Evidence map›Paper›PMID 39906325›Full record

ArticleQualitative research in medicine & healthcare2024

"Suicide's very abstract": A qualitative analysis of risk assessment training recommendations from family physicians.

Mark A Dixon, Kathleen A McNamara, David A Moss

Abstract read
In one paragraph

Article in Qualitative research in medicine & healthcare, 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. Reducing the 'Silence Between Sessions': A Qualitative Study on Youth and Professionals' Perspectives on Digital Tools for Suicide Prevention.Health expectations : an international journal of public participation in health care and health policy · 2026
    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.

Mark A DixonUnited States Air Force, Mental Health Clinic, Travis Air Force Base, CA.
Kathleen A McNamaraUnited States Air Force, Family Medicine Residency Clinic, Nellis Air Force Base, NV.
David A MossIntegrative Medicine Clinic, Nellis Air Force Base, NV.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Suicide risk has consistently increased over the past 2.5 decades, despite growing awareness and tailored programs aimed at combating this epidemic. Suicide prevention initiatives include ensuring 24/7 access to crisis hotlines, encouraging individuals to seek mental health care, and reducing access to lethal means among high-risk populations. A recent area of focus is the physician's office, as research shows that nearly half of those who die by suicide had seen a primary care physician within one month of their death. However, primary care physicians do not consistently inquire about suicide risk among their patients. This study presents findings from 15 interviews with family medicine residents at a U.S. military hospital. Participants identified gaps in three key areas of training: i) foundational knowledge (e.g., risk assessment flow, available tools and resources, and therapeutic skills), ii) training program structure (e.g., timing, exposure, and effectiveness), and iii) training culture (e.g., fostering courage and support). Residents recognized their central role in suicide prevention and were eager to address perceived gaps in their knowledge. They also shared their ideal training environment, which would support learning and skill development. This paper offers clear and actionable recommendations for family medicine residency programs to advance the suicide prevention agenda.

Indexed as

family medicinePrimary careresidencysuicide assessmenttraining

Identifiers

PMID39906325
PMCPMC11791472

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.