Academic Journal
Using Theory-Based Frameworks to Identify Barriers, Facilitators, Expectations, and Willingness to Pay for Online Medical Consultation Services in China: Qualitative Study.
| Τίτλος: | Using Theory-Based Frameworks to Identify Barriers, Facilitators, Expectations, and Willingness to Pay for Online Medical Consultation Services in China: Qualitative Study. |
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| Συγγραφείς: | Dong S; Department of Pharmacy, Peking University Third Hospital, Beijing, China.; Department of Infectious Diseases and Public Health, Jockey Club College of Veterinary Medicine and Life Sciences, City University of Hong Kong, To Yuen Building, 31 To Yuen Street, Hong Kong, China (Hong Kong), 852 34426956., Cai Q; Department of Pharmacy, Peking University Third Hospital, Beijing, China.; Department of Metabolism, Digestion and Regeneration, School of Medicine, Imperial College London, London, England, United Kingdom., Ye J; School of Public Health, Li Ka Shing Faculty of Medicine, University of Hong Kong, Hong Kong, China (Hong Kong)., Chen Y; School of Nursing, Jinan University, Guangzhou, China., Zhao R; Department of Pharmacy, Peking University Third Hospital, Beijing, China., Ming WK; Department of Infectious Diseases and Public Health, Jockey Club College of Veterinary Medicine and Life Sciences, City University of Hong Kong, To Yuen Building, 31 To Yuen Street, Hong Kong, China (Hong Kong), 852 34426956. |
| Πηγή: | JMIR human factors [JMIR Hum Factors] 2026 Oct 06; Vol. 13, pp. e96448. Date of Electronic Publication: 2026 Oct 06. |
| Τύπος έκδοσης: | Journal Article |
| Γλώσσα: | English |
| Στοιχεία περιοδικού: | Publisher: JMIR Publications Inc Country of Publication: Canada NLM ID: 101666561 Publication Model: Electronic Cited Medium: Internet ISSN: 2292-9495 (Electronic) Linking ISSN: 22929495 NLM ISO Abbreviation: JMIR Hum Factors Subsets: MEDLINE |
| Imprint Name(s): | Original Publication: Toronto : JMIR Publications Inc, [2014]- |
| Ιατρικοί όροι (MeSH): | Patient Acceptance of Health Care*/psychology , Telemedicine*/economics , Remote Consultation*/economics, Humans ; Female ; Qualitative Research ; China ; Male ; Adult ; Middle Aged ; Aged |
| Περίληψη: | Background: Online medical consultation (OMC) services have gained considerable attention as an integral component of telemedicine. Recently, AI has been increasingly integrated into OMC platforms, facilitating more efficient consultations and clinical decision-making. AI-driven OMC services can provide preliminary triage, medication guidance, and diagnostics for multiple medical conditions. Despite the availability and potential benefits of AI-driven OMC services, public acceptance and willingness to pay (WTP) for these services remain low. Objective: This study aimed to identify perceived barriers, facilitators, expectations, and factors shaping public acceptance of and stated WTP for AI-driven OMC services. Methods: We conducted semistructured qualitative interviews with patients, caregivers, and health care professionals to explore barriers, facilitators, expectations, and factors shaping public acceptance of and stated WTP for AI-driven OMC services. The study was informed by the theories of perceived risk and perceived benefit, which guided the development of the interview guide. All interviews were audio-recorded and transcribed verbatim. Data were analyzed using NVivo (version 15; Lumivero) with deductive thematic analysis guided by these theories. Coding was conducted independently and cross-checked by 2 researchers to ensure credibility and consistency. Results: Thematic analysis of 20 in-depth interviews identified 2 main themes and 11 subthemes. Perceived risks and perceived benefits emerged as 2 key perspectives influencing participants' acceptance and WTP. Psychological, governance, social, functional, health, and financial risks reduced acceptance, whereas convenience, diversity, reliability, efficiency, and educational benefits promoted it. Participants' self-reported WTP ranged from RMB 0 to RMB 200 (US $0-$27.28; RMB 1=US $0.1364 as of January 15, 2025), with participants who had prior experience with OMC generally reporting higher values than those without prior OMC experience. Conclusions: This study identified facilitators and barriers influencing public acceptance of and WTP for AI-driven OMC services using theoretical constructs. Our findings offer valuable insights into the development and refinement of AI-driven OMC services, enabling more targeted pricing strategies and tailored services that address public preferences and concerns, as well as supporting the development of standardized regulatory governance for digital medical consultation platforms. (© Shujie Dong, Qiushi Cai, Jingyi Ye, Yanya Chen, Rongsheng Zhao, Wai-kit Ming. Originally published in JMIR Human Factors (https://humanfactors.jmir.org).) |
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| Contributed Indexing: | Keywords: barriers; AI; facilitators; in-depth interview; online medical consultation; public perception; qualitative research; willingness to pay |
| Entry Date(s): | Date Created: 20261006 Date Completed: 20261006 Latest Revision: 20261008 |
| Update Code: | 20261008 |
| PubMed Central ID: | PMC13641756 |
| DOI: | 10.2196/96448 |
| PMID: | 42837677 |
| Βάση Δεδομένων: | MEDLINE |
| ISSN: | 2292-9495 |
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| DOI: | 10.2196/96448 |