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

eHealth Literacy / Digital Literacy (358) Secondary Use of Clinical Data for Research and Surveillance (325) Demographics of Users, Social & Digital Divide (685) Participatory Medicine & E-Patients (758) Personal Health Records, Patient-Accessible Electronic Health Records, Patient Portals (543) Electronic Health Records (971)

Published on in Vol 24, No 9 (2022): September

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/35772, first published .
Digital Health Literacy as a Predictor of Awareness, Engagement, and Use of a National Web-Based Personal Health Record: Population-Based Survey Study

Digital Health Literacy as a Predictor of Awareness, Engagement, and Use of a National Web-Based Personal Health Record: Population-Based Survey Study

Digital Health Literacy as a Predictor of Awareness, Engagement, and Use of a National Web-Based Personal Health Record: Population-Based Survey Study

Authors of this article:

Christina Cheng1 Author Orcid Image ;   Emma Gearon2 Author Orcid Image ;   Melanie Hawkins1 Author Orcid Image ;   Crystal McPhee3 Author Orcid Image ;   Lisa Hanna4 Author Orcid Image ;   Roy Batterham5 Author Orcid Image ;   Richard H Osborne1 Author Orcid Image
Article Authors Cited by (13) Tweetations (11) Metrics

Journals

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  2. Yu Y, Wu Y, Huang Z, Sun X. Associations between media use, self-efficacy, and health literacy among Chinese rural and urban elderly: A moderated mediation model. Frontiers in Public Health 2023;11 View
  3. Deng W, M J J van der Kleij R, Shen H, Wei J, Brakema E, Guldemond N, Song X, Li X, van Tol M, Aleman A, Chavannes N. eHealth-Based Psychosocial Interventions for Adults With Insomnia: Systematic Review and Meta-analysis of Randomized Controlled Trials. Journal of Medical Internet Research 2023;25:e39250 View
  4. Walle A, Ferede T, Baykemagn N, Shimie A, Kebede S, Tegegne M, Wubante S, Yehula C, Demsash A, Melaku M, Mengistie M. Predicting healthcare professionals’ acceptance towards electronic personal health record systems in a resource-limited setting: using modified technology acceptance model. BMJ Health & Care Informatics 2023;30(1):e100707 View
  5. Lockwood K, Pitter V, Kulkarni P, Graham S, Auster-Gussman L, Branch O, Ayatollahi H. Predictors of program interest in a digital health pilot study for heart health. PLOS Digital Health 2023;2(7):e0000303 View
  6. Vena-Oya J, Castañeda-García J, Burys J. Chatbot Service Quality: An Experiment Comparing Two Countries with Different Levels of Digital Literacy. Tourism and Hospitality 2024;5(2):276 View
  7. Yoo S, Sung J, Lee K, Hong B, Oh E, Kim S, Lee J. The needs for digital health and eHeath literacy of cancer patients, caregivers, and healthcare providers: A multicenter, descriptive correlational study. European Journal of Oncology Nursing 2024;70:102581 View
  8. Ji H, Dong J, Pan W, Yu Y. Associations between digital literacy, health literacy, and digital health behaviors among rural residents: evidence from Zhejiang, China. International Journal for Equity in Health 2024;23(1) View
  9. Sassone B, Fuca' G, Pedaci M, Lugli R, Bertagnin E, Virzì' S, Bovina M, Pasanisi G, Mandini S, Myers J, Tolomeo P. Analysis of Demographic and Socioeconomic Factors Influencing the Adherence to a Web-based Intervention Among Patients after Acute Coronary Syndrome: a Prospective Observational Cohort Study. (Preprint). JMIR Cardio 2024 View
  10. Perotti L, Stamm O, Dietrich M, Buchem I, Müller-Werdan U. The usability and user experience of an interactive e-learning platform to empower older adults when using electronic personal health records: an online intervention study. Universal Access in the Information Society 2024 View
  11. Reinders P, Augustin M, Otten M. General and dermatological population's use and acceptance of digital health in Germany – a representative survey. JDDG: Journal der Deutschen Dermatologischen Gesellschaft 2024 View
  12. Derr J, Schrode K. Empowering Patients Through Health Information. Physician Assistant Clinics 2024 View
  13. Rotem R, Galvin D, Daykan Y, Mi Y, Tabirca S, O’Reilly B. Revolutionizing urogynecology: Machine learning application with patient-centric technology: Promise, challenges, and future directions. European Journal of Obstetrics & Gynecology and Reproductive Biology 2024;300:49 View