ArticleJMIR mHealth and uHealth2021
Implementation of Online Hospitals and Factors Influencing the Adoption of Mobile Medical Services in China: Cross-Sectional Survey Study.
Article in JMIR mHealth and uHealth, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.
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Who cites it
28 citing papers in PubMed.
- From facilitating conditions to intention to use internet hospitals among doctors: multiple mediators of perceived risk and performance expectancy.BMC health services research · 2026Article
- Determining the adoption intention and influencing factors of telerehabilitation by people with rehabilitation needs: a cross-sectional survey.BMC public health · 2026Article
- Healthcare consumers' acceptance and use of digital health technology in LMICs and the role of self-efficacy and facilitating conditions: a systematic review and meta-analysis.The Lancet regional health. Western Pacific · 2026Article
- Determinants of off-label drug acceptance in pregnancy: insights from an extended UTAUT model.Frontiers in pharmacology · 2026Article
- Chinese patients' use of online healthcare services: an empirical analysis based on Chinese Social Survey 2021 (CSS2021) data.BMJ open · 2025Article
- Factors influencing the adoption of telemedicine services among middle-aged and older patients with chronic conditions in rural China: a multicentre cross-sectional study.BMC health services research · 2025Article
- Investigating Continuance Intention for Telehealth Visits in Children's Hospitals: Survey-Based Study.Journal of medical Internet research · 2025Article
- Exploring the factors influencing the adoption of online medical services by older adults: a modified UTAUT2 based study.Frontiers in public health · 2025Article
- Acceptance of artificial intelligence clinical assistant decision support system to prevent and control venous thromboembolism among healthcare workers: an extend Unified Theory of Acceptance and Use of Technology Model.Frontiers in medicine · 2025Article
- Medical Information Protection in Internet Hospital Apps in China: Scale Development and Content Analysis.JMIR mHealth and uHealth · 2024Article
- Validation of an established TW3 artificial intelligence bone age assessment system: a prospective, multicenter, confirmatory study.Quantitative imaging in medicine and surgery · 2024Article
- Factors Influencing the Behavioral Intentions and Use Behaviors of Telemedicine in Patients With Diabetes: Web-Based Survey Study.JMIR human factors · 2023Article
- Trends, Influence Factors, and Doctor-Patient Perspectives of Web-Based Visits for Thyroid Surgery Clinical Care: Cross-Sectional Study.Journal of medical Internet research · 2023Article
- Application of Internet hospitals for first-visit patients with COVID-19 during the pandemic in China.European journal of public health · 2023Article
- Exploring factors that influence the behavioural intention of medical students to use 3D gastroscopic model to learn how to operate gastroscope using UTAUT Model.BMC medical education · 2023Article
- Article
- Understanding Post-Adoption Behavioral Intentions of Mobile Health Service Users: An Empirical Study during COVID-19.International journal of environmental research and public health · 2023Article
- Stimuli Influencing Engagement, Satisfaction, and Intention to Use Telemedicine Services: An Integrative Model.Healthcare (Basel, Switzerland) · 2022Article
- The practice of teleneurology in the Philippines during the COVID-19 pandemic.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2022Article
- Impact of Actual Use Behavior of Healthcare Wearable Devices on Quality of Life: A Cross-Sectional Survey of People with Dementia and Their Caregivers in Ghana.Healthcare (Basel, Switzerland) · 2022Article
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4 authors.
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Abstract
backgroundOnline hospitals are part of an innovative model that allows China to explore telemedicine services based on national conditions with large populations, uneven distribution of medical resources, and lack of quality medical resources, especially among residents needing to be protected from COVID-19 infection.
objectiveIn this study, we built a hypothesis model based on the Unified Theory of Acceptance and Use of Technology (UTAUT) in order to analyze the factors that may influence patients’ willingness to use mobile medical services. This research was designed to assist in the development of mobile medical services. Residents who do not live in urban areas and cannot access medical assistance would greatly benefit from this research, as they could immediately go to the online hospital when needed.
methodsA cross-sectional study based at the West China Hospital, Sichuan University, was conducted in July 2020. A total of 407 respondents, 18 to 59 years old, in Western China were recruited by convenience sampling. We also conducted an empirical test for the hypothesis model and applied structural equation modeling to estimate the significance of path coefficients so that we could better understand the influencing factors.
resultsOut of 407 respondents, 95 (23.3%) were aware of online hospitals, while 312 (76.7%) indicated that they have never heard of online hospitals before. Gender (P=.048) and education level (P=.04) affected people's willingness to use online hospitals, and both of these factors promoted the use of online hospitals (odds ratio [OR] 2.844, 95% CI 1.010-8.003, and OR 2.187, 95% CI 1.031-4.636, respectively). According to structural equation modeling, the results of the path coefficient analysis indicated that performance expectancy, effort expectancy, and facilitating conditions have positive effects on patients' willingness to use online hospitals.
conclusionsThe goal of our research was to determine the factors that influence patients' awareness and willingness to use online hospitals. Currently, the public's awareness and usage of online hospitals is low. In fact, effort expectancy was the most important factor that influenced the use of online hospitals; being female and having a high education also played positive roles toward the use of mobile medical services.
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