Evidence map›Paper›PMID 34183213›Full record

ArticleJournal of substance abuse treatment2022

The impact of COVID-19 on substance use disorder treatment in California: Service providers' perspectives.

Chunqing Lin, Sarah E Clingan, Sarah J Cousins, Jonathan Valdez, Larissa J Mooney, Yih-Ing Hser

Open access · bronzeAbstract read
In one paragraph

Article in Journal of substance abuse treatment, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
4.5field-weighted citation impact, top 5% 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

28 citing papers in PubMed, 39 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

6 authors at 1 institution in 1 country.

Chunqing LinIntegrated Substance Abuse Programs, Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, USA; Semel Institute-Center for Community Health, Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, CA, USA. Electronic address: lincq@ucla.edu.
Sarah E ClinganIntegrated Substance Abuse Programs, Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, USA.
Sarah J CousinsIntegrated Substance Abuse Programs, Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, USA.
Jonathan ValdezIntegrated Substance Abuse Programs, Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, USA.
Larissa J MooneyIntegrated Substance Abuse Programs, Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, USA; Department of Psychiatry, Veterans Affairs Greater Los Angeles Healthcare System, USA.
Yih-Ing HserIntegrated Substance Abuse Programs, Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, USA.
Neurobehavioral Systems · US

Funding

UCLA Rapid, Relevant, Rigorous Implementation Science HubP30MH058107 · NIMH · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI Sung-Jae Lee · 1997 to 2026
$53.5M
Greater Southern California Node of the Clinical Trials NetworkUG1DA049435 · NIDA · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI YIH-ING HSER · 2019 to 2026
$16.7M
Patient Decision Aid for Medication-Assisted Treatment for Opioid Use DisorderR33DA045844 · NIDA · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI HSER, YIH-ING, MOONEY, LARISSA JEANETTE · 2018 to 2020
$1.6M
Patient Decision Aid for Medication-Assisted Treatment for Opioid Use DisorderR21DA045844 · NIDA · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI HSER, YIH-ING, MOONEY, LARISSA JEANETTE · 2017 to 2017
$223k
NIDA NIH HHS R21 DA045844NIDA NIH HHS R33 DA045844NIDA NIH HHS UG1 DA049435NIMH NIH HHS P30 MH058107
6 · The paper itself

Abstract

backgroundThe COVID-19 pandemic has had a profound impact on the U.S. health care system, including addiction treatment. The objective of this study is to describe the impact of COVID on the delivery of treatment for substance use disorders (SUDs) from the perspectives of service providers.

methodsBetween May and September 2020, 61 service providers from 16 SUD treatment sites in California participated in virtual focus groups that lasted about an hour. We recorded the discussions and transcribed them verbatim. Two qualitative analysts independently conducted content analysis to identify themes from the transcripts.

resultsAt the beginning of the pandemic, service providers observed a slight decrease in patient admissions, followed by an uptick in patient flow due to increased mental health issues, alcohol use, and relapse. Many of the clinics adopted flexible service delivery modes, such as curbside dosing and extended take-home medication, to enable social distancing in clinic settings. Approximately half of the clinic encounters offered telemedicime, and a considerable proportion of patients preferred to use telephone-based services rather than video-based services. Internet instability and technical difficulties limited the use of telemedicine among their patients.

conclusionCOVID has been challenging for SUD treatment, but health care systems rapidly reacted with adjustments that may result in long-term changes in SUD service delivery. Telemedicine-based services have played a major role in ensuring uninterrupted patient care. Providers need organizational, technical, and logistical support to improve and sustain telemedicine services that increase access to quality care for their patients.

Indexed as

COVID-19Substance-Related DisordersTelemedicineHumansPandemicsSARS-CoV-2COVID-19Qualitative researchService providerSubstance use disorder

Identifiers

PMID34183213
PMCPMC8702565
OpenAlexW3176250879

What OpenQuestion holds

Textmetadata
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.