Evidence map›Paper›PMID 33036878›Full record

ArticleJournal of substance abuse treatment2021

Providing addiction services during a pandemic: Lessons learned from COVID-19.

Bruce S Liese, Corey M Monley

Abstract read
In one paragraph

Article in Journal of substance abuse treatment, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
–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

12 citing papers in PubMed.

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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

2 authors.

Bruce S LieseCofrin Logan Center for Addiction Research and Treatment, University of Kansas, United States of America; University of Kansas Medical Center Department of Family Medicine and Community Health, United States of America. Electronic address: bliese@kumc.edu.
Corey M MonleyCofrin Logan Center for Addiction Research and Treatment, University of Kansas, United States of America.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

During the COVID-19 pandemic, social distancing measures have made in-person mutual help groups inaccessible to many individuals struggling with substance use disorders (SUDs). Prior to the pandemic, stakeholders in our community had sponsored a program to train volunteers to facilitate local Self-Management and Recovery Training (SMART Recovery) groups. As a result, the community established seven weekly SMART Recovery groups, which more than 200 community members attended. In March 2020, the community discontinued these groups due to the COVID-19 pandemic. To provide SMART Recovery during social distancing, we developed a one-on-one phone-in service for people with SUDs and addictions: the SMART Recovery Line (SMARTline). In this paper, we share our experience training volunteers to facilitate SMART Recovery groups and SMARTline. As a result of our experience, we have learned to: (1) establish plans in advance to migrate services from face-to-face settings to remote platforms; (2) consider remote platforms that are easily accessible to the greatest number of individuals; (3) include as many stakeholders in the planning process as possible; (4) consider recruiting volunteers to help in the provision of services, especially since many people want to help fellow community members during crises; and (5) anticipate and prepare for crises well before they occur.

Indexed as

COVID-19Health Services AccessibilityHumansPhysical DistancingSelf-Help GroupsSubstance-Related DisordersTelemedicineTelephoneCOVID-19 pandemicMutual help groupsSafety-net programSMART recoveryTelehealthTelephone hotline

Identifiers

PMID33036878
PMCPMC7531327

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.