Published on in Vol 18, No 10 (2016): October

Education-Based Gaps in eHealth: A Weighted Logistic Regression Approach

Education-Based Gaps in eHealth: A Weighted Logistic Regression Approach

Education-Based Gaps in eHealth: A Weighted Logistic Regression Approach

Authors of this article:

Laura Amo 1 Author Orcid Image

Journals

  1. Welbie M, Wittink H, Westerman M, Topper I, Snoei J, Devillé W. A Mobile Patient-Reported Outcome Measure App With Talking Touchscreen: Usability Assessment. JMIR Formative Research 2019;3(3):e11617 View
  2. Tatara N, Hammer H, Andreassen H, Mirkovic J, Kjøllesdal M. The Association Between Commonly Investigated User Factors and Various Types of eHealth Use for Self-Care of Type 2 Diabetes: Case of First-Generation Immigrants From Pakistan in the Oslo Area, Norway. JMIR Public Health and Surveillance 2017;3(4):e68 View
  3. Senft N, Everson J. eHealth Engagement as a Response to Negative Healthcare Experiences: Cross-Sectional Survey Analysis. Journal of Medical Internet Research 2018;20(12):e11034 View
  4. Chen Z, Liu Y, Feng W, Li Y, Li L. Study on spatial tropism distribution of rural settlements in the Loess Hilly and Gully Region based on natural factors and traffic accessibility. Journal of Rural Studies 2022;93:441 View
  5. Müller K, Alstadhaug K, Bekkelund S. Headache patients’ satisfaction with telemedicine: a 12‐month follow‐up randomized non‐inferiority trial. European Journal of Neurology 2017;24(6):807 View
  6. Gordon N, Crouch E. Digital Information Technology Use and Patient Preferences for Internet-Based Health Education Modalities: Cross-Sectional Survey Study of Middle-Aged and Older Adults With Chronic Health Conditions. JMIR Aging 2019;2(1):e12243 View
  7. Nwokeji U, Spaulding E, Shan R, Turkson-Ocran R, Baptiste D, Koirala B, Plante T, Martin S, Commodore-Mensah Y. Health Information Technology Use Among Persons With Self-reported Atherosclerotic Cardiovascular Disease: Analysis of the 2011-2018 National Health Interview Survey. Journal of Medical Internet Research 2021;23(8):e23765 View
  8. Yang R, Zeng K, Jiang Y. Prevalence, Factors, and Association of Electronic Communication Use With Patient-Perceived Quality of Care From the 2019 Health Information National Trends Survey 5-Cycle 3: Exploratory Study. Journal of Medical Internet Research 2022;24(2):e27167 View
  9. Szinay D, Forbes C, Busse H, DeSmet A, Smit E, König L. Is the uptake, engagement, and effectiveness of exclusively mobile interventions for the promotion of weight‐related behaviors equal for all? A systematic review. Obesity Reviews 2023;24(3) View