Racial/ethnic disparities in timely receipt of buprenorphine among Medicare disability beneficiaries.


Journal

Drug and alcohol dependence
ISSN: 1879-0046
Titre abrégé: Drug Alcohol Depend
Pays: Ireland
ID NLM: 7513587

Informations de publication

Date de publication:
01 11 2023
Historique:
received: 30 03 2023
revised: 31 08 2023
accepted: 06 09 2023
pmc-release: 01 11 2024
medline: 30 10 2023
pubmed: 26 9 2023
entrez: 25 9 2023
Statut: ppublish

Résumé

Medicare disability beneficiaries (MDBs) have disproportionately high risk of opioid use disorder (OUD) and related harms given high rates of comorbidities and high-dose opioid prescribing. Despite this increased risk, little is known about timely receipt of medication for opioid use disorder (MOUD), including potential disparities by patient race/ethnicity or moderation by county-level characteristics. National Medicare claims for a sample of MDBs with incident OUD diagnosis between March 2016 and June 2019 were linked with county-level data. Multivariable mixed effects Cox proportional hazards models estimated time (in days) to buprenorphine receipt within 180 days of incident OUD diagnosis. Primary exposures included individual-level race/ethnicity and county-level buprenorphine prescriber availability, percent non-Hispanic white (NHW) residents, and Social Deprivation Index (SDI) score. The sample (n=233,079) was predominantly White (72.3%), ≥45 years old (76.3%), and male (54.8%). Black (adjusted hazard ratio [aHR]=0.50; 95% CI, 0.47-0.54), Asian/Pacific Islander (aHR=0.54; 95% CI, 0.41-0.72), Hispanic/Latinx (aHR=0.81; 95% CI, 0.76-0.87), and Other racial/ethnic groups (aHR=0.75; 95% CI, 0.58-0.97) had a lower likelihood of timely buprenorphine than non-Hispanic white beneficiaries after adjusting for individual and county-level confounders. Timely buprenorphine receipt was positively associated with county-level buprenorphine prescriber availability (aHR=1.05; 95% CI, 1.04-1.07), percent non-Hispanic white residents (aHR=1.01; 95% CI, 1.00-1.01), and SDI (aHR=1.06; 95% CI, 1.01-1.10). Racial/ethnic disparities highlight the need to improve access to care for underserved groups. Implementing equity-focused quality and performance measures and developing interventions to increase office-based buprenorphine prescribing in predominantly minority race/ethnicity counties may reduce disparities in timely access to medication for OUD.

Sections du résumé

BACKGROUND
Medicare disability beneficiaries (MDBs) have disproportionately high risk of opioid use disorder (OUD) and related harms given high rates of comorbidities and high-dose opioid prescribing. Despite this increased risk, little is known about timely receipt of medication for opioid use disorder (MOUD), including potential disparities by patient race/ethnicity or moderation by county-level characteristics.
METHODS
National Medicare claims for a sample of MDBs with incident OUD diagnosis between March 2016 and June 2019 were linked with county-level data. Multivariable mixed effects Cox proportional hazards models estimated time (in days) to buprenorphine receipt within 180 days of incident OUD diagnosis. Primary exposures included individual-level race/ethnicity and county-level buprenorphine prescriber availability, percent non-Hispanic white (NHW) residents, and Social Deprivation Index (SDI) score.
RESULTS
The sample (n=233,079) was predominantly White (72.3%), ≥45 years old (76.3%), and male (54.8%). Black (adjusted hazard ratio [aHR]=0.50; 95% CI, 0.47-0.54), Asian/Pacific Islander (aHR=0.54; 95% CI, 0.41-0.72), Hispanic/Latinx (aHR=0.81; 95% CI, 0.76-0.87), and Other racial/ethnic groups (aHR=0.75; 95% CI, 0.58-0.97) had a lower likelihood of timely buprenorphine than non-Hispanic white beneficiaries after adjusting for individual and county-level confounders. Timely buprenorphine receipt was positively associated with county-level buprenorphine prescriber availability (aHR=1.05; 95% CI, 1.04-1.07), percent non-Hispanic white residents (aHR=1.01; 95% CI, 1.00-1.01), and SDI (aHR=1.06; 95% CI, 1.01-1.10).
CONCLUSIONS
Racial/ethnic disparities highlight the need to improve access to care for underserved groups. Implementing equity-focused quality and performance measures and developing interventions to increase office-based buprenorphine prescribing in predominantly minority race/ethnicity counties may reduce disparities in timely access to medication for OUD.

Identifiants

pubmed: 37748421
pii: S0376-8716(23)01201-2
doi: 10.1016/j.drugalcdep.2023.110963
pmc: PMC10615876
mid: NIHMS1935069
pii:
doi:

Substances chimiques

Buprenorphine 40D3SCR4GZ
Analgesics, Opioid 0

Types de publication

Journal Article Research Support, N.I.H., Extramural

Langues

eng

Sous-ensembles de citation

IM

Pagination

110963

Subventions

Organisme : NIDA NIH HHS
ID : K01 DA049950
Pays : United States
Organisme : NIDA NIH HHS
ID : K23 DA053989
Pays : United States
Organisme : NIDA NIH HHS
ID : R01 DA057568
Pays : United States
Organisme : NCATS NIH HHS
ID : TL1 TR003019
Pays : United States

Informations de copyright

Copyright © 2023. Published by Elsevier B.V.

Déclaration de conflit d'intérêts

Declaration of Competing Interest Dr. Samples reported receiving consulting fees from the American Society of Addiction Medicine outside the submitted work. Drs. Miles, Nyaku, Gupta, Simon, Crystal and Mr. Treitler and Mr. Hermida do not report any conflicts of interest.

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Auteurs

Jennifer Miles (J)

Rutgers Institute for Health, Health Care Policy and Aging Research, Rutgers University, New Brunswick, NJ, USA. Electronic address: jm2462@ssw.rutgers.edu.

Peter Treitler (P)

Rutgers Institute for Health, Health Care Policy and Aging Research, Rutgers University, New Brunswick, NJ, USA; School of Social Work, Rutgers University, New Brunswick, NJ, USA.

Richard Hermida (R)

Rutgers Institute for Health, Health Care Policy and Aging Research, Rutgers University, New Brunswick, NJ, USA.

Amesika N Nyaku (AN)

Department of Medicine, Division of Infectious Diseases, Rutgers New Jersey Medical School, Newark, NJ, USA.

Kosali Simon (K)

O'Neill School of Public and Environmental Affairs, Indiana University, Bloomington, IN, USA; National Bureau of Economic Research, Cambridge, MA, USA.

Sumedha Gupta (S)

Department of Economics, Indiana University-Purdue University Indianapolis, Indianapolis, IN, USA.

Stephen Crystal (S)

Rutgers Institute for Health, Health Care Policy and Aging Research, Rutgers University, New Brunswick, NJ, USA; School of Social Work, Rutgers University, New Brunswick, NJ, USA; School of Public Health, Rutgers University, Piscataway, NJ, USA.

Hillary Samples (H)

Rutgers Institute for Health, Health Care Policy and Aging Research, Rutgers University, New Brunswick, NJ, USA; Department of Health Behavior, Society and Policy, Rutgers School of Public Health, Piscataway, NJ, USA.

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