Evidence map›Paper›PMID 40465553›Full record

ArticlePloS one2025

Telehealth and in-person HIV care during the COVID-19 pandemic at a large academic medical center in North Carolina.

Valerie Yelverton, Jan Ostermann, Michael E Yarrington, Andrew K Weinhold, Nabil Natafgi, Bankole Olatosi, Sharon Weissman, Nathan M Thielman

Abstract read
In one paragraph

Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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.

Valerie YelvertonDepartment of Medicine, Division of Infectious Diseases, Duke University School of Medicine, Durham, North Carolina, United States of America.ORCID 0000-0002-9445-7022
Jan OstermannDepartment of Health Services Policy and Management, University of South Carolina, Arnold School of Public Health, Columbia, South Carolina, United States of America.
Michael E YarringtonDepartment of Medicine, Division of Infectious Diseases, Duke University School of Medicine, Durham, North Carolina, United States of America.ORCID 0000-0003-3186-1519
Andrew K WeinholdDuke Global Health Institute, Duke University, Durham, North 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 0000-0003-4979-0317
Bankole OlatosiDepartment of Health Services Policy and Management, University of South Carolina, Arnold School of Public Health, Columbia, South Carolina, United States of America.
Sharon WeissmanSouth Carolina SmartState Center for Healthcare Quality (CHQ), University of South Carolina, Arnold School of Public Health, Columbia, South Carolina, United States of America.
Nathan M ThielmanDepartment of Medicine, Division of Infectious Diseases, Duke University School of Medicine, Durham, North Carolina, United States of America.

Funding

Social and Behavioral Sciences CoreP30AI064518 · NIAID · DUKE UNIVERSITY · PI Nwora Lance Okeke · 2005 to 2026
$50.5M
Ruth L. Kirschstein National Research Service Award (NRSA)- T32T32AI007392 · NIAID · DUKE UNIVERSITY · PI Amy Lynn Corneli, Guido Ferrari · 1990 to 2026
$9.8M
AHRQ HHS R36 HS029267NIAID NIH HHS P30 AI064518NIAID NIH HHS T32 AI007392
6 · The paper itself

Abstract

backgroundTo maintain HIV care during the COVID-19 pandemic, many HIV clinics across the United States adopted telehealth. However, not everyone participated in telehealth equally. This study assessed the use and disparities in telehealth and in-person HIV care at a large academic medical center in North Carolina (NC) relative to the COVID-19 pandemic.

methodsData from the Duke University Infectious Disease clinic in NC were extracted from electronic health records (EHR), aggregated across persons with HIV (PWH) by calendar month, visit type (in-person vs. telehealth HIV care), and by key sociodemographic and clinical characteristics. Variation in HIV care over time was analyzed graphically by age, sex, race and ethnicity, county of residence, and viral load (VL) history.

resultsEHR data from 2,623 PWH receiving care between January 2019 and March 2023 were included. Telehealth use sharply increased in the first months of the pandemic and decreased thereafter. Telehealth use was higher among non-Hispanic Whites compared to People of Color. Most PWH (93%) had a first post-onset-of-the-pandemic (pop) HIV care visit on March 16, 2020 and thereafter. The proportion of telehealth first pop visits peaked in April 2020 with 88% telehealth visits.

conclusionsTelehealth bridged the initial COVID-19 pandemic phase with drastically reduced in-person visit availability, yet it was not equally utilized across race and ethnicity groups. To guide the optimal integration of telehealth in HIV care and promote equitable care in the future, HIV care outcomes need to be closely monitored, and strategies designed to promote access for Communities of Color are needed.

Indexed as

COVID-19HIV InfectionsTelemedicineAcademic Medical CentersAdolescentAdultElectronic Health RecordsFemaleHumansMaleMiddle AgedNorth CarolinaPandemicsSARS-CoV-2Viral LoadYoung Adult

Identifiers

PMID40465553
PMCPMC12136309

What OpenQuestion holds

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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.