Evidence map›Paper›PMID 39102175›Full record

ArticleJournal of racial and ethnic health disparities2025

A Comparative Analysis of Healthcare Quality Perception Among Different Vulnerable Populations with and without Telehealth Utilization: A Cross-Sectional Study from the Health Information National Trends Survey.

Richard C Wang, Daniel I Lipin, Thomas K Swoboda, Usha Sambamoorthi

Abstract readComparative Study
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Article in Journal of racial and ethnic health disparities, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Richard C WangSt. Mark's School of Texas, 10600 Preston Rd, Dallas, TX, 75230, USA. Richard.c.wang.rcw@gmail.com.ORCID 0009-0003-7234-0928
Daniel I LipinSt. Mark's School of Texas, 10600 Preston Rd, Dallas, TX, 75230, USA.
Thomas K SwobodaDepartment of Emergency Medicine, The Valley Health System, Touro University Nevada School of Osteopathic Medicine, 657 N. Town Center Drive, Las Vegas, NV, 89144, USA.
Usha SambamoorthiDepartment of Pharmacotherapy, Texas Center for Health Disparity, University of North Texas Health Science Center, 3500 Camp Bowie Blvd, Fort Worth, TX, 76107, USA.

Funding

AIM-AHEAD Coordinating Center - All Four CoresOT2OD032581 · OD · UNIVERSITY OF NORTH TEXAS HLTH SCI CTR · PI Paul Avillach, Bettina M. Beech · 2021 to 2026
$168.7M
Texas Minority Health, Research and Outreach (MiHERO)S21MD012472 · NIMHD · UNIVERSITY OF NORTH TEXAS HLTH SCI CTR · PI JAMBOOR K. VISHWANATHA · 2017 to 2026
$18.0M
AIM-AHEAD 1OT2OD032581-01NIMHD NIH HHS 5S21MD012472-05
6 · The paper itself

Abstract

objectiveThe COVID-19 pandemic led to a rapid expansion of telehealth utilization in medicine. However, the quality measures associated with telehealth use remain unclear, particularly among vulnerable populations. This study aims to investigate the impact of telehealth on individuals' perception of overall quality care among vulnerable patient populations.

methodsThis cross-sectional study utilized Health Information National Trends Survey data. The individuals' overall perception of healthcare quality was compared between populations that had at least one telehealth visit and non-telehealth users, who all had the option of utilizing telehealth. This comparison focused on vulnerable populations, considering differences in race and ethnicity (non-Hispanic white vs. non-Hispanic black/Hispanic individuals) and socioeconomic status (high vs. low). Multivariable logistic regressions were employed to ascertain the association between individuals' overall perceptions of quality care with and without telehealth utilization.

resultsA total of 2920 participants, representing an unweighted population of 114,608,302, were analyzed. The adjusted odds ratio (AOR) for at least one telehealth visit associated with individuals' overall perception of quality care among the entire survey population was 0.76 with a 95% CI of 0.51-1.13 (p = 0.173). The AOR was 0.83 (95% CI 0.39-1.77, p = 0.618) among the non-White population, and the AOR was 0.71 (95% CI 0.29-1.78, p = 0.462) among individuals with low SES.

conclusionsAlthough telehealth utilization has both its limitations and advantages compared to traditional clinical visits, no statistically significant differences in individuals' overall perception of quality care were identified among telehealth and non-telehealth users. These findings were also consistent across various vulnerable populations.

Indexed as

Quality of Health CareTelemedicineVulnerable PopulationsAdolescentAdultAgedCOVID-19Cross-Sectional StudiesEthnicityFemaleHumansMaleMiddle AgedUnited StatesYoung AdultTelehealth; Perception of quality care; Socioeconomic status; Race and ethnicity

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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.