This paper is in the following e-collection/theme issue:

eHealth Literacy / Digital Literacy (538) Consumer & Patient Education and Shared-Decision Making (869) Demographics of Users, Social & Digital Divide (920) User Needs and Competencies (461) Participatory Medicine & E-Patients (878)

Published on in Vol 23, No 9 (2021): September

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/26721, first published .
The Association Between Patients' eHealth Literacy and Satisfaction With Shared Decision-making and Well-being: Multicenter Cross-sectional Study

The Association Between Patients' eHealth Literacy and Satisfaction With Shared Decision-making and Well-being: Multicenter Cross-sectional Study

The Association Between Patients' eHealth Literacy and Satisfaction With Shared Decision-making and Well-being: Multicenter Cross-sectional Study

Authors of this article:

Richard Huan Xu1, 2 Author Orcid Image ;   Ling-Ming Zhou3 Author Orcid Image ;   Eliza Lai-Yi Wong2 Author Orcid Image ;   Dong Wang3 Author Orcid Image
Article Authors Cited by (41) Tweetations (16) Metrics

Journals

  1. Chang J, Fu M, Cao P, Ding C, Wang D. Patient-Reported Quality of Life Before and After Total Knee Arthroplasty: A Multicenter Observational Study. Patient Preference and Adherence 2022;Volume 16:737 View
  2. Refahi H, Klein M, Feigerlova E. e-Health Literacy Skills in People with Chronic Diseases and What Do the Measurements Tell Us: A Scoping Review. Telemedicine and e-Health 2023;29(2):198 View
  3. Wong S, Lim H, Chin A, Chang F, Yip K, Teo C, Abdullah A, Ng C. eHealth literacy of patients attending a primary care clinic in Malaysia and its associated factors: A cross-sectional study. DIGITAL HEALTH 2022;8:205520762211353 View
  4. Mitsutake S, Takahashi Y, Otsuki A, Umezawa J, Yaguchi-Saito A, Saito J, Fujimori M, Shimazu T. Chronic Diseases and Sociodemographic Characteristics Associated With Online Health Information Seeking and Using Social Networking Sites: Nationally Representative Cross-sectional Survey in Japan. Journal of Medical Internet Research 2023;25:e44741 View
  5. Xu R, Bao X, Shi L, Wang D. Associations between eHealth literacy, mental health-seeking attitude, and mental wellbeing among young electronic media users in China during the COVID-19 pandemic. Frontiers in Public Health 2023;11 View
  6. Saukkonen P, Elovainio M, Virtanen L, Kaihlanen A, Nadav J, Lääveri T, Vänskä J, Viitanen J, Reponen J, Heponiemi T. The Interplay of Work, Digital Health Usage, and the Perceived Effects of Digitalization on Physicians’ Work: Network Analysis Approach. Journal of Medical Internet Research 2022;24(8):e38714 View
  7. Heron N, O’Connor S, Kee F, Thompson D, Cupples M, Donnelly M. Refining a primary care shared decision-making aid for lifestyle change: a mixed-methods study. BJGP Open 2022;6(1):BJGPO.2021.0100 View
  8. Chang J, Yuan Y, Fu M, Wang D. Health-related quality of life among patients with knee osteoarthritis in Guangzhou, China: a multicenter cross-sectional study. Health and Quality of Life Outcomes 2023;21(1) View
  9. Xu R, Shi L, Shi Z, Li T, Wang D. Investigating Individuals’ Preferences in Determining the Functions of Smartphone Apps for Fighting Pandemics: Best-Worst Scaling Survey Study. Journal of Medical Internet Research 2023;25:e48308 View
  10. Wollney E, Vasquez T, Fisher C, Armstrong M, Paige S, Alpert J, Bylund C. A systematic scoping review of patient and caregiver self-report measures of satisfaction with clinicians’ communication. Patient Education and Counseling 2023;117:107976 View
  11. Estrela M, Semedo G, Roque F, Ferreira P, Herdeiro M. Sociodemographic determinants of digital health literacy: A systematic review and meta-analysis. International Journal of Medical Informatics 2023;177:105124 View
  12. Xu R, Chan H, Shi L, Li T, Wang D. Moderating Effect of eHealth Literacy on the Associations of Coronaphobia With Loneliness, Irritability, Depression, and Stigma in Chinese Young Adults: Bayesian Structural Equation Model Study. JMIR Public Health and Surveillance 2023;9:e47556 View
  13. Hakeem F, Abdouh I, Hamadallah H, Alarabi Y, Almuzaini A, Abdullah M, Altarjami A. The Association between Electronic Health Literacy and Oral Health Outcomes among Dental Patients in Saudi Arabia: A Cross-Sectional Study. Healthcare 2023;11(12):1804 View
  14. Çetin M, Gümüş R. Research into the relationship between digital health literacy and healthy lifestyle behaviors: an intergenerational comparison. Frontiers in Public Health 2023;11 View
  15. Holmen H, Flølo T, Tørris C, Løyland B, Almendingen K, Bjørnnes A, Albertini Früh E, Grov E, Helseth S, Kvarme L, Malambo R, Misvær N, Rasalingam A, Riiser K, Sandbekken I, Schippert A, Sparboe-Nilsen B, Sundar T, Sæterstrand T, Utne I, Valla L, Winger A, Torbjørnsen A. Unpacking the Public Health Triad of Social Inequality in Health, Health Literacy, and Quality of Life—A Scoping Review of Research Characteristics. International Journal of Environmental Research and Public Health 2023;21(1):36 View
  16. Duong H, Chang P. Topics Included in Health Literacy Studies in Asia: A Systematic Review. Asia Pacific Journal of Public Health 2024;36(1):8 View
  17. Green G. Examining the mediating roles of eHealth literacy dimensions between health status and well-being perspectives among seniors in the digital era. Computer Methods and Programs in Biomedicine Update 2024;5:100150 View
  18. Zhao B, Huang L, Cheng X, Chen T, Li S, Wang X, Huang S, Hu R, Li H. Digital health literacy and associated factors among internet users from China: a cross-sectional study. BMC Public Health 2024;24(1) View
  19. Nayak S, Nayak V, G. S. S. Exploring the acceptance of robotic assisted surgery among the Indian population: An empirical investigation. F1000Research 2024;13:544 View
  20. Nayak S, Nayak V, G. S. S. Exploring the acceptance of robotic assisted surgery among the Indian population: An empirical investigation. F1000Research 2024;13:544 View
  21. Lee S. Association Between Korean Adults' Electronic Health Literacy and Active Participation in Health Decision-Making. CIN: Computers, Informatics, Nursing 2025;43(1) View
  22. Nayak S, Nayak V, G. S. S. Exploring the acceptance of robotic assisted surgery among the Indian population: An empirical investigation. F1000Research 2024;13:544 View
  23. Ban S, Kim Y, Seomun G. Digital health literacy: A concept analysis. DIGITAL HEALTH 2024;10 View
  24. Yang B, Wang X, Zhao Y. Did internet usage reduce the impact of COVID-19 on the mental health of middle-aged and older adults? A difference-in-differences study based on CFPS data. Frontiers in Psychology 2024;15 View
  25. Silva Í, Silva C, Martiniano C, Araújo A, Figueirêdo R, Lapão L, Moioli R, Brito E, Uchôa S. Digital health and quality of care in Primary Health Care: an evaluation model. Frontiers in Public Health 2024;12 View
  26. Hwang M, Kim G, Lee S, Park Y. Digital Health Literacy and Associated Factors Among Older Adults Living Alone in South Korea: A Cross-Sectional Study. Research in Community and Public Health Nursing 2024;35:389 View
  27. Hua Z, Yuqing S, Qianwen L, Hong C. Factors Influencing eHealth Literacy Worldwide: Systematic Review and Meta-Analysis. Journal of Medical Internet Research 2025;27:e50313 View
  28. Swain E, Haughton R, Palmer V, Obeime I, McMichael A. Shared decision-making in central centrifugal cicatricial alopecia. Clinical and Experimental Dermatology 2025;50(5):998 View
  29. Jiazhen Qian , Xinyu Yao , Ting Liu . Assessment of electronic health literacy and its association with self-management among gout patients: A cross-sectional study. Archives of Rheumatology 2024;39(3):358 View
  30. Standaar L, Israel A, van der Vaart R, Keij B, van Lenthe F, Friele R, Beenackers M, van Tuyl L. The Motivations of Citizens to Attend an eHealth Course in the Public Library: Qualitative Interview Study. JMIR Formative Research 2025;9:e60612 View
  31. Wang X, Wu Y, Bai X, Wang Y, Wang J, Zang S. Understanding Chinese adults' attitudes toward nurse prescribing: A national cross-sectional study. International Journal of Nursing Studies 2025;166:105064 View
  32. Zhang J, Hoevenaar-Blom M, Jian X, Hou H, Ge S, Brayne C, Eggink E, Hafdi M, He M, Wang G, Wang W, Zhang W, Yu Y, Niu Y, Lyu J, Song L, Wang W, Wang Y, Moll van Charante E, Song M. Implementation of a coach-supported mHealth intervention for dementia prevention in China: a qualitative study among Chinese participants and coaches in the PRODEMOS trial. Journal of Global Health 2025;15 View
  33. Stephen D, Nordin A, Johansson U, Nilsson J. eHealth Literacy and Its Association With Demographic Factors, Disease-Specific Factors, and Well-Being Among Adults With Type 1 Diabetes: Cross-Sectional Survey Study. JMIR Diabetes 2025;10:e66117 View
  34. Allah S, Hassan S, Ajaleen M, Jamhour M, Al-sharif R. Decoding e-health literacy among Palestinian adolescents: a qualitative study in the West bank. BMC Public Health 2025;25(1) View
  35. Sainimnuan S, Preedachitkul R, Petchthai P, Paokantarakorn Y, Siriussawakul A, Srinonprasert V. Low Prevalence of Adequate eHealth Literacy and Willingness to Use Telemedicine Among Older Adults: Cross-Sectional Study From a Middle-Income Country. Journal of Medical Internet Research 2025;27:e65380 View
  36. GÖKDUMAN KELEŞ M, TOKER E. Relationships Among Cancer Screening Participation, E-Health Literacy, and Healthy Lifestyle Behaviors in a Group of Turkish Women: A Structural Equation Modeling Analysis. Health Care Analysis 2025 View
  37. Berkowsky R, Almanza B, Garcia J, Graza N. Factors predicting eHealth literacy: A profile of California, USA. PEC Innovation 2025;7:100410 View
  38. Bonifanti L, Ko C, Ownby R. The Role of Electronic Health (eHealth) Literacy in Patient Activation: A Sequential Block Regression Analysis Controlling for Sociodemographic Factors. Cureus 2025 View
  39. Liu J, Jiang K, Yang T, Xu R, Xuan Y, Han Y, Lu W. Information technology perception and value cocreation behavior influence patient satisfaction in chronic disease care. Scientific Reports 2025;15(1) View

Books/Policy Documents

  1. Kayser L, Phanareth K. Digital Respiratory Healthcare. View
  2. Song D, Yang Y, Liu A, WangMu Y. Cross-Cultural Design. View