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

Demographics of Users, Social & Digital Divide (756) Cardiovascular Disease Prevention (140) Participatory Medicine & E-Patients (781) Information Seeking, Information Needs (478)

Published on in Vol 23, No 8 (2021): August

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/23765, first published .
Health Information Technology Use Among Persons With Self-reported Atherosclerotic Cardiovascular Disease: Analysis of the 2011-2018 National Health Interview Survey

Health Information Technology Use Among Persons With Self-reported Atherosclerotic Cardiovascular Disease: Analysis of the 2011-2018 National Health Interview Survey

Health Information Technology Use Among Persons With Self-reported Atherosclerotic Cardiovascular Disease: Analysis of the 2011-2018 National Health Interview Survey

Authors of this article:

Uchenna Nwokeji1 Author Orcid Image ;   Erin M Spaulding2, 3, 4 Author Orcid Image ;   Rongzi Shan5 Author Orcid Image ;   Ruth-Alma Turkson-Ocran6 Author Orcid Image ;   Diana Baptiste2 Author Orcid Image ;   Binu Koirala2 Author Orcid Image ;   Timothy B Plante7 Author Orcid Image ;   Seth S Martin3, 4, 8, 9 Author Orcid Image ;   Yvonne Commodore-Mensah2, 4, 9 Author Orcid Image
Article Authors Cited by (8) Tweetations (11) Metrics

Journals

  1. Hernandez M, Rodriguez F. Health Techequity: Opportunities for Digital Health Innovations to Improve Equity and Diversity in Cardiovascular Care. Current Cardiovascular Risk Reports 2023;17(1):1 View
  2. Onyeaka H, Acquah I, Firth J, Khan B, Baiden P, Muoghalu C, Anugwom G, Torous J. Trends and factors associated with use of digital health technology among adults with serious psychological distress in the United States: A secondary data analysis of the National Health Interview Survey. Population Medicine 2022;4(February):1 View
  3. Akinola S, Telukdarie A. Sustainable Digital Transformation in Healthcare: Advancing a Digital Vascular Health Innovation Solution. Sustainability 2023;15(13):10417 View
  4. McNeill E, Lindenfeld Z, Mostafa L, Zein D, Silver D, Pagán J, Weeks W, Aerts A, Des Rosiers S, Boch J, Chang J. Uses of Social Determinants of Health Data to Address Cardiovascular Disease and Health Equity: A Scoping Review. Journal of the American Heart Association 2023;12(21) View
  5. Obeid S, Mashiach-Eizenberg M, Gur A, Lavy I. Examining Ethnic Disparities in Digital Healthcare Services Utilization: Insights from Israel. Journal of Multidisciplinary Healthcare 2023;Volume 16:3533 View
  6. Chen Y, Turkson-Ocran R, Koirala B, Davidson P, Commodore-Mensah Y, Himmelfarb C. Association Between the Composite Cardiovascular Risk and mHealth Use Among Adults in the 2017-2020 Health Information National Trends Survey: Cross-Sectional Study. Journal of Medical Internet Research 2024;26:e46277 View
  7. Smith A, Kindratt T. Health Information Technology Use among Foreign-Born Adults of Middle Eastern and North African Descent in the United States. Journal of Immigrant and Minority Health 2024;26(6):1016 View

Books/Policy Documents

  1. Baptiste D, Rodney T, Turkson-Ocran R, Ogungbe O, Commodore-Mensah Y. Transforming Social Determinants to Promote Global Health. View