Evidence map›Paper›PMID 37327009›Full record

ArticleJAMA health forum2023

Trends in Use of Medication to Treat Opioid Use Disorder During the COVID-19 Pandemic in 10 State Medicaid Programs.

Anna E Austin, Lu Tang, Joo Yeon Kim, Lindsay Allen, Andrew J Barnes, Chung-Chou H Chang, Sarah Clark, Evan S Cole, Christine Piette Durrance, Julie M Donohue and 13 more

Abstract read
In one paragraph

Article in JAMA health forum, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
–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

15 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Telehealth Utilization for Opioid Use Disorder: A Nationwide Analysis Before and After the COVID-19 Public Health Emergency Declaration.Telemedicine journal and e-health : the official journal of the American Telemedicine Association · 2024
    Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Review
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

23 authors.

Anna E AustinDepartment of Maternal and Child Health, Gillings School of Global Public Health, The University of North Carolina at Chapel Hill.
Lu TangDepartment of Biostatistics, School of Public Health, University of Pittsburgh, Pittsburgh, Pennsylvania.
Joo Yeon KimDepartment of Health Policy and Management, School of Public Health, University of Pittsburgh, Pittsburgh, Pennsylvania.
Lindsay AllenDepartment of Emergency Medicine, Feinberg School of Medicine, Northwestern University, Chicago, Illinois.
Andrew J BarnesDepartment of Health Behavior and Policy, Virginia Commonwealth University, Richmond.
Chung-Chou H ChangDepartment of Biostatistics, School of Public Health, University of Pittsburgh, Pittsburgh, Pennsylvania.
Sarah ClarkDepartment of Pediatrics, Michigan Medicine, University of Michigan, Ann Arbor.
Evan S ColeDepartment of Health Policy and Management, School of Public Health, University of Pittsburgh, Pittsburgh, Pennsylvania.
Christine Piette DurranceLa Follette School of Public Affairs, University of Wisconsin-Madison.
Julie M DonohueDepartment of Health Policy and Management, School of Public Health, University of Pittsburgh, Pittsburgh, Pennsylvania.
Adam J GordonDepartment of Internal Medicine, University of Utah, Salt Lake City.
Haiden A HuskampDepartment of Health Care Policy, Harvard Medical School, Boston, Massachusetts.
Mary Joan McDuffieCenter for Community Research and Service, Joseph R. Biden, Jr. School of Public Policy and Administration, University of Delaware, Newark.
Ateev MehrotraDepartment of Health Care Policy, Harvard Medical School, Boston, Massachusetts.
Shamis MohamoudThe Hilltop Institute, University of Maryland, Baltimore County, Baltimore.
Jeffery TalbertInstitute for Biomedical Informatics, University of Kentucky, Lexington.
Katherine A AhrensPublic Health Program, Muskie School of Public Service, University of Southern Maine, Portland.
Mary ApplegateOhio Department of Medicaid, Columbus.
Lindsey R HammerslagInstitute for Biomedical Informatics, University of Kentucky, Lexington.
Paul LanierSchool of Social Work, The University of North Carolina at Chapel Hill.
Krystel TossoneThe Ohio Colleges of Medicine, Government Resource Center, College of Medicine, The Ohio State University, Columbus.
Kara ZivinDepartment of Psychiatry, Michigan Medicine, University of Michigan, Ann Arbor.
Marguerite E BurnsPopulation Health Sciences, School of Medicine and Public Health, University of Wisconsin-Madison.

Funding

Telemedicine for Treatment of Opioid Use Disorder: NIDA Summer Research Internship ProgramR01DA048533 · NIDA · HARVARD MEDICAL SCHOOL · PI Haiden A Huskamp, Ateev Mehrotra · 2019 to 2026
$5.6M
Examining the quality of opioid use disorder treatment in a Medicaid research networkR01DA048029 · NIDA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI DONOHUE, JULIE MARIE · 2019 to 2021
$3.5M
HSR&D Research Career Scientist AwardIK6HX003397 · VA · VETERANS HEALTH ADMINISTRATION · PI Kara Zivin · 2021 to 2026
–
NIDA NIH HHS R01 DA048029NIDA NIH HHS R01 DA048533
6 · The paper itself

Abstract

Importance: Federal and state agencies granted temporary regulatory waivers to prevent disruptions in access to medication for opioid use disorder (MOUD) during the COVID-19 pandemic, including expanding access to telehealth for MOUD. Little is known about changes in MOUD receipt and initiation among Medicaid enrollees during the pandemic. Objectives: To examine changes in receipt of any MOUD, initiation of MOUD (in-person vs telehealth), and the proportion of days covered (PDC) with MOUD after initiation from before to after declaration of the COVID-19 public health emergency (PHE). Design, Setting, and Participants: This serial cross-sectional study included Medicaid enrollees aged 18 to 64 years in 10 states from May 2019 through December 2020. Analyses were conducted from January through March 2022. Exposures: Ten months before the COVID-19 PHE (May 2019 through February 2020) vs 10 months after the PHE was declared (March through December 2020). Main Outcomes and Measures: Primary outcomes included receipt of any MOUD and outpatient initiation of MOUD via prescriptions and office- or facility-based administrations. Secondary outcomes included in-person vs telehealth MOUD initiation and PDC with MOUD after initiation. Results: Among a total of 8 167 497 Medicaid enrollees before the PHE and 8 181 144 after the PHE, 58.6% were female in both periods and most enrollees were aged 21 to 34 years (40.1% before the PHE; 40.7% after the PHE). Monthly rates of MOUD initiation, representing 7% to 10% of all MOUD receipt, decreased immediately after the PHE primarily due to reductions in in-person initiations (from 231.3 per 100 000 enrollees in March 2020 to 171.8 per 100 000 enrollees in April 2020) that were partially offset by increases in telehealth initiations (from 5.6 per 100 000 enrollees in March 2020 to 21.1 per 100 000 enrollees in April 2020). Mean monthly PDC with MOUD in the 90 days after initiation decreased after the PHE (from 64.5% in March 2020 to 59.5% in September 2020). In adjusted analyses, there was no immediate change (odds ratio [OR], 1.01; 95% CI, 1.00-1.01) or change in the trend (OR, 1.00; 95% CI, 1.00-1.01) in the likelihood of receipt of any MOUD after the PHE compared with before the PHE. There was an immediate decrease in the likelihood of outpatient MOUD initiation (OR, 0.90; 95% CI, 0.85-0.96) and no change in the trend in the likelihood of outpatient MOUD initiation (OR, 0.99; 95% CI, 0.98-1.00) after the PHE compared with before the PHE. Conclusions and Relevance: In this cross-sectional study of Medicaid enrollees, the likelihood of receipt of any MOUD was stable from May 2019 through December 2020 despite concerns about potential COVID-19 pandemic-related disruptions in care. However, immediately after the PHE was declared, there was a reduction in overall MOUD initiations, including a reduction in in-person MOUD initiations that was only partially offset by increased use of telehealth.

Indexed as

COVID-19Opioid-Related DisordersCross-Sectional StudiesFemaleHumansMaleMedicaidPandemicsUnited States

Identifiers

PMID37327009
PMCPMC10276306

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.