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

Use and User Demographics of mHealth (344) Mobile Health (mhealth) (2982) Demographics of Users, Social & Digital Divide (760) mHealth for Symptom and Disease Monitoring, Chronic Disease Management (1428) Hypertension Prevention and Treatment (229)

Published on in Vol 7, No 1 (2019): January

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/12228, first published .
Mobile Phone Ownership, Health Apps, and Tablet Use in US Adults With a Self-Reported History of Hypertension: Cross-Sectional Study

Mobile Phone Ownership, Health Apps, and Tablet Use in US Adults With a Self-Reported History of Hypertension: Cross-Sectional Study

Mobile Phone Ownership, Health Apps, and Tablet Use in US Adults With a Self-Reported History of Hypertension: Cross-Sectional Study

Authors of this article:

Aisha T Langford1 Author Orcid Image ;   Craig A Solid2 Author Orcid Image ;   Ebony Scott1 Author Orcid Image ;   Meeki Lad3 Author Orcid Image ;   Eli Maayan3 Author Orcid Image ;   Stephen K Williams4 Author Orcid Image ;   Azizi A Seixas4 Author Orcid Image
Article Authors Cited by (35) Tweetations (4) Metrics

Journals

  1. Omboni S. Connected Health in Hypertension Management. Frontiers in Cardiovascular Medicine 2019;6 View
  2. Moghimi E, Davis C, Rotondi M. eHealth Treatments for Compulsive Overeating: a Narrative Review. Current Addiction Reports 2020;7(3):395 View
  3. Guan L, Peng T, Zhu J. Who is Tracking Health on Mobile Devices: Behavioral Logfile Analysis in Hong Kong. JMIR mHealth and uHealth 2019;7(5):e13679 View
  4. Langford A, Orellana K, Kalinowski J, Aird C, Buderer N. Use of Tablets and Smartphones to Support Medical Decision Making in US Adults: Cross-Sectional Study. JMIR mHealth and uHealth 2020;8(8):e19531 View
  5. Davoudi A, Lee N, Chivers C, Delaney T, Asch E, Reitz C, Mehta S, Chaiyachati K, Mowery D. Patient Interaction Phenotypes With an Automated Remote Hypertension Monitoring Program and Their Association With Blood Pressure Control: Observational Study. Journal of Medical Internet Research 2020;22(12):e22493 View
  6. Sprowls G, Brown J, Robin B. The Shoulder Telehealth Assessment Tool in Transition to Distance Orthopedics. Arthroscopy Techniques 2020;9(11):e1673 View
  7. Tomasella F, Morgan H. “Sometimes I don’t have a pulse … and I’m still alive!” Interviews with healthcare professionals to explore their experiences of and views on population-based digital health technologies. DIGITAL HEALTH 2021;7 View
  8. Khoong E, Olazo K, Rivadeneira N, Thatipelli S, Barr-Walker J, Fontil V, Lyles C, Sarkar U. Mobile health strategies for blood pressure self-management in urban populations with digital barriers: systematic review and meta-analyses. npj Digital Medicine 2021;4(1) View
  9. Nimbalkar S, Parikh P. Messaging Applications: Implications for Healthcare. Indian Pediatrics 2021;58(7):693 View
  10. Yuting Z, Xiaodong T, Qun W. Effectiveness of a mHealth intervention on hypertension control in a low-resource rural setting: A randomized clinical trial. Frontiers in Public Health 2023;11 View
  11. Ionov M, Konradi A. Telehealth in hypertensive patients: to whom, how and for how long?. "Arterial’naya Gipertenziya" ("Arterial Hypertension") 2022;28(2):108 View
  12. Patel R, Ding J, Marvel F, Shan R, Plante T, Blaha M, Post W, Martin S. Associations of Demographic, Socioeconomic, and Cognitive Characteristics With Mobile Health Access: MESA (Multi‐Ethnic Study of Atherosclerosis). Journal of the American Heart Association 2022;11(17) View
  13. Fuad A, Herwanto G, Pertiwi A, Wahyuningtias S, Harsini H, Maula A, Putri D, Probandari A, Ahmad R. Design and prototype of TOMO: an app for improving drug resistant TB treatment adherence. F1000Research 2021;10:983 View
  14. Sunjaya A, Sengupta A, Martin A, Di Tanna G, Jenkins C. Efficacy of self-management mobile applications for patients with breathlessness: Systematic review and quality assessment of publicly available applications. Respiratory Medicine 2022;201:106947 View
  15. Sheshadri A, Makhnoon S, Alousi A, Bashoura L, Andrade R, Miller C, Stolar K, Arain M, Noor L, Balagani A, Jain A, Blanco D, Ortiz A, Taylor M, Stenzler A, Mehta R, Popat U, Hosing C, Ost D, Champlin R, Dickey B, Peterson S. Home-Based Spirometry Telemonitoring After Allogeneic Hematopoietic Cell Transplantation: Mixed Methods Evaluation of Acceptability and Usability. JMIR Formative Research 2022;6(2):e29393 View
  16. Andrews J, Craven M, Lang A, Guo B, Morriss R, Hollis C. The impact of data from remote measurement technology on the clinical practice of healthcare professionals in depression, epilepsy and multiple sclerosis: survey. BMC Medical Informatics and Decision Making 2021;21(1) View
  17. McManis M, O'Brien T, Zurmehly J, Smith L. Mobile Health Application and Hypertension Management in Rural, Middle-Aged Adults. CIN: Computers, Informatics, Nursing 2023;41(6):421 View
  18. Lai W, Visaria A, Østbye T, Malhotra R. Prevalence and correlates of use of digital technology for managing hypertension among older adults. Journal of Human Hypertension 2023;37(1):80 View
  19. Daniore P, Nittas V, von Wyl V. Enrollment and Retention of Participants in Remote Digital Health Studies: Scoping Review and Framework Proposal. Journal of Medical Internet Research 2022;24(9):e39910 View
  20. AboMoslim M, Babili A, Ghaseminejad-Tafreshi N, Manson M, Fattah F, El Joueidi S, Staples J, Tam P, Lester R. Mobile phone access and preferences among medical inpatients at an urban Canadian hospital for post-discharge planning: A pre-COVID-19 cross-sectional survey. Frontiers in Digital Health 2022;4 View
  21. Eze C, West B, Dorsch M, Coe A, Lester C, Buis L, Farris K. Predictors of Smartphone and Tablet Use Among Patients With Hypertension: Secondary Analysis of Health Information National Trends Survey Data. Journal of Medical Internet Research 2022;24(1):e33188 View
  22. Jurado-Castro J, Vargas-Molina S, Gómez-Urquiza J, Benítez-Porres J. Effectiveness of real-time classroom interactive competition on academic performance: a systematic review and meta-analysis. PeerJ Computer Science 2023;9:e1310 View
  23. Liang J, Aranda M. The Use of Telehealth Among People Living With Dementia-Caregiver Dyads During the COVID-19 Pandemic: Scoping Review. Journal of Medical Internet Research 2023;25:e45045 View
  24. Damian A, Mihăilescu A, Anghele C, Ciobanu C, Petrescu C, Riga S, Dionisie V, Ciobanu A. Quality of Life Predictors in a Group of Informal Caregivers during the COVID-19 Pandemic. Medicina 2023;59(8):1486 View
  25. Mahmood A, Kim H, Chang C, Kedia S, Arshad H, Dillon P. mHealth Apps Use and Their Associations With Healthcare Decision-Making and Health Communication Among Informal Caregivers: Evidence From the National Cancer Institute’s Health Information National Trends Survey. American Journal of Health Promotion 2024;38(1):40 View
  26. Rogers E, Reidlinger T, Loria A, Oplinger A, Raza S, Gestring M, Vella M. Medical Information During Trauma Resuscitations: Are Smartphones the Contemporary Medical ID Bracelet?. Journal of Surgical Research 2023;291:313 View
  27. Neely S, Long S, Cygan H, Kalensky M. Broadcast health: Leveraging YouTube for community health education. Public Health Nursing 2024;41(2):209 View
  28. Kalinowski J, Bhusal S, Pagoto S, Newton Jr R, Waring M. Smart Device Ownership and Use of Social Media, Wearable Trackers, and Health Apps Among Black Women With Hypertension in the United States: National Survey Study. JMIR Cardio 2024;8:e59243 View
  29. Farag N, Noë A, Patrinos D, Zawati M. Mapping the Apps: Ethical and Legal Issues with Crowdsourced Smartphone Data using mHealth Applications. Asian Bioethics Review 2024;16(3):437 View
  30. Ozaki I, Nishijima M, Shibata E, Zako Y, Chiang C. Factors Related to mHealth App Use Among Japanese Workers: Cross-Sectional Survey. JMIR Human Factors 2024;11:e54673 View
  31. Liu Q, Ning E, Ross M, Cladek A, Kabir S, Barve A, Kennelly E, Hussain F, Duffecy J, Langenecker S, Nguyen T, Tulabandhula T, Zulueta J, Demos A, Leow A, Ajilore O. Digital Phenotypes of Mobile Keyboard Backspace Rates and Their Associations With Symptoms of Mood Disorder: Algorithm Development and Validation. Journal of Medical Internet Research 2024;26:e51269 View

Books/Policy Documents

  1. Oladapo H, Owusu E, Chakraborty J. Advances in Usability, User Experience, Wearable and Assistive Technology. View
  2. Oladapo H, Chakraborty J. Universal Access in Human-Computer Interaction. Novel Design Approaches and Technologies. View
  3. Upson S, Kusupati V, Bime C. Comprehensive Precision Medicine. View