Evidence map›Paper›PMID 37364381›Full record

ArticlePatient education and counseling2023

"How's your mood": Recorded physician mental health conversations with Chinese and Latino patients in routine primary care visits.

Evelyn Y Ho, Leah S Karliner, Genevieve Leung, Raneem Harb, Giselle Aguayo Ramirez, Maria E Garcia

Open access · greenAbstract read
In one paragraph

Article in Patient education and counseling, 2023. 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
1.0field-weighted citation impact, top 24% of its field
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, 3 citations in OpenAlex.

  1. Article
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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

6 authors at 2 institutions in 1 country.

Evelyn Y HoDepartment of Communication Studies, University of San Francisco, San Francisco, CA, USA; Asian American Research Center on Health, University of California, San Francisco, San Francisco, CA, USA. Electronic address: eyho@usfca.edu.
Leah S KarlinerMultiethnic Health Equity Research Center, Division of General Internal Medicine, Department of Medicine, University of California, San Francisco, San Francisco, CA, USA; Division of General Internal Medicine, Department of Medicine, University of California, San Francisco, San Francisco, CA, USA.
Genevieve LeungDepartment of Rhetoric and Language, University of San Francisco, San Francisco, CA, USA.
Raneem HarbDepartment of Communication Studies, University of San Francisco, San Francisco, CA, USA.
Giselle Aguayo RamirezMultiethnic Health Equity Research Center, Division of General Internal Medicine, Department of Medicine, University of California, San Francisco, San Francisco, CA, USA; Division of General Internal Medicine, Department of Medicine, University of California, San Francisco, San Francisco, CA, USA.
Maria E GarciaMultiethnic Health Equity Research Center, Division of General Internal Medicine, Department of Medicine, University of California, San Francisco, San Francisco, CA, USA; Division of General Internal Medicine, Department of Medicine, University of California, San Francisco, San Francisco, CA, USA; Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, CA, USA.
University of California, San Francisco · USUniversity of San Francisco · US

Funding

Mentoring Researchers on Clinical Communication With Diverse Aging PopulationsK24AG067003 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI KARLINER, LEAH S · 2021 to 2025
$943k
Equity in Depression Care for Primary Care Patients with Language BarriersK23MD015115 · NIMHD · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI GARCIA, MARIA ESTELI · 2020 to 2024
$860k
NIA NIH HHS K24 AG067003NIMHD NIH HHS K23 MD015115
6 · The paper itself

Abstract

objectivePatient-physician communication patterns may influence discussions around depressive symptoms and contribute to engagement in depression care among racial/ethnic minority adults. We examined patient-physician communication about depressive symptoms during routine primary care visits with Chinese and Latino patients with and without language barriers.

methodsWe examined 17 audio-recorded conversations between primary care physicians and Chinese (N = 7) and Latino (N = 10) patients who discussed mental health during their visit and reported depressive symptoms on a post-visit survey. Conversations (in English, Cantonese, Mandarin, Hoisan-wa, Spanish) were transcribed and translated by bilingual/bicultural research assistants and analyzed using inductive and deductive thematic and discourse analysis.

resultsPatients initiated mental health discussion in eleven visits. Physicians demonstrated care in word choice and sometimes avoided openly mentioning depression; this could contribute to miscommunication around symptoms and treatment goals. Interpreters had difficulty finding single words to convey terms used by either patients or physicians.

conclusionPatients and doctors appeared willing to discuss mental health; however, variability in terminology presented challenges in mental health discussions in this culturally and linguistically diverse sample. PRACTICE IMPLICATIONS: Further understanding patient preferred terminology about mental health symptoms and interpreter training in these terms could improve patient-physician communication about depressive symptoms and treatment preferences.

Indexed as

CommunicationMental HealthPhysician-Patient RelationsAdultCommunication BarriersEast Asian PeopleEthnicityHispanic or LatinoHumansMinority GroupsPhysiciansPrimary Health CareDepressionLanguage barriersLimited English proficiencyMental healthPhysician patient communication

Identifiers

PMID37364381
PMCPMC10528172
OpenAlexW4380091358

What OpenQuestion holds

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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.