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Watson DP, Tillson M, Taylor L, Xu H, Ouyang F, Beaudoin F, O’Donnell D, McGuire AB. Results From the POINT Pragmatic Randomized Trial: An Emergency Department-Based Peer Support Specialist Intervention to Increase Opioid Use Disorder Treatment Linkage and Reduce Recurrent Overdose. SUBSTANCE USE & ADDICTION JOURNAL 2024; 45:378-389. [PMID: 38258819 PMCID: PMC11179981 DOI: 10.1177/29767342231221054] [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: 01/24/2024]
Abstract
BACKGROUND People with opioid use disorder (OUD) frequently present at the emergency department (ED), a potentially critical point for intervention and treatment linkage. Peer recovery support specialist (PRSS) interventions have expanded in US-based EDs, although evidence supporting such interventions has not been firmly established. METHODS Researchers conducted a pragmatic trial of POINT (Project Planned Outreach, Intervention, Naloxone, and Treatment), an ED-initiated intervention for harm reduction and recovery coaching/treatment linkage in 2 Indiana EDs. Cluster randomization allocated patients to the POINT intervention (n = 157) versus a control condition (n = 86). Participants completed a structured interview, and all outcomes were assessed using administrative data from an extensive state health exchange and state systems. Target patients (n = 243) presented to the ED for a possible opioid-related reason. The primary outcome was overdose-related ED re-presentation. Key secondary outcomes included OUD medication treatment linkage, duration of medication in days, all-cause ED re-presentation, all-cause inpatient re-presentation, and Medicaid enrollment. All outcomes were assessed at 3-, 6-, and 12-months post-enrollment. Ad hoc analyses were performed to assess treatment motivation and readiness. RESULTS POINT and standard care participants did not differ significantly on any outcomes measured. Participants who presented to the ED for overdose had significantly lower scores (3.5 vs 4.2, P < .01) regarding readiness to begin treatment compared to those presenting for other opioid-related issues. CONCLUSIONS This is the first randomized trial investigating overdose outcomes for an ED peer recovery support specialist intervention. Though underpowered, results suggest no benefit of PRSS services over standard care. Given the scope of PRSS, future work in this area should assess more recovery- and harm reduction-oriented outcomes, as well as the potential benefits of integrating PRSS within multimodal ED-based interventions for OUD.
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Affiliation(s)
- Dennis P. Watson
- Chestnut Health Systems, Lighthouse Institute, 221 W. Walton St., Chicago, IL 60610, USA
| | - Martha Tillson
- Center on Drug and Alcohol Research, University of Kentucky, 800 Rose St., Lexington, KY 40536, USA
| | - Lisa Taylor
- Chestnut Health Systems, Lighthouse Institute, 221 W. Walton St., Chicago, IL 60610, USA
| | - Huiping Xu
- Department of Biostatistics and Health Data Science, Indiana University School of Medicine, 340 W. 10 St., Indianapolis, IN 46202, USA
| | - Fangqian Ouyang
- Department of Biostatistics and Health Data Science, Indiana University School of Medicine, 340 W. 10 St., Indianapolis, IN 46202, USA
| | - Francesca Beaudoin
- Department of Epidemiology, Brown University School of Public Health, 121 S. Main St., Providence, RI 02903, USA
| | - Daniel O’Donnell
- Department of Emergency Medicine, Indiana University School of Medicine, 3930 Georgetown Rd., Indianapolis, IN 46254, USA
| | - Alan B. McGuire
- Department of Psychology, Indiana University Purdue University Indianapolis, 1481 W. 10 St. (11H), Indianapolis, IN, USA; Health Services Research and Development, Richard L Roudebush VAMC, 1481 W. 10 St. (11H), Indianapolis, IN, USA
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Morgan JR, Reif S, Stewart MT, Larochelle MR, Adams RS. Characterizing the Association Between Traumatic Brain Injury and Discontinuation of Medications for Opioid Use Disorder in a Commercially Insured Adult Population. J Head Trauma Rehabil 2024:00001199-990000000-00170. [PMID: 39019485 DOI: 10.1097/htr.0000000000000964] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/19/2024]
Abstract
OBJECTIVE Extending prior research that has found that people with traumatic brain injury (TBI) experience worse substance use treatment outcomes, we examined whether history of TBI was associated with discontinuation of medication to treat opioid use disorder (MOUD), an indicator of receiving evidence-based treatment. SETTING We used MarketScan claims data to capture inpatient, outpatient, and retail pharmacy utilization from large employers in all 50 states from 2016 to 2019. PARTICIPANTS We identified adults aged 18 to 64 initiating non-methadone MOUD (ie, buprenorphine, injectable naltrexone, and oral naltrexone) in 2016-2019. The exposure was whether an individual had a TBI diagnosis in the 2 years before initiating MOUD. During this period, there were 709 individuals with TBI who were then matched with 709 individuals without TBI. DESIGN We created a retrospective cohort of matched individuals with and without TBI and used quasi-experimental methods to identify the association between TBI status and MOUD use. We estimated propensity scores by TBI status and created a 1:1 matched cohort of people with and without TBI who initiated MOUD. We used a Cox proportional hazards model to identify the association between TBI and MOUD discontinuation. MAIN MEASURE The outcome was discontinuation of MOUD (ie, a gap of 14 days or more of MOUD). RESULTS Among those initiating MOUD, the majority were under 26 years of age, male, and living in an urban setting. Nearly 60% of individuals discontinued medication by 6 months. Adults with TBI had an elevated risk of MOUD discontinuation (hazard ratio [HR] 1.13; 95% confidence interval [CI], 1.01-1.27) compared to those without TBI. Additionally, initiating oral naltrexone was associated with a higher risk of discontinuation (HR 1.63; 95% CI, 1.40-1.90). CONCLUSION We found evidence of reduced MOUD retention among people with TBI. Differences in MOUD retention may reflect health care inequities, as there are no medical contraindications to using MOUD for people with TBI or other disabilities.
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Affiliation(s)
- Jake R Morgan
- Department of Health Law, Policy, and Management, Boston University School of Public Health, Boston, Massachusetts (Dr Morgan); Institute for Behavioral Health, Heller School for Social Policy and Management, Brandeis University, Waltham, Massachusetts, USA (Dr Stewart); Department of Medicine, Boston Medical Center and Boston University School of Medicine, Boston, Massachusetts, USA (Dr Larochelle); and Rocky Mountain Mental Illness Research Education and Clinical Center, Veterans Affairs, Aurora, Colorado, USA (Dr Adams)
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Goodman-Meza D, Goto M, Salimian A, Shoptaw S, Bui AAT, Gordon AJ, Goetz MB. Impact of Potential Case Misclassification by Administrative Diagnostic Codes on Outcome Assessment of Observational Study for People Who Inject Drugs. Open Forum Infect Dis 2024; 11:ofae030. [PMID: 38379573 PMCID: PMC10878055 DOI: 10.1093/ofid/ofae030] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2023] [Accepted: 01/12/2024] [Indexed: 02/22/2024] Open
Abstract
Introduction Initiation of medications for opioid use disorder (MOUD) within the hospital setting may improve outcomes for people who inject drugs (PWID) hospitalized because of an infection. Many studies used International Classification of Diseases (ICD) codes to identify PWID, although these may be misclassified and thus, inaccurate. We hypothesized that bias from misclassification of PWID using ICD codes may impact analyses of MOUD outcomes. Methods We analyzed a cohort of 36 868 cases of patients diagnosed with Staphylococcus aureus bacteremia at 124 US Veterans Health Administration hospitals between 2003 and 2014. To identify PWID, we implemented an ICD code-based algorithm and a natural language processing (NLP) algorithm for classification of admission notes. We analyzed outcomes of prescribing MOUD as an inpatient using both approaches. Our primary outcome was 365-day all-cause mortality. We fit mixed-effects Cox regression models with receipt or not of MOUD during the index hospitalization as the primary predictor and 365-day mortality as the outcome. Results NLP identified 2389 cases as PWID, whereas ICD codes identified 6804 cases as PWID. In the cohort identified by NLP, receipt of inpatient MOUD was associated with a protective effect on 365-day survival (adjusted hazard ratio, 0.48; 95% confidence interval, .29-.81; P < .01) compared with those not receiving MOUD. There was no significant effect of MOUD receipt in the cohort identified by ICD codes (adjusted hazard ratio, 1.00; 95% confidence interval, .77-1.30; P = .99). Conclusions MOUD was protective of all-cause mortality when NLP was used to identify PWID, but not significant when ICD codes were used to identify the analytic subjects.
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Affiliation(s)
- David Goodman-Meza
- Division of Infectious Diseases, David Geffen School of Medicine at UCLA, Los Angeles, California, USA
- David Geffen School of Medicine at UCLA, Los Angeles, California, USA
- Greater Los Angeles Veterans Health Administration, Los Angeles, California, USA
| | - Michihiko Goto
- University of Iowa, Iowa City, Iowa, USA
- Iowa City VA Medical Center, Iowa City, Iowa, USA
| | - Anabel Salimian
- Division of Infectious Diseases, David Geffen School of Medicine at UCLA, Los Angeles, California, USA
| | - Steven Shoptaw
- Department of Family Medicine, David Geffen School of Medicine at UCLA, Los Angeles, California, USA
| | - Alex A T Bui
- Medical & Imaging Informatics (MII) Group, Department of Radiological Sciences, UCLA, Los Angeles, California, USA
| | - Adam J Gordon
- Informatics, Decision-Enhancement, and Analytic Sciences (IDEAS) Center, VA Salt Lake City Health Care System, Salt Lake City, Utah, USA
- 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, Utah, USA
| | - Matthew B Goetz
- David Geffen School of Medicine at UCLA, Los Angeles, California, USA
- Greater Los Angeles Veterans Health Administration, Los Angeles, California, USA
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Morgan JR, Assoumou SA. The limits of innovation: Directly addressing known challenges is necessary to improve the real-world experience of novel medications for opioid use disorder. Acad Emerg Med 2023; 30:1285-1287. [PMID: 37793818 PMCID: PMC10841521 DOI: 10.1111/acem.14814] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2023] [Revised: 09/13/2023] [Accepted: 09/30/2023] [Indexed: 10/06/2023]
Affiliation(s)
- Jake R. Morgan
- Department of Health Law, Policy, and Management, Boston University School of Public Health, Boston, MA, USA
| | - Sabrina A. Assoumou
- Department of Medicine, Boston Medical Center and Boston University Chobanian and Avedisian School of Medicine, Boston, MA, USA
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Mutter R, Spencer D, McPheeters J. Outcomes Associated with Treatment with and Without Medications for Opioid Use Disorder. J Behav Health Serv Res 2023; 50:524-539. [PMID: 37311970 DOI: 10.1007/s11414-023-09841-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 04/16/2023] [Indexed: 06/15/2023]
Abstract
There is limited research on outcomes for patients who start treatment for opioid use disorder (OUD) with only psychosocial treatment compared to those who initiate treatment with either medications for OUD (MOUD) or the combination of psychosocial treatment and MOUD. Cox proportional hazards regression was used on a database of individuals with commercial health insurance or Medicare Advantage to estimate the associations of treatment type with opioid overdose and self-harm (separately). Logistic regression was used to estimate the association of treatment type with prescription opioid fill following treatment initiation. Relative to patients who initiated treatment with only psychosocial treatment, patients who also initiated treatment with MOUD had lower risk of having an overdose inpatient or emergency department (ED) encounter, a self-harm inpatient or ED encounter, and a prescription opioid filled following treatment initiation. Starting treatment with MOUD was associated with better patient outcomes than initiating treatment with only psychosocial treatment.
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Affiliation(s)
- Ryan Mutter
- Health Analysis Division, Congressional Budget Office, 441 D St SW, Washington, DC, 20515, USA
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Powell VD, Macleod C, Sussman J, Lin LA, Bohnert ASB, Lagisetty P. Variation in Clinical Characteristics and Longitudinal Outcomes in Individuals with Opioid Use Disorder Diagnosis Codes. J Gen Intern Med 2023; 38:699-706. [PMID: 35819683 PMCID: PMC9971398 DOI: 10.1007/s11606-022-07732-w] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/03/2022] [Accepted: 06/28/2022] [Indexed: 01/30/2023]
Abstract
BACKGROUND Patterns of opioid use vary, including prescribed use without aberrancy, limited aberrant use, and potential opioid use disorder (OUD). In clinical practice, similar opioid-related International Classification of Disease (ICD) codes are applied across this spectrum, limiting understanding of how groups vary by sociodemographic factors, comorbidities, and long-term risks. OBJECTIVE (1) Examine how Veterans assigned opioid abuse/dependence ICD codes vary at diagnosis and with respect to long-term risks. (2) Determine whether those with limited aberrant use share more similarities to likely OUD vs those using opioids as prescribed. DESIGN Longitudinal observational cohort study. PARTICIPANTS National sample of Veterans categorized as having (1) likely OUD, (2) limited aberrant opioid use, or (3) prescribed, non-aberrant use based upon enhanced medical chart review. MAIN MEASURES Comparison of sociodemographic and clinical factors at diagnosis and rates of age-adjusted mortality, non-fatal opioid overdose, and hospitalization after diagnosis. An exploratory machine learning analysis investigated how closely those with limited aberrant use resembled those with likely OUD. KEY RESULTS Veterans (n = 483) were categorized as likely OUD (62.1%), limited aberrant use (17.8%), and prescribed, non-aberrant use (20.1%). Age, proportion experiencing homelessness, chronic pain, anxiety disorders, and non-opioid substance use disorders differed by group. All-cause mortality was high (44.2 per 1000 person-years (95% CI 33.9, 56.7)). Hospitalization rates per 1000 person-years were highest in the likely OUD group (831.5 (95% CI 771.0, 895.5)), compared to limited aberrant use (739.8 (95% CI 637.1, 854.4)) and prescribed, non-aberrant use (411.9 (95% CI 342.6, 490.4). The exploratory analysis reclassified 29.1% of those with limited aberrant use as having likely OUD with high confidence. CONCLUSIONS Veterans assigned opioid abuse/dependence ICD codes are heterogeneous and face variable long-term risks. Limited aberrant use confers increased risk compared to no aberrant use, and some may already have OUD. Findings warrant future investigation of this understudied population.
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Affiliation(s)
- Victoria D Powell
- Palliative Care Program, Division of Geriatric and Palliative Medicine, University of Michigan, Ann Arbor, MI, USA.
- Geriatrics Research, Education, and Clinical Center, LTC Charles S. Kettles VA Medical Center, Ann Arbor, MI, USA.
| | - Colin Macleod
- Division of General Medicine, Department of Internal Medicine, University of Michigan, Ann Arbor, MI, USA
| | - Jeremy Sussman
- Division of General Medicine, 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
| | - Lewei A Lin
- VA Center for Clinical Management Research (CCMR), VA Ann Arbor Healthcare System, Ann Arbor, MI, USA
- Addiction Center, Department of Psychiatry, University of Michigan, Ann Arbor, MI, USA
| | - Amy S B Bohnert
- VA Center for Clinical Management Research (CCMR), VA Ann Arbor Healthcare System, Ann Arbor, MI, USA
- Department of Anesthesiology, University of Michigan, Ann Arbor, MI, USA
| | - Pooja Lagisetty
- Division of General Medicine, 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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Luo Z, Roychoudhury C, Pompos WS, DiMaria J, Robinette CM, Gore PH, Roychoudhury R, Beecroft W. Prevention of 90-day inpatient detoxification readmission for opioid use disorder by a community-based life-changing individualized medically assisted evidence-based treatment (C.L.I.M.B.) program: A quasi-experimental study. PLoS One 2022; 17:e0278208. [PMID: 36520863 PMCID: PMC9754176 DOI: 10.1371/journal.pone.0278208] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2022] [Accepted: 11/12/2022] [Indexed: 12/23/2022] Open
Abstract
BACKGROUND Evidence for community-based strategies to reduce inpatient detoxification readmission for opioid use disorder (OUD) is scant. A pilot program was designed to provide individualized structured treatment plans, including addressing prolonged withdrawal symptoms, family/systems assessment, and contingency management, to reduce readmission after the index inpatient detoxification. METHODS A non-randomized quasi-experimental design was used to compare the pilot facilities (treatment) and comparison facilities before and after the program started, i.e., a simple difference-in-differences (DID) strategy. Adults 18 years and older who met the Diagnostic and Statistical Manual of Mental Disorders version 5 criteria for OUD and had an inpatient detoxification admission at any OUD treatment facility in two study periods between 7/2016 and 3/2020 were included. Readmission for inpatient detoxification in 90-days after the index stay was the primary outcome, and partial hospitalization, intensive outpatient care, outpatient services, and medications for OUD were the secondary outcomes. Six statistical estimation methods were used to triangulate evidence and adjust for potential confounding factors between treatment and comparison groups. RESULTS A total of 2,320 unique patients in the pilot and comparison facilities with 2,443 index inpatient detoxification admissions in the pre- and post-periods were included. Compared with patients in comparison facilities, patients in the C.L.I.M.B. facilities had higher readmission in the pre-period (unadjusted readmission 17.0% vs. 10.6%), but similar rates in the post-period (12.3% vs. 10.6%) after the implementation of the pilot program. For 90-day readmission, all DID estimates were not statistically significant (adjusted estimates ranged from 6 to 9 percentage points difference favoring the C.L.I.M.B. program). There was no significant improvement in the secondary outcomes of utilizations in lower level of care and medications for OUD in C.L.I.M.B. facilities. CONCLUSIONS We found a reduction in readmission in the pilot facilities between the two periods, but the results were not statistically significant compared with the comparison facilities and the utilization of lower level of care services remained low. Even though providers in the pilot OUD treatment facilities actively worked with health plans to standardize care for patients with OUD, more strategies are needed to improve treatment engagement and retention after an inpatient detoxification.
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Affiliation(s)
- Zhehui Luo
- Department of Epidemiology and Biostatistics, Michigan State University, East Lansing, Michigan, United States of America
- * E-mail:
| | - Canopy Roychoudhury
- Health Care Value Business Analytics Services, Blue Cross Blue Shield of Michigan, Detroit, Michigan, United States of America
| | - William S. Pompos
- Behavioral Health Strategy & Planning, Blue Cross Blue Shield of Michigan, Detroit, Michigan, United States of America
| | - James DiMaria
- Health Care Value Business Analytics Services, Blue Cross Blue Shield of Michigan, Detroit, Michigan, United States of America
| | - Cynthia M. Robinette
- Health Care Value Business Analytics Services, Blue Cross Blue Shield of Michigan, Detroit, Michigan, United States of America
| | - Purva H. Gore
- Health Care Value Business Analytics Services, Blue Cross Blue Shield of Michigan, Detroit, Michigan, United States of America
| | - Rohon Roychoudhury
- College of Osteopathic Medicine, Michigan State University, East Lansing, Michigan, United States of America
| | - William Beecroft
- Behavioral Health Strategy & Planning, Blue Cross Blue Shield of Michigan, Detroit, Michigan, United States of America
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Tassey TE, Ott GE, Alvanzo AAH, Peirce JM, Antoine D, Buresh ME. OUD MEETS: A novel program to increase initiation of medications for opioid use disorder and improve outcomes for hospitalized patients being discharged to skilled nursing facilities. J Subst Abuse Treat 2022; 143:108895. [PMID: 36215913 DOI: 10.1016/j.jsat.2022.108895] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2022] [Revised: 08/09/2022] [Accepted: 09/20/2022] [Indexed: 01/04/2023]
Abstract
INTRODUCTION Rates of hospitalizations from medical complications of opioid use disorder (OUD) are rising and many of these patients require post-acute care at skilled nursing facilities (SNFs). However, access to medication for OUD (MOUD) at SNFs remains low and patients with OUD have high rates of patient-directed discharge (PDD) and hospital readmissions. METHODS Opioid Use Disorder Medical Patient Engagement, Enrollment in treatment and Transitional Supports (OUD MEETS) program was a clinical pilot designed to increase initiation of buprenorphine and methadone for hospitalized patients with OUD requiring post-acute care. The program comprises a hospital partnership with two SNFs and two opioid treatment programs (OTPs) to improve recovery supports and access to MOUD for patients discharged to SNF. RESULTS Between August 2019 and August 2020, study staff approached 49 hospitalized patients with OUD for participation in OUD MEETS. Twenty-eight of 30 eligible patients enrolled in the program and initiated buprenorphine or methadone. Twenty-seven (96 %) enrolled patients successfully completed hospital treatment. Twenty-three (85 %) patients successfully completed medical treatment at SNF. Thirteen (46 %) enrolled patients had confirmed linkage to OUD treatment post-SNF. One patient left the hospital (4 %) and four patients left SNF (15 %) via PDD. CONCLUSION OUD MEETS demonstrates feasibility of hospital, SNF, and OTP partnership to integrate MOUD treatment into SNFs, with high rates of completion of medical treatment and low rates of PDD. Future research should find sustainable ways to improve access to MOUD at post-acute care facilities, including through regulatory and policy changes.
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Affiliation(s)
- Theresa E Tassey
- Behavioral Health Systems Baltimore, Baltimore, MD, United States of America
| | - Geoffrey E Ott
- Department of Psychiatry, University of Maryland School of Medicine, Baltimore, MD, United States of America
| | - Anika A H Alvanzo
- Division of Addiction Medicine, Johns Hopkins School of Medicine, Baltimore, MD, United States of America; Division of General Internal Medicine, Johns Hopkins School of Medicine, Baltimore, MD, United States of America
| | - Jessica M Peirce
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins School of Medicine, Baltimore, MD, United States of America
| | - Denis Antoine
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins School of Medicine, Baltimore, MD, United States of America
| | - Megan E Buresh
- Division of Addiction Medicine, Johns Hopkins School of Medicine, Baltimore, MD, United States of America; Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States of America.
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David AR, Sian CR, Gebel CM, Linas BP, Samet JH, Sprague Martinez LS, Muroff J, Bernstein JA, Assoumou SA. Barriers to accessing treatment for substance use after inpatient managed withdrawal (Detox): A qualitative study. J Subst Abuse Treat 2022; 142:108870. [PMID: 36084559 PMCID: PMC10084712 DOI: 10.1016/j.jsat.2022.108870] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2021] [Revised: 07/19/2022] [Accepted: 08/24/2022] [Indexed: 12/14/2022]
Abstract
INTRODUCTION Access to and uptake of evidence-based treatment for substance use disorder, specifically opioid use disorder (OUD), are limited despite the high death toll from drug overdose in the United States in recent years. Patient perceived barriers to evidence-based treatment after completion of short-term inpatient medically managed withdrawal programs (detox) have not been well studied. The purpose of the current study is to elicit patients' perspectives on challenges to transition to treatment, including medications for OUD (MOUD), after detox and potential solutions. METHODS We conducted semi-structured interviews (N = 24) at a detox center (2018-2019) to explore patients' perspectives on obstacles to treatment. The study managed the data in NVivo and we used content analysis to identify themes. RESULTS Patients' characteristics included the following: 54 % male; mean age 37 years; self-identified as White 67 %, Black 13 %, Latinx 8 %, Native Hawaiian/Pacific Islander 4 %, and other 8 %; heroin use in the past 3 months 67 %; and ever injecting drugs 71 %. Patients identified the following barriers: 1) lack of continuity of care; 2) limited number of detox and residential treatment program beds; 3) unstable housing; and 4) lack of options when choosing a treatment pathway. Solutions proposed by participants included: 1) increase low-barrier access to community MOUD; 2) add case managers at the detox center to establish continuity of care after discharge; 3) increase assistance with housing; and 4) encourage patient participation in treatment decisions. CONCLUSIONS Patients identified lack of continuity of care, especially care coordination, as a major barrier to substance use treatment. Increasing treatment utilization, including MOUD, necessitates a multimodal approach to continuity of care, low-barrier access to MOUD, and support to address unstable housing. Patients want care that incorporates options and respect for. individualized preferences and needs.
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Affiliation(s)
- Allison R David
- Department of Medicine, Boston Medical Center, 72 East Concord Street, Evans 124, Boston, MA 02118, United States of America.
| | - Carlos R Sian
- Section of Infectious Diseases, Boston Medical Center, 801 Massachusetts Ave., Crosstown Center, 2nd Floor, Boston, MA 02118, United States of America.
| | - Christina M Gebel
- Boston University School of Public Health, 801 Massachusetts Ave., Crosstown Center, Boston, MA 02118, United States of America
| | - Benjamin P Linas
- Section of Infectious Diseases, Boston Medical Center, 801 Massachusetts Ave., Crosstown Center, 2nd Floor, Boston, MA 02118, United States of America; Boston University School of Public Health, 801 Massachusetts Ave., Crosstown Center, Boston, MA 02118, United States of America; Boston University School of Medicine, 801 Massachusetts Ave., Crosstown Center, 2(nd) Floor, Boston, MA 02118, United States of America.
| | - Jeffrey H Samet
- Department of Medicine, Boston Medical Center, 72 East Concord Street, Evans 124, Boston, MA 02118, United States of America; Boston University School of Public Health, 801 Massachusetts Ave., Crosstown Center, Boston, MA 02118, United States of America.
| | - Linda S Sprague Martinez
- Boston University School of Social Work, 264 Bay State Road, Boston, MA 02215, United States of America.
| | - Jordana Muroff
- Boston University School of Social Work, 264 Bay State Road, Boston, MA 02215, United States of America.
| | - Judith A Bernstein
- Boston University School of Public Health, 801 Massachusetts Ave., Crosstown Center, Boston, MA 02118, United States of America.
| | - Sabrina A Assoumou
- Section of Infectious Diseases, Boston Medical Center, 801 Massachusetts Ave., Crosstown Center, 2nd Floor, Boston, MA 02118, United States of America; Boston University School of Medicine, 801 Massachusetts Ave., Crosstown Center, 2(nd) Floor, Boston, MA 02118, United States of America.
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Savinkina A, Madushani RWMA, Yazdi GE, Wang J, Barocas JA, Morgan JR, Assoumou SA, Walley AY, Linas BP, Murphy SM. Population-level impact of initiating pharmacotherapy and linking to care people with opioid use disorder at inpatient medically managed withdrawal programs: an effectiveness and cost-effectiveness analysis. Addiction 2022; 117:2450-2461. [PMID: 35315162 PMCID: PMC9377514 DOI: 10.1111/add.15879] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/07/2021] [Accepted: 03/04/2022] [Indexed: 11/29/2022]
Abstract
BACKGROUND AND AIMS Medications for opioid use disorder (MOUD) are shown to reduce opioid use and the risk of overdose. People with opioid use disorder (OUD) who exit inpatient medically managed withdrawal programs (detox) without initiating MOUD and linking to outpatient care have high rates of overdose. While detox encounters provide a theoretical opportunity for MOUD initiation, this is not ubiquitous in the United States. We used simulation modeling to estimate the population-level health effects and cost-effectiveness of a policy encouraging MOUD initiation during inpatient detox encounters. DESIGN, SETTING AND PARTICIPANTS We employed a dynamic population state-transition model to evaluate the effectiveness and cost-effectiveness of using detox programs as venues for initiating MOUD in Massachusetts, United States. We compared standard of care, where no detox patients initiate MOUD or link to outpatient MOUD providers, to strategies of offering MOUD to detox patients and linking those patients to outpatient MOUD. MEASURES Budgetary impact to the Massachusetts health-care sector, incremental cost-effectiveness ratios (ICER) and total counts and percentage differences of fatal overdoses prevented. FINDINGS Initiating MOUD in detox with perfect linkage to outpatient MOUD would reduce fatal overdoses by 4.5% [95% confidence interval (CI) = 2.3-5.9], at an ICER of $56 000 per quality-adjusted life-year (QALY) gained, compared with the standard of care. With moderate linkage, fatal overdoses would be reduced by 2.3% (95% CI= 1.2-3.1) with an ICER of $78 500 per QALY gained, compared with standard of care. Budgetary increase to Massachusetts health-care spending ranged from 0.5-1%. CONCLUSION A simulation model indicates that initiation of medications for opioid use disorder and linkage policies among detox patients in Massachusetts, USA could prevent fatal opioid overdoses in the opioid use disorder population and would be cost-effective from a health-care sector perspective.
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Affiliation(s)
- Alexandra Savinkina
- Section of Infectious Diseases, Boston Medical Center (BMC), 801 Massachusetts Ave, 2 Floor, Boston, MA, USA, 02118
| | - R. W. M. A. Madushani
- Section of Infectious Diseases, Boston Medical Center (BMC), 801 Massachusetts Ave, 2 Floor, Boston, MA, USA, 02118
| | - Golnaz Eftekhari Yazdi
- Section of Infectious Diseases, Boston Medical Center (BMC), 801 Massachusetts Ave, 2 Floor, Boston, MA, USA, 02118
| | - Jianing Wang
- Section of Infectious Diseases, Boston Medical Center (BMC), 801 Massachusetts Ave, 2 Floor, Boston, MA, USA, 02118
| | - Joshua A. Barocas
- Section of Infectious Diseases, Boston Medical Center (BMC), 801 Massachusetts Ave, 2 Floor, Boston, MA, USA, 02118
- Boston University School of Medicine (BUSM), 801 Massachusetts Ave, 2 Floor, Boston, MA, USA, 02118
| | - Jake R. Morgan
- Boston University School of Public Health, 715 Albany St, Boston, MA 02118
| | - Sabrina A. Assoumou
- Section of Infectious Diseases, Boston Medical Center (BMC), 801 Massachusetts Ave, 2 Floor, Boston, MA, USA, 02118
- Boston University School of Medicine (BUSM), 801 Massachusetts Ave, 2 Floor, Boston, MA, USA, 02118
| | - Alexander Y. Walley
- Clinical Addiction Research and Education (CARE) Unit, Section of General Internal Medicine, Department of Medicine, Boston University School of Medicine and Grayken Center for Addiction at Boston Medical Center, Boston, MA, USA, 02118
| | - Benjamin P. Linas
- Section of Infectious Diseases, Boston Medical Center (BMC), 801 Massachusetts Ave, 2 Floor, Boston, MA, USA, 02118
- Boston University School of Medicine (BUSM), 801 Massachusetts Ave, 2 Floor, Boston, MA, USA, 02118
| | - Sean M. Murphy
- Department of Population Health Sciences, Weill Cornell Medical College, 425 East 61st Street, Suite 301, New York, NY 10065
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11
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Morgan JR, Freibott CE, Jalali A, Jeng PJ, Walley AY, Chatterjee A, Green TC, Nolan ML, Linas BP, Marshall BD, Murphy SM. The role of increasing pharmacy and community distributed naloxone in the opioid overdose epidemic in Massachusetts, Rhode Island, and New York City. DRUG AND ALCOHOL DEPENDENCE REPORTS 2022; 4:100083. [PMID: 36337350 PMCID: PMC9631422 DOI: 10.1016/j.dadr.2022.100083] [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] [Indexed: 11/30/2022]
Abstract
Background Naloxone distributed to people at risk for opioid overdose has been associated with reduced overdose death rates; however, associations of retail pharmacy-distributed naloxone with overdose mortality have not been evaluated. Methods Our analytic cohort uses retail pharmacy claims data; three health departments' community distribution data; federal opioid overdose data; and American Community Survey data. Data were analyzed by 3-digit ZIP Code and calendar quarter-year (2016Q1-2018Q4), and weighted by population. We regressed opioid-related overdose mortality on retail-pharmacy and community naloxone distribution, and community-level demographics using a linear model, hypothesizing that areas with high overdose rates would have higher current levels of naloxone distribution but that increasing naloxone distribution from one quarter to the next would be associated with lower overdose. Results From Q1-2016 to Q4-2018, the unadjusted naloxone distribution rate increased from 97 to 257 kits per 100,000 persons, while the unadjusted opioid overdose mortality rate fell from 8.1 to 7.2 per 100,000 persons. The concurrent level of naloxone distribution (both pharmacy and community) was positively and significantly associated with fatal opioid overdose rates. We did not detect associations between change in naloxone distribution rates and overdose mortality. Conclusion Naloxone distribution volumes were correlated with fatal opioid overdose, suggesting medication was getting to communities where it was needed most. Amid high rates of overdose driven by fentanyl in the drug supply, our findings suggest additional prevention, treatment, and harm reduction interventions are required-and dramatically higher naloxone volumes needed-to reverse the opioid overdose crisis in the US.
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Affiliation(s)
- Jake R. Morgan
- Department of Health Law, Policy, and Management, Boston University School of Public Health, Boston, MA, United States of America
- Corresponding author.
| | - Christina E. Freibott
- Department of Health Law, Policy, and Management, Boston University School of Public Health, Boston, MA, United States of America
| | - Ali Jalali
- Department of Population Health Sciences, Weill Cornell Medical College, New York, NY, United States of America
| | - Philip J. Jeng
- Department of Population Health Sciences, Weill Cornell Medical College, New York, NY, United States of America
| | - Alexander Y. Walley
- Grayken Center for Addiction, Clinical Addiction Research and Education Unit, Section of General Internal Medicine, Department of Medicine, Boston Medical Center and Boston University School of Medicine, Boston, MA, United States of America
| | - Avik Chatterjee
- Grayken Center for Addiction, Clinical Addiction Research and Education Unit, Section of General Internal Medicine, Department of Medicine, Boston Medical Center and Boston University School of Medicine, Boston, MA, United States of America
| | - Traci C. Green
- Brandeis University Heller School for Social Policy and Management, Rhode Island Hospital, RI, United States of America
- Brown University School of Public Health, Department of Epidemiology, RI, United States of America
- COBRE on Opioids and Overdose, Rhode Island Hospital, RI, United States of America
| | - Michelle L. Nolan
- Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY, United States of America
| | - Benjamin P. Linas
- Grayken Center for Addiction, Clinical Addiction Research and Education Unit, Section of General Internal Medicine, Department of Medicine, Boston Medical Center and Boston University School of Medicine, Boston, MA, United States of America
- Department of Epidemiology, Boston University School of Public Health, Boston, MA, United States of America
| | - Brandon D.L. Marshall
- Brown University School of Public Health, Department of Epidemiology, RI, United States of America
- COBRE on Opioids and Overdose, Rhode Island Hospital, RI, United States of America
| | - Sean M. Murphy
- Department of Population Health Sciences, Weill Cornell Medical College, New York, NY, United States of America
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12
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Hartung DM, Markwardt S, Johnston K, Geddes J, Baker R, Leichtling G, Hildebran C, Chan B, Cook RR, McCarty D, Ghitza U, Korthuis PT. Association between treatment setting and outcomes among oregon medicaid patients with opioid use disorder: a retrospective cohort study. Addict Sci Clin Pract 2022; 17:45. [PMID: 35986384 PMCID: PMC9389731 DOI: 10.1186/s13722-022-00318-1] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2021] [Accepted: 07/01/2022] [Indexed: 11/24/2022] Open
Abstract
BACKGROUND Residential treatment is a common approach for treating opioid use disorder (OUD), however, few studies have directly compared it to outpatient treatment. The objective of this study was to compare OUD outcomes among individuals receiving residential and outpatient treatment. METHODS A retrospective cohort study used linked data from a state Medicaid program, vital statistics, and the Substance Abuse and Mental Health Services Administration (SAMHSA) Treatment Episodes Dataset (TEDS) to compare OUD-related health outcomes among individuals treated in a residential or outpatient setting between 2014 and 2017. Multivariable Cox proportional hazards and logistic regression models examined the association between treatment setting and outcomes (i.e., opioid overdose, non-overdose opioid-related and all-cause emergency department (ED) visits, hospital admissions, and treatment retention) controlling for patient characteristics, co-morbidities, and use of medications for opioid use disorders (MOUD). Interaction models evaluated how MOUD use modified associations between treatment setting and outcomes. RESULTS Of 3293 individuals treated for OUD, 957 (29%) received treatment in a residential facility. MOUD use was higher among those treated as an outpatient (43%) compared to residential (19%). The risk of opioid overdose (aHR 1.39; 95% CI 0.73-2.64) or an opioid-related emergency department encounter or admission (aHR 1.02; 95% CI 0.80-1.29) did not differ between treatment settings. Independent of setting, MOUD use was associated with a significant reduction in overdose risk (aHR 0.45; 95% CI 0.23-0.89). Residential care was associated with greater odds of retention at 6-months (aOR 1.71; 95% CI 1.32-2.21) but not 1-year. Residential treatment was only associated with improved retention for individuals not receiving MOUD (6-month aOR 2.05; 95% CI 1.56-2.71) with no benefit observed in those who received MOUD (aOR 0.75; 95% CI 0.46-1.29; interaction p = 0.001). CONCLUSIONS Relative to outpatient treatment, residential treatment was not associated with reductions in opioid overdose or opioid-related ED encounters/hospitalizations. Regardless of setting, MOUD use was associated with a significant reduction in opioid overdose risk.
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Affiliation(s)
- Daniel M Hartung
- Oregon State University College of Pharmacy, Portland, OR, USA.
- College of Pharmacy, Oregon State University @ Oregon Health & Science University, Robertson Collaborative Life Sciences Building (RLSB), 2730 S Moody Ave., CL5CP, Portland, OR, 97201-5042, USA.
| | - Sheila Markwardt
- Oregon Health & Science University, Biostatistics and Design Program, Portland, OR, USA
| | - Kirbee Johnston
- Oregon State University College of Pharmacy, Portland, OR, USA
| | - Jonah Geddes
- PSU-OHSU School of Public Health, Portland, OR, USA
| | - Robin Baker
- PSU-OHSU School of Public Health, Portland, OR, USA
| | | | | | - Brian Chan
- Oregon Health & Science University, Section of Addiction Medicine, Portland, OR, USA
| | - Ryan R Cook
- Oregon Health & Science University, Section of Addiction Medicine, Portland, OR, USA
| | | | - Udi Ghitza
- National Institute On Drug Abuse (NIDA), Center for the Clinical Trials Network (CCTN), Bethesda, ML, USA
| | - P Todd Korthuis
- PSU-OHSU School of Public Health, Portland, OR, USA
- Oregon Health & Science University, Section of Addiction Medicine, Portland, OR, USA
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Abstract
This paper is the forty-third consecutive installment of the annual anthological review of research concerning the endogenous opioid system, summarizing articles published during 2020 that studied the behavioral effects of molecular, pharmacological and genetic manipulation of opioid peptides and receptors as well as effects of opioid/opiate agonists and antagonists. The review is subdivided into the following specific topics: molecular-biochemical effects and neurochemical localization studies of endogenous opioids and their receptors (1), the roles of these opioid peptides and receptors in pain and analgesia in animals (2) and humans (3), opioid-sensitive and opioid-insensitive effects of nonopioid analgesics (4), opioid peptide and receptor involvement in tolerance and dependence (5), stress and social status (6), learning and memory (7), eating and drinking (8), drug abuse and alcohol (9), sexual activity and hormones, pregnancy, development and endocrinology (10), mental illness and mood (11), seizures and neurologic disorders (12), electrical-related activity and neurophysiology (13), general activity and locomotion (14), gastrointestinal, renal and hepatic functions (15), cardiovascular responses (16), respiration and thermoregulation (17), and immunological responses (18).
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Affiliation(s)
- Richard J Bodnar
- Department of Psychology and Neuropsychology Doctoral Sub-Program, Queens College, City University of New York, Flushing, NY, 11367, United States.
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14
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Morgan JR, Quinn EK, Chaisson CE, Ciemins E, Stempniewicz N, White LF, Linas BP, Walley AY, LaRochelle MR. Variation in Initiation, Engagement, and Retention on Medications for Opioid Use Disorder Based on Health Insurance Plan Design. Med Care 2022; 60:256-263. [PMID: 35026792 PMCID: PMC8852217 DOI: 10.1097/mlr.0000000000001689] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
BACKGROUND The association between cost-sharing and receipt of medication for opioid use disorder (MOUD) is unknown. METHODS We constructed a cohort of 10,513 commercially insured individuals with a new diagnosis of opioid use disorder and information on insurance cost-sharing in a large national deidentified claims database. We examined 4 cost-sharing measures: (1) pharmacy deductible; (2) medical service deductible; (3) pharmacy medication copay; and (4) medical office copay. We measured MOUD (naltrexone, buprenorphine, or methadone) initiation (within 14 d of diagnosis), engagement (second receipt within 34 d of first), and 6-month retention (continuous receipt without 14-d gap). We used multivariable logistic regression to assess the association between cost-sharing and MOUD initiation, engagement, and retention. We calculated total out-of-pocket costs in the 30 days following MOUD initiation for each type of MOUD. RESULTS Of 10,513 individuals with incident opioid use disorder, 1202 (11%) initiated MOUD, 742 (7%) engaged, and 253 (2%) were retained in MOUD at 6 months. A high ($1000+) medical deductible was associated with a lower odds of initiation compared with no deductible (odds ratio: 0.85, 95% confidence interval: 0.74-0.98). We found no significant associations between other cost-sharing measures for initiation, engagement, or retention. Median initial 30-day out-of-pocket costs ranged from $100 for methadone to $710 for extended-release naltrexone. CONCLUSIONS Among insurance plan cost-sharing measures, only medical services deductible showed an association with decreased MOUD initiation. Policy and benefit design should consider ways to reduce cost barriers to initiation and retention in MOUD.
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Affiliation(s)
- Jake R Morgan
- Department of Health Law, Policy, and Management, Boston University School of Public Health, Boston, MA
- OptumLabs Visiting Scholar, OptumLabs, Eden Prairie, MN
| | - Emily K Quinn
- Biostatistics and Epidemiology Data Analytics Center, Boston University School of Public Health, Boston, MA
| | | | | | | | | | - Benjamin P Linas
- Epidemiology, Boston University School of Public Health
- Department of Medicine, Boston Medical Center and Boston University School of Medicine, Boston, MA
| | - Alexander Y Walley
- Department of Medicine, Boston Medical Center and Boston University School of Medicine, Boston, MA
| | - Marc R LaRochelle
- Department of Medicine, Boston Medical Center and Boston University School of Medicine, Boston, MA
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15
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Morgan JR, Walley AY, Murphy SM, Chatterjee A, Hadland SE, Barocas J, Linas BP, Assoumou SA. Characterizing initiation, use, and discontinuation of extended-release buprenorphine in a nationally representative United States commercially insured cohort. Drug Alcohol Depend 2021; 225:108764. [PMID: 34051547 PMCID: PMC8488795 DOI: 10.1016/j.drugalcdep.2021.108764] [Citation(s) in RCA: 22] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/27/2021] [Revised: 03/23/2021] [Accepted: 04/10/2021] [Indexed: 10/21/2022]
Abstract
BACKGROUND AND AIMS While the United States is in the midst of an overdose epidemic, effective treatments are underutilized and commonly discontinued. Innovations in medication delivery, including an extended-release formulations, have the potential to improve treatment access and reduce discontinuation. We sought to assess extended-release buprenorphine discontinuation among individuals with opioid use disorder (OUD) in a real-world, nationally representative cohort. SETTING United States PARTICIPANTS: Commercially insured individuals initiating one of four FDA-approved medications for opioid use disorder (MOUD) in 2018: extended-release buprenorphine, extended-release naltrexone, mucosal buprenorphine (mono- or co-formulated with naloxone), or methadone. MEASUREMENTS Our primary outcome was medication discontinuation, defined as a gap of more than 14 days between the end of one prescription or administration and the subsequent dose. FINDINGS We identified 14,358 individuals initiating MOUD in 2018, including 204 (1%) extended-release buprenorphine, 1,173 (8%) extended-release naltrexone, 12,171 (85%) mucosal buprenorphine, and 810 (6%) methadone initiations. Three months after initiation, 50% (95% confidence interval [CI] 40%-60%) of extended-release buprenorphine, 64% (95% CI 61%-69%) of extended-release naltrexone, 34% (95% CI 33%-35%) of mucosal buprenorphine, and 58% (95% CI 54%-62%) of methadone initiators had discontinued treatment. CONCLUSIONS Across all treatment groups, medication discontinuation was high, and in this sample of early adopters with limited follow-up time, we found no evidence that extended-release buprenorphine offered a retention advantage compared to other MOUD in real-world settings. Retention continues to represent a major obstacle to treatment effectiveness, and interventions are needed to address this challenge even as new MOUD formulations become available.
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Affiliation(s)
- Jake R Morgan
- Department of Health Law, Policy, and Management, Boston University School of Public Health, Boston, MA, USA.
| | - Alexander Y Walley
- Grayken Center for Addiction, Clinical Addiction Research and Education Unit, Section of General Internal Medicine, Department of Medicine, Boston Medical Center and Boston University School of Medicine, Boston, MA, USA
| | - Sean M Murphy
- Department of Population Health Sciences, Weill Cornell Medical College, New York, NY, USA
| | - Avik Chatterjee
- Grayken Center for Addiction, Clinical Addiction Research and Education Unit, Section of General Internal Medicine, Department of Medicine, Boston Medical Center and Boston University School of Medicine, Boston, MA, USA
| | - Scott E Hadland
- Grayken Center for Addiction, Division of General Pediatrics, Department of Medicine, Boston Medical Center, Boston, MA, USA; Division of General Pediatrics, Department of Pediatrics, Boston University School of Medicine, Boston, MA, USA
| | - Joshua Barocas
- Grayken Center for Addiction, Clinical Addiction Research and Education Unit, Section of General Internal Medicine, Department of Medicine, Boston Medical Center and Boston University School of Medicine, Boston, MA, USA
| | - Benjamin P Linas
- Grayken Center for Addiction, Clinical Addiction Research and Education Unit, Section of General Internal Medicine, Department of Medicine, Boston Medical Center and Boston University School of Medicine, Boston, MA, USA; Department of Epidemiology, Boston University School of Public Health, Boston, MA, USA
| | - Sabrina A Assoumou
- Department of Medicine, Section of Infectious Diseases, Boston University School of Medicine, Boston, MA, USA
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16
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Neighbors CJ, Hussain S, O'Grady M, Manseau M, Choi S, Hu X, Burke C, Lincourt P. Predictive validity of the New York State Level of Care for Alcohol and Drug Treatment Referral (LOCADTR) for continuous engagement in treatment among individuals recommended for outpatient care. J Subst Abuse Treat 2021; 131:108559. [PMID: 34272131 DOI: 10.1016/j.jsat.2021.108559] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2021] [Revised: 05/26/2021] [Accepted: 07/04/2021] [Indexed: 11/25/2022]
Abstract
BACKGROUND The New York State (NYS) Level of Care for Alcohol and Drug Treatment Referral (LOCADTR) was launched in 2015 to determine the most appropriate level of care for individuals seeking addiction treatment. However, research has not studied its predictive validity. We examined the predictive validity of the LOCADTR recommendation for outpatient treatment by determining whether those who entered a level of care (LOC) concordant with the LOCADTR recommendation differed in continuous engagement in treatment compared to those who entered a discordant LOC. METHODS The study combined data from two NYS administrative sources, the LOCADTR database and a treatment registry. The study examined characteristics of the clients who entered concordant and discordant LOCs as well as tested for differences in continuous engagement of clients who entered discordant care compared to a propensity score-matched comparison group of clients who entered the concordant LOC. RESULTS Among clients for whom the LOCADTR recommended the outpatient LOC, concordant clients who entered the outpatient LOC were more likely to be retained in care than discordant clients who entered the inpatient LOC (aOR = 0.53; 95% CI = 0.36, 0.77). We did not observe statistical differences in continuous engagement among clients who were recommended for outpatient and entered that LOC versus those who entered the outpatient rehabilitation LOC instead (aOR = 1.08; 95% CI = 0.90, 1.30). CONCLUSION This study provides support for predictive validity of recommendations stemming from the LOCADTR. Clients, treatment providers, and payers benefited from a tool that provides clear guidance and predictively valid recommendations for treatment placement. The study found that clients were more likely to be retained in treatment for 6 months or longer if admitted to outpatient care, as recommended by the LOCADTR algorithm, rather than to inpatient treatment. One factor accounting for the longer engagement in outpatient care is the low level of continuity of care among patients being discharged from inpatient treatment.
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Affiliation(s)
- Charles J Neighbors
- Department of Population Health, New York University Grossman School of Medicine, New York, NY, USA.
| | - Shazia Hussain
- New York State Office of Addiction Services and Supports, Albany, NY, USA
| | - Megan O'Grady
- Public Health Sciences, University of Connecticut School of Medicine, Farmington, CT, USA
| | - Marc Manseau
- New York State Office of Addiction Services and Supports, Albany, NY, USA; Department of Psychiatry, New York University Grossman School of Medicine, New York, NY, USA
| | - Sugy Choi
- Department of Population Health, New York University Grossman School of Medicine, New York, NY, USA; Department of Health Law, Policy & Management, Boston University School of Public Health, Boston, MA, USA
| | - Xiaojing Hu
- New York State Office of Addiction Services and Supports, Albany, NY, USA
| | - Constance Burke
- New York State Office of Addiction Services and Supports, Albany, NY, USA
| | - Pat Lincourt
- New York State Office of Addiction Services and Supports, Albany, NY, USA
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