Evidence map›Paper›PMID 38107977›Full record

ArticleDigital health

Equity and use of telehealth modalities among people living with HIV during the COVID-19 pandemic.

Hannah Carson, Karen H Wang, Hyung Paek, Pamela Hoffman, Andrew Arakaki, Rosana Gonzalez-Colaso, Lydia A Barakat, Merceditas Villanueva, Julie A Womack

Abstract read
In one paragraph

Article in Digital health. 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

9 authors.

Hannah CarsonYale School of Medicine and Yale Physician Associate Program, New Haven, CT, USA.
Karen H WangYale School of Medicine, Department of Internal Medicine, New Haven, CT, USA.
Hyung PaekYale School of Medicine and Yale School of Public Health, Department of Biostatistics, New Haven, CT, USA.
Pamela HoffmanYale School of Medicine, Child Study Center, New Haven, CT, USA.
Andrew ArakakiYale School of Public Health, Department of Chronic Disease Epidemiology New Haven, CT, USA.
Rosana Gonzalez-ColasoYale Physician Associate Program, New Haven, CT, USA.
Lydia A BarakatYale School of Medicine, Department of Internal Medicine, New Haven, CT, USA.
Merceditas VillanuevaYale School of Medicine, Department of Infectious Diseases, New Haven, CT, USA.
Julie A WomackVA Connecticut Healthcare System and Yale School of Nursing, West Haven, CT, USA.ORCID https://orcid.org/0000-0002-1003-0276

Funding

NRSA Training CoreTL1TR001864 · NCATS · YALE UNIVERSITY · PI CANTLEY, LLOYD G, EDELMAN, E. JENNIFER · 2016 to 2025
$9.9M
Development and Validation of a Novel and HIV-Relevant Prediction Model for FractureR01AR078715 · NIAMS · YALE UNIVERSITY · PI HSIEH, EVELYN, WOMACK, JULIE A · 2021 to 2025
$3.7M
Personal Health Libraries for Formerly Incarcerated IndividualsR01LM013477 · NLM · YALE UNIVERSITY · PI WANG, KAREN H · 2020 to 2023
$1.9M
Accelerating Health Information Resource Equity for Multiracial PopulationsG08LM013801 · NLM · YALE UNIVERSITY · PI WANG, KAREN H · 2021 to 2023
$420k
NCATS NIH HHS TL1 TR001864NIAMS NIH HHS R01 AR078715NLM NIH HHS G08 LM013801NLM NIH HHS R01 LM013477
6 · The paper itself

Abstract

Background: COVID-19 forced a rapid transition to telehealth. Little is known about the use of telephone versus video visits among people living with or at risk for HIV (PWH). Setting: We studied electronic health record data from an urban HIV clinic. Our sample included visit- and person-level data. Visit-level data came from appointments scheduled from 30 March 2020 to 31 May 2020. Person-level data came from patients 18+ years of age who completed at least one telephone or video visit during the period of interest. Methods: We performed a cross-sectional analysis. Our primary outcome was telehealth modality (telephone or video). We compared visit completion status by telehealth modality. We evaluated associations between patient characteristics and telehealth modality using logistic regression. Results: In total, 1742 visits included information on telehealth modality: 1432 telephone (82%) and 310 (18%) video visits. 77% of telephone visits were completed compared to 75% of video visits ( Conclusion: PWH used telephone more than video visits, suggesting that telephone visits are a vital healthcare resource for this population.

Indexed as

COVID-19HIVtelehealthtelephonevideo

Identifiers

PMID38107977
PMCPMC10722925

What OpenQuestion holds

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LicenceCC BY-NC
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.