Evidence map›Paper›PMID 35899380›Full record

ArticleThe American journal of psychiatry2022

Impact of COVID-19 Telehealth Policy Changes on Buprenorphine Treatment for Opioid Use Disorder.

Lewei Allison Lin, Lan Zhang, Hyungjin Myra Kim, Madeline C Frost

Open access · greenAbstract read
In one paragraph

Article in The American journal of psychiatry, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 1 pooled it
8.6field-weighted citation impact, top 2% 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

25 citing papers in PubMed, 1 synthesis or guideline pooled it, 44 citations in OpenAlex.

  1. Pooled it
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  13. 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
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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

4 authors at 1 institution in 1 country.

Lewei Allison LinVA Center for Clinical Management Research, VA Ann Arbor Healthcare System, Ann Arbor, Mich. (Lin, Zhang, Kim); Addiction Center, Department of Psychiatry, University of Michigan, Ann Arbor (Lin, Zhang); University of Michigan Injury Prevention Center, Ann Arbor (Lin); Consulting for Statistics, Computing, and Analytics Research, University of Michigan, Ann Arbor (Kim); Department of Health Systems and Population Health, University of Washington School of Public Health, Seattle (Frost); Health Services Research and Development Center of Innovation for Veteran-Centered and Value-Driven Care, VA Puget Sound Health Care System, Seattle (Frost).
Lan ZhangVA Center for Clinical Management Research, VA Ann Arbor Healthcare System, Ann Arbor, Mich. (Lin, Zhang, Kim); Addiction Center, Department of Psychiatry, University of Michigan, Ann Arbor (Lin, Zhang); University of Michigan Injury Prevention Center, Ann Arbor (Lin); Consulting for Statistics, Computing, and Analytics Research, University of Michigan, Ann Arbor (Kim); Department of Health Systems and Population Health, University of Washington School of Public Health, Seattle (Frost); Health Services Research and Development Center of Innovation for Veteran-Centered and Value-Driven Care, VA Puget Sound Health Care System, Seattle (Frost).
Hyungjin Myra KimVA Center for Clinical Management Research, VA Ann Arbor Healthcare System, Ann Arbor, Mich. (Lin, Zhang, Kim); Addiction Center, Department of Psychiatry, University of Michigan, Ann Arbor (Lin, Zhang); University of Michigan Injury Prevention Center, Ann Arbor (Lin); Consulting for Statistics, Computing, and Analytics Research, University of Michigan, Ann Arbor (Kim); Department of Health Systems and Population Health, University of Washington School of Public Health, Seattle (Frost); Health Services Research and Development Center of Innovation for Veteran-Centered and Value-Driven Care, VA Puget Sound Health Care System, Seattle (Frost).
Madeline C FrostVA Center for Clinical Management Research, VA Ann Arbor Healthcare System, Ann Arbor, Mich. (Lin, Zhang, Kim); Addiction Center, Department of Psychiatry, University of Michigan, Ann Arbor (Lin, Zhang); University of Michigan Injury Prevention Center, Ann Arbor (Lin); Consulting for Statistics, Computing, and Analytics Research, University of Michigan, Ann Arbor (Kim); Department of Health Systems and Population Health, University of Washington School of Public Health, Seattle (Frost); Health Services Research and Development Center of Innovation for Veteran-Centered and Value-Driven Care, VA Puget Sound Health Care System, Seattle (Frost).
VA Center for Clinical Management Research · US

Funding

CE19-001, University of Michigan Injury Prevention Center 2019-2024R49CE003085 · CE · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI CARTER, PATRICK M. · 2018 to 2023
$4.4M
Using telehealth to expand treatment access for Veterans with opioid use disorderIK2HX002612 · VA · VETERANS HEALTH ADMINISTRATION · PI LIN, LEWEI ALLISON · 2019 to 2024
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ACL HHS R49CE003085EPA EP-C-18-008HSRD VA IK2 HX002612NCIPC CDC HHS R49 CE003085
6 · The paper itself

Abstract

objectiveThe authors examined the impact of COVID-19-related policies reducing barriers to telehealth delivery of buprenorphine treatment for opioid use disorder (OUD) on buprenorphine treatment across different modalities (telephone, video, and in-person visits).

methodsThis was a national retrospective cohort study with interrupted time-series analyses to examine the impact of policy changes in March 2020 on buprenorphine treatment for OUD in the Veterans Health Administration, during the year before the start of the COVID-19 pandemic (March 2019 to February 2020) and during the first year of the pandemic (March 2020 to February 2021). The authors also examined trends in the use of telephone, video, and in-person visits for buprenorphine treatment and compared patient demographic characteristics and retention in buprenorphine treatment across the two periods.

resultsThe number of patients receiving buprenorphine increased from 13,415 in March 2019 to 15,339 in February 2021. By February 2021, telephone visits were used by the most patients (50.2%; 4,456 visits), followed by video visits (32.4%; 2,870 visits) and in-person visits (17.4%; 1,544 visits). During the pre-pandemic period, the number of patients receiving buprenorphine increased significantly by 103 patients per month. After the COVID-19 policy changes, there was an immediate increase of 265 patients in the first month, and the number continued to increase significantly, at a rate of 47 patients per month. The demographic characteristics of patients receiving buprenorphine during the pandemic period were similar to those during the pre-pandemic period, but the proportion of patients reaching 90-day retention on buprenorphine treatment decreased significantly from 49.6% to 47.7%, while days on buprenorphine increased significantly from 203.8 to 208.7.

conclusionsThe number of patients receiving buprenorphine continued to increase after the COVID-19 policy changes, but the delivery of care shifted to telehealth visits, suggesting that any reversal of COVID-19 policies must be carefully considered.

Indexed as

BuprenorphineCOVID-19Opioid-Related DisordersTelemedicineHumansOpiate Substitution TreatmentPandemicsPolicyRetrospective StudiesBuprenorphineAddiction PsychiatryCoronavirus/COVID-19Medication-Assisted TreatmentOpioidsSubstance-Related and Addictive DisordersTelemedicine

Identifiers

PMID35899380
PMCPMC9529783
OpenAlexW4288077275

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.