Evidence map›Paper›PMID 38315269›Full record

ArticleAdvances in health sciences education : theory and practice2024

Medical students' motivations for participating in an elective focused on social inequalities and health disparities.

Shahna Arps, Krista McCarthy Noviski, Lauren Tucker, Ameisha Tutwiler

Abstract read
In one paragraph

Article in Advances in health sciences education : theory and practice, 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
–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

1 citing paper in PubMed.

  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

4 authors.

Shahna ArpsDepartment of Sociology and Anthropology, University of Toledo, Toledo, OH, USA. shahna.arps@utoledo.edu.ORCID 0000-0002-2305-9342
Krista McCarthy NoviskiJudith Herb College of Education, University of Toledo, Toledo, OH, USA.
Lauren TuckerCollege of Medicine and Life Sciences, University of Toledo, Toledo, OH, USA.
Ameisha TutwilerCollege of Medicine and Life Sciences, University of Toledo, Toledo, OH, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this study, we examine students' reasons for pursuing elective training focused on medical racism and systemic health inequities at a midwestern medical school. Data collection included semi-structured interviews with students who participated in an optional course focused on these topics. We analyzed their motivations, goals, and interests using reflexive thematic analysis and created three themes based on students' responses. Theme (1) "pre-existing conditions" focuses on students' knowledge, beliefs, worldviews and experience prior to the class. Theme (2) "enacting change" examines their desires to become effective physicians and improve medicine overall. Theme (3) "creating community" considers their preferences for a supportive and connected learning and social environment. We discuss the findings within the context of adult learning theory and Self-Determination Theory. The research provides insight about the overt and underlying factors that drive medical students' participation in training focused on social inequality. We also share recommendations for curriculum development and future research based on the patterns we found in students' discussions of their needs and expectations.

Indexed as

MotivationStudents, MedicalAdultCurriculumEducation, Medical, UndergraduateFemaleHealth InequitiesHealth Status DisparitiesHumansInterviews as TopicMaleQualitative ResearchRacismYoung AdultAdult learning theoryHealth disparitiesMedical educationSocial inequalitiesStudent motivations

Identifiers

PMID38315269
PMCPMC11369016

What OpenQuestion holds

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LicenceCC BY
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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.