ArticleJournal of medical Internet research2021
Chinese Patients' Intention to Use Different Types of Internet Hospitals: Cross-sectional Study on Virtual Visits.
Article in Journal of medical Internet research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.
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Who cites it
27 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
- Empathy-amplified social influence and gender-sensitive thresholds in doctors' adoption of internet hospitals: a mixed-methods study in China.BMC health services research · 2026Article
- Article
- Awareness, want, and adoption of digital health services among older adults in China: a cross-sectional study.Frontiers in public health · 2026Article
- Application of Internet Hospitals in the Disease Management of Patients With Ulcerative Colitis: Retrospective Study.Journal of medical Internet research · 2025Article
- Analysis of psychiatrists' internet service patterns: a cross-sectional study from China's largest online mental health platform.Frontiers in psychiatry · 2025Article
- A determination of patient preferences for China online outpatient follow-up clinics by using discrete choice experiment: an exploratory study.Frontiers in public health · 2025Article
- Intention to Seek Mental Health Services During the 2022 Shanghai COVID-19 City-Wide Lockdown: Web-Based Cross-Sectional Study.JMIR formative research · 2024Article
- Comparing the Quality of Direct-to-Consumer Telemedicine Dominated and Delivered by Public and Private Sector Platforms in China: Standardized Patient Study.Journal of medical Internet research · 2024Article
- Topic identification and content analysis of internet medical policies under the background of Healthy China 2030.Health research policy and systems · 2024Article
- The Relationship Between Static Characteristics of Physicians and Patient Consultation Volume in Internet Hospitals: Quantitative Analysis.JMIR formative research · 2024Article
- Applications of digital health approaches for cardiometabolic diseases prevention and management in the Western Pacific region.The Lancet regional health. Western Pacific · 2024Review
- Continuance intention and digital health resources from the perspective of elaboration likelihood model and DART model: a structural equation modeling analysis.Frontiers in public health · 2024Article
- Application of Internet hospitals for first-visit patients with COVID-19 during the pandemic in China.European journal of public health · 2023Article
- The Current Status of the Use of Internet Hospitals for Outpatients With Pain: Retrospective Study.Journal of medical Internet research · 2023Article
- Investigating Factors Influencing Medical Practitioners' Resistance to and Adoption of Internet Hospitals in China: Mixed Methods Study.Journal of medical Internet research · 2023Article
- Public preferences for online medical consultations in China: a discrete choice experiment.Frontiers in public health · 2023Article
- Medical information seeking behavior of urban patients in Zhejiang Province, China: a cross-sectional study.BMC public health · 2022Article
- Experiences and Challenges of Emerging Online Health Services Combating COVID-19 in China: Retrospective, Cross-Sectional Study of Internet Hospitals.JMIR medical informatics · 2022Article
- Artificial intelligence-based internet hospital pharmacy services in China: Perspective based on a case study.Frontiers in pharmacology · 2022Article
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Abstract
backgroundThe issuing of regulation schemes and the expanding health insurance coverage for virtual visits of internet hospitals would incentivize Chinese providers and patients to use virtual visits tremendously. China's internet hospitals vary in sponsorship. However, little is known about patients' intention to use virtual visits delivered by different sponsorship types of internet hospitals.
objectiveThe goal of the research is to examine patients' intention to use virtual visits, as well as virtual visits delivered by different sponsorship types of internet hospitals. In addition, we will identify determinants of patients' intention to use virtual visits, as well as intention to use virtual visits delivered by different sponsorship types of internet hospitals.
methodsA cross-sectional survey of 1653 participants was conducted in 3-tier hospitals in 3 cities with different income levels in May and June 2019. Binary logistic regression analysis was used to identify the factors that affect patients' intention to use virtual visits. Multinomial logistic regression analysis was conducted to identify the determinants of the intention to use virtual visits delivered by different sponsorship types of internet hospitals (ie, enterprise-sponsored, hospital-sponsored, and government-sponsored).
resultsA total of 76.64% (1145/1494) of adult participants were online medical information seekers, and 87.06% (969/1113) of online medical information seekers had intention to use virtual visits. Public hospital-sponsored internet hospitals were the most prevalent ones among Chinese patients (473/894, 52.9%), followed by the provincial government internet hospital platform (238/894, 26.6%), digital health companies (116/894, 13.0%), medical e-commerce companies (48/894, 5.4%), private hospitals (13/894, 1.5%), and other companies (6/894, 0.7%). Gender, education, monthly income, and consumer type were significantly associated with the intention to use virtual visits. Gender, age, education, city income level, consumer type, and trust in the sponsor of a health website were significantly associated with the patient's intention to use virtual visits delivered by 3 different sponsorship types of internet hospitals.
conclusionsChinese patients who were online medical information seekers had high intention to use virtual visits and had different intentions to use virtual visits delivered by different sponsorship types of internet hospitals. Public hospitals, the government, and digital health companies were the top 3 sponsorship types of internet hospitals that patients had intention to use. Trust in a health website sponsor significantly influenced the patient's intention to use virtual visits delivered by different sponsorship types of internet hospitals. Gender, education, and consumer type were the factors significantly associated with both the intention to use virtual visits and the intention to use virtual visits delivered by different sponsorship types of internet hospitals.
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