Evidence map›Paper›PMID 37538106›Full record

ArticleJournal of medical education and curricular development

Engaging the Entire Learner: Pathway Program Administrators' Experiences of Providing Students with Research Experiences in Academic Medicine.

Sarah Jung, Alexandra A Rosser, Esra Alagoz

Abstract read
In one paragraph

Article in Journal of medical education and curricular development. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Learning from medical errors.CVIR endovascular · 2024
    Review
  2. 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.

Sarah JungDepartment of Surgery, University of Wisconsin-Madison, Madison, WI, USA.ORCID https://orcid.org/0000-0001-8226-7566
Alexandra A RosserInsights Analytics, Madison, WI, USA.
Esra AlagozDepartment of Surgery, University of Wisconsin-Madison, Madison, WI, USA.

Funding

University of Wisconsin Institute for Clinical and Translational ResearchUL1TR002373 · NCATS · UNIVERSITY OF WISCONSIN-MADISON · PI ELIZABETH S BURNSIDE, Allan R. Brasier · 2017 to 2026
$75.9M
NCATS NIH HHS UL1 TR002373
6 · The paper itself

Abstract

Objective: Pathway programs designed to recruit and retain students from groups historically excluded from science and medicine have focused on providing academic and social support through programs that provide mentored experiences. However, for students in science, technology, engineering, math, and medicine (STEMM) majors, students from underrepresented groups tend to leave science-oriented programs at higher rates than students who are not underrepresented. As such, they are also underrepresented in medical fields, including academic medicine. Insight into how pathway programs contribute to addressing this issue is critical. Methods: This study took a qualitative approach to investigating the experiences of pathway program administrators in academic medicine. Interviews were conducted with 12 program administrators working on 8 different programs throughout the country. Interviews were analyzed using directed content analysis while also allowing for the development of new themes based on the data. Results: The codes were organized into 6 overarching themes: Conclusions: The greatest overall challenge described was finding and sustaining relationships with faculty and nonfaculty mentors. To address this issue, many programs have worked within their institutions to incentivize this work. For

Indexed as

academic medicinepathway programsqualitative methodsunderrepresented students

Identifiers

PMID37538106
PMCPMC10395169

What OpenQuestion holds

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LicenceCC BY-NC
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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.