Buprenorphine Utilization and Prescribing Among New Jersey Medicaid Beneficiaries After Adoption of Initiatives Designed to Improve Treatment Access.


Journal

JAMA network open
ISSN: 2574-3805
Titre abrégé: JAMA Netw Open
Pays: United States
ID NLM: 101729235

Informations de publication

Date de publication:
01 05 2023
Historique:
medline: 8 5 2023
pubmed: 5 5 2023
entrez: 5 5 2023
Statut: epublish

Résumé

Buprenorphine is underutilized as a treatment for opioid use disorder (OUD); state policies may improve buprenorphine access and utilization. To assess buprenorphine prescribing trends following New Jersey Medicaid initiatives designed to improve access. This cross-sectional interrupted time series analysis included New Jersey Medicaid beneficiaries who were prescribed buprenorphine and had 12 months continuous Medicaid enrollment, OUD diagnosis, and no Medicare dual eligibility, as well as physician or advanced practitioners who prescribed buprenorphine to Medicaid beneficiaries. The study used Medicaid claims data from 2017 to 2021. Implementation of New Jersey Medicaid initiatives in 2019 that removed prior authorizations, increased reimbursement for office-based OUD treatment, and established regional Centers of Excellence. Rate of buprenorphine receipt per 1000 beneficiaries with OUD; percentage of new buprenorphine episodes lasting at least 180 days; buprenorphine prescribing rate per 1000 Medicaid prescribers, overall and by specialty. Of 101 423 Medicaid beneficiaries (mean [SD] age, 41.0 [11.6] years; 54 726 [54.0%] male; 30 071 [29.6%] Black, 10 143 [10.0%] Hispanic, and 51 238 [50.5%] White), 20 090 filled at least 1 prescription for buprenorphine from 1788 prescribers. Policy implementation was associated with an inflection point in buprenorphine prescribing trend; after implementation, the trend increased by 36%, from 1.29 (95% CI, 1.02-1.56) prescriptions per 1000 beneficiaries with OUD to 1.76 (95% CI, 1.46-2.06) prescriptions per 1000 beneficiaries with OUD. Among beneficiaries with new buprenorphine episodes, the percentage retained for at least 180 days was stable before and after initiatives were implemented. The initiatives were associated with an increase in the growth rate of buprenorphine prescribers (0.43 per 1000 prescribers; 95% CI, 0.34 to 0.51 per 1000 prescribers). Trends were similar across specialties, but increases were most pronounced among primary care and emergency medicine physicians (eg, primary care: 0.42 per 1000 prescribers; 95% CI, 0.32-0.53 per 1000 prescribers). Advanced practitioners accounted for a growing percentage of buprenorphine prescribers, with a monthly increase of 0.42 per 1000 prescribers (95% CI, 0.32-0.52 per 1000 prescribers). A secondary analysis to test for changes associated with non-state-specific secular trends in prescribing found that quarterly trends in buprenorphine prescriptions increased in New Jersey relative to all other states following initiative implementation. In this cross-sectional study of state-level New Jersey Medicaid initiatives designed to expand buprenorphine access, implementation was associated with an upward trend in buprenorphine prescribing and receipt. No change was observed in the percentage of new buprenorphine treatment episodes lasting 180 or more days, indicating that retention remains a challenge. Findings support implementation of similar initiatives but highlight the need for efforts to support long-term retention.

Identifiants

pubmed: 37145594
pii: 2804553
doi: 10.1001/jamanetworkopen.2023.12030
pmc: PMC10163388
doi:

Substances chimiques

Buprenorphine 40D3SCR4GZ

Types de publication

Journal Article Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

e2312030

Subventions

Organisme : NIDA NIH HHS
ID : K01 DA049950
Pays : United States
Organisme : NCATS NIH HHS
ID : UL1 TR003017
Pays : United States
Organisme : NIDA NIH HHS
ID : R01 DA057568
Pays : United States

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Auteurs

Peter Treitler (P)

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

Molly Nowels (M)

Institute for Health, Health Care Policy and Aging Research, Rutgers University, New Brunswick, New Jersey.
School of Public Health, Rutgers University, Piscataway, New Jersey.

Hillary Samples (H)

Institute for Health, Health Care Policy and Aging Research, Rutgers University, New Brunswick, New Jersey.
School of Public Health, Rutgers University, Piscataway, New Jersey.

Stephen Crystal (S)

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

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Classifications MeSH