Evidence map›Paper›PMID 34457675›Full record

ArticleMedical science educator2020

Structural Competency of Pre-health Students: Can a Single Course Lead to Meaningful Change?

Alissa Ruth, Cindi SturtzSreetharan, Alexandra Brewis, Amber Wutich

Abstract read
In one paragraph

Article in Medical science educator, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
–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

4 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. 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.

Alissa RuthSchool of Human Evolution and Social Change, Arizona State University, PO Box 872402, Tempe, AZ 85287-2402 USA.ORCID 0000-0001-6482-1922
Cindi SturtzSreetharanSchool of Human Evolution and Social Change, Arizona State University, PO Box 872402, Tempe, AZ 85287-2402 USA.
Alexandra BrewisSchool of Human Evolution and Social Change, Arizona State University, PO Box 872402, Tempe, AZ 85287-2402 USA.
Amber WutichSchool of Human Evolution and Social Change, Arizona State University, PO Box 872402, Tempe, AZ 85287-2402 USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Scholars within the medical sciences recently have called on undergraduate educators to incorporate the social sciences in order to teach pre-health students structural competencies - or the ability to articulate how social structures produce racial, ethnic, gender, class, and other disparities - in order to better serve these populations medically. Authors used a semester-long course to assess how experiential learning focused on the topic of structural inequities improves structural competency. In Fall 2018, 27 students completed a hands-on, experiential, course focused on structural factors and health disparities. The authors conducted a mixed-methods, pre-/post-test design to solicit data on students' views on the reasons for high rates of obesity, gender pay disparities, and racial/ethnic housing segregation. Using systematic qualitative data analysis and statistical analysis of coded answers, the authors were able to detect pre-/post-test differences in the number of times students identified structural reasons for the disparities. Statistical analysis showed that students were able to identify an average of 4.63 structural reasons at pre-test, and that increased to 5.93 reasons at post-test (statically significant (

Indexed as

Curriculum developmentExperiential learningPre-healthStructural competencies

Identifiers

PMID34457675
PMCPMC8368733

What OpenQuestion holds

Textmetadata
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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.