Evidence map›Paper›PMID 40519471›Full record

ArticleCureus2025

Thirty Minutes to Transform Care: A Mixed-Methods Study on Brief Psychosomatic Education for Unexplained Symptoms.

Sasha R Sioni, Nathan Carroll, Jay Al-Hashimi, Lesley Manson

Abstract read
In one paragraph

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

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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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

4 authors.

Sasha R SioniMedical Education, Florida International University, Herbert Wertheim College of Medicine, Miami, USA.
Nathan CarrollPsychiatry, Jersey Shore University Medical Center, Neptune Township, USA.
Jay Al-HashimiHealthcare Leadership, Brown University, Providence, USA.
Lesley MansonCollege of Health Solutions, Arizona State University, Phoenix, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionCommunicating effectively with patients who present medically unexplained physical symptoms (MUPS) remains a notable challenge for primary care clinicians. Despite the frequency of MUPS in primary care, few targeted educational interventions focus on improving communication skills for these encounters.

methodsThis single-group, pre-post study evaluated the impact of a concise, 30-minute psychosomatic training module at a large community health center in Phoenix, Arizona (United States). Eighty primary care clinicians (physicians, physician assistants, nurse practitioners, and nurses) received brief didactics on the biopsychosocial model, followed by a case-based discussion and role-play illustrating empathic validation techniques. Assessment measures included (1) the Adapted Somatic Symptom Scale-8 (for MUPS recognition), (2) the Psychosomatic Illness Knowledge Questionnaire, and (3) self-reported knowledge and comfort (KCTMQ). Qualitative reflections were also collected. Wilcoxon signed-rank tests, paired t-tests, and thematic analysis were used to examine changes and capture participant feedback.

resultsSignificant pre-post improvements (p < 0.0001) were observed in MUPS recognition (Cohen's d = 2.04), psychosomatic knowledge (d = 0.94), communication knowledge (d = 0.88), and comfort (d = 0.79). Qualitative data revealed intentions to integrate psychosocial factors earlier in clinical visits, employ validation statements more frequently, and convey increased confidence when addressing mind-body connections.

conclusionA short, 30-minute psychosomatic training session can substantially enhance clinicians' communication competencies for MUPS. Even brief, well-structured interventions may help clinicians better recognize somatic symptoms, validate patient experiences, and apply biopsychosocial principles. Embedding such training into medical education and continuing professional development programs provides a feasible strategy to address communication gaps and potentially improve care for patients with unexplained symptoms.

Indexed as

biopsychosocial approachbrief educational interventionclinician empathy trainingmedically unexplained symptomsmixed-methods researchpatient-centered careprimary care communicationpsychosomatic education

Identifiers

PMID40519471
PMCPMC12164470

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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.