State University, Pullman, WA, USA
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Bulgin D, Patrick SW, McElroy T, McNeer E, Dupont WD, Murry VM. Patient and Community Factors Affecting Treatment Access for Opioid Use Disorder. Obstet Gynecol 2023; 142:339-349. [PMID: 37473410 PMCID: PMC10372722 DOI: 10.1097/aog.0000000000005227] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2022] [Accepted: 03/30/2023] [Indexed: 07/22/2023]
Abstract
OBJECTIVE To examine whether access to treatment for women with opioid use disorder (OUD) varied by race and ethnicity, community characteristics, and pregnancy status. METHODS We conducted a secondary data analysis of a simulated patient caller study of buprenorphine-waivered prescribers and opioid-treatment programs in 10 U.S. states. We conducted multivariable analyses, accounting for potential confounders, to evaluate factors associated with likelihood of successfully securing an appointment. Descriptive statistics and significance testing examined 1) caller characteristics and call outcome by assigned race and ethnicity and clinic type (combined, opioid-treatment programs, and buprenorphine-waivered prescribers) and 2) clinic and community characteristics and call outcome by community race and ethnicity distribution (majority White vs majority Black, Hispanic, Asian, American Indian, Alaska Native, Native Hawaiian, or Pacific Islander) and clinic type. A multiple logistic regression model was fitted to assess the likelihood of obtaining an appointment by callers' race and ethnicity and pregnancy status with the exposure of interest being majority Black, Hispanic, Asian, American Indian, Alaska Native, Native Hawaiian, or Pacific Islander community distribution. RESULTS In total, 3,547 calls reached clinics to schedule appointments. Buprenorphine-waivered prescribers were more likely to be in communities that were more than 50% White (88.9% vs 77.3%, P<.001), and opioid-treatment programs were more likely to be in communities that were less than 50% White (11.1% vs 22.7%, P<.001). Callers were more likely to be granted appointments in majority Black, Hispanic, Asian, American Indian, Alaska Native, Native Hawaiian, or Pacific Islander communities (adjusted odds ratio [aOR] 1.06, 95% CI 1.02-1.10 per 10% Black, Hispanic, Asian, American Indian, Alaska Native, Native Hawaiian, or Pacific Islander community population) and at opioid-treatment programs (aOR 4.94, 95% CI 3.52-6.92) and if they were not pregnant (aOR 1.79, 95% CI 1.53-2.09). CONCLUSION Clinic distribution and likelihood of acceptance for treatment varied by community race and ethnicity distribution. Access to treatment for OUD remains challenging for pregnant people and in many historically marginalized U.S. communities.
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Affiliation(s)
| | - Stephen W. Patrick
- Departments of Pediatrics and Health Policy, Vanderbilt University Medical Center, Nashville, TN
- Vanderbilt Center for Child Health Policy, Vanderbilt University Medical Center, Nashville, TN
- Mildred Stahlman Divison of Neonatology, Vanderbilt University Medical Center, Nashville, TN
| | - Tamarra McElroy
- Departments of Pediatrics and Health Policy, Vanderbilt University Medical Center, Nashville, TN
- Vanderbilt Center for Child Health Policy, Vanderbilt University Medical Center, Nashville, TN
| | - Elizabeth McNeer
- Vanderbilt Center for Child Health Policy, Vanderbilt University Medical Center, Nashville, TN
- Department of Biostatistics, Vanderbilt University Medical Center, Nashville, TN
| | - William D. Dupont
- Vanderbilt Center for Child Health Policy, Vanderbilt University Medical Center, Nashville, TN
- Department of Biostatistics, Vanderbilt University Medical Center, Nashville, TN
| | - Velma McBride Murry
- Departments of Pediatrics and Health Policy, Vanderbilt University Medical Center, Nashville, TN
- Vanderbilt Center for Child Health Policy, Vanderbilt University Medical Center, Nashville, TN
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Miller-Rosales C, Morden NE, Brunette MF, Busch SH, Torous JB, Meara ER. Provision of Digital Health Technologies for Opioid Use Disorder Treatment by US Health Care Organizations. JAMA Netw Open 2023; 6:e2323741. [PMID: 37459098 PMCID: PMC10352858 DOI: 10.1001/jamanetworkopen.2023.23741] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/07/2023] [Accepted: 05/31/2023] [Indexed: 07/20/2023] Open
Abstract
Importance Digital health technologies may expand organizational capacity to treat opioid use disorder (OUD). However, it remains unclear whether these technologies serve as substitutes for or complements to traditional substance use disorder (SUD) treatment resources in health care organizations. Objective To characterize the use of patient-facing digital health technologies for OUD by US organizations with accountable care organization (ACO) contracts. Design, Setting, and Participants This cross-sectional study analyzed responses to the 2022 National Survey of Accountable Care Organizations (NSACO), collected between October 1, 2021, and June 30, 2022, from US organizations with Medicare and Medicaid ACO contracts. Data analysis was performed between December 15, 2022, and January 6, 2023. Exposures Treatment resources for SUD (eg, an addiction medicine specialist, sufficient staff to treat SUD, medications for OUD, a specialty SUD treatment facility, a registry to identify patients with OUD, or a registry to track mental health for patients with OUD) and organizational characteristics (eg, organization type, Medicaid ACO contract). Main Outcomes and Measures The main outcomes included survey-reported use of 3 categories of digital health technologies for OUD: remote mental health therapy and tracking, virtual peer recovery support programs, and digital recovery support for adjuvant cognitive behavior therapy (CBT). Statistical analysis was conducted using descriptive statistics and multivariable logistic regression models. Results Overall, 276 of 505 organizations responded to the NSACO (54.7% response rate), with a total of 304 respondents. Of these, 161 (53.1%) were from a hospital or health system, 74 (24.2%) were from a physician- or medical group-led organization, and 23 (7.8%) were from a safety-net organization. One-third of respondents (101 [33.5%]) reported that their organization used at least 1 of the 3 digital health technology categories, including remote mental health therapy and tracking (80 [26.5%]), virtual peer recovery support programs (46 [15.1%]), and digital recovery support for adjuvant CBT (27 [9.0%]). In an adjusted analysis, organizations with an addiction medicine specialist (average marginal effect [SE], 32.3 [4.7] percentage points; P < .001) or a registry to track mental health (average marginal effect [SE], 27.2 [3.8] percentage points; P < .001) were more likely to use at least 1 category of technology compared with otherwise similar organizations lacking these capabilities. Conclusions and Relevance In this cross-sectional study of 276 organizations with ACO contracts, organizations used patient-facing digital health technologies for OUD as complements to available SUD treatment capabilities rather than as substitutes for unavailable resources. Future studies should examine implementation facilitators to realize the potential of emerging technologies to support organizations facing health care practitioner shortages and other barriers to OUD treatment delivery.
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Affiliation(s)
| | - Nancy E. Morden
- Dartmouth Institute for Health Policy and Clinical Practice, Geisel School of Medicine, Lebanon, New Hampshire
- UnitedHealthcare, Minnetonka, Minnesota
| | - Mary F. Brunette
- Dartmouth Institute for Health Policy and Clinical Practice, Geisel School of Medicine, Lebanon, New Hampshire
- Department of Psychiatry, Geisel School of Medicine, Dartmouth College, Hanover, New Hampshire
- Bureau of Mental Health Services, New Hampshire Department of Health and Human Services, Concord
| | - Susan H. Busch
- Department of Health Policy and Management, Yale School of Public Health, New Haven, Connecticut
| | - John B. Torous
- Department of Psychiatry, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts
| | - Ellen R. Meara
- Department of Health Policy and Management, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
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Victor G, Ray B, Del Pozo B, Jaffe K, King A, Huynh P. Buprenorphine and opioid analgesics: Dispensation and discontinuity among accidental overdose fatalities in the Indianapolis metropolitan area, 2016-2021. JOURNAL OF SUBSTANCE USE AND ADDICTION TREATMENT 2023; 150:209053. [PMID: 37105266 PMCID: PMC10330395 DOI: 10.1016/j.josat.2023.209053] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/28/2022] [Revised: 11/28/2022] [Accepted: 04/15/2023] [Indexed: 04/29/2023]
Abstract
BACKGROUND This study describes overall trends and sociodemographic disparities in buprenorphine and opioid analgesic uptake and prescribing patterns prior to fatal overdose events. METHODS We examined toxicology data from all accidental overdose deaths from 2016 to 2021 (N = 2682) in a large metropolitan area. These data were linked at the individual-level with a prescription drug monitoring program (PDMP). RESULTS Fewer than half of all deaths had any kind of PDMP record (39.9 %, n = 1070). Among those with a buprenorphine prescription, 10.6 % (n = 35) of decedents had a buprenorphine dispensation within 7 days of their death, while the majority (64.7 %, n = 214) were dispensed buprenorphine more than 30 days prior to death. Evidence existed of racial disparities among those with any buprenorphine uptake, whereby Black individuals (7.3 %, n = 24) had significantly fewer any dispensations compared to White individuals (92.7 %, n = 307). Among those with an opioid analgesic prescription, about 12.2 % (n = 90) were dispensed within 7 days of death, with the majority (68.5 %, n = 506) occurring more than 30 days prior to death. Like buprenorphine dispensations, Black individuals were prescribed a significantly smaller proportion of opioid analgesics (21.9 %, n = 162) versus White individuals (77.7 %, n = 574). Buprenorphine was detected in 78.5 % of deaths where fentanyl was present in the toxicology record, significantly greater when compared to opioid analgesics (57.5 %). CONCLUSION Consistent with prior research, our findings suggest prescription opioid analgesics may protect against fatal overdoses. Access to buprenorphine treatment did not keep pace with the rising lethality of the overdose crisis, and in recent years, a smaller percentage of the people at risk of fatal overdose availed themselves of MOUD preceding their death.
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Affiliation(s)
- Grant Victor
- School of Social Work, Rutgers, The State University of New Jersey, 120 Albany St, New Brunswick, NJ 08901, United States of America.
| | - Bradley Ray
- RTI International, Division for Applied Justice Research, 3040 Cornwallis Road, Research Triangle Park, NC 27709, United States of America
| | - Brandon Del Pozo
- Miriam Hospital/Warren Alpert Medical School of Brown University, Department of Health Policy and Management, Johns Hopkins Bloomberg School of Public Health, United States of America
| | - Kaitlyn Jaffe
- Center for Bioethics and Social Sciences in Medicine, University of Michigan, 2800 Plymouth Road Bldg. 14, G016, Ann Arbor, MI 48109, United States of America
| | - Andy King
- School of Emergency Medicine, Wayne State University, 4201 St. Antoine, University Health Center - 6G, Detroit, MI 48201, United States of America
| | - Philip Huynh
- Center for Behavioral Health and Justice, Wayne State University, Detroit, MI 48208, United States of America
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Barnett ML, Meara E, Lewinson T, Hardy B, Chyn D, Onsando M, Huskamp HA, Mehrotra A, Morden NE. Racial Inequality in Receipt of Medications for Opioid Use Disorder. N Engl J Med 2023; 388:1779-1789. [PMID: 37163624 PMCID: PMC10243223 DOI: 10.1056/nejmsa2212412] [Citation(s) in RCA: 53] [Impact Index Per Article: 53.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 05/12/2023]
Abstract
BACKGROUND Since 2010, Black persons in the United States have had a greater increase in opioid overdose-related mortality than other groups, but national-level evidence characterizing racial and ethnic disparities in the use of medications for opioid use disorder (OUD) is limited. METHODS We used Medicare claims data from the 2016-2019 period for a random 40% sample of fee-for-service beneficiaries who were Black, Hispanic, or White; were eligible for Medicare owing to disability; and had an index event related to OUD (nonfatal overdose treated in an emergency department or inpatient setting, hospitalization with injection drug use-related infection, or inpatient or residential rehabilitation or detoxification care). We measured the receipt of medications to treat OUD (buprenorphine, naltrexone, and naloxone), the receipt of high-risk medications (opioid analgesics and benzodiazepines), and health care utilization, all in the 180 days after the index event. We estimated differences in outcomes according to race and ethnic group with adjustment for beneficiary age, sex, index event, count of chronic coexisting conditions, and state of residence. RESULTS We identified 25,904 OUD-related index events among 23,370 beneficiaries, with 3937 events (15.2%) occurring among Black patients, 2105 (8.1%) among Hispanic patients, and 19,862 (76.7%) among White patients. In the 180 days after the index event, patients received buprenorphine after 12.7% of events among Black patients, after 18.7% of those among Hispanic patients, and after 23.3% of those among White patients; patients received naloxone after 14.4%, 20.7%, and 22.9%, respectively; and patients received benzodiazepines after 23.4%, 29.6%, and 37.1%, respectively. Racial differences in the receipt of medications to treat OUD did not change appreciably from 2016 to 2019 (buprenorphine receipt: after 9.1% of index events among Black patients vs. 21.6% of those among White patients in 2016, and after 14.1% vs. 25.5% in 2019). In all study groups, patients had multiple ambulatory visits in the 180 days after the index event (mean number of visits, 6.6 after events among Black patients, 6.7 after events among Hispanic patients, and 7.6 after events among White patients). CONCLUSIONS Racial and ethnic differences in the receipt of medications to treat OUD after an index event related to this disorder among patients with disability were substantial and did not change over time. The high incidence of ambulatory visits in all groups showed that disparities persisted despite frequent health care contact. (Funded by the National Institute on Drug Abuse and the National Institute on Aging.).
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Affiliation(s)
- Michael L Barnett
- From the Department of Health Policy and Management, Harvard T.H. Chan School of Public Health (M.L.B., E.M.), the Division of General Internal Medicine and Primary Care, Department of Medicine, Brigham and Women's Hospital (M.L.B.), the Department of Health Care Policy, Harvard Medical School (H.A.H., A.M.), and the Division of General Medicine, Beth Israel Deaconess Medical Center (A.M.), Boston, and the National Bureau of Economic Research, Cambridge (E.M.) - all in Massachusetts; the Dartmouth Institute for Health Policy and Clinical Practice, Lebanon, NH (T.L., B.H., D.C., M.O., N.E.M.); and UnitedHealthcare, Minnetonka, MN (N.E.M.)
| | - Ellen Meara
- From the Department of Health Policy and Management, Harvard T.H. Chan School of Public Health (M.L.B., E.M.), the Division of General Internal Medicine and Primary Care, Department of Medicine, Brigham and Women's Hospital (M.L.B.), the Department of Health Care Policy, Harvard Medical School (H.A.H., A.M.), and the Division of General Medicine, Beth Israel Deaconess Medical Center (A.M.), Boston, and the National Bureau of Economic Research, Cambridge (E.M.) - all in Massachusetts; the Dartmouth Institute for Health Policy and Clinical Practice, Lebanon, NH (T.L., B.H., D.C., M.O., N.E.M.); and UnitedHealthcare, Minnetonka, MN (N.E.M.)
| | - Terri Lewinson
- From the Department of Health Policy and Management, Harvard T.H. Chan School of Public Health (M.L.B., E.M.), the Division of General Internal Medicine and Primary Care, Department of Medicine, Brigham and Women's Hospital (M.L.B.), the Department of Health Care Policy, Harvard Medical School (H.A.H., A.M.), and the Division of General Medicine, Beth Israel Deaconess Medical Center (A.M.), Boston, and the National Bureau of Economic Research, Cambridge (E.M.) - all in Massachusetts; the Dartmouth Institute for Health Policy and Clinical Practice, Lebanon, NH (T.L., B.H., D.C., M.O., N.E.M.); and UnitedHealthcare, Minnetonka, MN (N.E.M.)
| | - Brianna Hardy
- From the Department of Health Policy and Management, Harvard T.H. Chan School of Public Health (M.L.B., E.M.), the Division of General Internal Medicine and Primary Care, Department of Medicine, Brigham and Women's Hospital (M.L.B.), the Department of Health Care Policy, Harvard Medical School (H.A.H., A.M.), and the Division of General Medicine, Beth Israel Deaconess Medical Center (A.M.), Boston, and the National Bureau of Economic Research, Cambridge (E.M.) - all in Massachusetts; the Dartmouth Institute for Health Policy and Clinical Practice, Lebanon, NH (T.L., B.H., D.C., M.O., N.E.M.); and UnitedHealthcare, Minnetonka, MN (N.E.M.)
| | - Deanna Chyn
- From the Department of Health Policy and Management, Harvard T.H. Chan School of Public Health (M.L.B., E.M.), the Division of General Internal Medicine and Primary Care, Department of Medicine, Brigham and Women's Hospital (M.L.B.), the Department of Health Care Policy, Harvard Medical School (H.A.H., A.M.), and the Division of General Medicine, Beth Israel Deaconess Medical Center (A.M.), Boston, and the National Bureau of Economic Research, Cambridge (E.M.) - all in Massachusetts; the Dartmouth Institute for Health Policy and Clinical Practice, Lebanon, NH (T.L., B.H., D.C., M.O., N.E.M.); and UnitedHealthcare, Minnetonka, MN (N.E.M.)
| | - Moraa Onsando
- From the Department of Health Policy and Management, Harvard T.H. Chan School of Public Health (M.L.B., E.M.), the Division of General Internal Medicine and Primary Care, Department of Medicine, Brigham and Women's Hospital (M.L.B.), the Department of Health Care Policy, Harvard Medical School (H.A.H., A.M.), and the Division of General Medicine, Beth Israel Deaconess Medical Center (A.M.), Boston, and the National Bureau of Economic Research, Cambridge (E.M.) - all in Massachusetts; the Dartmouth Institute for Health Policy and Clinical Practice, Lebanon, NH (T.L., B.H., D.C., M.O., N.E.M.); and UnitedHealthcare, Minnetonka, MN (N.E.M.)
| | - Haiden A Huskamp
- From the Department of Health Policy and Management, Harvard T.H. Chan School of Public Health (M.L.B., E.M.), the Division of General Internal Medicine and Primary Care, Department of Medicine, Brigham and Women's Hospital (M.L.B.), the Department of Health Care Policy, Harvard Medical School (H.A.H., A.M.), and the Division of General Medicine, Beth Israel Deaconess Medical Center (A.M.), Boston, and the National Bureau of Economic Research, Cambridge (E.M.) - all in Massachusetts; the Dartmouth Institute for Health Policy and Clinical Practice, Lebanon, NH (T.L., B.H., D.C., M.O., N.E.M.); and UnitedHealthcare, Minnetonka, MN (N.E.M.)
| | - Ateev Mehrotra
- From the Department of Health Policy and Management, Harvard T.H. Chan School of Public Health (M.L.B., E.M.), the Division of General Internal Medicine and Primary Care, Department of Medicine, Brigham and Women's Hospital (M.L.B.), the Department of Health Care Policy, Harvard Medical School (H.A.H., A.M.), and the Division of General Medicine, Beth Israel Deaconess Medical Center (A.M.), Boston, and the National Bureau of Economic Research, Cambridge (E.M.) - all in Massachusetts; the Dartmouth Institute for Health Policy and Clinical Practice, Lebanon, NH (T.L., B.H., D.C., M.O., N.E.M.); and UnitedHealthcare, Minnetonka, MN (N.E.M.)
| | - Nancy E Morden
- From the Department of Health Policy and Management, Harvard T.H. Chan School of Public Health (M.L.B., E.M.), the Division of General Internal Medicine and Primary Care, Department of Medicine, Brigham and Women's Hospital (M.L.B.), the Department of Health Care Policy, Harvard Medical School (H.A.H., A.M.), and the Division of General Medicine, Beth Israel Deaconess Medical Center (A.M.), Boston, and the National Bureau of Economic Research, Cambridge (E.M.) - all in Massachusetts; the Dartmouth Institute for Health Policy and Clinical Practice, Lebanon, NH (T.L., B.H., D.C., M.O., N.E.M.); and UnitedHealthcare, Minnetonka, MN (N.E.M.)
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Romero R, Friedman JR, Goodman-Meza D, Shover CL. US drug overdose mortality rose faster among hispanics than non-hispanics from 2010 to 2021. Drug Alcohol Depend 2023; 246:109859. [PMID: 37031488 PMCID: PMC11195918 DOI: 10.1016/j.drugalcdep.2023.109859] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/20/2022] [Revised: 03/20/2023] [Accepted: 03/26/2023] [Indexed: 04/11/2023]
Abstract
BACKGROUND Historically, overdose mortality rates among Hispanics have been lower than non-Hispanics. The purpose of this analysis was to characterize the U.S. overdose crisis among Hispanics compared to non-Hispanics. METHODS We used the Centers for Disease Control and Prevention Wide-Ranging Online Data for Epidemiological Research (WONDER) platform to obtain drug overdose mortality rates per 100,000 population between 2010 and 2021 for Hispanics and non-Hispanics. We examined the relative percent change and specific drug involvement (2010-2021) and state-level disparities (2010-2020) among Hispanics versus non-Hispanics. We calculated rate ratios by state and annual percent change in total and for each specific drug. Statistical analyses were performed using R software version 4.0.3 (R Project for Statistical Computing). RESULTS Nationally, from 2010 to 2021, Hispanic overdose rates rose from 5.6 to 21.7 per 100,000, an increase of 287.5 % compared to 13.5-35.1 per 100,000, an increase of 160 % among non-Hispanics. The average annual percent change was 12 % for Hispanics and 9 % for non-Hispanics. The three most common drug classes involved in overdose deaths among both groups included: Fentanyls and synthetic opioids; cocaine; and prescription opioids. Hispanic overdose rates were higher than non-Hispanic rates in New Mexico, Colorado, Massachusetts, and Pennsylvania in 2020, versus only Michigan in 2010. CONCLUSIONS We observed disparities in overdose mortality growth among Hispanics compared to non-Hispanics from 2010 to 2021. These disparities highlight the urgency to develop community-centered solutions that take into consideration the social and structural inequalities that exacerbate the effects of the opioid overdose crisis on Hispanic communities.
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Affiliation(s)
- Ruby Romero
- Division of General Internal Medicine and Health Services Research, University of California, Los Angeles, CA, USA
| | | | - David Goodman-Meza
- Division of Infectious Diseases, University of California, Los Angeles, CA, USA
| | - Chelsea L Shover
- Division of General Internal Medicine and Health Services Research, University of California, Los Angeles, CA, USA.
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Pytell JD, Chander G, Thakrar AP, Ogunwole SM, McGinty EE. Does a Survivorship Model of Opioid Use Disorder Improve Public Stigma or Policy Support? A General Population Randomized Experiment. J Gen Intern Med 2023; 38:1638-1646. [PMID: 36394698 PMCID: PMC10212853 DOI: 10.1007/s11606-022-07865-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/14/2022] [Accepted: 10/21/2022] [Indexed: 11/18/2022]
Abstract
BACKGROUND The chronic disease model of opioid use disorder (OUD) is promoted by many public health authorities, yet high levels of stigma persist along with low support for policies that would benefit people with OUD. OBJECTIVE Determine if a survivorship model of OUD, which does not imply a chronic, relapsing disease state, compared to a chronic disease model improves public stigma and support for opioid-related policies. Explore if race or gender moderates any effect. DESIGN Online, vignette-based randomized study. PARTICIPANTS US adults recruited through a market research firm. INTERVENTION Participants viewed one of 8 vignettes depicting a person with OUD in sustained remission. Vignettes varied in terms of the OUD model (survivorship, chronic disease) and vignette individual's race (Black, White) and gender (man, woman). MAIN MEASURES (1) Public stigma measured by desire for social distance, perceptions of dangerousness, and overall feelings toward the vignette individual. (2) Support for 7 opioid-related policies. Overall feelings were measured on a feelings thermometer (0/cold-100/warm). Stigma and policy support responses were measured on Likert scales dichotomized to indicate a positive (4, 5) or negative/indifferent (1-3) response. KEY RESULTS Of 1440 potential participants, 1172 (81%) were included in the analysis. Exposure to the survivorship model resulted in warmer feelings (mean 72, SD 23) compared to the chronic disease (mean 67, SD 23; difference 4, 95%CI 1-6). There was no effect modification from the vignette individual's race or gender. There was no significant difference between OUD models on other measures of public stigma or support for policies. CONCLUSIONS The survivorship model of OUD improved overall feelings compared to the chronic disease model, but we did not detect an effect of this model on other domains of public stigma or support for policies. Further refinement and testing of this novel, survivorship model of OUD could improve public opinions.
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Affiliation(s)
- Jarratt D Pytell
- Department of Medicine, Johns Hopkins School of Medicine, Baltimore, MD, USA.
- Department of Medicine, University of Colorado School of Medicine, Mail Stop B180, 12631 E. 17th Ave, Aurora, CO, 80045, USA.
| | - Geetanjali Chander
- Department of Medicine, Johns Hopkins School of Medicine, Baltimore, MD, USA
- Department of Medicine, University of Washington School of Medicine, Seattle, WA, USA
| | - Ashish P Thakrar
- National Clinician Scholars Program at the Corporal Michael J. Crescenz VA Medical Center, University of Pennsylvania, Philadelphia, PA, USA
| | - S Michelle Ogunwole
- Department of Medicine, Johns Hopkins School of Medicine, Baltimore, MD, USA
| | - Emma E McGinty
- Department of Health Policy and Management, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
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Chandler R, Nunes EV, Tan S, Freeman PR, Walley AY, Lofwall M, Oga E, Glasgow L, Brown JL, Fanucchi L, Beers D, Hunt T, Bowers-Sword R, Roeber C, Baker T, Winhusen TJ. Community selected strategies to reduce opioid-related overdose deaths in the HEALing (Helping to End Addiction Long-term SM) communities study. Drug Alcohol Depend 2023; 245:109804. [PMID: 36780768 PMCID: PMC10291332 DOI: 10.1016/j.drugalcdep.2023.109804] [Citation(s) in RCA: 13] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/06/2022] [Revised: 01/30/2023] [Accepted: 02/04/2023] [Indexed: 02/11/2023]
Abstract
The Helping End Addictions Long Term (HEALing) Communities Study (HCS) seeks to significantly reduce overdose deaths in 67 highly impacted communities in Kentucky (KY), Massachusetts (MA), New York (NY), and Ohio (OH) by implementing evidence-based practices (EBPs) to reduce overdose deaths. The Opioid-overdose Reduction Continuum of Care Approach (ORCCA) organizes EBP strategies under three menus: Overdose Education and Naloxone Distribution (OEND), Medication Treatment for Opioid Use Disorder (MOUD), and Safer Prescribing and Dispensing Practices (SPDP). The ORCCA sets requirements for strategy selection but allows flexibility to address community needs. This paper describes and compiles strategy selection and examines two hypotheses: 1) OEND selections will differ significantly between communities with higher versus lower opioid-involved overdose deaths; 2) MOUD selections will differ significantly between urban versus rural settings. METHODS Wave 1 communities (n = 33) provided data on EBP strategy selections. Selections were recorded as a combination of EBP menu, sector (behavioral health, criminal justice, and healthcare), and venue (e.g., jail, drug court, etc.); target medication(s) were recorded for MOUD strategies. Strategy counts and proportions were calculated overall and by site (KY, MA, NY, OH), setting (rural/urban), and opioid-involved overdose deaths (high/low). RESULTS Strategy selection exceeded ORCCA requirements across all 33 communities, with OEND strategies accounting for more (40.8%) than MOUD (35.1%), or SPDP (24.1%) strategies. Site-adjusted differences were not significant for either hypothesis related to OEND or MOUD strategy selection. CONCLUSIONS HCS communities selected strategies from the ORCCA menu well beyond minimum requirements using a flexible approach to address unique needs.
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Affiliation(s)
- Redonna Chandler
- National Institute on Drug Abuse, National Institutes of Health, Bethesda, MD, USA.
| | - Edward V Nunes
- Columbia University Irving Medical Center and New York State Psychiatric Institute, New York, NY, USA
| | - Sylvia Tan
- RTI International, Research Triangle Park, NC, USA
| | - Patricia R Freeman
- Department of Pharmacy Practice and Science, College of Pharmacy, University of Kentucky, Lexington, KY, USA
| | - Alexander Y Walley
- Grayken Center for Addiction, Clinical Addiction Research Education Unit, Boston Medical Center Boston, MA, USA
| | - Michelle Lofwall
- College of Medicine, University of Kentucky Center on Drug and Alcohol Research, Lexington, KY, USA
| | - Emmanuel Oga
- RTI International, Research Triangle Park, NC, USA
| | | | - Jennifer L Brown
- Department of Psychological Sciences, Purdue University, West Lafayette, IN, USA
| | - Laura Fanucchi
- College of Medicine, University of Kentucky Center on Drug and Alcohol Research, Lexington, KY, USA
| | - Donna Beers
- Grayken Center for Addiction, Clinical Addiction Research Education Unit, Boston Medical Center Boston, MA, USA
| | - Timothy Hunt
- Columbia University School of Social Work, 1255 Amsterdam Avenue, New York, NY, USA
| | - Rachel Bowers-Sword
- Grayken Center for Addiction, Clinical Addiction Research Education Unit, Boston Medical Center Boston, MA, USA
| | - Carter Roeber
- Substance Abuse and Mental Health Services Administration, Rockville, MD, USA
| | - Trevor Baker
- Grayken Center for Addiction, Clinical Addiction Research Education Unit, Boston Medical Center Boston, MA, USA
| | - T John Winhusen
- Department of Psychiatry and Behavioral Neuroscience, University of Cincinnati College of Medicine, Cincinnati, OH, USA; Center for Addiction Research, University of Cincinnati College of Medicine, Cincinnati, OH, USA
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Walters SM, Liu W, Lamuda P, Huh J, Brewer R, Johnson O, Bluthenthal RN, Taylor B, Schneider JA. A National Portrait of Public Attitudes toward Opioid Use in the US: A Latent Class Analysis. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2023; 20:4455. [PMID: 36901465 PMCID: PMC10001548 DOI: 10.3390/ijerph20054455] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/10/2022] [Revised: 02/17/2023] [Accepted: 02/25/2023] [Indexed: 05/13/2023]
Abstract
BACKGROUND Opioid overdose rates have steadily been increasing in the United States (US) creating what is considered an overdose death crisis. The US has a mixture of public health and punitive policies aimed to address opioid use and the overdose crisis, yet little is known about public opinion relating to opioid use and policy support. Understanding the intersection of public opinion about opioid use disorder (OUD) and policy can be useful for developing interventions to address policy responses to overdose deaths. METHODS A national sample of cross-sectional data from the AmeriSpeak survey conducted from 27 February 2020 through 2 March 2020 was analyzed. Measures included attitudes toward OUD and policy beliefs. Latent class analysis, a person-centered approach, was used to identify groups of individuals endorsing similar stigma and policy beliefs. We then examined the relationship between the identified groups (i.e., classes) and key behavioral and demographic factors. RESULTS We identified three distinct groups: (1) "High Stigma/High Punitive Policy", (2) "High Stigma/Mixed Public Health and Punitive Policy", and (3) "Low Stigma/High Public Health Policy". People with higher levels of education had reduced odds of being in the "High Stigma/High Punitive Policy" group. CONCLUSION Public health policies are most effective in addressing OUD. We suggest targeting interventions toward the "High Stigma/Mixed Public Health and Punitive Policy" group since this group already displays some support for public health policies. Broader interventions, such as eliminating stigmatizing messaging in the media and redacting punitive policies, could reduce OUD stigma among all groups.
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Affiliation(s)
- Suzan M. Walters
- Department of Epidemiology, School of Global Public Health, New York University, New York, NY 10003, USA
- Center for Drug Use and HIV/HCV Research, New York, NY 10003, USA
| | - Weiwei Liu
- Public Health Department, NORC at the University of Chicago, Chicago, IL 60603, USA
| | - Phoebe Lamuda
- Public Health Department, NORC at the University of Chicago, Chicago, IL 60603, USA
| | - Jimi Huh
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA
| | - Russell Brewer
- Department of Medicine, University of Chicago, Chicago, IL 60637, USA
| | - O’Dell Johnson
- Southern Public Health and Criminal Justice Research Center, University of Arkansas for Medical Sciences, Little Rock, AR 72205, USA
| | - Ricky N. Bluthenthal
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA
| | - Bruce Taylor
- Public Health Department, NORC at the University of Chicago, Chicago, IL 60603, USA
| | - John A. Schneider
- Public Health Department, NORC at the University of Chicago, Chicago, IL 60603, USA
- Department of Medicine, University of Chicago, Chicago, IL 60637, USA
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Heidbreder C, Fudala PJ, Greenwald MK. History of the discovery, development, and FDA-approval of buprenorphine medications for the treatment of opioid use disorder. DRUG AND ALCOHOL DEPENDENCE REPORTS 2023; 6:100133. [PMID: 36994370 PMCID: PMC10040330 DOI: 10.1016/j.dadr.2023.100133] [Citation(s) in RCA: 15] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/11/2022] [Revised: 01/06/2023] [Accepted: 01/09/2023] [Indexed: 01/12/2023]
Abstract
Buprenorphine-based medications were first approved by the United States Food and Drug Administration in 2002 for the treatment of opioid dependence, or opioid use disorder (OUD) as the condition is presently known. This regulatory milestone was the outcome of 36 years of research and development, which also led to the development and approval of several other new buprenorphine-based medications. In this short review, we first describe the discovery and early development stages of buprenorphine. Second, we review key steps that led to the development of buprenorphine as a drug product. Third, we explain the regulatory approval of several buprenorphine-based medications for the treatment of OUD. We also discuss these developments in the context of the evolution of regulations and policies that have progressively improved OUD treatment availability and efficacy, although challenges remain in removing system-level, provider-level, and local-level barriers to quality treatment, to integrating OUD treatment into routine care and other settings, to reducing disparities in access to treatment, and to optimizing person-centered outcomes.
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Affiliation(s)
| | - Paul J. Fudala
- Indivior Plc, North Chesterfield, VA, United States of America
| | - Mark K. Greenwald
- Department of Psychiatry and Behavioral Neurosciences, Wayne State University School of Medicine, Detroit, Michigan, United States of America
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Englander H, Gregg J, Levander XA. Envisioning Minimally Disruptive Opioid Use Disorder Care. J Gen Intern Med 2023; 38:799-803. [PMID: 36401107 PMCID: PMC9676870 DOI: 10.1007/s11606-022-07939-x] [Citation(s) in RCA: 15] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/10/2022] [Accepted: 11/04/2022] [Indexed: 11/21/2022]
Abstract
Most people who need and want treatment for opioid addiction cannot access it. Among those who do get treatment, only a fraction receive evidence-based, life-saving medications for opioid use disorder (MOUD). MOUD access is not simply a matter of needing more clinicians or expanding existing treatment capacity. Instead, many facets of our health systems and policies create unwarranted, inflexible, and punitive practices that create life-threatening barriers to care. In the USA, opioid use disorder care is maximally disruptive. Minimally disruptive medicine (MDM) is a framework that focuses on achieving patient goals while imposing the smallest possible burden on patients' lives. Using MDM framing, we highlight how current medical practices and policies worsen the burden of treatment and illness, compound life demands, and strain resources. We then offer suggestions for programmatic and policy changes that would reduce disruption to the lives of those seeking care, improve health care quality and delivery, begin to address disparities and inequities, and save lives.
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Affiliation(s)
- Honora Englander
- Section of Addiction Medicine in Division of General Internal Medicine & Geriatrics, Department of Medicine, Oregon Health & Science University, Portland, OR, USA. .,Division of Hospital Medicine, Department of Medicine, Oregon Health & Science University, Portland, OR, USA.
| | | | - Ximena A Levander
- Section of Addiction Medicine in Division of General Internal Medicine & Geriatrics, Department of Medicine, Oregon Health & Science University, Portland, OR, USA
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Bartholomew TS, Andraka-Cristou B, Totaram RK, Harris S, Doblecki-Lewis S, Ostrer L, Serota DP, Forrest DW, Chueng TA, Suarez E, Tookes HE. "We want everything in a one-stop shop": acceptability and feasibility of PrEP and buprenorphine implementation with mobile syringe services for Black people who inject drugs. Harm Reduct J 2022; 19:133. [PMID: 36463183 PMCID: PMC9719627 DOI: 10.1186/s12954-022-00721-6] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2022] [Accepted: 11/21/2022] [Indexed: 12/04/2022] Open
Abstract
INTRODUCTION A recent surge in HIV outbreaks, driven by the opioid and stimulant use crises, has destabilized our progress toward targets set forth by Ending the HIV Epidemic: A Plan for America for the high-priority community of people who inject drugs (PWID), particularly Black PWID. METHODS In order to ascertain the acceptability and feasibility of using a mobile syringe services program (SSP) for comprehensive HIV prevention via PrEP and medications for opioid use disorder (MOUD), our mixed methods approach included a quantitative assessment and semi-structured qualitative interviews with Black PWID (n = 30) in Miami-Dade County who were actively engaged in mobile syringe services. RESULTS Participants felt that delivery of MOUD and PrEP at a mobile SSP would be both feasible and acceptable, helping to address transportation, cost, and stigma barriers common within traditional healthcare settings. Participants preferred staff who are compassionate and nonjudgmental and have lived experience. CONCLUSIONS A mobile harm reduction setting could be an effective venue for delivering comprehensive HIV prevention services to Black PWID, a community that experiences significant barriers to care via marginalization and racism in a fragmented healthcare system.
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Affiliation(s)
- Tyler S. Bartholomew
- grid.26790.3a0000 0004 1936 8606Division of Health Services Research and Policy, Department of Public Health Sciences, Miller School of Medicine, University of Miami, 1120 NW 14th St., #1020, Miami, FL 33136 USA
| | - Barbara Andraka-Cristou
- grid.170430.10000 0001 2159 2859Department of Health Management and Informatics, University of Central Florida, Orlando, FL USA ,grid.170430.10000 0001 2159 2859Department of Internal Medicine, University of Central Florida, Orlando, FL USA
| | - Rachel K. Totaram
- grid.170430.10000 0001 2159 2859Department of Health Management and Informatics, University of Central Florida, Orlando, FL USA
| | - Shana Harris
- grid.170430.10000 0001 2159 2859Department of Internal Medicine, University of Central Florida, Orlando, FL USA ,grid.170430.10000 0001 2159 2859Department of Anthropology, University of Central Florida, Orlando, FL USA
| | - Susanne Doblecki-Lewis
- grid.26790.3a0000 0004 1936 8606Division of Infectious Diseases, Department of Medicine, University of Miami Miller School of Medicine, Miami, FL USA
| | - Lily Ostrer
- grid.26790.3a0000 0004 1936 8606Division of Infectious Diseases, Department of Medicine, University of Miami Miller School of Medicine, Miami, FL USA
| | - David P. Serota
- grid.26790.3a0000 0004 1936 8606Division of Infectious Diseases, Department of Medicine, University of Miami Miller School of Medicine, Miami, FL USA
| | - David W. Forrest
- grid.26790.3a0000 0004 1936 8606Department of Anthropology, College of Arts and Sciences, University of Miami, Miami, FL USA
| | - Teresa A. Chueng
- grid.26790.3a0000 0004 1936 8606Division of Infectious Diseases, Department of Medicine, University of Miami Miller School of Medicine, Miami, FL USA
| | - Edward Suarez
- grid.26790.3a0000 0004 1936 8606Department of Psychiatry and Behavioral Sciences, University of Miami Miller School of Medicine, Miami, FL USA
| | - Hansel E. Tookes
- grid.26790.3a0000 0004 1936 8606Division of Infectious Diseases, Department of Medicine, University of Miami Miller School of Medicine, Miami, FL USA
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Wakeman SE, Lambert E, Kung S, Brisbon NM, Carroll AD, Hickman TT, Covahey C, Sequist TD, Weiner SG. Trends in buprenorphine treatment disparities during the COVID pandemic in Massachusetts. Subst Abus 2022; 43:1317-1321. [PMID: 35896001 DOI: 10.1080/08897077.2022.2095077] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/16/2022]
Abstract
Background: Racial, sex, and age disparities in buprenorphine treatment have previously been demonstrated. We evaluated trends in buprenorphine treatment disparities before and after the onset of the COVID pandemic in Massachusetts. Methods: This cross-sectional study used data from an integrated health system comparing 12-months before and after the March 2020 Massachusetts COVID state of emergency declaration, excluding March as a washout period. Among patients with a clinical encounter during the study periods with a diagnosis of opioid use disorder or opioid poisoning, we extracted outpatient buprenorphine prescription rates by age, sex, race and ethnicity, and language. Generating univariable and multivariable Poisson regression models, we calculated the probability of receiving buprenorphine. Results: Among 4,530 patients seen in the period before the COVID emergency declaration, 57.9% received buprenorphine. Among 3,653 patients seen in the second time period, 55.1% received buprenorphine. Younger patients (<24) had a lower likelihood of receiving buprenorphine in both time periods (adjusted prevalence ratio (aPR), 0.56; 95% CI, 0.42-0.75 before vs. aPR, 0.76; 95% CI, 0.60-0.96 after). Male patients had a greater likelihood of receiving buprenorphine compared to female patients in both time periods (aPR: 1.05; 95% CI, 1.00-1.11 vs. aPR: 1.09; 95% CI, 1.02-1.16). Racial disparities emerged in the time period following the COVID pandemic, with non-Hispanic Black patients having a lower likelihood of receiving buprenorphine compared to non-Hispanic white patients in the second time period (aPR, 0.85; 95% CI, 0.72-0.99). Conclusions: Following the onset of the COVID pandemic in Massachusetts, ongoing racial, age, and gender disparities were evident in buprenorphine treatment with younger, Black, and female patients less likely to be treated with buprenorphine across an integrated health system.
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Affiliation(s)
- Sarah E Wakeman
- Department of Medicine, Massachusetts General Hospital, Boston, MA, USA.,Harvard Medical School, Boston, MA, USA.,Mass General Brigham, Office of the Chief Medical Officer, Boston, MA, USA
| | - Eugene Lambert
- Department of Medicine, Massachusetts General Hospital, Boston, MA, USA.,Harvard Medical School, Boston, MA, USA
| | - Sunny Kung
- Department of Medicine, Massachusetts General Hospital, Boston, MA, USA.,Harvard Medical School, Boston, MA, USA
| | | | - Aleta D Carroll
- Mass General Brigham, Office of the Chief Medical Officer, Boston, MA, USA
| | - Thu-Trang Hickman
- Mass General Brigham, Office of the Chief Medical Officer, Boston, MA, USA
| | | | - Thomas D Sequist
- Harvard Medical School, Boston, MA, USA.,Mass General Brigham, Office of the Chief Medical Officer, Boston, MA, USA.,Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | - Scott G Weiner
- Harvard Medical School, Boston, MA, USA.,Department of Emergency Medicine, Brigham and Women's Hospital, Boston, MA, USA
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47
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Braciszewski JM, Idu AE, Yarborough BJH, Stumbo SP, Bobb JF, Bradley KA, Rossom RC, Murphy MT, Binswanger IA, Campbell CI, Glass JE, Matson TE, Lapham GT, Loree AM, Barbosa-Leiker C, Hatch MA, Tsui JI, Arnsten JH, Stotts A, Horigian V, Hutcheson R, Bart G, Saxon AJ, Thakral M, Ling Grant D, Pflugeisen CM, Usaga I, Madziwa LT, Silva A, Boudreau DM. Sex Differences in Comorbid Mental and Substance Use Disorders Among Primary Care Patients With Opioid Use Disorder. Psychiatr Serv 2022; 73:1330-1337. [PMID: 35707859 PMCID: PMC9722542 DOI: 10.1176/appi.ps.202100665] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/27/2022]
Abstract
OBJECTIVE The authors sought to characterize the 3-year prevalence of mental disorders and nonnicotine substance use disorders among male and female primary care patients with documented opioid use disorder across large U.S. health systems. METHODS This retrospective study used 2014-2016 data from patients ages ≥16 years in six health systems. Diagnoses were obtained from electronic health records or claims data; opioid use disorder treatment with buprenorphine or injectable extended-release naltrexone was determined through prescription and procedure data. Adjusted prevalence of comorbid conditions among patients with opioid use disorder (with or without treatment), stratified by sex, was estimated by fitting logistic regression models for each condition and applying marginal standardization. RESULTS Females (53.2%, N=7,431) and males (46.8%, N=6,548) had a similar prevalence of opioid use disorder. Comorbid mental disorders among those with opioid use disorder were more prevalent among females (86.4% vs. 74.3%, respectively), whereas comorbid other substance use disorders (excluding nicotine) were more common among males (51.9% vs. 60.9%, respectively). These differences held for those receiving medication treatment for opioid use disorder, with mental disorders being more common among treated females (83% vs. 71%) and other substance use disorders more common among treated males (68% vs. 63%). Among patients with a single mental health condition comorbid with opioid use disorder, females were less likely than males to receive medication treatment for opioid use disorder (15% vs. 20%, respectively). CONCLUSIONS The high rate of comorbid conditions among patients with opioid use disorder indicates a strong need to supply primary care providers with adequate resources for integrated opioid use disorder treatment.
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Affiliation(s)
- Jordan M Braciszewski
- Center for Health Policy and Health Services Research, Henry Ford Health System, Detroit (Braciszewski, Loree); Kaiser Permanente Washington Health Research Institute (KPWHRI), Seattle (Idu, Bobb, Bradley, Glass, Matson, Lapham, Madziwa); Kaiser Permanente Northwest Center for Health Research, Portland, Oregon (Yarborough, Stumbo); HealthPartners Institute and Department of Research, University of Minnesota, Minneapolis (Rossom); MultiCare Institute for Research and Innovation, MultiCare Health System, Tacoma, Washington (Murphy, Pflugeisen, Silva); Kaiser Permanente Colorado Institute for Health Research, Colorado Permanente Medical Group, Department of Health System Science, Bernard J. Tyson Kaiser Permanente School of Medicine, University of Colorado School of Medicine, Aurora (Binswanger); Kaiser Permanente Northern California Division of Research, Oakland (Campbell); Department of Health Systems and Population Health, University of Washington, Seattle (Lapham, Hutcheson); Washington State University Health Sciences Spokane, Spokane (Barbosa-Leiker); Department of Psychiatry and Behavioral Sciences and Addictions, Drug and Alcohol Institute, University of Washington, Seattle (Hatch); Department of Medicine, University of Washington and Harborview Medical Center, Seattle (Tsui); Albert Einstein College of Medicine, Montefiore Medical Center, New York City (Arnsten); Department of Family and Community Medicine, McGovern Medical School, University of Texas Health Science Center at Houston, Houston (Stotts); Department of Public Health Sciences, Miller School of Medicine, University of Miami, Miami (Horigian, Usaga); Hennepin Healthcare and Department of Medicine, University of Minnesota Medical School, Minneapolis (Bart); Veterans Affairs Puget Sound Health Care System, Seattle (Saxon); Manning College of Nursing and Health Sciences, University of Massachusetts, Boston (Thakral); Kaiser Permanente Southern California Department of Research and Evaluation, Pasadena (Ling Grant); Genentech, Inc., San Francisco (Boudreau)
| | - Abisola E Idu
- Center for Health Policy and Health Services Research, Henry Ford Health System, Detroit (Braciszewski, Loree); Kaiser Permanente Washington Health Research Institute (KPWHRI), Seattle (Idu, Bobb, Bradley, Glass, Matson, Lapham, Madziwa); Kaiser Permanente Northwest Center for Health Research, Portland, Oregon (Yarborough, Stumbo); HealthPartners Institute and Department of Research, University of Minnesota, Minneapolis (Rossom); MultiCare Institute for Research and Innovation, MultiCare Health System, Tacoma, Washington (Murphy, Pflugeisen, Silva); Kaiser Permanente Colorado Institute for Health Research, Colorado Permanente Medical Group, Department of Health System Science, Bernard J. Tyson Kaiser Permanente School of Medicine, University of Colorado School of Medicine, Aurora (Binswanger); Kaiser Permanente Northern California Division of Research, Oakland (Campbell); Department of Health Systems and Population Health, University of Washington, Seattle (Lapham, Hutcheson); Washington State University Health Sciences Spokane, Spokane (Barbosa-Leiker); Department of Psychiatry and Behavioral Sciences and Addictions, Drug and Alcohol Institute, University of Washington, Seattle (Hatch); Department of Medicine, University of Washington and Harborview Medical Center, Seattle (Tsui); Albert Einstein College of Medicine, Montefiore Medical Center, New York City (Arnsten); Department of Family and Community Medicine, McGovern Medical School, University of Texas Health Science Center at Houston, Houston (Stotts); Department of Public Health Sciences, Miller School of Medicine, University of Miami, Miami (Horigian, Usaga); Hennepin Healthcare and Department of Medicine, University of Minnesota Medical School, Minneapolis (Bart); Veterans Affairs Puget Sound Health Care System, Seattle (Saxon); Manning College of Nursing and Health Sciences, University of Massachusetts, Boston (Thakral); Kaiser Permanente Southern California Department of Research and Evaluation, Pasadena (Ling Grant); Genentech, Inc., San Francisco (Boudreau)
| | - Bobbi Jo H Yarborough
- Center for Health Policy and Health Services Research, Henry Ford Health System, Detroit (Braciszewski, Loree); Kaiser Permanente Washington Health Research Institute (KPWHRI), Seattle (Idu, Bobb, Bradley, Glass, Matson, Lapham, Madziwa); Kaiser Permanente Northwest Center for Health Research, Portland, Oregon (Yarborough, Stumbo); HealthPartners Institute and Department of Research, University of Minnesota, Minneapolis (Rossom); MultiCare Institute for Research and Innovation, MultiCare Health System, Tacoma, Washington (Murphy, Pflugeisen, Silva); Kaiser Permanente Colorado Institute for Health Research, Colorado Permanente Medical Group, Department of Health System Science, Bernard J. Tyson Kaiser Permanente School of Medicine, University of Colorado School of Medicine, Aurora (Binswanger); Kaiser Permanente Northern California Division of Research, Oakland (Campbell); Department of Health Systems and Population Health, University of Washington, Seattle (Lapham, Hutcheson); Washington State University Health Sciences Spokane, Spokane (Barbosa-Leiker); Department of Psychiatry and Behavioral Sciences and Addictions, Drug and Alcohol Institute, University of Washington, Seattle (Hatch); Department of Medicine, University of Washington and Harborview Medical Center, Seattle (Tsui); Albert Einstein College of Medicine, Montefiore Medical Center, New York City (Arnsten); Department of Family and Community Medicine, McGovern Medical School, University of Texas Health Science Center at Houston, Houston (Stotts); Department of Public Health Sciences, Miller School of Medicine, University of Miami, Miami (Horigian, Usaga); Hennepin Healthcare and Department of Medicine, University of Minnesota Medical School, Minneapolis (Bart); Veterans Affairs Puget Sound Health Care System, Seattle (Saxon); Manning College of Nursing and Health Sciences, University of Massachusetts, Boston (Thakral); Kaiser Permanente Southern California Department of Research and Evaluation, Pasadena (Ling Grant); Genentech, Inc., San Francisco (Boudreau)
| | - Scott P Stumbo
- Center for Health Policy and Health Services Research, Henry Ford Health System, Detroit (Braciszewski, Loree); Kaiser Permanente Washington Health Research Institute (KPWHRI), Seattle (Idu, Bobb, Bradley, Glass, Matson, Lapham, Madziwa); Kaiser Permanente Northwest Center for Health Research, Portland, Oregon (Yarborough, Stumbo); HealthPartners Institute and Department of Research, University of Minnesota, Minneapolis (Rossom); MultiCare Institute for Research and Innovation, MultiCare Health System, Tacoma, Washington (Murphy, Pflugeisen, Silva); Kaiser Permanente Colorado Institute for Health Research, Colorado Permanente Medical Group, Department of Health System Science, Bernard J. Tyson Kaiser Permanente School of Medicine, University of Colorado School of Medicine, Aurora (Binswanger); Kaiser Permanente Northern California Division of Research, Oakland (Campbell); Department of Health Systems and Population Health, University of Washington, Seattle (Lapham, Hutcheson); Washington State University Health Sciences Spokane, Spokane (Barbosa-Leiker); Department of Psychiatry and Behavioral Sciences and Addictions, Drug and Alcohol Institute, University of Washington, Seattle (Hatch); Department of Medicine, University of Washington and Harborview Medical Center, Seattle (Tsui); Albert Einstein College of Medicine, Montefiore Medical Center, New York City (Arnsten); Department of Family and Community Medicine, McGovern Medical School, University of Texas Health Science Center at Houston, Houston (Stotts); Department of Public Health Sciences, Miller School of Medicine, University of Miami, Miami (Horigian, Usaga); Hennepin Healthcare and Department of Medicine, University of Minnesota Medical School, Minneapolis (Bart); Veterans Affairs Puget Sound Health Care System, Seattle (Saxon); Manning College of Nursing and Health Sciences, University of Massachusetts, Boston (Thakral); Kaiser Permanente Southern California Department of Research and Evaluation, Pasadena (Ling Grant); Genentech, Inc., San Francisco (Boudreau)
| | - Jennifer F Bobb
- Center for Health Policy and Health Services Research, Henry Ford Health System, Detroit (Braciszewski, Loree); Kaiser Permanente Washington Health Research Institute (KPWHRI), Seattle (Idu, Bobb, Bradley, Glass, Matson, Lapham, Madziwa); Kaiser Permanente Northwest Center for Health Research, Portland, Oregon (Yarborough, Stumbo); HealthPartners Institute and Department of Research, University of Minnesota, Minneapolis (Rossom); MultiCare Institute for Research and Innovation, MultiCare Health System, Tacoma, Washington (Murphy, Pflugeisen, Silva); Kaiser Permanente Colorado Institute for Health Research, Colorado Permanente Medical Group, Department of Health System Science, Bernard J. Tyson Kaiser Permanente School of Medicine, University of Colorado School of Medicine, Aurora (Binswanger); Kaiser Permanente Northern California Division of Research, Oakland (Campbell); Department of Health Systems and Population Health, University of Washington, Seattle (Lapham, Hutcheson); Washington State University Health Sciences Spokane, Spokane (Barbosa-Leiker); Department of Psychiatry and Behavioral Sciences and Addictions, Drug and Alcohol Institute, University of Washington, Seattle (Hatch); Department of Medicine, University of Washington and Harborview Medical Center, Seattle (Tsui); Albert Einstein College of Medicine, Montefiore Medical Center, New York City (Arnsten); Department of Family and Community Medicine, McGovern Medical School, University of Texas Health Science Center at Houston, Houston (Stotts); Department of Public Health Sciences, Miller School of Medicine, University of Miami, Miami (Horigian, Usaga); Hennepin Healthcare and Department of Medicine, University of Minnesota Medical School, Minneapolis (Bart); Veterans Affairs Puget Sound Health Care System, Seattle (Saxon); Manning College of Nursing and Health Sciences, University of Massachusetts, Boston (Thakral); Kaiser Permanente Southern California Department of Research and Evaluation, Pasadena (Ling Grant); Genentech, Inc., San Francisco (Boudreau)
| | - Katharine A Bradley
- Center for Health Policy and Health Services Research, Henry Ford Health System, Detroit (Braciszewski, Loree); Kaiser Permanente Washington Health Research Institute (KPWHRI), Seattle (Idu, Bobb, Bradley, Glass, Matson, Lapham, Madziwa); Kaiser Permanente Northwest Center for Health Research, Portland, Oregon (Yarborough, Stumbo); HealthPartners Institute and Department of Research, University of Minnesota, Minneapolis (Rossom); MultiCare Institute for Research and Innovation, MultiCare Health System, Tacoma, Washington (Murphy, Pflugeisen, Silva); Kaiser Permanente Colorado Institute for Health Research, Colorado Permanente Medical Group, Department of Health System Science, Bernard J. Tyson Kaiser Permanente School of Medicine, University of Colorado School of Medicine, Aurora (Binswanger); Kaiser Permanente Northern California Division of Research, Oakland (Campbell); Department of Health Systems and Population Health, University of Washington, Seattle (Lapham, Hutcheson); Washington State University Health Sciences Spokane, Spokane (Barbosa-Leiker); Department of Psychiatry and Behavioral Sciences and Addictions, Drug and Alcohol Institute, University of Washington, Seattle (Hatch); Department of Medicine, University of Washington and Harborview Medical Center, Seattle (Tsui); Albert Einstein College of Medicine, Montefiore Medical Center, New York City (Arnsten); Department of Family and Community Medicine, McGovern Medical School, University of Texas Health Science Center at Houston, Houston (Stotts); Department of Public Health Sciences, Miller School of Medicine, University of Miami, Miami (Horigian, Usaga); Hennepin Healthcare and Department of Medicine, University of Minnesota Medical School, Minneapolis (Bart); Veterans Affairs Puget Sound Health Care System, Seattle (Saxon); Manning College of Nursing and Health Sciences, University of Massachusetts, Boston (Thakral); Kaiser Permanente Southern California Department of Research and Evaluation, Pasadena (Ling Grant); Genentech, Inc., San Francisco (Boudreau)
| | - Rebecca C Rossom
- Center for Health Policy and Health Services Research, Henry Ford Health System, Detroit (Braciszewski, Loree); Kaiser Permanente Washington Health Research Institute (KPWHRI), Seattle (Idu, Bobb, Bradley, Glass, Matson, Lapham, Madziwa); Kaiser Permanente Northwest Center for Health Research, Portland, Oregon (Yarborough, Stumbo); HealthPartners Institute and Department of Research, University of Minnesota, Minneapolis (Rossom); MultiCare Institute for Research and Innovation, MultiCare Health System, Tacoma, Washington (Murphy, Pflugeisen, Silva); Kaiser Permanente Colorado Institute for Health Research, Colorado Permanente Medical Group, Department of Health System Science, Bernard J. Tyson Kaiser Permanente School of Medicine, University of Colorado School of Medicine, Aurora (Binswanger); Kaiser Permanente Northern California Division of Research, Oakland (Campbell); Department of Health Systems and Population Health, University of Washington, Seattle (Lapham, Hutcheson); Washington State University Health Sciences Spokane, Spokane (Barbosa-Leiker); Department of Psychiatry and Behavioral Sciences and Addictions, Drug and Alcohol Institute, University of Washington, Seattle (Hatch); Department of Medicine, University of Washington and Harborview Medical Center, Seattle (Tsui); Albert Einstein College of Medicine, Montefiore Medical Center, New York City (Arnsten); Department of Family and Community Medicine, McGovern Medical School, University of Texas Health Science Center at Houston, Houston (Stotts); Department of Public Health Sciences, Miller School of Medicine, University of Miami, Miami (Horigian, Usaga); Hennepin Healthcare and Department of Medicine, University of Minnesota Medical School, Minneapolis (Bart); Veterans Affairs Puget Sound Health Care System, Seattle (Saxon); Manning College of Nursing and Health Sciences, University of Massachusetts, Boston (Thakral); Kaiser Permanente Southern California Department of Research and Evaluation, Pasadena (Ling Grant); Genentech, Inc., San Francisco (Boudreau)
| | - Mark T Murphy
- Center for Health Policy and Health Services Research, Henry Ford Health System, Detroit (Braciszewski, Loree); Kaiser Permanente Washington Health Research Institute (KPWHRI), Seattle (Idu, Bobb, Bradley, Glass, Matson, Lapham, Madziwa); Kaiser Permanente Northwest Center for Health Research, Portland, Oregon (Yarborough, Stumbo); HealthPartners Institute and Department of Research, University of Minnesota, Minneapolis (Rossom); MultiCare Institute for Research and Innovation, MultiCare Health System, Tacoma, Washington (Murphy, Pflugeisen, Silva); Kaiser Permanente Colorado Institute for Health Research, Colorado Permanente Medical Group, Department of Health System Science, Bernard J. Tyson Kaiser Permanente School of Medicine, University of Colorado School of Medicine, Aurora (Binswanger); Kaiser Permanente Northern California Division of Research, Oakland (Campbell); Department of Health Systems and Population Health, University of Washington, Seattle (Lapham, Hutcheson); Washington State University Health Sciences Spokane, Spokane (Barbosa-Leiker); Department of Psychiatry and Behavioral Sciences and Addictions, Drug and Alcohol Institute, University of Washington, Seattle (Hatch); Department of Medicine, University of Washington and Harborview Medical Center, Seattle (Tsui); Albert Einstein College of Medicine, Montefiore Medical Center, New York City (Arnsten); Department of Family and Community Medicine, McGovern Medical School, University of Texas Health Science Center at Houston, Houston (Stotts); Department of Public Health Sciences, Miller School of Medicine, University of Miami, Miami (Horigian, Usaga); Hennepin Healthcare and Department of Medicine, University of Minnesota Medical School, Minneapolis (Bart); Veterans Affairs Puget Sound Health Care System, Seattle (Saxon); Manning College of Nursing and Health Sciences, University of Massachusetts, Boston (Thakral); Kaiser Permanente Southern California Department of Research and Evaluation, Pasadena (Ling Grant); Genentech, Inc., San Francisco (Boudreau)
| | - Ingrid A Binswanger
- Center for Health Policy and Health Services Research, Henry Ford Health System, Detroit (Braciszewski, Loree); Kaiser Permanente Washington Health Research Institute (KPWHRI), Seattle (Idu, Bobb, Bradley, Glass, Matson, Lapham, Madziwa); Kaiser Permanente Northwest Center for Health Research, Portland, Oregon (Yarborough, Stumbo); HealthPartners Institute and Department of Research, University of Minnesota, Minneapolis (Rossom); MultiCare Institute for Research and Innovation, MultiCare Health System, Tacoma, Washington (Murphy, Pflugeisen, Silva); Kaiser Permanente Colorado Institute for Health Research, Colorado Permanente Medical Group, Department of Health System Science, Bernard J. Tyson Kaiser Permanente School of Medicine, University of Colorado School of Medicine, Aurora (Binswanger); Kaiser Permanente Northern California Division of Research, Oakland (Campbell); Department of Health Systems and Population Health, University of Washington, Seattle (Lapham, Hutcheson); Washington State University Health Sciences Spokane, Spokane (Barbosa-Leiker); Department of Psychiatry and Behavioral Sciences and Addictions, Drug and Alcohol Institute, University of Washington, Seattle (Hatch); Department of Medicine, University of Washington and Harborview Medical Center, Seattle (Tsui); Albert Einstein College of Medicine, Montefiore Medical Center, New York City (Arnsten); Department of Family and Community Medicine, McGovern Medical School, University of Texas Health Science Center at Houston, Houston (Stotts); Department of Public Health Sciences, Miller School of Medicine, University of Miami, Miami (Horigian, Usaga); Hennepin Healthcare and Department of Medicine, University of Minnesota Medical School, Minneapolis (Bart); Veterans Affairs Puget Sound Health Care System, Seattle (Saxon); Manning College of Nursing and Health Sciences, University of Massachusetts, Boston (Thakral); Kaiser Permanente Southern California Department of Research and Evaluation, Pasadena (Ling Grant); Genentech, Inc., San Francisco (Boudreau)
| | - Cynthia I Campbell
- Center for Health Policy and Health Services Research, Henry Ford Health System, Detroit (Braciszewski, Loree); Kaiser Permanente Washington Health Research Institute (KPWHRI), Seattle (Idu, Bobb, Bradley, Glass, Matson, Lapham, Madziwa); Kaiser Permanente Northwest Center for Health Research, Portland, Oregon (Yarborough, Stumbo); HealthPartners Institute and Department of Research, University of Minnesota, Minneapolis (Rossom); MultiCare Institute for Research and Innovation, MultiCare Health System, Tacoma, Washington (Murphy, Pflugeisen, Silva); Kaiser Permanente Colorado Institute for Health Research, Colorado Permanente Medical Group, Department of Health System Science, Bernard J. Tyson Kaiser Permanente School of Medicine, University of Colorado School of Medicine, Aurora (Binswanger); Kaiser Permanente Northern California Division of Research, Oakland (Campbell); Department of Health Systems and Population Health, University of Washington, Seattle (Lapham, Hutcheson); Washington State University Health Sciences Spokane, Spokane (Barbosa-Leiker); Department of Psychiatry and Behavioral Sciences and Addictions, Drug and Alcohol Institute, University of Washington, Seattle (Hatch); Department of Medicine, University of Washington and Harborview Medical Center, Seattle (Tsui); Albert Einstein College of Medicine, Montefiore Medical Center, New York City (Arnsten); Department of Family and Community Medicine, McGovern Medical School, University of Texas Health Science Center at Houston, Houston (Stotts); Department of Public Health Sciences, Miller School of Medicine, University of Miami, Miami (Horigian, Usaga); Hennepin Healthcare and Department of Medicine, University of Minnesota Medical School, Minneapolis (Bart); Veterans Affairs Puget Sound Health Care System, Seattle (Saxon); Manning College of Nursing and Health Sciences, University of Massachusetts, Boston (Thakral); Kaiser Permanente Southern California Department of Research and Evaluation, Pasadena (Ling Grant); Genentech, Inc., San Francisco (Boudreau)
| | - Joseph E Glass
- Center for Health Policy and Health Services Research, Henry Ford Health System, Detroit (Braciszewski, Loree); Kaiser Permanente Washington Health Research Institute (KPWHRI), Seattle (Idu, Bobb, Bradley, Glass, Matson, Lapham, Madziwa); Kaiser Permanente Northwest Center for Health Research, Portland, Oregon (Yarborough, Stumbo); HealthPartners Institute and Department of Research, University of Minnesota, Minneapolis (Rossom); MultiCare Institute for Research and Innovation, MultiCare Health System, Tacoma, Washington (Murphy, Pflugeisen, Silva); Kaiser Permanente Colorado Institute for Health Research, Colorado Permanente Medical Group, Department of Health System Science, Bernard J. Tyson Kaiser Permanente School of Medicine, University of Colorado School of Medicine, Aurora (Binswanger); Kaiser Permanente Northern California Division of Research, Oakland (Campbell); Department of Health Systems and Population Health, University of Washington, Seattle (Lapham, Hutcheson); Washington State University Health Sciences Spokane, Spokane (Barbosa-Leiker); Department of Psychiatry and Behavioral Sciences and Addictions, Drug and Alcohol Institute, University of Washington, Seattle (Hatch); Department of Medicine, University of Washington and Harborview Medical Center, Seattle (Tsui); Albert Einstein College of Medicine, Montefiore Medical Center, New York City (Arnsten); Department of Family and Community Medicine, McGovern Medical School, University of Texas Health Science Center at Houston, Houston (Stotts); Department of Public Health Sciences, Miller School of Medicine, University of Miami, Miami (Horigian, Usaga); Hennepin Healthcare and Department of Medicine, University of Minnesota Medical School, Minneapolis (Bart); Veterans Affairs Puget Sound Health Care System, Seattle (Saxon); Manning College of Nursing and Health Sciences, University of Massachusetts, Boston (Thakral); Kaiser Permanente Southern California Department of Research and Evaluation, Pasadena (Ling Grant); Genentech, Inc., San Francisco (Boudreau)
| | - Theresa E Matson
- Center for Health Policy and Health Services Research, Henry Ford Health System, Detroit (Braciszewski, Loree); Kaiser Permanente Washington Health Research Institute (KPWHRI), Seattle (Idu, Bobb, Bradley, Glass, Matson, Lapham, Madziwa); Kaiser Permanente Northwest Center for Health Research, Portland, Oregon (Yarborough, Stumbo); HealthPartners Institute and Department of Research, University of Minnesota, Minneapolis (Rossom); MultiCare Institute for Research and Innovation, MultiCare Health System, Tacoma, Washington (Murphy, Pflugeisen, Silva); Kaiser Permanente Colorado Institute for Health Research, Colorado Permanente Medical Group, Department of Health System Science, Bernard J. Tyson Kaiser Permanente School of Medicine, University of Colorado School of Medicine, Aurora (Binswanger); Kaiser Permanente Northern California Division of Research, Oakland (Campbell); Department of Health Systems and Population Health, University of Washington, Seattle (Lapham, Hutcheson); Washington State University Health Sciences Spokane, Spokane (Barbosa-Leiker); Department of Psychiatry and Behavioral Sciences and Addictions, Drug and Alcohol Institute, University of Washington, Seattle (Hatch); Department of Medicine, University of Washington and Harborview Medical Center, Seattle (Tsui); Albert Einstein College of Medicine, Montefiore Medical Center, New York City (Arnsten); Department of Family and Community Medicine, McGovern Medical School, University of Texas Health Science Center at Houston, Houston (Stotts); Department of Public Health Sciences, Miller School of Medicine, University of Miami, Miami (Horigian, Usaga); Hennepin Healthcare and Department of Medicine, University of Minnesota Medical School, Minneapolis (Bart); Veterans Affairs Puget Sound Health Care System, Seattle (Saxon); Manning College of Nursing and Health Sciences, University of Massachusetts, Boston (Thakral); Kaiser Permanente Southern California Department of Research and Evaluation, Pasadena (Ling Grant); Genentech, Inc., San Francisco (Boudreau)
| | - Gwen T Lapham
- Center for Health Policy and Health Services Research, Henry Ford Health System, Detroit (Braciszewski, Loree); Kaiser Permanente Washington Health Research Institute (KPWHRI), Seattle (Idu, Bobb, Bradley, Glass, Matson, Lapham, Madziwa); Kaiser Permanente Northwest Center for Health Research, Portland, Oregon (Yarborough, Stumbo); HealthPartners Institute and Department of Research, University of Minnesota, Minneapolis (Rossom); MultiCare Institute for Research and Innovation, MultiCare Health System, Tacoma, Washington (Murphy, Pflugeisen, Silva); Kaiser Permanente Colorado Institute for Health Research, Colorado Permanente Medical Group, Department of Health System Science, Bernard J. Tyson Kaiser Permanente School of Medicine, University of Colorado School of Medicine, Aurora (Binswanger); Kaiser Permanente Northern California Division of Research, Oakland (Campbell); Department of Health Systems and Population Health, University of Washington, Seattle (Lapham, Hutcheson); Washington State University Health Sciences Spokane, Spokane (Barbosa-Leiker); Department of Psychiatry and Behavioral Sciences and Addictions, Drug and Alcohol Institute, University of Washington, Seattle (Hatch); Department of Medicine, University of Washington and Harborview Medical Center, Seattle (Tsui); Albert Einstein College of Medicine, Montefiore Medical Center, New York City (Arnsten); Department of Family and Community Medicine, McGovern Medical School, University of Texas Health Science Center at Houston, Houston (Stotts); Department of Public Health Sciences, Miller School of Medicine, University of Miami, Miami (Horigian, Usaga); Hennepin Healthcare and Department of Medicine, University of Minnesota Medical School, Minneapolis (Bart); Veterans Affairs Puget Sound Health Care System, Seattle (Saxon); Manning College of Nursing and Health Sciences, University of Massachusetts, Boston (Thakral); Kaiser Permanente Southern California Department of Research and Evaluation, Pasadena (Ling Grant); Genentech, Inc., San Francisco (Boudreau)
| | - Amy M Loree
- Center for Health Policy and Health Services Research, Henry Ford Health System, Detroit (Braciszewski, Loree); Kaiser Permanente Washington Health Research Institute (KPWHRI), Seattle (Idu, Bobb, Bradley, Glass, Matson, Lapham, Madziwa); Kaiser Permanente Northwest Center for Health Research, Portland, Oregon (Yarborough, Stumbo); HealthPartners Institute and Department of Research, University of Minnesota, Minneapolis (Rossom); MultiCare Institute for Research and Innovation, MultiCare Health System, Tacoma, Washington (Murphy, Pflugeisen, Silva); Kaiser Permanente Colorado Institute for Health Research, Colorado Permanente Medical Group, Department of Health System Science, Bernard J. Tyson Kaiser Permanente School of Medicine, University of Colorado School of Medicine, Aurora (Binswanger); Kaiser Permanente Northern California Division of Research, Oakland (Campbell); Department of Health Systems and Population Health, University of Washington, Seattle (Lapham, Hutcheson); Washington State University Health Sciences Spokane, Spokane (Barbosa-Leiker); Department of Psychiatry and Behavioral Sciences and Addictions, Drug and Alcohol Institute, University of Washington, Seattle (Hatch); Department of Medicine, University of Washington and Harborview Medical Center, Seattle (Tsui); Albert Einstein College of Medicine, Montefiore Medical Center, New York City (Arnsten); Department of Family and Community Medicine, McGovern Medical School, University of Texas Health Science Center at Houston, Houston (Stotts); Department of Public Health Sciences, Miller School of Medicine, University of Miami, Miami (Horigian, Usaga); Hennepin Healthcare and Department of Medicine, University of Minnesota Medical School, Minneapolis (Bart); Veterans Affairs Puget Sound Health Care System, Seattle (Saxon); Manning College of Nursing and Health Sciences, University of Massachusetts, Boston (Thakral); Kaiser Permanente Southern California Department of Research and Evaluation, Pasadena (Ling Grant); Genentech, Inc., San Francisco (Boudreau)
| | - Celestina Barbosa-Leiker
- Center for Health Policy and Health Services Research, Henry Ford Health System, Detroit (Braciszewski, Loree); Kaiser Permanente Washington Health Research Institute (KPWHRI), Seattle (Idu, Bobb, Bradley, Glass, Matson, Lapham, Madziwa); Kaiser Permanente Northwest Center for Health Research, Portland, Oregon (Yarborough, Stumbo); HealthPartners Institute and Department of Research, University of Minnesota, Minneapolis (Rossom); MultiCare Institute for Research and Innovation, MultiCare Health System, Tacoma, Washington (Murphy, Pflugeisen, Silva); Kaiser Permanente Colorado Institute for Health Research, Colorado Permanente Medical Group, Department of Health System Science, Bernard J. Tyson Kaiser Permanente School of Medicine, University of Colorado School of Medicine, Aurora (Binswanger); Kaiser Permanente Northern California Division of Research, Oakland (Campbell); Department of Health Systems and Population Health, University of Washington, Seattle (Lapham, Hutcheson); Washington State University Health Sciences Spokane, Spokane (Barbosa-Leiker); Department of Psychiatry and Behavioral Sciences and Addictions, Drug and Alcohol Institute, University of Washington, Seattle (Hatch); Department of Medicine, University of Washington and Harborview Medical Center, Seattle (Tsui); Albert Einstein College of Medicine, Montefiore Medical Center, New York City (Arnsten); Department of Family and Community Medicine, McGovern Medical School, University of Texas Health Science Center at Houston, Houston (Stotts); Department of Public Health Sciences, Miller School of Medicine, University of Miami, Miami (Horigian, Usaga); Hennepin Healthcare and Department of Medicine, University of Minnesota Medical School, Minneapolis (Bart); Veterans Affairs Puget Sound Health Care System, Seattle (Saxon); Manning College of Nursing and Health Sciences, University of Massachusetts, Boston (Thakral); Kaiser Permanente Southern California Department of Research and Evaluation, Pasadena (Ling Grant); Genentech, Inc., San Francisco (Boudreau)
| | - Mary A Hatch
- Center for Health Policy and Health Services Research, Henry Ford Health System, Detroit (Braciszewski, Loree); Kaiser Permanente Washington Health Research Institute (KPWHRI), Seattle (Idu, Bobb, Bradley, Glass, Matson, Lapham, Madziwa); Kaiser Permanente Northwest Center for Health Research, Portland, Oregon (Yarborough, Stumbo); HealthPartners Institute and Department of Research, University of Minnesota, Minneapolis (Rossom); MultiCare Institute for Research and Innovation, MultiCare Health System, Tacoma, Washington (Murphy, Pflugeisen, Silva); Kaiser Permanente Colorado Institute for Health Research, Colorado Permanente Medical Group, Department of Health System Science, Bernard J. Tyson Kaiser Permanente School of Medicine, University of Colorado School of Medicine, Aurora (Binswanger); Kaiser Permanente Northern California Division of Research, Oakland (Campbell); Department of Health Systems and Population Health, University of Washington, Seattle (Lapham, Hutcheson); Washington State University Health Sciences Spokane, Spokane (Barbosa-Leiker); Department of Psychiatry and Behavioral Sciences and Addictions, Drug and Alcohol Institute, University of Washington, Seattle (Hatch); Department of Medicine, University of Washington and Harborview Medical Center, Seattle (Tsui); Albert Einstein College of Medicine, Montefiore Medical Center, New York City (Arnsten); Department of Family and Community Medicine, McGovern Medical School, University of Texas Health Science Center at Houston, Houston (Stotts); Department of Public Health Sciences, Miller School of Medicine, University of Miami, Miami (Horigian, Usaga); Hennepin Healthcare and Department of Medicine, University of Minnesota Medical School, Minneapolis (Bart); Veterans Affairs Puget Sound Health Care System, Seattle (Saxon); Manning College of Nursing and Health Sciences, University of Massachusetts, Boston (Thakral); Kaiser Permanente Southern California Department of Research and Evaluation, Pasadena (Ling Grant); Genentech, Inc., San Francisco (Boudreau)
| | - Judith I Tsui
- Center for Health Policy and Health Services Research, Henry Ford Health System, Detroit (Braciszewski, Loree); Kaiser Permanente Washington Health Research Institute (KPWHRI), Seattle (Idu, Bobb, Bradley, Glass, Matson, Lapham, Madziwa); Kaiser Permanente Northwest Center for Health Research, Portland, Oregon (Yarborough, Stumbo); HealthPartners Institute and Department of Research, University of Minnesota, Minneapolis (Rossom); MultiCare Institute for Research and Innovation, MultiCare Health System, Tacoma, Washington (Murphy, Pflugeisen, Silva); Kaiser Permanente Colorado Institute for Health Research, Colorado Permanente Medical Group, Department of Health System Science, Bernard J. Tyson Kaiser Permanente School of Medicine, University of Colorado School of Medicine, Aurora (Binswanger); Kaiser Permanente Northern California Division of Research, Oakland (Campbell); Department of Health Systems and Population Health, University of Washington, Seattle (Lapham, Hutcheson); Washington State University Health Sciences Spokane, Spokane (Barbosa-Leiker); Department of Psychiatry and Behavioral Sciences and Addictions, Drug and Alcohol Institute, University of Washington, Seattle (Hatch); Department of Medicine, University of Washington and Harborview Medical Center, Seattle (Tsui); Albert Einstein College of Medicine, Montefiore Medical Center, New York City (Arnsten); Department of Family and Community Medicine, McGovern Medical School, University of Texas Health Science Center at Houston, Houston (Stotts); Department of Public Health Sciences, Miller School of Medicine, University of Miami, Miami (Horigian, Usaga); Hennepin Healthcare and Department of Medicine, University of Minnesota Medical School, Minneapolis (Bart); Veterans Affairs Puget Sound Health Care System, Seattle (Saxon); Manning College of Nursing and Health Sciences, University of Massachusetts, Boston (Thakral); Kaiser Permanente Southern California Department of Research and Evaluation, Pasadena (Ling Grant); Genentech, Inc., San Francisco (Boudreau)
| | - Julia H Arnsten
- Center for Health Policy and Health Services Research, Henry Ford Health System, Detroit (Braciszewski, Loree); Kaiser Permanente Washington Health Research Institute (KPWHRI), Seattle (Idu, Bobb, Bradley, Glass, Matson, Lapham, Madziwa); Kaiser Permanente Northwest Center for Health Research, Portland, Oregon (Yarborough, Stumbo); HealthPartners Institute and Department of Research, University of Minnesota, Minneapolis (Rossom); MultiCare Institute for Research and Innovation, MultiCare Health System, Tacoma, Washington (Murphy, Pflugeisen, Silva); Kaiser Permanente Colorado Institute for Health Research, Colorado Permanente Medical Group, Department of Health System Science, Bernard J. Tyson Kaiser Permanente School of Medicine, University of Colorado School of Medicine, Aurora (Binswanger); Kaiser Permanente Northern California Division of Research, Oakland (Campbell); Department of Health Systems and Population Health, University of Washington, Seattle (Lapham, Hutcheson); Washington State University Health Sciences Spokane, Spokane (Barbosa-Leiker); Department of Psychiatry and Behavioral Sciences and Addictions, Drug and Alcohol Institute, University of Washington, Seattle (Hatch); Department of Medicine, University of Washington and Harborview Medical Center, Seattle (Tsui); Albert Einstein College of Medicine, Montefiore Medical Center, New York City (Arnsten); Department of Family and Community Medicine, McGovern Medical School, University of Texas Health Science Center at Houston, Houston (Stotts); Department of Public Health Sciences, Miller School of Medicine, University of Miami, Miami (Horigian, Usaga); Hennepin Healthcare and Department of Medicine, University of Minnesota Medical School, Minneapolis (Bart); Veterans Affairs Puget Sound Health Care System, Seattle (Saxon); Manning College of Nursing and Health Sciences, University of Massachusetts, Boston (Thakral); Kaiser Permanente Southern California Department of Research and Evaluation, Pasadena (Ling Grant); Genentech, Inc., San Francisco (Boudreau)
| | - Angela Stotts
- Center for Health Policy and Health Services Research, Henry Ford Health System, Detroit (Braciszewski, Loree); Kaiser Permanente Washington Health Research Institute (KPWHRI), Seattle (Idu, Bobb, Bradley, Glass, Matson, Lapham, Madziwa); Kaiser Permanente Northwest Center for Health Research, Portland, Oregon (Yarborough, Stumbo); HealthPartners Institute and Department of Research, University of Minnesota, Minneapolis (Rossom); MultiCare Institute for Research and Innovation, MultiCare Health System, Tacoma, Washington (Murphy, Pflugeisen, Silva); Kaiser Permanente Colorado Institute for Health Research, Colorado Permanente Medical Group, Department of Health System Science, Bernard J. Tyson Kaiser Permanente School of Medicine, University of Colorado School of Medicine, Aurora (Binswanger); Kaiser Permanente Northern California Division of Research, Oakland (Campbell); Department of Health Systems and Population Health, University of Washington, Seattle (Lapham, Hutcheson); Washington State University Health Sciences Spokane, Spokane (Barbosa-Leiker); Department of Psychiatry and Behavioral Sciences and Addictions, Drug and Alcohol Institute, University of Washington, Seattle (Hatch); Department of Medicine, University of Washington and Harborview Medical Center, Seattle (Tsui); Albert Einstein College of Medicine, Montefiore Medical Center, New York City (Arnsten); Department of Family and Community Medicine, McGovern Medical School, University of Texas Health Science Center at Houston, Houston (Stotts); Department of Public Health Sciences, Miller School of Medicine, University of Miami, Miami (Horigian, Usaga); Hennepin Healthcare and Department of Medicine, University of Minnesota Medical School, Minneapolis (Bart); Veterans Affairs Puget Sound Health Care System, Seattle (Saxon); Manning College of Nursing and Health Sciences, University of Massachusetts, Boston (Thakral); Kaiser Permanente Southern California Department of Research and Evaluation, Pasadena (Ling Grant); Genentech, Inc., San Francisco (Boudreau)
| | - Viviana Horigian
- Center for Health Policy and Health Services Research, Henry Ford Health System, Detroit (Braciszewski, Loree); Kaiser Permanente Washington Health Research Institute (KPWHRI), Seattle (Idu, Bobb, Bradley, Glass, Matson, Lapham, Madziwa); Kaiser Permanente Northwest Center for Health Research, Portland, Oregon (Yarborough, Stumbo); HealthPartners Institute and Department of Research, University of Minnesota, Minneapolis (Rossom); MultiCare Institute for Research and Innovation, MultiCare Health System, Tacoma, Washington (Murphy, Pflugeisen, Silva); Kaiser Permanente Colorado Institute for Health Research, Colorado Permanente Medical Group, Department of Health System Science, Bernard J. Tyson Kaiser Permanente School of Medicine, University of Colorado School of Medicine, Aurora (Binswanger); Kaiser Permanente Northern California Division of Research, Oakland (Campbell); Department of Health Systems and Population Health, University of Washington, Seattle (Lapham, Hutcheson); Washington State University Health Sciences Spokane, Spokane (Barbosa-Leiker); Department of Psychiatry and Behavioral Sciences and Addictions, Drug and Alcohol Institute, University of Washington, Seattle (Hatch); Department of Medicine, University of Washington and Harborview Medical Center, Seattle (Tsui); Albert Einstein College of Medicine, Montefiore Medical Center, New York City (Arnsten); Department of Family and Community Medicine, McGovern Medical School, University of Texas Health Science Center at Houston, Houston (Stotts); Department of Public Health Sciences, Miller School of Medicine, University of Miami, Miami (Horigian, Usaga); Hennepin Healthcare and Department of Medicine, University of Minnesota Medical School, Minneapolis (Bart); Veterans Affairs Puget Sound Health Care System, Seattle (Saxon); Manning College of Nursing and Health Sciences, University of Massachusetts, Boston (Thakral); Kaiser Permanente Southern California Department of Research and Evaluation, Pasadena (Ling Grant); Genentech, Inc., San Francisco (Boudreau)
| | - Rebecca Hutcheson
- Center for Health Policy and Health Services Research, Henry Ford Health System, Detroit (Braciszewski, Loree); Kaiser Permanente Washington Health Research Institute (KPWHRI), Seattle (Idu, Bobb, Bradley, Glass, Matson, Lapham, Madziwa); Kaiser Permanente Northwest Center for Health Research, Portland, Oregon (Yarborough, Stumbo); HealthPartners Institute and Department of Research, University of Minnesota, Minneapolis (Rossom); MultiCare Institute for Research and Innovation, MultiCare Health System, Tacoma, Washington (Murphy, Pflugeisen, Silva); Kaiser Permanente Colorado Institute for Health Research, Colorado Permanente Medical Group, Department of Health System Science, Bernard J. Tyson Kaiser Permanente School of Medicine, University of Colorado School of Medicine, Aurora (Binswanger); Kaiser Permanente Northern California Division of Research, Oakland (Campbell); Department of Health Systems and Population Health, University of Washington, Seattle (Lapham, Hutcheson); Washington State University Health Sciences Spokane, Spokane (Barbosa-Leiker); Department of Psychiatry and Behavioral Sciences and Addictions, Drug and Alcohol Institute, University of Washington, Seattle (Hatch); Department of Medicine, University of Washington and Harborview Medical Center, Seattle (Tsui); Albert Einstein College of Medicine, Montefiore Medical Center, New York City (Arnsten); Department of Family and Community Medicine, McGovern Medical School, University of Texas Health Science Center at Houston, Houston (Stotts); Department of Public Health Sciences, Miller School of Medicine, University of Miami, Miami (Horigian, Usaga); Hennepin Healthcare and Department of Medicine, University of Minnesota Medical School, Minneapolis (Bart); Veterans Affairs Puget Sound Health Care System, Seattle (Saxon); Manning College of Nursing and Health Sciences, University of Massachusetts, Boston (Thakral); Kaiser Permanente Southern California Department of Research and Evaluation, Pasadena (Ling Grant); Genentech, Inc., San Francisco (Boudreau)
| | - Gavin Bart
- Center for Health Policy and Health Services Research, Henry Ford Health System, Detroit (Braciszewski, Loree); Kaiser Permanente Washington Health Research Institute (KPWHRI), Seattle (Idu, Bobb, Bradley, Glass, Matson, Lapham, Madziwa); Kaiser Permanente Northwest Center for Health Research, Portland, Oregon (Yarborough, Stumbo); HealthPartners Institute and Department of Research, University of Minnesota, Minneapolis (Rossom); MultiCare Institute for Research and Innovation, MultiCare Health System, Tacoma, Washington (Murphy, Pflugeisen, Silva); Kaiser Permanente Colorado Institute for Health Research, Colorado Permanente Medical Group, Department of Health System Science, Bernard J. Tyson Kaiser Permanente School of Medicine, University of Colorado School of Medicine, Aurora (Binswanger); Kaiser Permanente Northern California Division of Research, Oakland (Campbell); Department of Health Systems and Population Health, University of Washington, Seattle (Lapham, Hutcheson); Washington State University Health Sciences Spokane, Spokane (Barbosa-Leiker); Department of Psychiatry and Behavioral Sciences and Addictions, Drug and Alcohol Institute, University of Washington, Seattle (Hatch); Department of Medicine, University of Washington and Harborview Medical Center, Seattle (Tsui); Albert Einstein College of Medicine, Montefiore Medical Center, New York City (Arnsten); Department of Family and Community Medicine, McGovern Medical School, University of Texas Health Science Center at Houston, Houston (Stotts); Department of Public Health Sciences, Miller School of Medicine, University of Miami, Miami (Horigian, Usaga); Hennepin Healthcare and Department of Medicine, University of Minnesota Medical School, Minneapolis (Bart); Veterans Affairs Puget Sound Health Care System, Seattle (Saxon); Manning College of Nursing and Health Sciences, University of Massachusetts, Boston (Thakral); Kaiser Permanente Southern California Department of Research and Evaluation, Pasadena (Ling Grant); Genentech, Inc., San Francisco (Boudreau)
| | - Andrew J Saxon
- Center for Health Policy and Health Services Research, Henry Ford Health System, Detroit (Braciszewski, Loree); Kaiser Permanente Washington Health Research Institute (KPWHRI), Seattle (Idu, Bobb, Bradley, Glass, Matson, Lapham, Madziwa); Kaiser Permanente Northwest Center for Health Research, Portland, Oregon (Yarborough, Stumbo); HealthPartners Institute and Department of Research, University of Minnesota, Minneapolis (Rossom); MultiCare Institute for Research and Innovation, MultiCare Health System, Tacoma, Washington (Murphy, Pflugeisen, Silva); Kaiser Permanente Colorado Institute for Health Research, Colorado Permanente Medical Group, Department of Health System Science, Bernard J. Tyson Kaiser Permanente School of Medicine, University of Colorado School of Medicine, Aurora (Binswanger); Kaiser Permanente Northern California Division of Research, Oakland (Campbell); Department of Health Systems and Population Health, University of Washington, Seattle (Lapham, Hutcheson); Washington State University Health Sciences Spokane, Spokane (Barbosa-Leiker); Department of Psychiatry and Behavioral Sciences and Addictions, Drug and Alcohol Institute, University of Washington, Seattle (Hatch); Department of Medicine, University of Washington and Harborview Medical Center, Seattle (Tsui); Albert Einstein College of Medicine, Montefiore Medical Center, New York City (Arnsten); Department of Family and Community Medicine, McGovern Medical School, University of Texas Health Science Center at Houston, Houston (Stotts); Department of Public Health Sciences, Miller School of Medicine, University of Miami, Miami (Horigian, Usaga); Hennepin Healthcare and Department of Medicine, University of Minnesota Medical School, Minneapolis (Bart); Veterans Affairs Puget Sound Health Care System, Seattle (Saxon); Manning College of Nursing and Health Sciences, University of Massachusetts, Boston (Thakral); Kaiser Permanente Southern California Department of Research and Evaluation, Pasadena (Ling Grant); Genentech, Inc., San Francisco (Boudreau)
| | - Manu Thakral
- Center for Health Policy and Health Services Research, Henry Ford Health System, Detroit (Braciszewski, Loree); Kaiser Permanente Washington Health Research Institute (KPWHRI), Seattle (Idu, Bobb, Bradley, Glass, Matson, Lapham, Madziwa); Kaiser Permanente Northwest Center for Health Research, Portland, Oregon (Yarborough, Stumbo); HealthPartners Institute and Department of Research, University of Minnesota, Minneapolis (Rossom); MultiCare Institute for Research and Innovation, MultiCare Health System, Tacoma, Washington (Murphy, Pflugeisen, Silva); Kaiser Permanente Colorado Institute for Health Research, Colorado Permanente Medical Group, Department of Health System Science, Bernard J. Tyson Kaiser Permanente School of Medicine, University of Colorado School of Medicine, Aurora (Binswanger); Kaiser Permanente Northern California Division of Research, Oakland (Campbell); Department of Health Systems and Population Health, University of Washington, Seattle (Lapham, Hutcheson); Washington State University Health Sciences Spokane, Spokane (Barbosa-Leiker); Department of Psychiatry and Behavioral Sciences and Addictions, Drug and Alcohol Institute, University of Washington, Seattle (Hatch); Department of Medicine, University of Washington and Harborview Medical Center, Seattle (Tsui); Albert Einstein College of Medicine, Montefiore Medical Center, New York City (Arnsten); Department of Family and Community Medicine, McGovern Medical School, University of Texas Health Science Center at Houston, Houston (Stotts); Department of Public Health Sciences, Miller School of Medicine, University of Miami, Miami (Horigian, Usaga); Hennepin Healthcare and Department of Medicine, University of Minnesota Medical School, Minneapolis (Bart); Veterans Affairs Puget Sound Health Care System, Seattle (Saxon); Manning College of Nursing and Health Sciences, University of Massachusetts, Boston (Thakral); Kaiser Permanente Southern California Department of Research and Evaluation, Pasadena (Ling Grant); Genentech, Inc., San Francisco (Boudreau)
| | - Deborah Ling Grant
- Center for Health Policy and Health Services Research, Henry Ford Health System, Detroit (Braciszewski, Loree); Kaiser Permanente Washington Health Research Institute (KPWHRI), Seattle (Idu, Bobb, Bradley, Glass, Matson, Lapham, Madziwa); Kaiser Permanente Northwest Center for Health Research, Portland, Oregon (Yarborough, Stumbo); HealthPartners Institute and Department of Research, University of Minnesota, Minneapolis (Rossom); MultiCare Institute for Research and Innovation, MultiCare Health System, Tacoma, Washington (Murphy, Pflugeisen, Silva); Kaiser Permanente Colorado Institute for Health Research, Colorado Permanente Medical Group, Department of Health System Science, Bernard J. Tyson Kaiser Permanente School of Medicine, University of Colorado School of Medicine, Aurora (Binswanger); Kaiser Permanente Northern California Division of Research, Oakland (Campbell); Department of Health Systems and Population Health, University of Washington, Seattle (Lapham, Hutcheson); Washington State University Health Sciences Spokane, Spokane (Barbosa-Leiker); Department of Psychiatry and Behavioral Sciences and Addictions, Drug and Alcohol Institute, University of Washington, Seattle (Hatch); Department of Medicine, University of Washington and Harborview Medical Center, Seattle (Tsui); Albert Einstein College of Medicine, Montefiore Medical Center, New York City (Arnsten); Department of Family and Community Medicine, McGovern Medical School, University of Texas Health Science Center at Houston, Houston (Stotts); Department of Public Health Sciences, Miller School of Medicine, University of Miami, Miami (Horigian, Usaga); Hennepin Healthcare and Department of Medicine, University of Minnesota Medical School, Minneapolis (Bart); Veterans Affairs Puget Sound Health Care System, Seattle (Saxon); Manning College of Nursing and Health Sciences, University of Massachusetts, Boston (Thakral); Kaiser Permanente Southern California Department of Research and Evaluation, Pasadena (Ling Grant); Genentech, Inc., San Francisco (Boudreau)
| | - Chaya Mangel Pflugeisen
- Center for Health Policy and Health Services Research, Henry Ford Health System, Detroit (Braciszewski, Loree); Kaiser Permanente Washington Health Research Institute (KPWHRI), Seattle (Idu, Bobb, Bradley, Glass, Matson, Lapham, Madziwa); Kaiser Permanente Northwest Center for Health Research, Portland, Oregon (Yarborough, Stumbo); HealthPartners Institute and Department of Research, University of Minnesota, Minneapolis (Rossom); MultiCare Institute for Research and Innovation, MultiCare Health System, Tacoma, Washington (Murphy, Pflugeisen, Silva); Kaiser Permanente Colorado Institute for Health Research, Colorado Permanente Medical Group, Department of Health System Science, Bernard J. Tyson Kaiser Permanente School of Medicine, University of Colorado School of Medicine, Aurora (Binswanger); Kaiser Permanente Northern California Division of Research, Oakland (Campbell); Department of Health Systems and Population Health, University of Washington, Seattle (Lapham, Hutcheson); Washington State University Health Sciences Spokane, Spokane (Barbosa-Leiker); Department of Psychiatry and Behavioral Sciences and Addictions, Drug and Alcohol Institute, University of Washington, Seattle (Hatch); Department of Medicine, University of Washington and Harborview Medical Center, Seattle (Tsui); Albert Einstein College of Medicine, Montefiore Medical Center, New York City (Arnsten); Department of Family and Community Medicine, McGovern Medical School, University of Texas Health Science Center at Houston, Houston (Stotts); Department of Public Health Sciences, Miller School of Medicine, University of Miami, Miami (Horigian, Usaga); Hennepin Healthcare and Department of Medicine, University of Minnesota Medical School, Minneapolis (Bart); Veterans Affairs Puget Sound Health Care System, Seattle (Saxon); Manning College of Nursing and Health Sciences, University of Massachusetts, Boston (Thakral); Kaiser Permanente Southern California Department of Research and Evaluation, Pasadena (Ling Grant); Genentech, Inc., San Francisco (Boudreau)
| | - Ingrid Usaga
- Center for Health Policy and Health Services Research, Henry Ford Health System, Detroit (Braciszewski, Loree); Kaiser Permanente Washington Health Research Institute (KPWHRI), Seattle (Idu, Bobb, Bradley, Glass, Matson, Lapham, Madziwa); Kaiser Permanente Northwest Center for Health Research, Portland, Oregon (Yarborough, Stumbo); HealthPartners Institute and Department of Research, University of Minnesota, Minneapolis (Rossom); MultiCare Institute for Research and Innovation, MultiCare Health System, Tacoma, Washington (Murphy, Pflugeisen, Silva); Kaiser Permanente Colorado Institute for Health Research, Colorado Permanente Medical Group, Department of Health System Science, Bernard J. Tyson Kaiser Permanente School of Medicine, University of Colorado School of Medicine, Aurora (Binswanger); Kaiser Permanente Northern California Division of Research, Oakland (Campbell); Department of Health Systems and Population Health, University of Washington, Seattle (Lapham, Hutcheson); Washington State University Health Sciences Spokane, Spokane (Barbosa-Leiker); Department of Psychiatry and Behavioral Sciences and Addictions, Drug and Alcohol Institute, University of Washington, Seattle (Hatch); Department of Medicine, University of Washington and Harborview Medical Center, Seattle (Tsui); Albert Einstein College of Medicine, Montefiore Medical Center, New York City (Arnsten); Department of Family and Community Medicine, McGovern Medical School, University of Texas Health Science Center at Houston, Houston (Stotts); Department of Public Health Sciences, Miller School of Medicine, University of Miami, Miami (Horigian, Usaga); Hennepin Healthcare and Department of Medicine, University of Minnesota Medical School, Minneapolis (Bart); Veterans Affairs Puget Sound Health Care System, Seattle (Saxon); Manning College of Nursing and Health Sciences, University of Massachusetts, Boston (Thakral); Kaiser Permanente Southern California Department of Research and Evaluation, Pasadena (Ling Grant); Genentech, Inc., San Francisco (Boudreau)
| | - Lawrence T Madziwa
- Center for Health Policy and Health Services Research, Henry Ford Health System, Detroit (Braciszewski, Loree); Kaiser Permanente Washington Health Research Institute (KPWHRI), Seattle (Idu, Bobb, Bradley, Glass, Matson, Lapham, Madziwa); Kaiser Permanente Northwest Center for Health Research, Portland, Oregon (Yarborough, Stumbo); HealthPartners Institute and Department of Research, University of Minnesota, Minneapolis (Rossom); MultiCare Institute for Research and Innovation, MultiCare Health System, Tacoma, Washington (Murphy, Pflugeisen, Silva); Kaiser Permanente Colorado Institute for Health Research, Colorado Permanente Medical Group, Department of Health System Science, Bernard J. Tyson Kaiser Permanente School of Medicine, University of Colorado School of Medicine, Aurora (Binswanger); Kaiser Permanente Northern California Division of Research, Oakland (Campbell); Department of Health Systems and Population Health, University of Washington, Seattle (Lapham, Hutcheson); Washington State University Health Sciences Spokane, Spokane (Barbosa-Leiker); Department of Psychiatry and Behavioral Sciences and Addictions, Drug and Alcohol Institute, University of Washington, Seattle (Hatch); Department of Medicine, University of Washington and Harborview Medical Center, Seattle (Tsui); Albert Einstein College of Medicine, Montefiore Medical Center, New York City (Arnsten); Department of Family and Community Medicine, McGovern Medical School, University of Texas Health Science Center at Houston, Houston (Stotts); Department of Public Health Sciences, Miller School of Medicine, University of Miami, Miami (Horigian, Usaga); Hennepin Healthcare and Department of Medicine, University of Minnesota Medical School, Minneapolis (Bart); Veterans Affairs Puget Sound Health Care System, Seattle (Saxon); Manning College of Nursing and Health Sciences, University of Massachusetts, Boston (Thakral); Kaiser Permanente Southern California Department of Research and Evaluation, Pasadena (Ling Grant); Genentech, Inc., San Francisco (Boudreau)
| | - Angela Silva
- Center for Health Policy and Health Services Research, Henry Ford Health System, Detroit (Braciszewski, Loree); Kaiser Permanente Washington Health Research Institute (KPWHRI), Seattle (Idu, Bobb, Bradley, Glass, Matson, Lapham, Madziwa); Kaiser Permanente Northwest Center for Health Research, Portland, Oregon (Yarborough, Stumbo); HealthPartners Institute and Department of Research, University of Minnesota, Minneapolis (Rossom); MultiCare Institute for Research and Innovation, MultiCare Health System, Tacoma, Washington (Murphy, Pflugeisen, Silva); Kaiser Permanente Colorado Institute for Health Research, Colorado Permanente Medical Group, Department of Health System Science, Bernard J. Tyson Kaiser Permanente School of Medicine, University of Colorado School of Medicine, Aurora (Binswanger); Kaiser Permanente Northern California Division of Research, Oakland (Campbell); Department of Health Systems and Population Health, University of Washington, Seattle (Lapham, Hutcheson); Washington State University Health Sciences Spokane, Spokane (Barbosa-Leiker); Department of Psychiatry and Behavioral Sciences and Addictions, Drug and Alcohol Institute, University of Washington, Seattle (Hatch); Department of Medicine, University of Washington and Harborview Medical Center, Seattle (Tsui); Albert Einstein College of Medicine, Montefiore Medical Center, New York City (Arnsten); Department of Family and Community Medicine, McGovern Medical School, University of Texas Health Science Center at Houston, Houston (Stotts); Department of Public Health Sciences, Miller School of Medicine, University of Miami, Miami (Horigian, Usaga); Hennepin Healthcare and Department of Medicine, University of Minnesota Medical School, Minneapolis (Bart); Veterans Affairs Puget Sound Health Care System, Seattle (Saxon); Manning College of Nursing and Health Sciences, University of Massachusetts, Boston (Thakral); Kaiser Permanente Southern California Department of Research and Evaluation, Pasadena (Ling Grant); Genentech, Inc., San Francisco (Boudreau)
| | - Denise M Boudreau
- Center for Health Policy and Health Services Research, Henry Ford Health System, Detroit (Braciszewski, Loree); Kaiser Permanente Washington Health Research Institute (KPWHRI), Seattle (Idu, Bobb, Bradley, Glass, Matson, Lapham, Madziwa); Kaiser Permanente Northwest Center for Health Research, Portland, Oregon (Yarborough, Stumbo); HealthPartners Institute and Department of Research, University of Minnesota, Minneapolis (Rossom); MultiCare Institute for Research and Innovation, MultiCare Health System, Tacoma, Washington (Murphy, Pflugeisen, Silva); Kaiser Permanente Colorado Institute for Health Research, Colorado Permanente Medical Group, Department of Health System Science, Bernard J. Tyson Kaiser Permanente School of Medicine, University of Colorado School of Medicine, Aurora (Binswanger); Kaiser Permanente Northern California Division of Research, Oakland (Campbell); Department of Health Systems and Population Health, University of Washington, Seattle (Lapham, Hutcheson); Washington State University Health Sciences Spokane, Spokane (Barbosa-Leiker); Department of Psychiatry and Behavioral Sciences and Addictions, Drug and Alcohol Institute, University of Washington, Seattle (Hatch); Department of Medicine, University of Washington and Harborview Medical Center, Seattle (Tsui); Albert Einstein College of Medicine, Montefiore Medical Center, New York City (Arnsten); Department of Family and Community Medicine, McGovern Medical School, University of Texas Health Science Center at Houston, Houston (Stotts); Department of Public Health Sciences, Miller School of Medicine, University of Miami, Miami (Horigian, Usaga); Hennepin Healthcare and Department of Medicine, University of Minnesota Medical School, Minneapolis (Bart); Veterans Affairs Puget Sound Health Care System, Seattle (Saxon); Manning College of Nursing and Health Sciences, University of Massachusetts, Boston (Thakral); Kaiser Permanente Southern California Department of Research and Evaluation, Pasadena (Ling Grant); Genentech, Inc., San Francisco (Boudreau)
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Racial/ethnic residential segregation and the availability of opioid and substance use treatment facilities in US counties, 2009–2019. SSM Popul Health 2022; 20:101289. [DOI: 10.1016/j.ssmph.2022.101289] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2022] [Revised: 10/14/2022] [Accepted: 11/10/2022] [Indexed: 11/20/2022] Open
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Dunphy CC, Zhang K, Xu L, Guy GP. Racial‒Ethnic Disparities of Buprenorphine and Vivitrol Receipt in Medicaid. Am J Prev Med 2022; 63:717-725. [PMID: 35803789 PMCID: PMC9588682 DOI: 10.1016/j.amepre.2022.05.006] [Citation(s) in RCA: 28] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/12/2022] [Revised: 05/11/2022] [Accepted: 05/13/2022] [Indexed: 12/01/2022]
Abstract
INTRODUCTION Expanding access to medications for opioid use disorder is a cornerstone to addressing the opioid overdose epidemic. However, recent research suggests that the distribution of medications for opioid use disorder has been inequitable. This study analyzes the racial‒ethnic disparities in the receipt of medications for opioid use disorder among Medicaid patients diagnosed with opioid use disorder. METHODS Medicaid claims data from the Transformed Medicaid Statistical Information System for the years 2017-2019 were used for the analysis. Logistic regression models estimated the odds of receiving buprenorphine and Vivitrol within 180 days after initial opioid use disorder diagnosis on the basis of race‒ethnicity. Analysis was conducted in 2022. RESULTS Non-Hispanic Black people, non-Hispanic American Indian or Alaskan Native/Asian/Hawaiian/Pacific Islander people, and Hispanic people had 42%, 12%, and 22% lower odds of buprenorphine receipt and 47%, 12%, and 20% lower odds of Vivitrol receipt, respectively, than non-Hispanic White people, controlling for clinical and demographic patient variables. CONCLUSIONS This study suggests that there are racial‒ethnic disparities in the receipt of buprenorphine and Vivitrol among Medicaid patients diagnosed with opioid use disorder after adjusting for demographic, geographic, and clinical characteristics. The potential strategies to address these disparities include expanding the workforce of providers who can prescribe medications for opioid use disorder in low-income communities and communities of color and allocating resources to address the stigma in medications for opioid use disorder treatment.
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Affiliation(s)
- Christopher C Dunphy
- National Center for Injury Prevention and Control, Centers for Disease Control and Prevention, Atlanta, Georgia.
| | - Kun Zhang
- National Center for Injury Prevention and Control, Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Likang Xu
- National Center for Injury Prevention and Control, Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Gery P Guy
- National Center for Injury Prevention and Control, Centers for Disease Control and Prevention, Atlanta, Georgia
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Nothing really changed: Arizona patient experience of methadone and buprenorphine access during COVID. PLoS One 2022; 17:e0274094. [PMID: 36282806 PMCID: PMC9595554 DOI: 10.1371/journal.pone.0274094] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2022] [Accepted: 08/22/2022] [Indexed: 11/07/2022] Open
Abstract
Objective To understand patient experience of federal regulatory changes governing methadone and buprenorphine (MOUD) access in Arizona during the COVID-19 pandemic. Methods This community-based participatory and action research study involved one-hour, audio-recorded field interviews conducted with 131 people who used methadone and/or buprenorphine to address opioid use disorder at some point during COVID (January 1, 2020- March 31, 2021) in Arizona. Transcribed data were analyzed using a priori codes focused on federally recommended flexibilities governing MOUD access. Data were quantitated to investigate associations with COVID risk and services access. Results Telehealth was reported by 71.0% of participants, but the majority were required to come to the clinic to attend video appointments with an offsite provider. Risk for severe COVID outcomes was reported by 40.5% of the sample. Thirty-eight percent of the sample and 39.7% of methadone patients were required to be at the clinic daily to get medication and 47.6% were at high risk for COVID severe outcomes. About half (54.2%) of methadone patients indicated that some form of multi-day take home dosing was offered at their clinic, and 45.8% were offered an extra day or two of multi-day doses; but no participants received the federally allowed 14- or 28-day methadone take-home doses for unstable and stable patients respectively. All participants expressed that daily clinic visits interrupted their work and home lives and desired more take-home dosing and home delivery options. Conclusions MOUD patients in Arizona were not offered many of the federally allowed flexibilities for access that were designed to reduce their need to be at the clinic. To understand the impact of these recommended treatment changes in Arizona, and other states where they were not well implemented, federal and state regulators must mandate these changes and support MOUD providers to implement them.
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