Evidence map›Paper›PMID 40144112›Full record

ArticleMedical science educator2025

Preparing for Patient Care: A Pre-clerkship Curricular Thread to Improve Learners' Knowledge, Attitudes, and Confidence Treating Patients at Risk for Suicide.

Kirsten A Porter-Stransky, Angela C Davio, Perry Westerman

Abstract read
In one paragraph

Article in Medical science educator, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Kirsten A Porter-StranskyDepartment of Biomedical Sciences, University of South Carolina School of Medicine Greenville, 607 Grove Rd, Greenville, SC 29605 USA.ORCID 0000-0002-9895-8641
Angela C DavioDepartment of Biomedical Sciences, Western Michigan University Homer Stryker M.D. School of Medicine, Kalamazoo, MI USA.
Perry WestermanDepartment of Psychiatry, Western Michigan University Homer Stryker M.D. School of Medicine, Kalamazoo, MI USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Suicide is a leading cause of death. Unfortunately, stigma still surrounds depression and mental health treatment. Many health care providers are uncomfortable broaching the topic with patients. There is an urgent need to better equip future physicians to compassionately identify and treat patients at risk for suicide. To address this problem, we created a novel suicide prevention spiral curricular thread for advanced pre-clerkship medical students. Mixed methods surveys were administered before and after the curriculum. Following completion of the curriculum, learners' confidence identifying and treating patients at risk of suicide significantly increased. Attitudes including professional confidence, therapeutic optimism, and generalist perspective measured by the Revised Depression Attitudes Questionnaire also increased, indicating reduced stigmatizing attitudes and increased knowledge and confidence. Participants reported that engaging in the standardized patient encounter was the most impactful event, although the prior events provided necessary foundational training. This study demonstrates the feasibility and effectiveness of a curricular thread approach during the pre-clerkship phase for training medical students in suicide prevention to prepare them for patient care. Other medical schools can use this framework to design and integrate suicide prevention training into their own curricula.

Indexed as

Active learningCurricular threadMental healthSpiral curriculumStigma

Identifiers

PMID40144112
PMCPMC11933543

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.