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

mHealth for Symptom and Disease Monitoring, Chronic Disease Management (1399) Mobile Health (mhealth) (2939)

Published on in Vol 4, No 2 (2016): Apr-Jun

Evaluation of the Use of Home Blood Pressure Measurement Using Mobile Phone-Assisted Technology: The iVitality Proof-of-Principle Study

Evaluation of the Use of Home Blood Pressure Measurement Using Mobile Phone-Assisted Technology: The iVitality Proof-of-Principle Study

Evaluation of the Use of Home Blood Pressure Measurement Using Mobile Phone-Assisted Technology: The iVitality Proof-of-Principle Study

Authors of this article:

Liselotte W Wijsman1 Author Orcid Image ;   Edo Richard2, 3 Author Orcid Image ;   Ricardo Cachucho4 Author Orcid Image ;   Anton JM de Craen1 Author Orcid Image ;   Susan Jongstra3 Author Orcid Image ;   Simon P Mooijaart1, 5 Author Orcid Image
Article Authors Cited by (11) Tweetations (6) Metrics

Journals

  1. Searcy R, Summapund J, Estrin D, Pollak J, Schoenthaler A, Troxel A, Dodson J. Mobile Health Technologies for Older Adults with Cardiovascular Disease: Current Evidence and Future Directions. Current Geriatrics Reports 2019;8(1):31 View
  2. Bostrom J, Sweeney G, Whiteson J, Dodson J. Mobile health and cardiac rehabilitation in older adults. Clinical Cardiology 2020;43(2):118 View
  3. Georgi N, Kuchenbuch M, Corvol A, Jeannes R. An Overview of Blood Pressure Measurement in Telemonitoring Context. IEEE Consumer Electronics Magazine 2020;9(5):42 View
  4. McManus D, Trinquart L, Benjamin E, Manders E, Fusco K, Jung L, Spartano N, Kheterpal V, Nowak C, Sardana M, Murabito J. Design and Preliminary Findings From a New Electronic Cohort Embedded in the Framingham Heart Study. Journal of Medical Internet Research 2019;21(3):e12143 View
  5. Rehman H, Kamal A, Morris P, Sayani S, Merchant A, Virani S. Mobile Health (mHealth) Technology for the Management of Hypertension and Hyperlipidemia: Slow Start but Loads of Potential. Current Atherosclerosis Reports 2017;19(3) View
  6. Lanssens D, Vonck S, Storms V, Thijs I, Grieten L, Gyselaers W. The impact of a remote monitoring program on the prenatal follow-up of women with gestational hypertensive disorders. European Journal of Obstetrics & Gynecology and Reproductive Biology 2018;223:72 View
  7. Jongstra S, Wijsman L, Cachucho R, Hoevenaar-Blom M, Mooijaart S, Richard E. Cognitive Testing in People at Increased Risk of Dementia Using a Smartphone App: The iVitality Proof-of-Principle Study. JMIR mHealth and uHealth 2017;5(5):e68 View
  8. Moussa Y, Mahdanian A, Yu C, Segal M, Looper K, Vahia I, Rej S. Mobile Health Technology in Late-Life Mental Illness: A Focused Literature Review. The American Journal of Geriatric Psychiatry 2017;25(8):865 View
  9. Jiang J, Zhu Q, Zheng Y, Zhu Y, Li Y, Huo Y. Perceptions and Acceptance of mHealth in Patients With Cardiovascular Diseases: A Cross-Sectional Study. JMIR mHealth and uHealth 2019;7(2):e10117 View
  10. Lanssens D, Thijs I, Gyselaers W, Lanssens D, De Jonge E, Van Holsbeke C, Mesens T, Jacquemyn Y, Mannaerts D, Devlieger R, Van Calsteren K, Logghe H, Lebbe B. Design of the Pregnancy REmote MOnitoring II study (PREMOM II): a multicenter, randomized controlled trial of remote monitoring for gestational hypertensive disorders. BMC Pregnancy and Childbirth 2020;20(1) View
  11. Hashida K, Lee J, Furutani T, Tsushima W, Tamura K. Test-Retest Reliability and Reliable Change Index of Mobile Application Neurocognitive Testing Among Middle and High School Athletes. Journal of Athletic Training 2024;59(2):153 View