Evidence map›Paper›PMID 40198619›Full record

ArticlePLOS digital health2025

Telehealth or in-person HIV care? Qualitative study findings on decision-making from people with HIV and HIV care providers in South Carolina during the COVID-19 pandemic.

Valerie Yelverton, Salome-Joelle Gass, Daniel Amoatika, Christopher Cooke, Jan Ostermann, Nabil Natafgi, Nicole L Hair, Bankole Olatosi, Otis L Owens, Shan Qiao and 4 more

Abstract read
In one paragraph

Article in PLOS digital health, 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

14 authors.

Valerie YelvertonDepartment of Health Services Policy and Management, University of South Carolina, Arnold School of Public Health, Columbia, South Carolina, United States of America.ORCID https://orcid.org/0000-0002-9445-7022
Salome-Joelle GassDepartment of Health Services Policy and Management, University of South Carolina, Arnold School of Public Health, Columbia, South Carolina, United States of America.
Daniel AmoatikaDepartment of Epidemiology and Biostatistics, University of South Carolina, Arnold School of Public Health, Columbia, South Carolina, United States of America.ORCID https://orcid.org/0000-0001-5349-6386
Christopher CookeDepartment of Medicine, University of South Carolina, School of Medicine, Columbia, South Carolina, United States of America.
Jan OstermannDepartment of Health Services Policy and Management, University of South Carolina, Arnold School of Public Health, Columbia, South Carolina, United States of America.
Nabil NatafgiDepartment of Health Services Policy and Management, University of South Carolina, Arnold School of Public Health, Columbia, South Carolina, United States of America.ORCID https://orcid.org/0000-0003-4979-0317
Nicole L HairDepartment of Health Services Policy and Management, University of South Carolina, Arnold School of Public Health, Columbia, South Carolina, United States of America.ORCID https://orcid.org/0000-0001-8559-5717
Bankole OlatosiDepartment of Health Services Policy and Management, University of South Carolina, Arnold School of Public Health, Columbia, South Carolina, United States of America.
Otis L OwensCollege of Social Work, University of South Carolina, Columbia, South Carolina, United States of America.
Shan QiaoSouth Carolina SmartState Center for Healthcare Quality (CHQ), University of South Carolina, Columbia, South Carolina, United States of America.ORCID https://orcid.org/0000-0003-1834-1834
Xiaoming LiSouth Carolina SmartState Center for Healthcare Quality (CHQ), University of South Carolina, Columbia, South Carolina, United States of America.
Caroline DerrickDepartment of Internal Medicine, University of South Carolina, School of Medicine, Columbia, South Carolina, United States of America.
Sharon WeissmanSouth Carolina SmartState Center for Healthcare Quality (CHQ), University of South Carolina, Columbia, South Carolina, United States of America.
Helmut AlbrechtDepartment of Internal Medicine, University of South Carolina, School of Medicine, Columbia, South Carolina, United States of America.

Funding

Ruth L. Kirschstein National Research Service Award (NRSA)- T32T32AI007392 · NIAID · DUKE UNIVERSITY · PI Amy Lynn Corneli, Guido Ferrari · 1990 to 2026
$9.8M
NIAID NIH HHS T32 AI007392
6 · The paper itself

Abstract

The COVID-19 pandemic disrupted HIV care services across the United States. Telehealth was rapidly implemented to ensure HIV care continuity. Despite the evidence of unequal telehealth uptake among some people with HIV (PWH), the decision-making processes to determine who received telehealth or in-person care are under-researched. This study assessed which decision criteria and processes determined which HIV care visit type was used by PWH and HIV care providers during the COVID-19 pandemic. Qualitative in-depth interviews with 18 PWH and 10 HIV care providers from South Carolina assessed PWHs' and HIV care providers' decision-making criteria and processes for telehealth HIV care during the COVID-19 pandemic. Interviews were analyzed using thematic analysis. Most PWH (11 out of 18) and all providers had used telehealth for HIV care. To guide visit type decisions, interviewees reported decision-making criteria across four domains: patient-related criteria, clinical criteria, provider preference, and HIV care continuity. Patient-related criteria included patient preference, convenience, fear of COVID-19 exposure and stigma, and transportation barriers. Clinical criteria included the need for a physical exam, a person's care history and health status. While all identified decision criteria were important, we found a hierarchical structure: care continuity superseded other criteria. Some clinical criteria were reported as decision-relevant criteria by providers but not PWH. Most PWH reported that they were included or took the lead in the visit type decision process. Decision-making processes to determine PWHs' HIV care visit types considered criteria across multiple domains. The superseding criteria was to sustain HIV care continuity. To guide future telehealth use, shared decision-making is needed to weigh patient-related, provider-related, and clinical decision criteria and maintain care continuity, and to comprehensively include all relevant decision criteria.

Identifiers

PMID40198619
PMCPMC11977962

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.