Evidence map›Paper›PMID 39114773›Full record

ArticleCanadian medical education journal2024

Medical training to effectively support patients who use substances across practice settings: a scoping review of recommended competencies.

Christine Ausman, Dawoud Almatar, Niki Kiepek

Abstract readScoping Review
In one paragraph

Article in Canadian medical education journal, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

3 authors.

Christine AusmanDalhousie University, Nova Scotia, Canada.
Dawoud AlmatarDalhousie University, Nova Scotia, Canada.
Niki KiepekDalhousie University, Nova Scotia, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The responsibility for addressing the healthcare needs of PWUS is the responsibility of all physicians. Within the healthcare system, research consistently reveals inequitable experiences in healthcare with people who use substances (PWUS) reporting stigmatization, marginalization, and a lack of compassion. Objectives: The aim of this scoping review was to find and describe competencies being taught, developed, and fostered within medical education and then to provide recommendations to improve care for this population of patients. Results: Nineteen articles were included. Recommended knowledge competencies tend to promote understanding neurophysiological changes caused by substances, alongside knowing how to evaluate of 'risky' behaviours. Commonly recommended skills relate to the screening and management of substance use disorders. Recommended attitude competencies include identifying personal bias and establishing a patient-centered culture among practice teams. The disease model of addiction informed all papers, with no acknowledgement of potential beneficial or non-problematic experiences of substance use. To enhance knowledge-type competencies, medical education programs are advised to include addiction specialists as educators and prevent stigmatization through the hidden curriculum. Conclusion: To reduce experiences of stigmatization and marginalization among patients who use illicit substances and to improve quality of care, knowledge, skills, and attitudes competencies can be more effectively taught in medical education programs.Résumé.

Indexed as

Clinical CompetenceEducation, MedicalSubstance-Related DisordersCurriculumHealth Knowledge, Attitudes, PracticeHumansSocial Stigma

Identifiers

PMID39114773
PMCPMC11302759

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.