ArticleDigital health
Telehealth adoption during the COVID-19 pandemic: A social media textual and network analysis.
Article in Digital health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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Who cites it
18 citing papers in PubMed.
- Applying Virtual Reality in Mindfulness Exercises for Emotion Regulation and Mental Health Among Inpatients With Behavioral Issues: A Feasibility Study.American journal of health promotion : AJHP · 2026Article
- Misleading Allegations and Failure to Recognize the Shifting Faces of Antisemitism: A Response to J.J. Amon.Journal of religion and health · 2026Article
- Artificial-intelligence-driven governance: addressing emerging risks with a comprehensive risk-prevention-centred model for public health crisis management.Health research policy and systems · 2025Article
- Perinatal mental health care goes digital: Opportunities for digital health to revolutionize the care delivery for healthier pregnancies and outcomes.PLOS digital health · 2025Article
- A Cost-Minimization Analysis of Teleconsultation Versus In-Person Care for Chronic Diseases and Rehabilitation in Medically Underserved Areas of South Korea.Healthcare (Basel, Switzerland) · 2025Article
- Relative Preference for In-Person, Telehealth, Digital, and Pharmacologic Mental Health Care After the COVID-19 Pandemic: Cross-Sectional Questionnaire Study.Journal of medical Internet research · 2025Article
- Adoption of telemedicine for obesity treatment during the COVID-19 pandemic achieved comparable outcomes to in-person visits.Obesity pillars · 2024Article
- Remote Inclusion of Vulnerable Users in mHealth Intervention Design: Retrospective Case Analysis.JMIR mHealth and uHealth · 2024Article
- Analysis of Telehealth Discussion Trends on Reddit (2019-2022).Telemedicine journal and e-health : the official journal of the American Telemedicine Association · 2024Article
- The impact of immersive virtual reality meditation for depression and anxiety among inpatients with major depressive and generalized anxiety disorders.Frontiers in psychology · 2024Article
- Experience and Impact of COVID-19 on a Newly Formed Rural University Medical Office: Survey Study.JMIR formative research · 2023Article
- Public Officials' Engagement on Social Media During the Rollout of the COVID-19 Vaccine: Content Analysis of Tweets.JMIR infodemiology · 2023Article
- COVID-19 and telemedicine: A netnography approach.Technological forecasting and social change · 2023Article
- Comparing the Discussion of Telehealth in Two Social Media Platforms: Social Listening Analysis.Telemedicine reports · 2023Article
- Exploring public opinion about telehealth during COVID-19 by social media analytics.Journal of telemedicine and telecare · 2022Article
- Omnichannel Communication to Boost Patient Engagement and Behavioral Change With Digital Health Interventions.Journal of medical Internet research · 2022Article
- Self-Adaptive Telemedicine Specialist Recommendation Considering Specialist Activity and Patient Feedback.International journal of environmental research and public health · 2022Article
- Engaging PatientsFrontiers in pharmacology · 2022Article
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Objective: The telemedicine industry has rapidly grown during the COVID-19 pandemic, and telemedicine has become a common form of care. The present study looks at the online conversation regarding telemedicine at the beginning of the pandemic and one year later. The Technology Acceptance Model is utilized to explain the findings. Methods: Brandwatch and NUVI software captured social mentions on Twitter regarding telemedicine during the beginning of the pandemic (March 15, 2020-April 20, 2020) and one year later (March 12, 2021-April 19, 2021). SAS text-mining software analyzed the social mentions and organized them into ten unique topics for each time period. The research team analyzed the topics and organized them into themes. A network analysis was also performed to examine structure and influence within the network. Results: In March-April 2020, the themes focused on the use of telehealth in general, telehealth for mental health applications, and Medicare covering telehealth services. In March-April 2021, the themes focused on news events regarding telehealth and the rise in prominence of telehealth services. The network analysis shows a shift in the distribution of telehealth information among influential accounts and reveals that the network became more connected, with a change in the control of information spread. Conclusions: Technology Acceptance Model explains the social acceptance and spread of telemedicine. The transition in the conversation about telemedicine suggests a pattern of greater system use consistent with the Technology Acceptance Model. Telemedicine may have greatly increased in use because of the pandemic, but data suggests that its use may persist after the pandemic subsides.
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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.