Published on in Vol 22, No 10 (2020): October

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/18801, first published .
Wearable Technology Acceptance in Health Care Based on National Culture Differences: Cross-Country Analysis Between Chinese and Swiss Consumers

Wearable Technology Acceptance in Health Care Based on National Culture Differences: Cross-Country Analysis Between Chinese and Swiss Consumers

Wearable Technology Acceptance in Health Care Based on National Culture Differences: Cross-Country Analysis Between Chinese and Swiss Consumers

Journals

  1. Zhang Z, Xia E, Huang J. Impact of the Moderating Effect of National Culture on Adoption Intention in Wearable Health Care Devices: Meta-analysis. JMIR mHealth and uHealth 2022;10(6):e30960 View
  2. Dagher L, Nedunchezhian S, El Hajjar A, Zhang Y, Deffer O, Russell A, Pottle C, Marrouche N. A cardiovascular clinic patients’ survey to assess challenges and opportunities of digital health adoption during the COVID-19 pandemic. Cardiovascular Digital Health Journal 2022;3(1):31 View
  3. Chen J, Li T, You H, Wang J, Peng X, Chen B. Behavioral Interpretation of Willingness to Use Wearable Health Devices in Community Residents: A Cross-Sectional Study. International Journal of Environmental Research and Public Health 2023;20(4):3247 View
  4. Bianchi C, Tuzovic S, Kuppelwieser V. Investigating the drivers of wearable technology adoption for healthcare in South America. Information Technology & People 2023;36(2):916 View
  5. Ahn H, Park E. Determinants of consumer acceptance of mobile healthcare devices: An application of the concepts of technology acceptance and coolness. Telematics and Informatics 2022;70:101810 View
  6. Chapman B, Lucey E, Boyer E, Babu K, Smelson D, Carreiro S. Perceptions on wearable sensor-based interventions for monitoring of opioid therapy: A qualitative study. Frontiers in Digital Health 2022;4 View
  7. Calegari L, Tortorella G, Fettermann D. Getting Connected to M-Health Technologies through a Meta-Analysis. International Journal of Environmental Research and Public Health 2023;20(5):4369 View
  8. Ramasawmy M, Poole L, Thorlu-Bangura Z, Chauhan A, Murali M, Jagpal P, Bijral M, Prashar J, G-Medhin A, Murray E, Stevenson F, Blandford A, Potts H, Khunti K, Hanif W, Gill P, Sajid M, Patel K, Sood H, Bhala N, Modha S, Mistry M, Patel V, Ali S, Ala A, Banerjee A. Frameworks for Implementation, Uptake, and Use of Cardiometabolic Disease–Related Digital Health Interventions in Ethnic Minority Populations: Scoping Review. JMIR Cardio 2022;6(2):e37360 View
  9. Rha J, Nam Y, Ahn S, Kim J, Chang Y, Jang J, Kurita K, Park J, Eom K, Moon H, Jung M, Kim Y, Hwang J, Choo H. What drives the use of wearable healthcare devices? A cross-country comparison between the US and Korea. DIGITAL HEALTH 2022;8:205520762211203 View
  10. Peng C, Zhao H, Zhang S. Determinants and Cross-National Moderators of Wearable Health Tracker Adoption: A Meta-Analysis. Sustainability 2021;13(23):13328 View
  11. Calegari L, R.D. B, Fettermann D. A meta-analysis of a comprehensive m-health technology acceptance. International Journal of Lean Six Sigma 2024;15(1):1 View
  12. Yao Y, Li Z, He Y, Zhang Y, Guo Z, Lei Y, Zhao Q, Li D, Zhang Z, Zhang Y, Liao X. Factors affecting wearable ECG device adoption by general practitioners for atrial fibrillation screening: cross-sectional study. Frontiers in Public Health 2023;11 View
  13. Memenga P, Baumann E, Luetke Lanfer H, Reifegerste D, Geulen J, Weber W, Hahne A, Müller A, Weg-Remers S. Intentions of Patients With Cancer and Their Relatives to Use a Live Chat on Familial Cancer Risk: Results From a Cross-Sectional Web-Based Survey. Journal of Medical Internet Research 2023;25:e45198 View
  14. Addison C, Grandner M, Baron K. Sleep medicine provider perceptions and attitudes regarding consumer sleep technology. Journal of Clinical Sleep Medicine 2023;19(8):1457 View
  15. Lee V, Vijayakumar S, Ng W, Lau N, Leong Q, Ooi D, Su L, Lee Y, Chan S, Blasiak A, Ho D. Personalization and localization as key expectations of digital health intervention in women pre- to post-pregnancy. npj Digital Medicine 2023;6(1) View
  16. van den Beuken W, Sayre M, Olasveengen T, Sunshine J. Wolf Creek XVII part 3: Automated cardiac arrest diagnosis. Resuscitation Plus 2023;16:100499 View
  17. Wong A, Tso W, Su J, Hui V, Chow K, Wong S, Wong B, Wong F, Fukumoto Y. Effectiveness of support from community health workers on the sustained use of a wearable monitoring device among community-dwelling older adults: A randomized trial protocol. PLOS ONE 2023;18(12):e0294517 View
  18. Deguchi N, Osuka Y, Kojima N, Motokawa K, Iwasaki M, Inagaki H, Miyamae F, Okamura T, Hirano H, Awata S, Sasai H. Sex-specific factors associated with acceptance of smartwatches among urban older adults: the Itabashi longitudinal study on aging. Frontiers in Public Health 2024;12 View
  19. Lee E, Bao H, Wu Y, Wang M, Wong Y, Viswanath K. Examining health apps and wearable use in improving physical and mental well-being across U.S., China, and Singapore. Scientific Reports 2024;14(1) View
  20. van den Beuken W, van Schuppen H, Demirtas D, van Halm V, van der Geest P, Loer S, Schwarte L, Schober P. Investigating Users’ Attitudes Toward Automated Smartwatch Cardiac Arrest Detection: Cross-Sectional Survey Study. JMIR Human Factors 2024;11:e57574 View
  21. Nagappan A, Krasniansky A, Knowles M. Patterns of Ownership and Usage of Wearable Devices in the United States, 2020-2022: Survey Study. Journal of Medical Internet Research 2024;26:e56504 View
  22. Veiga I, Naranjo-Zolotov M, Martins R, Oliveira T, Karatzas S, Wang F. Indoor Air Quality: Predicting and Comparing Protective Behaviors in Germany and Portugal. Indoor Air 2024;2024(1) View
  23. Abdulsadig R, Devani N, Singh S, Patel Z, Pramono R, Mandal S, Rodriguez-Villegas E. Clinical Validation of Respiratory Rate Estimation Using Acoustic Signals from a Wearable Device. Journal of Clinical Medicine 2024;13(23):7199 View
  24. Jairam D, K S S, Nayak S. Embracing smart wellness: Exploring perceptions of preventive healthcare technology in the digital era. F1000Research 2025;14:125 View
  25. Yingnan Z, Shulin Z, Minxia L, qiao Z, Xiaoqing S. Patient and informal caregiver-centered nursing interventions for adults with heart failure: A systematic review and meta-analysis. Intensive and Critical Care Nursing 2025;88:103943 View
  26. Hinakura K, Sakurai R, Sasai H, Ogawa S, Seino S, Hata T, Fujiwara Y, Awata S. Characteristics of Wearable Activity Tracker Users and Their Association with Health-Management Satisfaction Among Older Japanese Adults. Sage Open Aging 2025;11 View
  27. Norbu T, Park J, Wong K, Cui H. Understanding Consumer Acceptance for Blockchain-Based Digital Payment Systems in Bhutan. Future Internet 2025;17(4):134 View
  28. Jairam D, K S S, Nayak S. Embracing smart wellness: Exploring perceptions of preventive healthcare technology in the digital era. F1000Research 2025;14:125 View
  29. Liu Y, De Mulatier S, Matsuhisa N. Unperceivable Designs of Wearable Electronics. Advanced Materials 2025 View
  30. Kwame Fobiri G, Eghan B, Kanyire Seidu R, Tawiah B. A review of functionalized graphene-oxide in wearable textile sensors and supercapacitors for biomedical applications. Essential Chem 2025;2(1) View
  31. Hoang Y, Ho D, Chen Y, Chiu W, Liu K, Chiu T, Chen L, Fang L, Huong L, Lieu N, Hieu N, Lin W, Sakai T, Faradina A, Mayasari N, Vega J, Bañares E, Sangopas P, Lainampetch J, Handayani D, Chang J. The moderating effect of economic development levels on the adoption of eNutrition technologies in medical education: A multinational survey across six Asian countries. DIGITAL HEALTH 2025;11 View
  32. Vowels L, Francois-Walcott R, Grandjean M, Darwiche J, Vowels M. Navigating relationships with GenAI chatbots: User attitudes, acceptability, and potential. Computers in Human Behavior: Artificial Humans 2025;5:100183 View
  33. Yuxin L, Salih S, Shaari N. Technical Functions of Digital Wearable Products (DWPs) in the Consumer Acceptance Model: A Systematic Review and Bibliometric Analysis with a Biomimetic Perspective. Biomimetics 2025;10(8):483 View
  34. Verma B, Chawla U. Analyzing wearable technology resistance among older adults: exploring the impact of health consciousness and perceived self-efficacy. Information Discovery and Delivery 2025 View
  35. Jairam D, K S S, Nayak S. Embracing smart wellness: Exploring perceptions of preventive healthcare technology in the digital era. F1000Research 2025;14:125 View
  36. Shiu L, Huang Y, Liu C, Cheng Y, Chen Y. eHealth Literacy Mediating Social Support and Technology Acceptance Among Patients With Chronic Illnesses: A Cross‐Sectional Study. Journal of Advanced Nursing 2025 View
  37. Tsoumani N, Klironomos I, Antona M, Kampanis N, Kochiadakis G, Stephanidis C, Karageorgos S, Notas G. Cross-Sectional Study of the Changes in Attitudes of Post-Acute Coronary Syndromes Patients Towards Remote Biosignal Monitoring an eHealth Support in a 5-Year Interval. Journal of Clinical Medicine 2025;14(17):6272 View
  38. Fernandes Prabhu D, Gurupur V, Stone A, Trader E. Integrating Artificial Intelligence, Electronic Health Records, and Wearables for Predictive, Patient-Centered Decision Support in Healthcare. Healthcare 2025;13(21):2753 View

Books/Policy Documents

  1. Link E. Technologiegestützte Ansätze in der Community-basierten Prävention und Gesundheitsförderung. View

Conference Proceedings

  1. Farrell W, Pammer M, Drebert J. 2021 IEEE International Conference on Technology and Entrepreneurship (ICTE). COVID Contact Tracing App Technology Acceptance Among Students View
  2. Al-Jaroodi J, Mohamed N, Kesserwan N, Jawhar I. 2023 IEEE International Systems Conference (SysCon). Human Factors Affecting the Adoption of Healthcare 4.0 View