Evidence map›Paper›PMID 40848279›Full record

ArticleJournal of the American Medical Informatics Association : JAMIA2025

Envisioning the future of primary care: intervention strategies to support patient-centered communication feedback technology.

Raina Langevin, Deepthi Mohanraj, Libby Shah, Janice Sabin, Brian R Wood, Wanda Pratt, Nadir Weibel, Andrea L Hartzler

Abstract read
In one paragraph

Article in Journal of the American Medical Informatics Association : JAMIA, 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

8 authors.

Raina LangevinDepartment of Biomedical Informatics and Medical Education, University of Washington, Seattle, WA 98195, United States.
Deepthi MohanrajBurrell College of Osteopathic Medicine, Las Cruces, NM, 88001, United States.
Libby ShahDepartment of Biomedical Informatics and Medical Education, University of Washington, Seattle, WA 98195, United States.
Janice SabinDepartment of Biomedical Informatics and Medical Education, University of Washington, Seattle, WA 98195, United States.
Brian R WoodDepartment of Medicine, University of Washington School of Medicine, Seattle, WA, 98195, United States.
Wanda PrattDepartment of Biomedical Informatics and Medical Education, University of Washington, Seattle, WA 98195, United States.
Nadir WeibelDepartment of Computer Science and Engineering, University of California San Diego, La Jolla, CA, 92093, United States.
Andrea L HartzlerDepartment of Biomedical Informatics and Medical Education, University of Washington, Seattle, WA 98195, United States.ORCID 0000-0003-4932-7314

Funding

Transform Dissemination and Implementation Science in CTSA ProgramsUL1TR002319 · NCATS · UNIVERSITY OF WASHINGTON · PI John K. Amory · 2017 to 2026
$100.0M
University of Washington Biomedical Informatics and Data Science Research Training ProgramT15LM007442 · NLM · UNIVERSITY OF WASHINGTON · PI JOHN H. GENNARI, Andrea L. Hartzler · 2002 to 2026
$19.6M
UnBIASED: Understanding Biased patient-provider Interaction And Supporting Enhanced DiscourseR01LM013301 · NLM · UNIVERSITY OF WASHINGTON · PI HARTZLER, ANDREA L. · 2019 to 2023
$3.0M
Data Science Research Training LM 007442NCATS NIH HHS UL1 TR002319NIH HHS #1R01LM013301NIH HHS UL1 TR002319NLM NIH HHS R01 LM013301NLM NIH HHS T15 LM007442University of Washington Biomedical Informatics
6 · The paper itself

Abstract

objectiveClinician implicit bias can impede patient-centered communication, leading to health care inequities. While the field of implicit bias education is evolving with advances in technology, clinicians' perspectives remain underexplored. This study investigated clinicians' perceptions of educational strategies to complement communication feedback technology in the implementation of an implicit bias education intervention. MATERIALS AND

methodsWe recruited primary care practitioners in remote interviews to brainstorm future technologies for improving clinician awareness of implicit bias in patient-provider communication. Participants completed an online survey in which they rated the priority of educational strategies that could complement the technology. We performed inductive-deductive thematic analysis of the interview data with Implicit Bias Recognition and Management (IBRM) domains as a priori codes and used descriptive statistics to summarize the survey data.

resultsParticipants (n = 16) proposed how future technology could improve clinician awareness, such as recording visits to help clinicians be more self-aware of their communication; however, some providers expressed concerns regarding feedback fatigue and the potential impact of technology on reducing time spent with patients. Participants recommended incorporating feedback regularly into training, identifying organizational incentives, and debriefing with trusted colleagues and communication experts. DISCUSSION: Participants brainstormed technologies and identified educational strategies, such as discussion with a facilitator, that could promote clinician receptivity to feedback and inform IBRM approaches for clinical ambient intelligence. Yet, challenges remain to incentivizing participation for practicing clinicians, and Continuing Medical Education may be one effective approach.

conclusionThe proposed technologies and prioritized educational strategies have the potential to promote health equity by helping clinicians develop skills to manage implicit bias. In the future, these findings could inform IBRM interventions that leverage clinical ambient intelligence.

Indexed as

Attitude of Health PersonnelCommunicationFeedbackPatient-Centered CarePhysician-Patient RelationsPrimary Health CareAdultFemaleHumansInterviews as TopicMaleMiddle AgedSurveys and Questionnairesclinical communicationdigital technologyhealth equityimplicit bias educationpatient-centered care

Identifiers

PMID40848279
PMCPMC12626210

What OpenQuestion holds

Textmetadata
LicenceTDM
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.