Evidence map›Paper›PMID 32181385›Full record

ArticleHeliyon2020

Social media as an emerging tool for reducing prescription opioid misuse risk factors.

Sean D Young, Sung-Jae Lee, Hendry Perez, Navkiran Gill, Lillian Gelberg, Keith Heinzerling

Open access · goldAbstract read
In one paragraph

Article in Heliyon, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
3.8field-weighted citation impact, top 6% 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

19 citing papers in PubMed, 28 citations in OpenAlex.

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  10. Potential Effects of Digital Inequality on Treatment Seeking for Opioid Use Disorder.International journal of mental health and addiction · 2023
    Article
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  19. The Impact of Misinformation and Health Literacy on HIV Prevention and Service Usage.The Journal of the Association of Nurses in AIDS Care : JANAC
    Article
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 3 institutions in 1 country.

Sean D YoungDepartment of Informatics, School of Information and Computer Sciences, University of California, Irvine, CA, USA.
Sung-Jae LeeDepartment of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine, University of California, Los Angeles, CA, USA.
Hendry PerezDepartment of Family Medicine, David Geffen School of Medicine, University of California, Los Angeles, CA, USA.
Navkiran GillUniversity of California Institute for Prediction Technology, David Geffen School of Medicine, University of California, Los Angeles, CA, USA.
Lillian GelbergDepartment of Family Medicine, David Geffen School of Medicine, University of California, Los Angeles, CA, USA.
Keith HeinzerlingDepartment of Family Medicine, David Geffen School of Medicine, University of California, Los Angeles, CA, USA.
University of California, Los Angeles · USUniversity of California, Irvine · USUniversity of California System · US

Funding

UCLA Rapid, Relevant, Rigorous Implementation Science HubP30MH058107 · NIMH · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI Nina Thawata Harawa · 1997 to 2026
$53.5M
NIMH NIH HHS P30 MH058107
6 · The paper itself

Abstract

Interventions are urgently needed to reduce prescription opioid misuse risk factors, including anxiety and concomitant use of sedatives. However, only a limited number of randomized controlled opioid intervention trials have been conducted. We sought to determine whether an online behavior change/support community, compared to a control Facebook group, could reduce anxiety and opioid misuse among chronic pain patients. 51 high-risk non-cancer chronic pain patients were randomly assigned to either a Harnessing Online Peer Education (HOPE) peer-led online behavior change intervention or a control group (no peer leaders) on Facebook for 12 weeks. Inclusion criteria were: 18 years or older, a UCLA Health System patient, prescribed an opioid for non-cancer chronic pain between 3 and 12 months ago, and a score of ≥9 on the Current Opioid Misuse Measure (COMM) and/or concomitant use of benzodiazepines. Participation in the online community was voluntary. Patients completed baseline and follow-up assessments on Generalized Anxiety Disorder screener (GAD-7), COMM, and frequency of social media discussions about pain and opioid use. Compared to control group participants, intervention participants showed a baseline-to-follow-up decrease in anxiety, and more frequently used social media to discuss pain, prescription opioid use, coping strategies, places to seek help, and alternative therapies for pain. Both groups showed a baseline to follow-up decrease in COMM score. Preliminary results support the use an online community interventions as a low-cost tool to decrease risk for prescription opioid misuse and its complications.

Indexed as

AddictionApplied psychologyChronic painInformation scienceInformation technologyOpioid crisisOpioidsPublic healthSocial mediaSOCIAL MEDIA

Identifiers

PMID32181385
PMCPMC7062763
OpenAlexW3009149406

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.