Evidence map›Paper›PMID 37461819›Full record

ArticlePsychiatric services (Washington, D.C.)2024

Trends in Opioid Use Disorder Outpatient Treatment and Telehealth Utilization Before and During the COVID-19 Pandemic.

Kayla N Tormohlen, Matthew D Eisenberg, Michael I Fingerhood, Jiani Yu, Alexander D McCourt, Elizabeth A Stuart, Lainie Rutkow, Luis Quintero, Sarah A White, Emma E McGinty

Open access · greenAbstract read
In one paragraph

Article in Psychiatric services (Washington, D.C.), 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
2.3field-weighted citation impact, top 12% 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

8 citing papers in PubMed, 8 citations in OpenAlex.

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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

10 authors at 1 institution in 1 country.

Kayla N TormohlenDepartments of Health Policy and Management (Tormohlen, Eisenberg, McCourt, Stuart, Rutkow, White) and Mental Health (Fingerhood, Stuart), Johns Hopkins Bloomberg School of Public Health, Baltimore; Department of Population Health Sciences, Division of Health Policy and Economics, Weill Cornell Medicine, New York City (Yu, McGinty); Johns Hopkins Carey Business School, Washington, D.C. (Quintero).
Matthew D EisenbergDepartments of Health Policy and Management (Tormohlen, Eisenberg, McCourt, Stuart, Rutkow, White) and Mental Health (Fingerhood, Stuart), Johns Hopkins Bloomberg School of Public Health, Baltimore; Department of Population Health Sciences, Division of Health Policy and Economics, Weill Cornell Medicine, New York City (Yu, McGinty); Johns Hopkins Carey Business School, Washington, D.C. (Quintero).
Michael I FingerhoodDepartments of Health Policy and Management (Tormohlen, Eisenberg, McCourt, Stuart, Rutkow, White) and Mental Health (Fingerhood, Stuart), Johns Hopkins Bloomberg School of Public Health, Baltimore; Department of Population Health Sciences, Division of Health Policy and Economics, Weill Cornell Medicine, New York City (Yu, McGinty); Johns Hopkins Carey Business School, Washington, D.C. (Quintero).
Jiani YuDepartments of Health Policy and Management (Tormohlen, Eisenberg, McCourt, Stuart, Rutkow, White) and Mental Health (Fingerhood, Stuart), Johns Hopkins Bloomberg School of Public Health, Baltimore; Department of Population Health Sciences, Division of Health Policy and Economics, Weill Cornell Medicine, New York City (Yu, McGinty); Johns Hopkins Carey Business School, Washington, D.C. (Quintero).
Alexander D McCourtDepartments of Health Policy and Management (Tormohlen, Eisenberg, McCourt, Stuart, Rutkow, White) and Mental Health (Fingerhood, Stuart), Johns Hopkins Bloomberg School of Public Health, Baltimore; Department of Population Health Sciences, Division of Health Policy and Economics, Weill Cornell Medicine, New York City (Yu, McGinty); Johns Hopkins Carey Business School, Washington, D.C. (Quintero).
Elizabeth A StuartDepartments of Health Policy and Management (Tormohlen, Eisenberg, McCourt, Stuart, Rutkow, White) and Mental Health (Fingerhood, Stuart), Johns Hopkins Bloomberg School of Public Health, Baltimore; Department of Population Health Sciences, Division of Health Policy and Economics, Weill Cornell Medicine, New York City (Yu, McGinty); Johns Hopkins Carey Business School, Washington, D.C. (Quintero).
Lainie RutkowDepartments of Health Policy and Management (Tormohlen, Eisenberg, McCourt, Stuart, Rutkow, White) and Mental Health (Fingerhood, Stuart), Johns Hopkins Bloomberg School of Public Health, Baltimore; Department of Population Health Sciences, Division of Health Policy and Economics, Weill Cornell Medicine, New York City (Yu, McGinty); Johns Hopkins Carey Business School, Washington, D.C. (Quintero).
Luis QuinteroDepartments of Health Policy and Management (Tormohlen, Eisenberg, McCourt, Stuart, Rutkow, White) and Mental Health (Fingerhood, Stuart), Johns Hopkins Bloomberg School of Public Health, Baltimore; Department of Population Health Sciences, Division of Health Policy and Economics, Weill Cornell Medicine, New York City (Yu, McGinty); Johns Hopkins Carey Business School, Washington, D.C. (Quintero).
Sarah A WhiteDepartments of Health Policy and Management (Tormohlen, Eisenberg, McCourt, Stuart, Rutkow, White) and Mental Health (Fingerhood, Stuart), Johns Hopkins Bloomberg School of Public Health, Baltimore; Department of Population Health Sciences, Division of Health Policy and Economics, Weill Cornell Medicine, New York City (Yu, McGinty); Johns Hopkins Carey Business School, Washington, D.C. (Quintero).
Emma E McGintyDepartments of Health Policy and Management (Tormohlen, Eisenberg, McCourt, Stuart, Rutkow, White) and Mental Health (Fingerhood, Stuart), Johns Hopkins Bloomberg School of Public Health, Baltimore; Department of Population Health Sciences, Division of Health Policy and Economics, Weill Cornell Medicine, New York City (Yu, McGinty); Johns Hopkins Carey Business School, Washington, D.C. (Quintero).
Johns Hopkins University · US

Funding

Studying How State and Local Health Services Delivery Policies can Mitigate the Effects of Disasters on Drug Addiction Treatment and Overdose: A Mixed-Methods Study of COVID-19.R01DA053232 · NIDA · JOHNS HOPKINS UNIVERSITY · PI EISENBERG, MATTHEW, MCGINTY, EMMA ELIZABETH · 2021 to 2024
$2.8M
NIDA NIH HHS R01 DA053232
6 · The paper itself

Abstract

objectiveThe authors examined trends in opioid use disorder treatment and in-person and telehealth modalities before and after COVID-19 pandemic onset among patients who had received treatment prepandemic.

methodsThe sample included 13,113 adults with commercial insurance or Medicare Advantage and receiving opioid use disorder treatment between March 2018 and February 2019. Trends in opioid use disorder outpatient treatment, treatment with medications for opioid use disorder (MOUD), and in-person and telehealth modalities were examined 1 year before pandemic onset and 2 years after (March 2019-February 2022).

resultsFrom March 2019 to February 2022, the proportion of patients with opioid use disorder outpatient and MOUD visits declined by 2.8 and 0.3 percentage points, respectively. Prepandemic, 98.6% of outpatient visits were in person; after pandemic onset, at least 34.9% of patients received outpatient care via telehealth.

conclusionsDisruptions in opioid use disorder outpatient and MOUD treatments were marginal during the pandemic, possibly because of increased telehealth utilization.

Indexed as

COVID-19Medicare Part COpioid-Related DisordersTelemedicineAdultAgedHumansOutpatientsPandemicsUnited StatesCovid-19Opioid use disorderOutpatient treatmentPublic healthSubstance use disorder

Identifiers

PMID37461819
PMCPMC11034749
OpenAlexW4384626051

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.