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

Demographics of Users, Social & Digital Divide (739) New Methods (945) Ubiquitous Health (uHealth) (123)

Published on in Vol 22, No 6 (2020): June

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/14977, first published .
The Demographic Representativeness and Health Outcomes of Digital Health Station Users: Longitudinal Study

The Demographic Representativeness and Health Outcomes of Digital Health Station Users: Longitudinal Study

The Demographic Representativeness and Health Outcomes of Digital Health Station Users: Longitudinal Study

Authors of this article:

Leah Flitcroft1 Author Orcid Image ;   Won Sun Chen1 Author Orcid Image ;   Denny Meyer1 Author Orcid Image
Article Authors Cited by (10) Tweetations (4) Metrics

Journals

  1. Anagnostou P, Tasoulis S, Vrahatis A, Georgakopoulos S, Prina M, Ayuso-Mateos J, Bickenbach J, Bayes-Marin I, Caballero F, Egea-Cortés L, García-Esquinas E, Leonardi M, Scherbov S, Tamosiunas A, Galas A, Haro J, Sanchez-Niubo A, Plagianakos V, Panagiotakos D. Enhancing the Human Health Status Prediction: The ATHLOS Project. Applied Artificial Intelligence 2021;35(11):834 View
  2. Fukuda H, Murata F, Azuma S, Fujimoto M, Kudo S, Kobayashi Y, Saho K, Nakahara K, Ono R, Dür M. Development of a data platform for monitoring personal health records in Japan: The Sustaining Health by Integrating Next-generation Ecosystems (SHINE) Study. PLOS ONE 2023;18(2):e0281512 View
  3. Li J. Digital technologies for mental health improvements in the COVID-19 pandemic: a scoping review. BMC Public Health 2023;23(1) View
  4. Amer S, Bahumayim A, Shah J, Aleisa N, Hani B, Omar D. Prevalence and Determinants of Mobile Health Applications Usage: A National Descriptive Study. Frontiers in Public Health 2022;10 View
  5. Park M, Bui L, Jeong M, Choi E, Lee N, Kwak M, Kim J, Kim J, Jung J, Shin O, Na J, Guk H. Exploring the Health and Social Needs of Community Residents Using an Online Community Care Platform: Linkage to the International Classification of Functioning, Disability, and Health. Healthcare Informatics Research 2022;28(3):198 View
  6. Stergiou G, Parati G, Kollias A, Schutte A, Asayama K, Asmar R, Bilo G, de la Sierra A, Dolan E, Filipovsky J, Head G, Kario K, Kyriakoulis K, Mancia G, Manios E, Menti A, McManus R, Mihailidou A, Muntner P, Niiranen T, Ohkubo T, Omboni S, Protogerou A, Saladini F, Sharman J, Shennan A, Shimbo D, Topouchian J, Wang J, O’Brien E, Palatini P. Requirements for design and function of blood pressure measuring devices used for the management of hypertension: Consensus Statement by the European Society of Hypertension Working Group on Blood Pressure Monitoring and Cardiovascular Variability and STRIDE BP. Journal of Hypertension 2023;41(12):2088 View
  7. Nolde J, Streets F, Meyer D, Chen W, Wei J, Wickramasinghe N, Hannebery P, Lambert G, Schlaich M. Trends in blood pressure changes and hypertension prevalence in Australian adults before and during the COVID‐19 pandemic. The Journal of Clinical Hypertension 2024;26(2):145 View
  8. Janssen A, Donnelly C, Shaw T. A Taxonomy for Health Information Systems. Journal of Medical Internet Research 2024;26:e47682 View
  9. Lakoma S, Pasanen H, Lahdensuo K, Pehkonen J, Viinikainen J, Torkki P. Quality of the digital gp visits and characteristics of the users: retrospective observational study. Scandinavian Journal of Primary Health Care 2024;42(4):686 View
  10. Knöchelmann A, Healy K, Frese T, Kantelhardt E, Mikolajczyk R, Meyer G, Schildmann J, Steckelberg A, Herke M. User profiles in digitalized healthcare: active, potential, and rejecting — a cross-sectional study using latent class analysis. BMC Health Services Research 2024;24(1) View