ArticleJournal of primary care & community health
Community Health Centers Uptake of Telemedicine During the COVID-19 Pandemic: Trends, Barriers, and Successful Strategies.
Article in Journal of primary care & community health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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.
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Who cites it
3 citing papers in PubMed.
- Screening by Health Care Systems for Barriers to Patient Engagement With Digital Health Care: Cross-Sectional Survey Study.JMIR formative research · 2026Article
- Study protocol: ACCESS: (Advancing Contraceptive Equity and Service Uptake through Telemedicine in the US Safety-Net).Research square · 2025Article
- Trends in Prenatal Telehealth Visits by Race and Ethnicity in U.S. Community Health Centers, 2019 to 2023.Journal of primary care & community healthArticle
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Authors and funding
8 authors.
Funding
Abstract
objectiveTo describe telemedicine use patterns and understand clinic's approaches to shifting care delivery during the COVID-19 pandemic.
methodsWe used electronic health record data from 203 community health centers across 13 states between 01/01/2019 and 6/31/2021 to describe trends in telemedicine visit rates over time. Qualitative data were collected from 13 of those community health centers to understand factors influencing adoption and implementation of telemedicine.
resultsMost clinics in our sample were in urban areas (n = 176) and served a majority of uninsured and publicly insured patients (12.8% and 44.4%, respectively) across racial and ethnic minority groups (16.6% Black and 29.3% Hispanic). During our analysis period there was a 791% increase in telemedicine visits from before the pandemic (.06% pre- vs 47.5% during). A latent class growth analysis was used to examine differences in patterns of adoption of telemedicine across the 203 CHCs. The model resulted in 6 clusters representing various levels of telemedicine adoption. A mixed methods approach streamlined these clusters into 4 final groups. Clinics that reported rapid adoption of telemedicine attributed this change to leadership prioritization of telemedicine, robust quality improvement processes (eg, using PDSA processes), and emphasis on training and technology support.
conclusionsIn response to the COVID-19 pandemic, telemedicine adoption rates varied across clinics. Our study highlight that organizational factors contributed to the clinic's ability to rapidly uptake and use telemedicine services throughout the pandemic. These approaches could inform future non-pandemic practice change and care delivery.
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