Evidence map›Paper›PMID 37935350›Full record

ArticleJournal of substance use and addiction treatment2024

Implementation of an office-based addiction treatment model for Medicaid enrollees: A mixed methods study.

Peter Treitler, Michael Enich, Cadence Bowden, Anais Mahone, James Lloyd, Stephen Crystal

Open access · greenAbstract read
In one paragraph

Article in Journal of substance use and addiction treatment, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.6field-weighted citation impact, top 29% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 1 institution in 1 country.

Peter TreitlerCenter for Health Services Research, Institute for Health, Health Care Policy and Aging Research, Rutgers, the State University of New Jersey, 112 Paterson St. 3rd Floor, New Brunswick, NJ 08901, United States of America; Boston University School of Social Work, 264 Bay State Rd., Boston, MA 02215, United States of America. Electronic address: treitler@bu.edu.
Michael EnichCenter for Health Services Research, Institute for Health, Health Care Policy and Aging Research, Rutgers, the State University of New Jersey, 112 Paterson St. 3rd Floor, New Brunswick, NJ 08901, United States of America; School of Social Work, Rutgers, the State University of New Jersey, 120 Albany St., New Brunswick, NJ 08901, United States of America.
Cadence BowdenCenter for Health Services Research, Institute for Health, Health Care Policy and Aging Research, Rutgers, the State University of New Jersey, 112 Paterson St. 3rd Floor, New Brunswick, NJ 08901, United States of America.
Anais MahoneCenter for Health Services Research, Institute for Health, Health Care Policy and Aging Research, Rutgers, the State University of New Jersey, 112 Paterson St. 3rd Floor, New Brunswick, NJ 08901, United States of America; School of Social Work, Rutgers, the State University of New Jersey, 120 Albany St., New Brunswick, NJ 08901, United States of America.
James LloydCenter for Health Services Research, Institute for Health, Health Care Policy and Aging Research, Rutgers, the State University of New Jersey, 112 Paterson St. 3rd Floor, New Brunswick, NJ 08901, United States of America.
Stephen CrystalCenter for Health Services Research, Institute for Health, Health Care Policy and Aging Research, Rutgers, the State University of New Jersey, 112 Paterson St. 3rd Floor, New Brunswick, NJ 08901, United States of America; School of Social Work, Rutgers, the State University of New Jersey, 120 Albany St., New Brunswick, NJ 08901, United States of America; School of Public Health, Rutgers, the State University of New Jersey, 683 Hoes Lane West, Piscataway, NJ 08854, United States of America.
Rutgers, The State University of New Jersey · US

Funding

New Jersey Alliance for Clinical Translational Science: NJ ACTSUL1TR003017 · NCATS · RUTGERS BIOMEDICAL/HEALTH SCIENCES-RBHS · PI PANETTIERI, REYNOLD ALEXANDER · 2019 to 2023
$28.9M
Opioid Overdoses among Medicaid Beneficiaries: Predictors, Outcomes, and State Policy EffectsR01DA047347 · NIDA · RUTGERS, THE STATE UNIV OF N.J. · PI CRYSTAL, STEPHEN · 2019 to 2022
$3.1M
NCATS NIH HHS UL1 TR003017NIDA NIH HHS R01 DA047347
6 · The paper itself

Abstract

introductionMedications for opioid use disorder (MOUD) are the most effective treatment for opioid use disorder (OUD) but remain underutilized. To reduce barriers to MOUD prescribing and increase treatment access, New Jersey's Medicaid program implemented the Office-Based Addiction Treatment (OBAT) Program in 2019, which increased reimbursement for office-based buprenorphine prescribing and established newly reimbursable patient navigation services in OBAT clinics. Using a mixed-methods design, this study aimed to describe stakeholder experiences with the OBAT program and to assess implementation and uptake of the program.

methodsThis study used a concurrent, triangulated mixed-methods design, which integrated complementary qualitative (semi-structured interviews) and quantitative (Medicaid claims) data to gain an in-depth understanding of the implementation of the OBAT program. We elicited stakeholder perspectives through interviews with 22 NJ Medicaid MOUD providers and 8 policy key informants, and examined trends in OBAT program utilization using 2019-2020 NJ Medicaid claims for 5380 Medicaid enrollees who used OBAT services. We used cross-case analysis (provider interviews) and a case study approach (key informant interviews) in analyzing qualitative data, and calculated descriptive statistics and trends for quantitative data.

resultsProvider enrollment and utilization of OBAT services increased steadily during the first two years of program implementation. Interviewees reported that enhanced reimbursements for office-based MOUD incentivized greater MOUD prescribing, while coverage of patient navigation services improved patient care. Despite increasing enrollment in the OBAT program, the proportion of primary care physicians in the state who enrolled in the program remained limited. Key barriers to enrollment included: requirements for a patient navigator; concerns about administrative burdens and reimbursement delays from Medicaid; lack of awareness of the program; and beliefs that patients with OUD were better served in comprehensive care settings. Patient navigation was highlighted as a critical and valuable element of the program, but navigator enrollment and reimbursement challenges may have prevented greater uptake of this service.

conclusionsImplementation of an OBAT model that enhanced reimbursement and provided coverage for patient navigation likely expanded access to MOUD in NJ. Results support initiatives like the OBAT program in improving access to MOUD, but program adaptations, where feasible, could improve uptake and utilization.

Indexed as

Behavior, AddictiveBuprenorphineOpioid-Related DisordersBiological TransportHumansMedicaidUnited StatesBuprenorphineMedicaidMedications for opioid use disorderMixed-methodsOffice-based addiction treatmentPatient navigation

Identifiers

PMID37935350
PMCPMC10842178
OpenAlexW4388373390

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.