Evidence map›Paper›PMID 39058507›Full record

ArticleJAMA health forum2024

Insurance Instability for Patients With Opioid Use Disorder in the Year After Diagnosis.

Paul J Christine, Anna L Goldman, Jake R Morgan, Shapei Yan, Avik Chatterjee, Amy L Bettano, Ingrid A Binswanger, Marc R LaRochelle

Abstract read
In one paragraph

Article in JAMA health forum, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
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

8 citing papers in PubMed.

  1. Comparison of buprenorphine treatment by virtual-only vs. traditional clinicians.Journal of substance use and addiction treatment · 2026
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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

8 authors.

Paul J ChristineDivision of General Internal Medicine, Department of Medicine, University of Colorado School of Medicine, Aurora.
Anna L GoldmanSection of General Internal Medicine, Department of Medicine, Boston Medical Center, Boston, Massachusetts.
Jake R MorganDepartment of Health Law, Policy, and Management, Boston University School of Public Health, Boston, Massachusetts.
Shapei YanSection of General Internal Medicine, Department of Medicine, Boston Medical Center, Boston, Massachusetts.
Avik ChatterjeeSection of General Internal Medicine, Department of Medicine, Boston Medical Center, Boston, Massachusetts.
Amy L BettanoOffice of Population Health, Massachusetts Department of Public Health, Boston.
Ingrid A BinswangerDivision of General Internal Medicine, Department of Medicine, University of Colorado School of Medicine, Aurora.
Marc R LaRochelleSection of General Internal Medicine, Department of Medicine, Boston Medical Center, Boston, Massachusetts.

Funding

Utilization of health services after engagement with opioid use disorder (OUD) treatment provider by individuals with and without post-traumatic stress disorderP30DA040500 · NIDA · WEILL MEDICAL COLL OF CORNELL UNIV · PI Benjamin P. Linas · 2015 to 2026
$20.7M
Researching Effective Strategies to Prevent Opioid Death (RESPOND)R01DA046527 · NIDA · BOSTON MEDICAL CENTER · PI Benjamin P. Linas · 2018 to 2026
$7.2M
Advancing Clinical Research Training within Addiction Residency ProgramsR25DA033211 · NIDA · BOSTON MEDICAL CENTER · PI Patrick O'Connor, JEFFREY H. SAMET · 2012 to 2026
$4.2M
Medicaid Accountable Care Organizations (ACO) and Quality of Care for Adults with Serious Mental Illness (SMI)K23MH128639 · NIMH · BOSTON MEDICAL CENTER · PI GOLDMAN, ANNA · 2022 to 2025
$758k
NIDA NIH HHS R01 DA046527NIDA NIH HHS R25 DA033211NIMH NIH HHS K23 MH128639
6 · The paper itself

Abstract

Importance: Transitions in insurance coverage may be associated with worse health care outcomes. Little is known about insurance stability for individuals with opioid use disorder (OUD). Objective: To examine insurance transitions among adults with newly diagnosed OUD in the 12 months after diagnosis. Design, Setting, and Participants: Longitudinal cohort study using data from the Massachusetts Public Health Data Warehouse. The cohort includes adults aged 18 to 63 years diagnosed with incident OUD between July 1, 2014, and December 31, 2014, who were enrolled in commercial insurance or Medicaid at diagnosis; individuals diagnosed after 2014 were excluded from the main analyses due to changes in the reporting of insurance claims. Data were analyzed from November 10, 2022, to May 6, 2024. Exposure: Insurance type at time of diagnosis (commercial and Medicaid). Main Outcomes and Measures: The primary outcome was the cumulative incidence of insurance transitions in the 12 months after diagnosis. Logistic regression models were used to generate estimated probabilities of insurance transitions by insurance type and diagnosis for several characteristics including age, race and ethnicity, and whether an individual started medication for OUD (MOUD) within 30 days after diagnosis. Results: There were 20 768 individuals with newly diagnosed OUD between July 1, 2014, and December 31, 2014. Most individuals with newly diagnosed OUD were covered by Medicaid (75.4%). Those with newly diagnosed OUD were primarily male (67% in commercial insurance, 61.8% in Medicaid). In the 12 months following OUD diagnosis, 30.4% of individuals experienced an insurance transition, with adjusted models demonstrating higher transition rates among those starting with Medicaid (31.3%; 95% CI, 30.5%-32.0%) compared with commercial insurance (27.9%; 95% CI, 26.6%-29.1%). The probability of insurance transitions was generally higher for younger individuals than older individuals irrespective of insurance type, although there were notable differences by race and ethnicity. Conclusions and Relevance: This study found that nearly 1 in 3 individuals experience insurance transitions in the 12 months after OUD diagnosis. Insurance transitions may represent an important yet underrecognized factor in OUD treatment outcomes.

Indexed as

Insurance CoverageInsurance, HealthMedicaidOpioid-Related DisordersAdolescentAdultFemaleHumansLongitudinal StudiesMaleMassachusettsMiddle AgedUnited StatesYoung Adult

Identifiers

PMID39058507
PMCPMC11282441

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Registered trials

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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.