Evidence map›Paper›PMID 36525332›Full record

ArticleJournal of medical Internet research2023

Targeting Patients' Cognitive Load for Telehealth Video Visits Through Student-Delivered Helping Sessions at a United States Federally Qualified Health Center: Equity-Focused, Mixed Methods Pilot Intervention Study.

Marcy G Antonio, Alicia Williamson, Vaishnav Kameswaran, Ashley Beals, Elizabeth Ankrah, Shannon Goulet, Yucen Wang, Grecia Macias, Jade James-Gist, Lindsay K Brown and 5 more

Open access · goldAbstract read
In one paragraph

Article in Journal of medical Internet research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 1 pooled it
8.2field-weighted citation impact, top 2% 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

19 citing papers in PubMed, 1 synthesis or guideline pooled it, 42 citations in OpenAlex.

  1. Telemedicine Implementation for Safety Net Populations: A Systematic Review.Telemedicine journal and e-health : the official journal of the American Telemedicine Association · 2024
    Pooled it
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  13. Training Service Users in the Use of Telehealth: Scoping Review.Journal of medical Internet research · 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

15 authors at 3 institutions in 1 country.

Marcy G Antonio *School of Information, University of Michigan, Ann Arbor, MI, United States.ORCID 0000-0001-9332-8512
Alicia WilliamsonSchool of Information, University of Michigan, Ann Arbor, MI, United States.ORCID 0000-0003-3545-2114
Vaishnav KameswaranSchool of Information, University of Michigan, Ann Arbor, MI, United States.ORCID 0000-0003-1519-8956
Ashley BealsSchool of Information, University of Michigan, Ann Arbor, MI, United States.ORCID 0000-0001-9079-1982
Elizabeth AnkrahDepartment of Informatics, University of California Irvine, Irvine, CA, United States.ORCID 0000-0002-2538-929X
Shannon GouletSchool of Information, University of Michigan, Ann Arbor, MI, United States.ORCID 0000-0002-6276-2487
Yucen WangSchool of Information, University of Michigan, Ann Arbor, MI, United States.ORCID 0000-0003-1244-1690
Grecia MaciasSchool of Information, University of Michigan, Ann Arbor, MI, United States.ORCID 0000-0003-1181-0386
Jade James-GistSchool of Public Health, University of Michigan, Ann Arbor, MI, United States.ORCID 0000-0001-9052-5465
Lindsay K BrownSchool of Information, University of Michigan, Ann Arbor, MI, United States.ORCID 0000-0003-1671-4983
Sage DavisCovenant Community Care, Detroit, MI, United States.ORCID 0000-0002-7807-5235
Srijanani PillaiCovenant Community Care, Detroit, MI, United States.ORCID 0000-0003-0108-1482
Lorraine BuisDepartment of Family Medicine, University of Michigan, Ann Arbor, MI, United States.ORCID 0000-0001-5855-9972
Tawanna DillahuntSchool of Information and College of Engineering, University of Michigan, Ann Arbor, MI, United States.ORCID 0000-0002-1155-8507
Tiffany C VeinotDepartment of Health Behavior and Health Education, School of Information and School of Public Health, University of Michigan, Ann Arbor, MI, United States.ORCID 0000-0003-1200-9515
University of Michigan · USCommunity Care · USUniversity of California, Irvine · US

Funding

Research BaseP30DK092926 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI MARY ELLEN MICHELE HEISLER, ADESUWA B OLOMU · 2011 to 2026
$10.0M
NIDDK NIH HHS P30 DK092926
6 · The paper itself

Abstract

backgroundThe task complexity involved in connecting to telehealth video visits may disproportionately impact health care access in populations already experiencing inequities. Human intermediaries can be a strategy for addressing health care access disparities by acting as technology helpers to reduce the cognitive load demands required to learn and use patient-facing telehealth technologies.

objectiveWe conducted a cognitive load theory-informed pilot intervention involving warm accompaniment telehealth helping sessions with patients at a Federally Qualified Health Center (FQHC). We demonstrate how to design and report recruitment methods, reach, delivery process, and the preliminary impact of a novel equity-focused intervention.

methodsEarly into the COVID-19 pandemic a telehealth helping session was offered to patients at FQHC via phone. Graduate students led the sessions on conducting a telehealth video test run or helping with patient portal log-in. They systematically recorded their recruitment efforts, intervention observations, and daily reflection notes. Following the intervention, we asked the intervention participants to participate in an interview and all patients who had telehealth visits during and 4 weeks before and after the intervention period to complete a survey. Electronic health records were reviewed to assess telehealth visit format changes. Descriptive and inferential statistical analyses of the recruitment records, electronic health record data, and surveys were performed. Through integrative analysis, we developed process-related themes and recommendations for future equity-focused telehealth interventions.

resultsOf the 239 eligible patients, 34 (14.2%) completed the intervention and 3 (1.2%) completed subsequent interviews. The intervention participants who completed the survey (n=15) had lower education and less technological experience than the nonintervention survey participants (n=113). We identified 3 helping strategies for cognitive load reduction: providing step-by-step guidance for configuring and learning, building rapport to create confidence while problem-solving, and being on the same page to counter informational distractions. Intervention participants reported increased understanding but found that learning the video visit software was more difficult than nonintervention participants. A comparison of visit experiences did not find differences in difficulty (cognitive load measure) using telehealth-related technologies, changes to visit modality, or reported technical problems during the visit. However, the intervention participants were significantly less satisfied with the video visits.

conclusionsAlthough a limited number of people participated in the intervention, it may have reached individuals more likely to need technology assistance. We postulate that significant differences between intervention and nonintervention participants were rooted in baseline differences between the groups' education level, technology experience, and technology use frequency; however, small sample sizes limit conclusions. The barriers encountered during the intervention suggest that patients at FQHC may require both improved access to web-based technologies and human intermediary support to make telehealth video visits feasible. Future large, randomized, equity-focused studies should investigate blended strategies to facilitate video visit access.

Indexed as

COVID-19TelemedicineCognitionHumansPandemicsPilot ProjectsStudentsUnited Statescognitive loadCOVID-19digital health interventionhealth equityhealth services accessibilityhuman-computer interactionlearningmobile phonepatient portalpilot projectsrecruit methodstelemedicine and telehealthvideo consultation

Identifiers

PMID36525332
PMCPMC9897309
OpenAlexW4311673591

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.