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