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

Demographics of Users, Social & Digital Divide (739)

Published on in Vol 20, No 10 (2018): October

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/9436, first published .
Preferences for Health Information Technologies Among US Adults: Analysis of the Health Information National Trends Survey

Preferences for Health Information Technologies Among US Adults: Analysis of the Health Information National Trends Survey

Preferences for Health Information Technologies Among US Adults: Analysis of the Health Information National Trends Survey

Authors of this article:

Onur Asan1 Author Orcid Image ;   Farion Cooper II2 Author Orcid Image ;   Sneha Nagavally2 Author Orcid Image ;   Rebekah J Walker2 Author Orcid Image ;   Joni S Williams2 Author Orcid Image ;   Mukoso N Ozieh2 Author Orcid Image ;   Leonard E Egede2 Author Orcid Image
Article Authors Cited by (32) Tweetations (8) Metrics

Journals

  1. Stagg B, Gupta D, Ehrlich J, Newman-Casey P, Stein J, Kawamoto K, Hess R. The Use of eHealth Practices by United States Patients with Self-Reported Glaucoma. Ophthalmology Glaucoma 2021;4(1):71 View
  2. Doak S, Schwager A, Hensel J. Exposure to and attitudes regarding electronic healthcare (e‐Health) among physician assistants in Canada: A national survey study. Health & Social Care in the Community 2020;28(3):1049 View
  3. Onyeaka H, Wisniewski H, Henson P, Torous J. Understanding the evolving preferences for use of health information technology among adults with self reported anxiety and depression in the U.S. Journal of Behavioral and Cognitive Therapy 2020;30(1):49 View
  4. Duftschmid G, Rinner C, Sauter S, Endel G, Klimek P, Mitsch C, Heinzl H. Patient-Sharing Relations in the Treatment of Diabetes and Their Implications for Health Information Exchange: Claims-Based Analysis. JMIR Medical Informatics 2019;7(2):e12172 View
  5. Ifejika N, Bhadane M, Cai C, Noser E, Grotta J, Savitz S. Use of a Smartphone-Based Mobile App for Weight Management in Obese Minority Stroke Survivors: Pilot Randomized Controlled Trial With Open Blinded End Point. JMIR mHealth and uHealth 2020;8(4):e17816 View
  6. Shan R, Ding J, Plante T, Martin S. Mobile Health Access and Use Among Individuals With or At Risk for Cardiovascular Disease: 2018 Health Information National Trends Survey (HINTS). Journal of the American Heart Association 2019;8(24) View
  7. Greenberg-Worisek A, Kurani S, Finney Rutten L, Blake K, Moser R, Hesse B. Assessing electronic personal health information use: An update on progress toward healthy people 2020 objectives. Health Policy and Technology 2019;8(3):211 View
  8. Seckin G, Hughes S. Patient-Reported Outcomes in a Nationally Representative Sample of Older Internet Users: Cross-sectional Survey. JMIR Aging 2021;4(4):e16006 View
  9. Hansen A, Claudi T, Årsand E. Use of Electronic Health and Its Impact on Doctor-Visiting Decisions Among People With Diabetes: Cross-Sectional Study. Journal of Medical Internet Research 2019;21(4):e13678 View
  10. Balogun O, Bea V, Phillips E. Disparities in Cancer Outcomes Due to COVID-19—A Tale of 2 Cities. JAMA Oncology 2020;6(10):1531 View
  11. Yatabe J, Yatabe M, Ichihara A. The current state and future of internet technology-based hypertension management in Japan. Hypertension Research 2021;44(3):276 View
  12. Elkefi S, Yu Z, Asan O. Online Medical Record Nonuse Among Patients: Data Analysis Study of the 2019 Health Information National Trends Survey. Journal of Medical Internet Research 2021;23(2):e24767 View
  13. Onyeaka H, Romero P, Healy B, Celano C. Age Differences in the Use of Health Information Technology Among Adults in the United States: An Analysis of the Health Information National Trends Survey. Journal of Aging and Health 2021;33(1-2):147 View
  14. Horrell L, Hayes S, Herbert L, MacTurk K, Lawhon L, Valle C, Bhowmick A. Telemedicine Use and Health-Related Concerns of Patients With Chronic Conditions During COVID-19: Survey of Members of Online Health Communities. Journal of Medical Internet Research 2021;23(2):e23795 View
  15. 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
  16. Coma E, Guiriguet C, Mora N, Marzo-Castillejo M, Benítez M, Méndez-Boo L, Fina F, Fàbregas M, Mercadé A, Medina M. Impact of the COVID-19 pandemic and related control measures on cancer diagnosis in Catalonia: a time-series analysis of primary care electronic health records covering about five million people. BMJ Open 2021;11(5):e047567 View
  17. Kindratt T, Allicock M, Atem F, Dallo F, Balasubramanian B. Email Patient-Provider Communication and Cancer Screenings Among US Adults: Cross-sectional Study. JMIR Cancer 2021;7(3):e23790 View
  18. Shaham S, Ding M, Liu B, Dang S, Lin Z, Li J. Privacy Preserving Location Data Publishing: A Machine Learning Approach. IEEE Transactions on Knowledge and Data Engineering 2021;33(9):3270 View
  19. Kozik M, Isakadze N, Martin S. Mobile health in preventive cardiology: current status and future perspective. Current Opinion in Cardiology 2021;36(5):580 View
  20. Liu B, Yabroff K, Zheng Z, Tamler R, Han X. Internet-Based Health Care Communication Among Cancer Survivors, 2011–2018 National Health Interview Survey. Preventing Chronic Disease 2021;18 View
  21. Xiong Z, Zhang L, Li Z, Xu W, Zhang Y, Ye T. Frequency of Online Health Information Seeking and Types of Information Sought Among the General Chinese Population: Cross-sectional Study. Journal of Medical Internet Research 2021;23(12):e30855 View
  22. Zaidi M, Amante D, Anderson E, Ito Fukunaga M, Faro J, Frisard C, Sadasivam R, Lemon S. Association Between Patient Portal Use and Perceived Patient-Centered Communication Among Adults With Cancer: Cross-sectional Survey Study. JMIR Cancer 2022;8(3):e34745 View
  23. Manning S, Wang H, Dwibedi N, Shen C, Wiener R, Findley P, Mitra S, Sambamoorthi U. Association of multimorbidity with the use of health information technology. DIGITAL HEALTH 2023;9 View
  24. Seboka B, Negashe M, Yehualashet D, Kassawe C, Namaro M, Yigeremu M. Health literacy and health information sources in relation to foodborne and waterborne diseases among adults in Gedeo zone, southern Ethiopia, 2022: A community-based cross-sectional study. Heliyon 2023;9(5):e15856 View
  25. Zaidi M, Gazarian P, Mattie H, Sheldon L, Gakumo C. Examining the Impact of Selected Sociodemographic Factors and Cancer-Related Fatalistic Beliefs on Patient Engagement via Health Information Technology Among Older Adults: Cross-Sectional Analysis. JMIR Aging 2023;6:e44777 View
  26. Addario B, Astratinei V, Binder L, Geissler J, Horn M, Krebs L, Lewis B, Oliver K, Spiegel A. A New Framework for Co-Creating Telehealth for Cancer Care with the Patient Community. The Patient - Patient-Centered Outcomes Research 2023;16(5):415 View
  27. Langford A, Orellana K, Buderer N, Andreadis K, Williams S. Role of digital health communication, sociodemographic factors, and medical conditions on perceived quality of patient-centered communication. Patient Education and Counseling 2024;119:108054 View
  28. Atarere J, Haas C, Onyeaka H, Adewunmi C, Delungahawatta T, Orhurhu V, Barrow J. The Role of Health Information Technology on Colorectal Cancer Screening Participation Among Smokers In The United States. Telemedicine and e-Health 2024;30(2):448 View
  29. 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
  30. Deguchi N, Osuka Y, Kojima N, Motokawa K, Iwasaki M, Inagaki H, Miyamae F, Okamura T, Hirano H, Awata S, Sasai H. Sex-specific factors associated with acceptance of smartwatches among urban older adults: the Itabashi longitudinal study on aging. Frontiers in Public Health 2024;12 View
  31. Vasan K, Ananthapadmanabhan S, Chandiok K, Sritharan N. A quality assessment of YouTube as an information resource for tonsillectomy. International Journal of Pediatric Otorhinolaryngology 2024;180:111955 View

Books/Policy Documents

  1. Ramirez A, Trapido E. Advancing the Science of Cancer in Latinos. View