ArticleInternational journal of medical informatics2020
Impact of Trust and Privacy Concerns on Technology Acceptance in Healthcare: An Indian Perspective.
Article in International journal of medical informatics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 65 papers, 1 of them a synthesis that pooled it.
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Who cites it
65 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Patient Concerns Regarding Artificial Intelligence Applications in Health Care: Systematic Review and Meta-Synthesis Based on Social Ecological Theory.Journal of medical Internet research · 2026Pooled it
- The Impact of Chatbot Type and Normative Messaging on Chatbot Usage Intention Based on the Health Technology Acceptance Model: Randomized Controlled Trial.Journal of medical Internet research · 2026Trial
- Consumer Perspectives on Trust in and Benefits of Artificial Intelligence in Health Care.JAMA network open · 2026Article
- An integrated framework of TOE, RBV, and institutional theory for understanding blockchain adoption in Egyptian public hospitals.Scientific reports · 2026Article
- The Role of Rating Valence in AI Skin Cancer App Acceptance: Eye-Tracking and Questionnaire Study.JMIR human factors · 2026Article
- Ethical Governance of Large Language Models in Health Care: Trust, Responsibility, and Equity in Routine Use.Journal of medical Internet research · 2026Article
- Drones in healthcare logistics: Insights from healthcare professionals' perspective on Zipline delivery services in Ghana.Dialogues in health · 2026Article
- Longitudinal datasets of health app reviews for privacy and trust modeling.Data in brief · 2026Article
- Patients' mHealth Apps Usage and Data Privacy, Security, and Confidentiality Concerns: Exploratory Study.JMIR formative research · 2026Article
- Perspectives Regarding the Privacy, Security, and Confidentiality of Data Collected via mHealth Apps in Saudi Arabia: Qualitative Analysis.Journal of medical Internet research · 2026Article
- Acceptance of Smart Contracts in Patients Receiving Primary Care: Exploratory Study.JMIR formative research · 2026Article
- Privacy concerns regarding personal health information in Myanmar: A cross-sectional survey in a least developed country.PLOS digital health · 2026Article
- Barriers to Digital Health Adoption in Older Adults: Scoping Review Informed by Innovation Resistance Theory.Journal of medical Internet research · 2026Review
- Public awareness, trust, perceived usefulness, and willingness to use ChatGPT for healthcare communication among adults in the Asir Region, Saudi Arabia: a cross-sectional study.Frontiers in public health · 2026Article
- Stakeholder perspectives on telemedicine acceptance and experiences in Uganda: A qualitative study.PLOS global public health · 2026Article
- Health management gaps and EHR willingness among ethnic minority residents with rural backgrounds in Yunnan, China: a mixed-methods study.Frontiers in public health · 2026Article
- Information technology perception and value cocreation behavior influence patient satisfaction in chronic disease care.Scientific reports · 2025Article
- Using a Technology Acceptance Model to Explore the Intention to Use Digital Health Technologies Among People With Disabilities: Cross-Sectional Survey Study.Journal of medical Internet research · 2025Article
- Clinical Decision Support Systems in Indian Healthcare Settings: Benefits, Barriers, and Future Implications.Healthcare (Basel, Switzerland) · 2025Review
- Willingness and influencing factors of adults receiving Hemodialysis to use mobile healthcare apps: a cross-sectional study.BMC nephrology · 2025Article
5 more citing papers are in PubMed but not listed here.
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
No grant is acknowledged in the PubMed record.
Abstract
This paper augments the technology acceptance model (TAM) by empirically investigating the influence of behavioral traits (privacy concerns and trust) and cognitive beliefs (perceived usefulness and perceived ease of use) on patients' behavioral intention to accept technology in healthcare service delivery. Despite increased emphasis on healthcare service delivery, there has been limited studies as to how various behavioral constructs are related to adoption of new technology in healthcare sector. To this end, and to develop meaningful insights, a conceptual model integrating behavioral constructs with constructs related to technology acceptance model is devised. The aim here is essentially to understand relationships that predict patients' acceptance of technology in healthcare services. The devised model is tested on responses obtained from survey of 416 patients availing healthcare service at various primary health centers in New Delhi, India. Structural equation modeling (SEM) is employed to conceptualize the model and validate nine hypotheses entailing key constructs. The results indicate that perceived usefulness, perceived ease of use, trust and privacy concern are direct predictors of patients' behavior to accept technology in availing healthcare services. In summary, this research provides an empirical contribution to the literature on effect of trust and privacy concerns on acceptance of technology in healthcare.
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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 OpenQuestion graph.