Evidence map›Paper›PMID 40537088›Full record

ArticleJMIR formative research2025

Health Services Usage in Patients Receiving Buprenorphine for Opioid Use Disorder or Long-Term Opioid Therapy for Chronic Pain: Retrospective Cohort Study.

Samuel T Savitz, Maria A Stevens, Bidisha Nath, Gail D'Onofrio, Edward R Melnick, Molly M Jeffery

Abstract read
In one paragraph

Article in JMIR formative research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

6 authors.

Samuel T SavitzDivision of Health Care Delivery Research, Kern Center for the Science of Health Care Delivery, Mayo Clinic, Rochester, MN, United States.ORCID 0000-0003-3190-7740
Maria A StevensDivision of Health Care Delivery Research, Kern Center for the Science of Health Care Delivery, Mayo Clinic, Rochester, MN, United States.ORCID 0000-0003-3184-5834
Bidisha NathDepartment of Emergency Medicine, Yale School of Medicine, Yale University, New Haven, CT, United States.ORCID 0000-0002-8385-3417
Gail D'OnofrioDepartment of Emergency Medicine, Yale School of Medicine, Yale University, New Haven, CT, United States.ORCID 0000-0002-3833-1871
Edward R MelnickDepartment of Emergency Medicine, Yale School of Medicine, Yale University, New Haven, CT, United States.ORCID 0000-0002-6509-9537
Molly M JefferyDivision of Health Care Delivery Research, Kern Center for the Science of Health Care Delivery, Mayo Clinic, Rochester, MN, United States.ORCID 0000-0003-3854-6810

Funding

NIH Health Care Systems Research Collaboratory-Coordinating Center (U24)U24AT009676 · NCCIH · DUKE UNIVERSITY · PI LESLEY H CURTIS, Adrian Hernandez · 2017 to 2026
$21.5M
EMBED: Pragmatic trial of user-centered clinical decision support to implement EMergency department-initiated BuprenorphinE for opioid use DisorderUH3DA047003 · NIDA · YALE UNIVERSITY · PI D'ONOFRIO, GAIL, MELNICK, EDWARD ROBERT · 2019 to 2022
$7.2M
NCCIH NIH HHS U24 AT009676NIDA NIH HHS UH3 DA047003
6 · The paper itself

Abstract

backgroundPatients using buprenorphine for opioid use disorder (OUD) or long-term opioid therapy for chronic pain are at risk for poor outcomes if care is interrupted. Both treatments are highly regulated, with prepandemic requirements for in-person care. COVID-19 may have resulted in barriers to accessing in-person care through disruptions in care delivery. However, there were also opportunities for improved access to telemedicine visits through policy changes.

objectiveThis study aims to evaluate changes in health care and telemedicine use during the COVID-19 pandemic among patients using buprenorphine for OUD and long-term opioid therapy for chronic pain.

methodsWe used administrative claims data for commercially insured and Medicare Advantage patients from the OptumLabs Data Warehouse. We included patients using buprenorphine for OUD or long-term opioid therapy for chronic pain compared to patients with another chronic condition without similar prescribing restrictions: serious mental illness. We evaluated changes in in-person and telemedicine care by comparing rates of services by physician specialty, type of service, and the percentage of visits through telemedicine. Changes in usage were measured using a difference-in-differences approach with Poisson regression. The results are presented as incident rate ratios (IRR).

resultsWe found declines in in-person visits in April 2020 across the buprenorphine, chronic opioids, and serious mental illness cohorts. The largest declines were for specialties that rely on in-person treatment, such as emergency medicine (IRR range 0.60-0.62), orthopedics (IRR 0.48-0.52), cardiology (IRR 0.64-0.78), and oncology (IRR 0.77-0.81). In contrast, there were smaller declines for specialties that could more easily transition to telemedicine, namely family practice (IRR 0.80-0.92), mental health (IRR 0.92-1.01), and pain medicine (IRR 0.87-1.08). The percentage of telemedicine visits for these specialties ranged from 30% to 51% in the period. There were also large declines for specific services, including emergency medicine (IRR 0.53-0.89), physical therapy (IRR 0.24-0.72), and new office visits (IRR 0.38-0.64). By January 2022, usage was similar to prepandemic levels, but the percentage of telemedicine visits remained elevated for family practice (10%-14%), mental health (34%-43%), and pain medicine (11%-15%) through January 2022. The results were similar across the cohorts, although in April 2020 there was a modest decrease (IRR 0.87) for pain medicine in the serious mental illness cohort, but the differences were not significant for the buprenorphine (IRR 1.08) and chronic opioids (IRR: 0.99) cohorts.

conclusionsThese findings highlight the value of telemedicine to maintain access among people at risk for poor outcomes if care is interrupted. While flexibilities in the regulation of telemedicine services that arose during the pandemic have been temporarily extended multiple times, they are set to expire in 2025 without further action. Making these changes to telemedicine regulation permanent may benefit vulnerable patient populations who face access to care challenges.

Indexed as

Analgesics, OpioidBuprenorphineChronic PainOpiate Substitution TreatmentOpioid-Related DisordersPatient Acceptance of Health CareAdultAgedCOVID-19FemaleHumansMaleMiddle AgedRetrospective StudiesSARS-CoV-2TelemedicineAnalgesics, OpioidBuprenorphinebuprenorphinechronicclaims datacohorthealth care utilizationopioidsopioid use disorderOUDpainretrospectiveservicestelehealthtelemedicineusageutilization

Identifiers

PMID40537088
PMCPMC12226777

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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.