Evidence map›Paper›PMID 40812117›Full record

ArticlePatient education and counseling2025

Relationships between genetic counseling students' screensharing, nonverbal and verbal communication, and satisfaction in simulated telehealth visits.

Emily Stearns, Melissa Scherkoske, Debra Roter, Susan Persky, Lori Erby, Chenery Lowe

Abstract read
In one paragraph

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

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
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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

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

6 authors.

Emily StearnsDepartment of Health, Behavior and Society, Johns Hopkins Bloomberg School of Public Health, 621 N. Washington Street, Baltimore, MD 21205, USA; Center for Precision Health Research, National Human Genome Research Institute, Building 31, Room 4B09, 31 Center Drive, MSC2152, 9000 Rockville Pike, Bethesda, MD 20892, USA. Electronic address: empstearns@gmail.com.
Melissa ScherkoskeDepartment of Health, Behavior and Society, Johns Hopkins Bloomberg School of Public Health, 621 N. Washington Street, Baltimore, MD 21205, USA.
Debra RoterDepartment of Health, Behavior and Society, Johns Hopkins Bloomberg School of Public Health, 621 N. Washington Street, Baltimore, MD 21205, USA.
Susan PerskySocial and Behavioral Research Branch, National Human Genome Research Institute, Building 31, Room 4B09, 31 Center Drive, MSC2152, 9000 Rockville Pike, Bethesda, MD 20892, USA.
Lori ErbyCenter for Precision Health Research, National Human Genome Research Institute, Building 31, Room 4B09, 31 Center Drive, MSC2152, 9000 Rockville Pike, Bethesda, MD 20892, USA.
Chenery LoweDepartment of Health, Behavior and Society, Johns Hopkins Bloomberg School of Public Health, 621 N. Washington Street, Baltimore, MD 21205, USA; Stanford Center for Biomedical Ethics, Department of Pediatrics, Stanford University, Edwards Research Building, 300 Pasteur Drive, 2nd Floor, Room R2DCIR, Stanford, CA 94305, USA.

Funding

NHGRI/DIR Genetic Counseling Training ProgramZIEHG200353 · NHGRI · NATIONAL HUMAN GENOME RESEARCH INSTITUTE · PI ERBY, LORI · 2010 to 2025
$16.9M
The Stanford Training Program in ELSI ResearchT32HG008953 · NHGRI · STANFORD UNIVERSITY · PI Mildred K. Cho, Meghan Halley · 2016 to 2026
$3.1M
Intramural NIH HHS ZIE HG200353NHGRI NIH HHS T32 HG008953
6 · The paper itself

Abstract

objectiveTo examine the relationships between genetic counseling students' use of screensharing and nonverbal communication with verbal communication and standardized patient satisfaction during simulated telehealth visits.

methodsFrom 2021-2022, 59 genetic counseling students from the U.S. and Canada conducted video-recorded standardized patient sessions via Zoom. Session recordings were coded using the Roter Interaction Analysis System (RIAS) and the standardized patients completed post-session satisfaction questionnaires. All instances and the total duration of screensharing during each session were recorded by watching the video recordings in full. Nonverbal communication behaviors (nodding, smiling, hand gesturing, eye gaze, forward lean, distance from the camera, and camera angle) were coded from systematic "thin slice" samples of between 15 and 30 s segments from throughout each session. Multiple linear regression models assessed relationships between the students' nonverbal behaviors, use of screensharing, verbal communication, and standardized patients' satisfaction with session communication.

resultsIncreased screensharing was associated with decreased use of facilitating statements (p < 0.05), decreased patient-centeredness (p < 0.01), and increased verbal dominance (p < 0.05). Nodding was negatively correlated with verbal dominance (p < 0.05). Forward lean was positively correlated with standardized patient satisfaction with session communication (p < 0.05).

conclusionScreensharing, nodding, and forward lean may affect patient-provider communication via telehealth in ways that are analogous to in-person clinical interactions. PRACTICE IMPLICATIONS: The possible negative consequences of screensharing suggest a need for additional research to inform best practices for providing patient-centered care in the telehealth setting.

Indexed as

CommunicationGenetic CounselingNonverbal CommunicationPatient SatisfactionTelemedicineVerbal BehaviorAdultCanadaFemaleHumansMalePatient SimulationPhysician-Patient RelationsSurveys and QuestionnairesUnited StatesVideo RecordingGenetic counselingNonverbal behaviorNonverbal CommunicationPatient-provider communicationRoter Interaction, Analysis System (RIAS)ScreensharingTelehealthTelemedicine

Identifiers

PMID40812117
PMCPMC13135889

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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.