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Reif S, Brolin M, Beyene TM, D'Agostino N, Stewart MT, Horgan CM. Payment and Financing for Substance Use Screening and Brief Intervention for Adolescents and Adults in Health, School, and Community Settings. J Adolesc Health 2022; 71:S73-S82. [PMID: 36122974 PMCID: PMC9945348 DOI: 10.1016/j.jadohealth.2022.04.012] [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: 07/26/2021] [Revised: 04/01/2022] [Accepted: 04/27/2022] [Indexed: 10/14/2022]
Abstract
Screening and brief intervention (SBI) is an evidence-based, cost-effective practice to address unhealthy substance use. With SBI services expanding beyond healthcare settings (e.g., schools, community organizations) and reaching younger populations, sustainability efforts must consider payment and financing. This narrative review incorporated rapid scoping review methods and a search of the gray literature to determine payment and financing approaches for SBI with adolescents and to describe related barriers and facilitators for its sustainability. We sought information relevant to adolescents and settings in which they receive SBI, but also reviewed sources with an adult focus. Few peer-reviewed articles met inclusion criteria, and those mostly highlighted healthcare settings. School-based settings were better described in the gray literature; little was found about community settings. SBI is mostly paid through grant funding and public and commercial insurance; school-based settings use a range of approaches including grants, public insurance, and other public funding. We call upon researchers and providers to describe the payment and financing of SBI, to inform how the uptake of SBI may be practicable and sustainable. The increasing activation and use of insurance billing codes, and the expansion of SBI beyond healthcare, is encouraging to address unhealthy substance use by adolescents.
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Affiliation(s)
- Sharon Reif
- Institute for Behavioral Health, Heller School for Social Policy and Management, Brandeis University, Waltham, Massachusetts.
| | - Mary Brolin
- Institute for Behavioral Health, Heller School for Social Policy and Management, Brandeis University, Waltham, Massachusetts
| | - Tiginesh M Beyene
- Institute for Behavioral Health, Heller School for Social Policy and Management, Brandeis University, Waltham, Massachusetts
| | - Nicole D'Agostino
- Institute for Behavioral Health, Heller School for Social Policy and Management, Brandeis University, Waltham, Massachusetts
| | - Maureen T Stewart
- Institute for Behavioral Health, Heller School for Social Policy and Management, Brandeis University, Waltham, Massachusetts
| | - Constance M Horgan
- Institute for Behavioral Health, Heller School for Social Policy and Management, Brandeis University, Waltham, Massachusetts
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Stewart RE, Wolk CB, Neimark G, Vyas R, Young J, Tjoa C, Kampman K, Jones DT, Mandell DS. It's not just the money: The role of treatment ideology in publicly funded substance use disorder treatment. J Subst Abuse Treat 2021; 120:108176. [PMID: 33298303 PMCID: PMC7808060 DOI: 10.1016/j.jsat.2020.108176] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2020] [Revised: 08/04/2020] [Accepted: 10/15/2020] [Indexed: 11/19/2022]
Abstract
Medications for opioid use disorder (MOUD) are a first-line treatment for opioid use disorder, yet national surveys indicate that most substance use treatment facilities do not offer MOUD. This article presents the results of a qualitative analysis of interviews with leaders from 25 treatment organizations in Philadelphia, Pennsylvania, that investigated attitudes and barriers toward MOUD. Most treatment organizations that we interviewed are adopting at least one MOUD, suggesting that Philadelphia exceeds the national average of organizations with MOUD capacity. Leaders indicated that both practical resources and ideological barriers thwart adoption and implementation of MOUD in publicly funded substance use disorder treatment agencies. Organizations that had recently adopted MOUDs revealed facilitators to MOUD adoption, such as strong leadership that champions the implementation to staff and redefining recovery from substance use disorders throughout the organization. This study's findings highlight that clients, clinicians, and leadership need to address both practical and ideological barriers to expanding MOUD use.
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Affiliation(s)
- Rebecca E Stewart
- Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.
| | - Courtney Benjamin Wolk
- Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | | | - Ridhi Vyas
- Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Jordyn Young
- Department of Psychology, University of Pennsylvania, Philadelphia, PA, USA
| | - Chris Tjoa
- Community Behavioral Health, Philadelphia, PA, USA
| | - Kyle Kampman
- Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - David T Jones
- Department of Behavioral Health and Intellectual disAbility Services, Philadelphia, PA, USA
| | - David S Mandell
- Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
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Torres ME, Brolin M, Panas L, Ritter G, Hodgkin D, Lee M, Merrick E, Horgan C, Hopwood JC, Gewirtz A, De Marco N, Lane N. Evaluating the feasibility and impact of case rate payment for recovery support navigator services: a mixed methods study. BMC Health Serv Res 2020; 20:1004. [PMID: 33143701 PMCID: PMC7607694 DOI: 10.1186/s12913-020-05861-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2020] [Accepted: 10/25/2020] [Indexed: 12/02/2022] Open
Abstract
Background Acute 24-h detoxification services (detox) are necessary but insufficient for many individuals working towards long-term recovery from opiate, alcohol or other drug addiction. Longer engagement in substance use disorder (SUD) treatment can lead to better health outcomes and reductions in overall healthcare costs. Connecting individuals with post-detox SUD treatment and supportive services is a vital next step. Toward this end, the Massachusetts Medicaid program reimburses Community Support Program staff (CSPs) to facilitate these connections. CSP support services are typically paid on a units-of-service basis. As part of a larger study testing health care innovations, one large Medicaid insurer developed a new cadre of workers, called Recovery Support Navigators (RSNs). RSNs performed similar tasks to CSPs but received more extensive training and coaching and were paid an experimental case rate (a flat negotiated reimbursement). This sub-study evaluates the feasibility and impact of case rate payments for RSN services as compared to CSP services paid fee-for-service. Methods We analyzed claims data and RSN service data for a segment of the Massachusetts Medicaid population who had more than one detox admission in the last year and also engaged in post-discharge CSP or RSN services. Qualitative data from key informant interviews and Learning Collaboratives with CSPs and RSNs supplemented the findings. Results Clients receiving RSN services under the case rate utilized the service significantly longer than clients receiving CSP services under unit-based billing. This resulted in a lower average cost per member per month for RSN clients. However, when calculating total SUD treatment costs per member, RSN client costs were 50% higher than CSP client costs. Provider organizations employing RSNs successfully implemented case rate billing. Benefits included allowing time for outreach efforts and training and coaching, activities not paid under the unit-based system. Yet, RSNs identified staffing and larger systems level challenges to consider when using a case rate payment model. Conclusions Addiction is a chronic disease that requires long-term investments. Case rate billing offers a promising option for payers and providers as it promotes continued engagement with service providers. To fully realize the benefits of case rate billing, however, larger systems level changes are needed. Supplementary Information The online version contains supplementary material available at 10.1186/s12913-020-05861-8.
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Affiliation(s)
- Maria E Torres
- Brandeis University, Heller School for Social Policy and Management, Waltham, MA, 02453, USA. .,Smith College School for Social Work, Lilly Hall, Northampton, MA, 01060, USA.
| | - Mary Brolin
- Brandeis University, Heller School for Social Policy and Management, Waltham, MA, 02453, USA
| | - Lee Panas
- Brandeis University, Heller School for Social Policy and Management, Waltham, MA, 02453, USA
| | - Grant Ritter
- Brandeis University, Heller School for Social Policy and Management, Waltham, MA, 02453, USA
| | - Dominic Hodgkin
- Brandeis University, Heller School for Social Policy and Management, Waltham, MA, 02453, USA
| | - Margaret Lee
- Brandeis University, Heller School for Social Policy and Management, Waltham, MA, 02453, USA
| | - Elizabeth Merrick
- Brandeis University, Heller School for Social Policy and Management, Waltham, MA, 02453, USA
| | - Constance Horgan
- Brandeis University, Heller School for Social Policy and Management, Waltham, MA, 02453, USA
| | - Jonna C Hopwood
- Massachusetts Behavioral Health Partnership, a Beacon Health Options company, 1000 Washington Street, Suite 310, Boston, MA, 02118, USA
| | - Andrea Gewirtz
- Massachusetts Behavioral Health Partnership, a Beacon Health Options company, 1000 Washington Street, Suite 310, Boston, MA, 02118, USA
| | - Natasha De Marco
- Harvard Medical School and Harvard Pilgrim Health Care Institute, 401 Park Drive, Suite 401 East, Boston, MA, 02215, USA
| | - Nancy Lane
- Brandeis University, Heller School for Social Policy and Management, Waltham, MA, 02453, USA
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Morgan JR, Wang J, Barocas JA, Jaeger JL, Durham NN, Babakhanlou-Chase H, Bharel M, Walley AY, Linas BP. Opioid overdose and inpatient care for substance use disorder care in Massachusetts. J Subst Abuse Treat 2020; 112:42-48. [PMID: 32199545 PMCID: PMC7928069 DOI: 10.1016/j.jsat.2020.01.017] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2019] [Revised: 01/27/2020] [Accepted: 01/28/2020] [Indexed: 12/18/2022]
Abstract
BACKGROUND Inpatient treatment for substance use disorders is a collection of strategies ranging from short term detoxification to longer term residential treatment. How those with opioid use disorder (OUD) navigate this inpatient treatment system after an encounter for detoxification and subsequent risk of opioid-related overdose is not well understood. METHODS We used a comprehensive Massachusetts database to characterize the movement of people with OUD through inpatient care from 2013 to 2015, identifying admissions to inpatient detoxification, subsequent inpatient care, and opioid overdose while navigating treatment. We measured the person-years accumulated during each transition period to calculate rates of opioid-related overdose, and investigated how overdose differed in select populations. RESULTS Sixty-one percent of inpatient detoxification admissions resulted in a subsequent inpatient detoxification admission without progressing to further inpatient care. Overall, there were 287 fatal and 7337 non-fatal overdoses. Persons exiting treatment after detoxification had the greatest risk of overdose (17.3 per 100 person-years) compared to those who exited after subsequent inpatient care (ranging from 5.9 to 6.6 overdoses per 100 person-years). Non-Hispanic whites were most at risk for opioid related overdose with 16 overdoses per 100 person-years and non-Hispanic blacks had the lowest risk with 5 overdoses per 100 person-years. CONCLUSIONS The majority of inpatient detoxification admissions do not progress to further inpatient care. Recurrent inpatient detoxification admission is common, likely signifying relapse. Rather than functioning as the first step to inpatient care, inpatient detoxification might be more effective as a venue for implementing strategies to expand addiction services or treatment such as medications for opioid use disorder.
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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.
| | - Jianing Wang
- Department of Medicine, Section of Infectious Diseases, Boston Medical Center, Boston, MA, USA
| | - Joshua A Barocas
- Massachusetts General Hospital, Division of Infectious Diseases, Boston, MA, USA; Brigham and Women's Hospital, Division of Infectious Diseases, Boston, MA, USA
| | | | | | | | - Monica Bharel
- Massachusettes Department of Public Health, Boston, MA, USA
| | - Alexander Y Walley
- Massachusettes Department of Public Health, Boston, MA, USA; Department of Medicine, Section of General Internal Medicine, Boston Medical Center, Boston, MA, USA
| | - Benjamin P Linas
- Department of Medicine, Section of Infectious Diseases, Boston Medical Center, Boston, MA, USA; Department of Epidemiology, Boston University School of Public Health, Boston, MA, USA
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Premkumar A, Grobman WA, Terplan M, Miller ES. Methadone, Buprenorphine, or Detoxification for Management of Perinatal Opioid Use Disorder: A Cost-Effectiveness Analysis. Obstet Gynecol 2019; 134:921-931. [PMID: 31599845 PMCID: PMC6870188 DOI: 10.1097/aog.0000000000003503] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/30/2023]
Abstract
OBJECTIVE To estimate whether methadone, buprenorphine, or detoxification treatment is the most cost-effective approach to the management of opioid use disorder (OUD) during pregnancy. METHODS We created a decision analytic model that compared the cost effectiveness (eg, the marginal cost of the strategy in U.S. dollars divided by the marginal effectiveness of the strategy, measured in quality-adjusted life-years [QALYs]) of initiation of methadone, buprenorphine, or detoxification in treatment of OUD during pregnancy. Probabilities, costs, and utilities were estimated from the existing literature. Incremental cost-effective ratios for each strategy were calculated, and a ratio of $100,000 per QALY was used to define cost effectiveness. One-way sensitivity analyses and a Monte Carlo probabilistic sensitivity analysis were performed. RESULTS Under base assumptions, initiation of buprenorphine was more effective at a lower cost than either methadone or detoxification and thus was the dominant strategy. Buprenorphine was no longer cost effective if the cost of methadone was 8% less than the base-case estimate ($1,646/month) or if the overall costs of detoxification were 121% less than the base-case estimate for the detoxification cost multiplier, which was used to increase the values of both inpatient and outpatient management of detoxification by a factor of 2. Monte Carlo analyses revealed that buprenorphine was the cost-effective strategy in 70.5% of the simulations. Direct comparison of buprenorphine with methadone demonstrated that buprenorphine was below the incremental cost-effective ratio in 95.1% of simulations; direct comparison between buprenorphine and detoxification demonstrated that buprenorphine was below the incremental cost-effective ratio in 45% of simulations. CONCLUSION Under most circumstances, we estimate that buprenorphine is the cost-effective strategy when compared with either methadone or detoxification as treatment for OUD during pregnancy. Nonetheless, the fact that buprenorphine was not the cost-effective strategy in almost one out of three of simulations suggests that the robustness of our model may be limited and that further evaluation of the cost-effective approach to the management of OUD during pregnancy is needed.
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Affiliation(s)
- Ashish Premkumar
- Division of Maternal-Fetal Medicine, Department of Obstetrics and Gynecology, Feinberg School of Medicine, Northwestern University, Chicago, IL USA
| | - William A. Grobman
- Division of Maternal-Fetal Medicine, Department of Obstetrics and Gynecology, Feinberg School of Medicine, Northwestern University, Chicago, IL USA
| | - Mishka Terplan
- Division of General Obstetrics and Gynecology, Department of Obstetrics and Gynecology, Virginia Commonwealth School of Medicine, Richmond, VA USA
| | - Emily S. Miller
- Division of Maternal-Fetal Medicine, Department of Obstetrics and Gynecology, Feinberg School of Medicine, Northwestern University, Chicago, IL USA
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Sporinova B, Manns B, Tonelli M, Hemmelgarn B, MacMaster F, Mitchell N, Au F, Ma Z, Weaver R, Quinn A. Association of Mental Health Disorders With Health Care Utilization and Costs Among Adults With Chronic Disease. JAMA Netw Open 2019; 2:e199910. [PMID: 31441939 PMCID: PMC6714022 DOI: 10.1001/jamanetworkopen.2019.9910] [Citation(s) in RCA: 85] [Impact Index Per Article: 17.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/21/2023] Open
Abstract
IMPORTANCE A population-based study using validated algorithms to estimate the costs of treating people with chronic disease with and without mental health disorders is needed. OBJECTIVE To determine the association of mental health disorders with health care costs among people with chronic diseases. DESIGN, SETTING, AND PARTICIPANTS This population-based cohort study in the Canadian province of Alberta collected data from April 1, 2012, to March 31, 2015, among 991 445 adults 18 years and older with a chronic disease (ie, asthma, congestive heart failure, myocardial infarction, diabetes, epilepsy, hypertension, chronic pulmonary disease, or chronic kidney disease). Data analysis was conducted from October 2017 to August 2018. EXPOSURES Mental health disorder (ie, depression, schizophrenia, alcohol use disorder, or drug use disorder). MAIN OUTCOMES AND MEASURES Resource use, mean total unadjusted and adjusted 3-year health care costs, and mean total unadjusted 3-year costs for hospitalization and emergency department visits for ambulatory care-sensitive conditions. RESULTS Among 991 445 participants, 156 296 (15.8%) had a mental health disorder. Those with no mental health disorder were older (mean [SD] age, 58.1 [17.6] years vs 55.4 [17.0] years; P < .001) and less likely to be women (50.4% [95% CI, 50.3%-50.5%] vs 57.7% [95% CI, 57.4%-58.0%]; P < .001) than those with mental health disorders. For those with a mental health disorder, mean total 3-year adjusted costs were $38 250 (95% CI, $36 476-$39 935), and for those without a mental health disorder, mean total 3-year adjusted costs were $22 280 (95% CI, $21 780-$22 760). Having a mental health disorder was associated with significantly higher resource use, including hospitalization and emergency department visit rates, length of stay, and hospitalization for ambulatory care-sensitive conditions. Higher resource use by patients with mental health disorders was not associated with health care presentations owing to chronic diseases compared with patients without a mental health disorder (chronic disease hospitalization rate per 1000 patient days, 0.11 [95% CI, 0.11-0.12] vs 0.06 [95% CI, 0.06-0.06]; P < .001; overall hospitalization rate per 1000 patient days, 0.88 [95% CI, 0.87-0.88] vs 0.43 [95% CI, 0.43-0.43]; P < .001). CONCLUSIONS AND RELEVANCE This study suggests that mental health disorders are associated with substantially higher resource utilization and health care costs among patients with chronic diseases. These findings have clinical and health policy implications.
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Affiliation(s)
- Barbora Sporinova
- Department of Medicine, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada
| | - Braden Manns
- Department of Medicine, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada
- Alberta Health Services, Edmonton, Alberta, Canada
- Libin Cardiovascular Institute, O’Brien Institute of Public Health, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada
- Department of Community Health Sciences, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada
| | - Marcello Tonelli
- Department of Medicine, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada
- Libin Cardiovascular Institute, O’Brien Institute of Public Health, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada
- Department of Community Health Sciences, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada
| | - Brenda Hemmelgarn
- Department of Medicine, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada
- Libin Cardiovascular Institute, O’Brien Institute of Public Health, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada
- Department of Community Health Sciences, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada
| | - Frank MacMaster
- Department of Psychiatry, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada
- Strategic Clinical Network for Addictions and Mental Health, Alberta Health Services, Edmonton, Alberta, Canada
| | - Nicholas Mitchell
- Strategic Clinical Network for Addictions and Mental Health, Alberta Health Services, Edmonton, Alberta, Canada
- Department of Psychiatry, University of Alberta, Edmonton, Alberta, Canada
| | - Flora Au
- Department of Medicine, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada
| | - Zhihai Ma
- Department of Medicine, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada
| | - Robert Weaver
- Department of Medicine, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada
| | - Amity Quinn
- Department of Community Health Sciences, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada
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Tonelli M, Wiebe N, Manns BJ, Klarenbach SW, James MT, Ravani P, Pannu N, Himmelfarb J, Hemmelgarn BR. Comparison of the Complexity of Patients Seen by Different Medical Subspecialists in a Universal Health Care System. JAMA Netw Open 2018; 1:e184852. [PMID: 30646392 PMCID: PMC6324421 DOI: 10.1001/jamanetworkopen.2018.4852] [Citation(s) in RCA: 172] [Impact Index Per Article: 28.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/04/2023] Open
Abstract
IMPORTANCE Clinical experience suggests that there are substantial differences in patient complexity across medical specialties, but empirical data are lacking. OBJECTIVE To compare the complexity of patients seen by different types of physician in a universal health care system. DESIGN, SETTING, AND PARTICIPANTS Population-based retrospective cohort study of 2 597 127 residents of the Canadian province of Alberta aged 18 years and older with at least 1 physician visit between April 1, 2014 and March 31, 2015. Data were analyzed in September 2018. EXPOSURES Type of physician seeing each patient (family physician, general internist, or 11 types of medical subspecialist) assessed as non-mutually exclusive categories. MAIN OUTCOMES AND MEASURES Nine markers of patient complexity (number of comorbidities, presence of mental illness, number of types of physicians involved in each patient's care, number of physicians involved in each patient's care, number of prescribed medications, number of emergency department visits, rate of death, rate of hospitalization, rate of placement in a long-term care facility). RESULTS Among the 2 597 127 participants, the median (interquartile range) age was 46 (32-59) years and 54.1% were female. Over 1 year of follow-up, 21 792 patients (0.8%) died, the median (range) number of days spent in the hospital was 0 (0-365), 8.1% of patients had at least 1 hospitalization, and the median (interquartile range) number of prescribed medications was 3 (1-7). When the complexity markers were considered individually, patients seen by nephrologists had the highest mean number of comorbidities (4.2; 95% CI, 4.2-4.3 vs [lowest] 1.1; 95% CI, 1.0-1.1), highest mean number of prescribed medications (14.2; 95% CI, 14.2-14.3 vs [lowest] 4.9; 95% CI, 4.9-4.9), highest rate of death (6.6%; 95% CI, 6.3%-6.9% vs [lowest] 0.1%; 95% CI, <0.1%-0.2%), and highest rate of placement in a long-term care facility (2.0%; 95% CI, 1.8%-2.2% vs [lowest] <0.1%; 95% CI, <0.1%-0.1%). Patients seen by infectious disease specialists had the highest complexity as assessed by the other 5 markers: rate of a mental health condition (29%; 95% CI, 28%-29% vs [lowest] 14%; 95% CI, 14%-14%), mean number of physician types (5.5; 95% CI, 5.5-5.6 vs [lowest] 2.1; 95% CI, 2.1-2.1), mean number of physicians (13.0; 95% CI, 12.9-13.1 vs [lowest] 3.8; 95% CI, 3.8-3.8), mean days in hospital (15.0; 95% CI, 14.9-15.0 vs [lowest] 0.4; 95% CI, 0.4-0.4), and mean emergency department visits (2.6; 95% CI, 2.6-2.6 vs [lowest] 0.5; 95% CI, 0.5-0.5). When types of physician were ranked according to patient complexity across all 9 markers, the order from most to least complex was nephrologist, infectious disease specialist, neurologist, respirologist, hematologist, rheumatologist, gastroenterologist, cardiologist, general internist, endocrinologist, allergist/immunologist, dermatologist, and family physician. CONCLUSION AND RELEVANCE Substantial differences were found in 9 different markers of patient complexity across different types of physician, including medical subspecialists, general internists, and family physicians. These findings have implications for medical education and health policy.
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Affiliation(s)
- Marcello Tonelli
- Department of Medicine, University of Calgary, Calgary, Alberta, Canada
| | - Natasha Wiebe
- Department of Medicine, University of Alberta, Edmonton, Alberta, Canada
| | - Braden J. Manns
- Department of Medicine, University of Calgary, Calgary, Alberta, Canada
| | | | - Matthew T. James
- Department of Medicine, University of Calgary, Calgary, Alberta, Canada
| | - Pietro Ravani
- Department of Medicine, University of Calgary, Calgary, Alberta, Canada
| | - Neesh Pannu
- Department of Medicine, University of Alberta, Edmonton, Alberta, Canada
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Zhu H, Wu LT. National trends and characteristics of inpatient detoxification for drug use disorders in the United States. BMC Public Health 2018; 18:1073. [PMID: 30157815 PMCID: PMC6114033 DOI: 10.1186/s12889-018-5982-8] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2018] [Accepted: 08/21/2018] [Indexed: 12/11/2022] Open
Abstract
BACKGROUND Prior studies indicate that the opportunity from detoxification to engage in subsequent drug use disorder (DUD) treatment may be missed. This study examined national trends and characteristics of inpatient detoxification for DUDs and explored factors associated with receiving DUD treatment (i.e., inpatient drug detoxification plus rehabilitation) and discharges against medical advice (DAMA). METHODS We analyzed inpatient hospitalization data involving the drug detoxification procedure for patients aged≥12 years (n = 271,403) in the 2003-2011 Nationwide Inpatient Samples. We compared the estimated rate and characteristics of inpatient drug-detoxification hospitalizations between 2003 and 2011 and determined demographic and clinical correlates of inpatient drug detoxification plus rehabilitation (versus detoxification-only) and DAMA (versus transfer to further treatment). RESULTS There was no significant yearly change in the population rate of inpatient drug-detoxification hospitalizations during 2003-2011. The majority of inpatient drug detoxification were patients aged 35-64 years, males, and those on Medicaid. Among inpatient drug-detoxification hospitalizations, only 13% received detoxification plus rehabilitation during inpatient care, and up to 14% were DAMA; the most commonly identified diagnoses were opioid use disorder (OUD; 75%) and non-addiction mental health disorders (48%). Being on Medicaid (vs. having private insurance) and having OUD (vs. no OUD) were associated with decreased odds of receiving detoxification plus rehabilitation, as well as increased odds of DAMA. CONCLUSIONS These findings suggest the presence of a potentially large detoxification-treatment gap for inpatient detoxification patients. They highlight the need for implementing DUD services to improve engagement in receiving further DUD treatment in order to improve recovery and health outcomes.
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Affiliation(s)
- He Zhu
- Department of Psychiatry and Behavioral Sciences, School of Medicine, Duke University Medical Center, BOX 3903, Durham, NC, 27710, USA.
| | - Li-Tzy Wu
- Department of Psychiatry and Behavioral Sciences, School of Medicine, Duke University Medical Center, BOX 3903, Durham, NC, 27710, USA.
- Department of Medicine, Division of General Internal Medicine, Duke University Medical Center, Durham, NC, USA.
- Duke Clinical Research Institute, Duke University Medical Center, Durham, NC, USA.
- Center for Child and Family Policy, Sanford School of Public Policy, Duke University, Durham, NC, USA.
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