ArticleNPJ digital medicine2024
Closing the gap: addressing telehealth disparities across specialties in the sustained pandemic era.
Article in NPJ digital medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 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.
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.
Who cites it
20 citing papers in PubMed.
- Nurse-led telemedicine versus in-person lactation support for breastfeeding initiation in mothers of low-birth-weight infants: a non-inferiority randomized controlled trial.BMC pregnancy and childbirth · 2025Trial
- Social Determinants of Digital Health Intervention Use in China: National Cross-Sectional Study.Journal of medical Internet research · 2026Article
- Disparities in Access to Gastrointestinal Care in the United States.Digestive diseases and sciences · 2026Review
- Digital Health Divides: Telehealth Equity in a Global Context-A Narrative Review with an Israeli Case Study.Health care analysis : HCA : journal of health philosophy and policy · 2026Article
- China's new quality productive forces in healthcare: spatial disparities, dynamic evolution, and convergence.BMC health services research · 2026Article
- Reporting of Telehealth Implementation in Cystic Fibrosis: Scoping Review Using a Novel Theory-Based Evaluation Lens.Journal of medical Internet research · 2026Article
- Association Between Physician Communication Features and Patient Outcomes in Telemedicine: Retrospective Cross-Sectional Observational Study.Journal of medical Internet research · 2026Observational
- Telemedicine Adoption for Managing Chronic and Rare Diseases in Indonesia During and Beyond the COVID-19 Era: Qualitative Study.Journal of medical Internet research · 2026Article
- Patterns of specialist healthcare delivery among inflammatory bowel disease patients in response to the COVID-19 pandemic in Ontario: a population-based study.Journal of the Canadian Association of Gastroenterology · 2026Article
- Bridging Policy and Practice in Telemedicine Follow-Up Identification: Multicenter Mixed Methods Study in Beijing.JMIR human factors · 2025Article
- The Impact of a Digital Digestive Health Program and Telehealth Visits in Socially Vulnerable Populations: Cohort Evaluation.JMIR formative research · 2025Article
- Using Theory-Based Frameworks to Identify Barriers and Enablers of Physicians' Telemedicine Adoption and Develop Intervention Strategies in China: Multicenter Qualitative Study.Journal of medical Internet research · 2025Article
- Video-based telemedicine utilization patterns and associated factors among racial and ethnic minorities in the United States during the COVID-19 pandemic: A mixed-methods scoping review.PLOS digital health · 2025Article
- Implementation of a Dedicated Intake Team Reduces Time to Massed PTSD Treatment.The journal of behavioral health services & research · 2025Article
- Article
- The urgency of centering safety-net organizations in AI governance.NPJ digital medicine · 2025Review
- Telemedicine expands cardiovascular care in China - lessons for health equity in the United States.NPJ digital medicine · 2025Article
- "A lot of the answers come from within you as well": benefits and limitations to utilizing and adapting a virtual platform to enhance social interaction and group learning.BMC digital health · 2025Article
- Machine Learning-Based Prediction of No-Show Telemedicine Encounters.Telemedicine reports · 2025Article
- Bridging the Telehealth Divide-The Systemic and Experiential Factors Shaping Telehealth and Digital Health Equity: A Qualitative Analysis.Telemedicine reportsArticle
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
Missed appointments, or no-shows, disrupt healthcare delivery, exacerbating chronic disease management and leading to worse health outcomes. Telehealth has surged as a viable solution to reduce no-shows and improve healthcare accessibility, especially during the COVID-19 pandemic. However, telehealth disparities and its long-term efficacy across various medical specialties remain understudied. To address this, we performed a retrospective analysis of electronic health records from a heterogenous network of hospitals in Illinois, examining telehealth use and no-shows across among 444,752 adult patients with 1,973,098 outpatient encounters across nine specialties during the sustained pandemic phase (i.e., January 1, 2021 to July 1, 2022). Among them, 84,290 (4.27%) were no-shows, and telehealth constituted 202,933 (10.3%) of the total encounters. Telehealth use during the sustained phase varied significantly by specialty type. Overall, telehealth encounters were associated with reduced no-show odds compared to in-person encounters (OR, 0.28; 95% CI, 0.26-0.29). Black and Hispanic patients, as well as those with Medicaid, had higher no-show odds relative to their counterparts, even when using telehealth. Mental health specialty had the highest telehealth usage rate and the highest no-show odds (OR, 2.99; 95% CI, 2.84-3.14) relative to other specialties included in the study. Moreover, specialty type had differential effects on no-shows for telehealth. These results underscore the variability in telehealth use by specialty type and pervasive disparities telehealth use and no-shows. As we move beyond the pandemic, our findings can inform policymakers to tailor policies and incentives to reach different patient groups as well as specialties, with varying needs, to promote equitable telehealth utilization.
Identifiers
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Registered trials
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.