Evidence map›Paper›PMID 38388788›Full record

ArticleAcademic psychiatry : the journal of the American Association of Directors of Psychiatric Residency Training and the Association for Academic Psychiatry2024

Evaluation of Two Videos that Apply Evidence-Based Strategies to Increase Self-Efficacy and Reduce Opioid-Related Stigma Among Medical Students.

Evan L Eschliman, Karen Choe, Y Christine Fei, Chris Kang, Jeffrey Koetje, Alex Harocopos, Melanie N Harris, Julia DeWalt, Stacy A Christopher, Valerie W Jackson and 1 more

Open access · greenAbstract read
In one paragraph

Article in Academic psychiatry : the journal of the American Association of Directors of Psychiatric Residency Training and the Association for Academic Psychiatry, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
2.6field-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

1 citing paper in PubMed, 4 citations in OpenAlex.

  1. 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

11 authors at 5 institutions in 1 country.

Evan L EschlimanJohns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA. evan.e@columbia.edu.ORCID http://orcid.org/0000-0001-6478-4615
Karen ChoeSchool of Global Public Health, New York University, New York, NY, USA.
Y Christine FeiJohns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
Chris KangSchool of Global Public Health, New York University, New York, NY, USA.
Jeffrey KoetjeAmerican Medical Student Association, Washington, DC, USA.
Alex HarocoposNew York City Department of Health and Mental Hygiene, New York, NY, USA.
Melanie N HarrisNew York City Department of Health and Mental Hygiene, New York, NY, USA.
Julia DeWaltNew York City Department of Health and Mental Hygiene, New York, NY, USA.
Stacy A ChristopherNew York City Department of Health and Mental Hygiene, New York, NY, USA.
Valerie W JacksonUniversity of California San Francisco, San Francisco, CA, USA.
Lawrence H YangSchool of Global Public Health, New York University, New York, NY, USA.
New York City Department of Health and Mental Hygiene · USNew York University · USJohns Hopkins University · USAmerican Medical Student Association · USUniversity of California, San Francisco · US

Funding

Substance Abuse Epidemiology Training Program (SAETP) at Columbia UniversityT32DA031099 · NIDA · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI DEBORAH S HASIN, Silvia Saboia Martins · 2012 to 2026
$6.1M
CDC HHS NU17CE924978NIDA NIH HHS T32 DA031099NIDA NIH HHS T32DA031099
6 · The paper itself

Abstract

objectiveThis study evaluated the video-based application of evidence-based stigma reduction strategies to increase medical students' screening-diagnostic self-efficacy for opioid use disorder (OUD) and reduce stigma toward opioid use.

methodsFormative qualitative research informed development of two videos for medical students. One uses an education strategy by including education regarding non-stigmatizing language use and OUD screening and diagnosis (Video A); the other uses an interpersonal contact strategy by presenting narratives regarding opioid use from three people who have a history of opioid use and three physicians (Video B). Both videos were administered to all respondents, with video order randomized. Effects on outcomes were evaluated using a pre-/post-test design with a 1-month follow-up. Participants also provided feedback on video content and design.

resultsMedical students (N = 103) watched the videos and completed the pre-/post-test, with 99% (N = 102) completing follow-up 1 month after viewing both videos. Self-efficacy increased directly following viewing Video A, and this increase was sustained at 1-month follow-up. Stigma toward opioid use decreased directly following viewing Video B, and this decrease was sustained at 1-month follow-up for participants who watched Video B first. Statistically significant improvements were observed in most secondary outcomes (e.g., harm reduction acceptability) directly following watching each video and most were sustained at 1-month follow-up. Feedback about the videos suggested the delivery of evidence-based strategies in each video was appropriate.

conclusionsVideo-based applications of these evidence-based strategies were found acceptable by medical students and have potential to elicit sustained improvement in their screening-diagnostic self-efficacy and opioid-related stigma.

Indexed as

Analgesics, OpioidSocial StigmaStudents, MedicalFeedbackHumansOpioid-Related DisordersSelf EfficacyAnalgesics, OpioidEvaluationMedical educationOpioid use disorderStigmaSubstance use

Identifiers

PMID38388788
PMCPMC10954387
OpenAlexW4392029772

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.