Evidence map›Paper›PMID 40530347›Full record

ArticleFederal practitioner : for the health care professionals of the VA, DoD, and PHS2025

Hearing Patient Stories: Use of Medical Humanities on a Large-Scale, Virtual Platform to Improve Clinician Engagement.

Brianna Rossiter, Amy Farkas, Christine Kolehmainen, Melissa McNeil, Sarah Merriam

Abstract read
In one paragraph

Article in Federal practitioner : for the health care professionals of the VA, DoD, and PHS, 2025. 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

5 authors.

Brianna RossiterVeterans Affairs Pittsburgh Health Care System, Pennsylvania.
Amy FarkasMilwaukee Veterans Affairs Medical Center, Wisconsin.
Christine KolehmainenUniversity of Wisconsin School of Medicine and Public Health, Madison.
Melissa McNeilBrown University Rhode Island Hospital, Providence.
Sarah MerriamVeterans Affairs Pittsburgh Health Care System, Pennsylvania.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Burnout and disengagement are common among primary care practitioners (PCPs), particularly those who provide women's health care at the Veterans Health Administration. The shift to virtual care forced by the COVID-19 pandemic exacerbated this issue, which may also impact clinician attrition, the patient-clinician relationship, and ultimately, patient health. Observations: Physicians who participate in the medical humanities have more empathy and experience less burnout. To improve satisfaction and engagement among PCPs who care for women veterans, this large-scale, virtual, interprofessional narrative medicine event was implemented to gain a deeper appreciation of the impact of deployments on women veterans, describe the social and emotional challenges faced by women veterans postdeployment, and identify strategies to support veterans during reintegration. This novel use of medical media resulted in high attendance (> 800 participants) and engagement (> 1700 unique chat messages, with > 80 spontaneous replies). Findings suggest a potential shift in clinician appreciation and a positive impact on the patient-clinician relationship. Conclusions: Medical humanities interventions are feasible on a large-scale virtual implementation. This curriculum demonstrates the successful utilization of women veterans' stories for demonstrating a positive clinician impact as evidenced by the extensive participation, engagement, and participant satisfaction.

Identifiers

PMID40530347
PMCPMC12169634

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.