Evidence map›Paper›PMID 37971799›Full record

ArticleJMIR formative research2023

Improving Patient Health Literacy During Telehealth Visits Through Remote Teach-Back Methods Training for Family Medicine Residents: Pilot 2-Arm Cluster, Nonrandomized Controlled Trial.

Shanikque Barksdale, Shannon Stark Taylor, Shaniece Criss, Karen Kemper, Daniela B Friedman, Wanda Thompson, Lorie Donelle, Phyllis MacGilvray, Nabil Natafgi

Abstract read
In one paragraph

Article in JMIR formative research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

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  11. The rise of artificial intelligence-driven health communication.Translational andrology and urology · 2024
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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

9 authors.

Shanikque BarksdaleDepartment of Health Services Policy and Management, Arnold School of Public Health, University of South Carolina, Columbia, SC, United States.ORCID https://orcid.org/0000-0003-4728-8083
Shannon Stark TaylorSchool of Medicine Greenville, University of South Carolina, Greenville, SC, United States.ORCID https://orcid.org/0000-0003-4830-2852
Shaniece CrissDepartment of Health Sciences, Furman University, Greenville, SC, United States.ORCID https://orcid.org/0000-0002-2470-5377
Karen KemperDepartment of Public Health Sciences, College of Behavioral, Social and Health Sciences, Clemson University, Clemson, SC, United States.ORCID https://orcid.org/0000-0002-9941-809X
Daniela B FriedmanDepartment of Health Promotion, Education, and Behavior, Arnold School of Public Health, University of South Carolina, Columbia, SC, United States.ORCID https://orcid.org/0000-0002-9359-093X
Wanda ThompsonPatient Engagement Studio, University of South Carolina, Greenville, SC, United States.ORCID https://orcid.org/0009-0004-1081-2165
Lorie DonelleCollege of Nursing, University of South Carolina, Columbia, SC, United States.ORCID https://orcid.org/0000-0001-9276-8639
Phyllis MacGilvraySchool of Medicine Greenville, University of South Carolina, Greenville, SC, United States.ORCID https://orcid.org/0009-0006-3232-698X
Nabil NatafgiDepartment of Health Services Policy and Management, Arnold School of Public Health, University of South Carolina, Columbia, SC, United States.ORCID https://orcid.org/0000-0003-4979-0317

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAs telemedicine plays an increasing role in health care delivery, providers are expected to receive adequate training to effectively communicate with patients during telemedicine encounters. Teach-back is an approach that verifies patients' understanding of the health care information provided by health care professionals. Including patients in the design and development of teach-back training content for providers can result in more relevant training content. However, only a limited number of studies embrace patient engagement in this capacity, and none for remote care settings.

objectiveWe aimed to design and evaluate the feasibility of patient-centered, telehealth-focused teach-back training for family medicine residents to promote the use of teach-back during remote visits.

methodsWe codeveloped the POTENTIAL (Platform to Enhance Teach-Back Methods in Virtual Care Visits) curriculum for medical residents to promote teach-back during remote visits. A patient participated in the development of the workshop's videos and in a patient-provider panel about teach-back. We conducted a pilot, 2-arm cluster, nonrandomized controlled trial. Family medicine residents at the intervention site (n=12) received didactic and simulation-based training in addition to weekly cues-to-action. Assessment included pre- and postsurveys, observations of residents, and interviews with patients and providers. To assess differences between pre- and postintervention scores among the intervention group, chi-square and 1-tailed t tests were used. A total of 4 difference-in-difference models were constructed to evaluate prepost differences between intervention and control groups for each of the following outcomes: familiarity with teach-back, importance of teach-back, confidence in teach-back ability, and ease of use of teach-back.

resultsMedical residents highly rated their experience of the teach-back training sessions (mean 8.6/10). Most residents (9/12, 75%) used plain language during training simulations, and over half asked the role-playing patient to use their own words to explain what they were told during the encounter. Postintervention, there was an increase in residents' confidence in their ability to use teach-back (mean 7.33 vs 7.83; P=.04), but there was no statistically significant difference in familiarity with, perception of importance, or ease of use of teach-back. None of the difference-in-difference models were statistically significant. The main barrier to practicing teach-back was time constraints.

conclusionsThis study highlights ways to effectively integrate best-practice training in telehealth teach-back skills into a medical residency program. At the same time, this pilot study points to important opportunities for improvement for similar interventions in future larger-scale implementation efforts, as well as ways to mitigate providers' concerns or barriers to incorporating teach-back in their practice. Teach-back can impact remote practice by increasing providers' ability to actively engage and empower patients by using the features (whiteboards, chat rooms, and mini-views) of their remote platform.

Indexed as

digital healthfamily medicinehealth literacymedical residentspatient-centeredpatient engagementresidency programteach-backtelehealthtelemedicinevirtual care

Identifiers

PMID37971799
PMCPMC10690523

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.