ArticleHealthcare (Basel, Switzerland)2024
Exploring Telemedicine Usage Intention Using Technology Acceptance Model and Social Capital Theory.
Article in Healthcare (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
7 citing papers in PubMed.
- Barriers and Facilitators to Telehealth in Underserved Rural Communities: A Mixed-Methods Formative Evaluation.Health expectations : an international journal of public participation in health care and health policy · 2026Article
- Determinants of Healthcare Professionals' Intentions to Use Telemedicine for Elderly Care in Algeria: A Technology Acceptance Model Approach.Geriatrics (Basel, Switzerland) · 2026Article
- Avatars in Mental Health: Psychotherapists' Attitudes Towards Avatar Technology and Factors Influencing Adoption.European journal of investigation in health, psychology and education · 2025Article
- Factors influencing the intention to use telemedicine services among older adults in China.Scientific reports · 2025Article
- Resident Preferences for Telemedicine Services in China in the Digital Health Era: Mixed Methods Study.Journal of medical Internet research · 2025Article
- Healthcare practitioners' acceptance of using telehealth in the Kingdom of Saudi Arabia: an application of the unified theory of acceptance and use of technology model.Frontiers in digital health · 2025Article
- Both sides of the screen: A dual-sided model of telemedicine adoption through extended UTAUT2.Digital healthArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
Telemedicine technology has emerged as a pivotal solution to enhance the accessibility and efficiency of healthcare services. This study investigates the factors influencing the acceptance of telemedicine technology among healthcare professionals in Taiwan. Employing a quantitative research approach, we utilized a survey instrument adapted from the Unified Theory of Acceptance and Use of Technology (UTAUT) model. Data were collected from 325 healthcare professionals across diverse medical fields. The results indicate that perceived usefulness, ease of use, social influence, and convenience significantly influence intention to use telemedicine. Moreover, age moderates the relationship between perceived usefulness and usage intention. These findings underscore the importance of addressing both technological and social factors in promoting the adoption of telemedicine among healthcare professionals. Policy implications and recommendations for enhancing telemedicine implementation are discussed based on the study findings. Specifically, our findings highlight that perceived usefulness, ease of use, social influence, and convenience significantly impact the intention to use telemedicine technology. Age significantly moderates the relationship between perceived usefulness and usage intention. These results not only theoretically support the UTAUT model but also provide practical strategies to advance the application of telemedicine technology.
Indexed as
Identifiers
What Socratic holds
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 Socratic graph.