ArticleJMIR public health and surveillance2024
Telehealth Utilization and Associations in the United States During the Third Year of the COVID-19 Pandemic: Population-Based Survey Study in 2022.
Article in JMIR public health and surveillance, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.
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.
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.
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Who cites it
23 citing papers in PubMed, 23 citations in OpenAlex.
- Task-sharing and telemedicine delivery of psychotherapy to treat perinatal depression: a pragmatic, noninferiority randomized trial.Nature medicine · 2025Trial
- Trends in Telehealth Use and Changes in Associated Disparities: 2022-2024 HINTS.Journal of general internal medicine · 2026Article
- Barriers to and Facilitators of Telemedicine in Rural Healthcare in Japan: A Qualitative Analysis.Cureus · 2026Article
- Digital health technology in oncology: results from a survey by the ESMO Young Oncologists Committee and medical student alumni.ESMO real world data and digital oncology · 2026Article
- Telemedicine adoption in Hungary: insights from two representative population surveys (2021-2024).BMC health services research · 2026Article
- Comparative Analysis of Prescriptions and Pharmacy Services in Internet-Based Psychiatric Hospital During and After the COVID-19 Pandemic: Retrospective Cross-Sectional Observational Study.Journal of medical Internet research · 2026Observational
- Article
- Sociodemographic Determinants of Telemedicine Uptake Among Adults in the United States.Cureus · 2026Article
- National Trends in Telehealth Utilization, 2020-2023: Post-Pandemic Trends from the Medical Expenditure Panel Survey.Healthcare (Basel, Switzerland) · 2026Article
- Telemedicine Uptake During and After Pandemic-Era Deregulation in Japan.JAMA network open · 2026Article
- Telehealth services utilization among middle-aged and older informal caregivers: evidence from national-level data in the United States.Frontiers in public health · 2026Article
- Regional Differences in Telemedicine Utilization by Patient in Late and Post-COVID-19 Pandemic Japan.Health services insights · 2026Article
- SWOT analysis on veterinary telemedicine from pet owner and expert perspectives-a mixed-methods survey and interview study in Germany.Frontiers in veterinary science · 2026Article
- Acceptability and Use of Digital Health and Artificial Intelligence-Enabled Chatbots for Sexual and Reproductive Health Among Lesbian, Bisexual, and Queer Women of Color in the United States: Cross-Sectional Survey Study.Journal of medical Internet research · 2025Article
- Digital Health Technology Adoption Among Chinese Physicians: Latent Profile Analysis and Cross-Sectional Study.Journal of medical Internet research · 2025Article
- Disparities in Internet Medical Service Utilization Among Patients in Post-COVID-19 China: Cross-Sectional Study of Data From Provincial Field and National Online Surveys.Journal of medical Internet research · 2025Article
- Factors Affecting Patients' Use of Telehealth Services: Cross-Sectional Survey Study.Journal of medical Internet research · 2025Article
- Artificial intelligence tools in supporting healthcare professionals for tailored patient care.NPJ digital medicine · 2025Article
- Correlation Between the Online Visiting Time and Frequency Increase in Telemedicine Services Offered by Health Care Providers Before, During, and After the COVID-19 Pandemic in China: Cross-Sectional Study.Journal of medical Internet research · 2025Article
- Article
Corrections and comments
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Authors and funding
6 authors at 1 institution in 1 country.
Funding
Abstract
backgroundThe COVID-19 pandemic rapidly changed the landscape of clinical practice in the United States; telehealth became an essential mode of health care delivery, yet many components of telehealth use remain unknown years after the disease's emergence.
objectiveWe aim to comprehensively assess telehealth use and its associated factors in the United States.
methodsThis cross-sectional study used a nationally representative survey (Health Information National Trends Survey) administered to US adults (≥18 years) from March 2022 through November 2022. To assess telehealth adoption, perceptions of telehealth, satisfaction with telehealth, and the telehealth care purpose, we conducted weighted descriptive analyses. To identify the subpopulations with low adoption of telehealth, we developed a weighted multivariable logistic regression model.
resultsAmong a total of 6252 survey participants, 39.3% (2517/6252) reported telehealth use in the past 12 months (video: 1110/6252, 17.8%; audio: 876/6252, 11.6%). The most prominent reason for not using telehealth was due to telehealth providers failing to offer this option (2200/3529, 63%). The most common reason for respondents not using offered telehealth services was a preference for in-person care (527/578, 84.4%). Primary motivations to use telehealth were providers' recommendations (1716/2517, 72.7%) and convenience (1516/2517, 65.6%), mainly for acute minor illness (600/2397, 29.7%) and chronic condition management (583/2397, 21.4%), yet care purposes differed by age, race/ethnicity, and income. The satisfaction rate was predominately high, with no technical problems (1829/2517, 80.5%), comparable care quality to that of in-person care (1779/2517, 75%), and no privacy concerns (1958/2517, 83.7%). Younger individuals (odd ratios [ORs] 1.48-2.23; 18-64 years vs ≥75 years), women (OR 1.33, 95% CI 1.09-1.61), Hispanic individuals (OR 1.37, 95% CI 1.05-1.80; vs non-Hispanic White), those with more education (OR 1.72, 95% CI 1.03-2.87; at least a college graduate vs less than high school), unemployed individuals (OR 1.25, 95% CI 1.02-1.54), insured individuals (OR 1.83, 95% CI 1.25-2.69), or those with poor general health status (OR 1.66, 95% CI 1.30-2.13) had higher odds of using telehealth.
conclusionsTo our best knowledge, this is among the first studies to examine patient factors around telehealth use, including motivations to use, perceptions of, satisfaction with, and care purpose of telehealth, as well as sociodemographic factors associated with telehealth adoption using a nationally representative survey. The wide array of descriptive findings and identified associations will help providers and health systems understand the factors that drive patients toward or away from telehealth visits as the technology becomes more routinely available across the United States, providing future directions for telehealth use and telehealth research.
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