@Article{info:doi/10.2196/mhealth.5485,
author="Wijsman, Liselotte W
and Richard, Edo
and Cachucho, Ricardo
and de Craen, Anton JM
and Jongstra, Susan
and Mooijaart, Simon P",
title="Evaluation of the Use of Home Blood Pressure Measurement Using Mobile Phone-Assisted Technology: The iVitality Proof-of-Principle Study",
journal="JMIR Mhealth Uhealth",
year="2016",
month="Jun",
day="13",
volume="4",
number="2",
pages="e67",
keywords="mobile phone; home-based measurements; hypertension; dementia",
abstract="Background: Mobile phone-assisted technologies provide the opportunity to optimize the feasibility of long-term blood pressure (BP) monitoring at home, with the potential of large-scale data collection. Objective: In this proof-of-principle study, we evaluated the feasibility of home BP monitoring using mobile phone-assisted technology, by investigating (1) the association between study center and home BP measurements; (2) adherence to reminders on the mobile phone to perform home BP measurements; and (3) referrals, treatment consequences and BP reduction after a raised home BP was diagnosed. Methods: We used iVitality, a research platform that comprises a Website, a mobile phone-based app, and health sensors, to measure BP and several other health characteristics during a 6-month period. BP was measured twice at baseline at the study center. Home BP was measured on 4 days during the first week, and thereafter, at semimonthly or monthly intervals, for which participants received reminders on their mobile phone. In the monthly protocol, measurements were performed during 2 consecutive days. In the semimonthly protocol, BP was measured at 1 day. Results: We included 151 participants (mean age [standard deviation] 57.3 [5.3] years). BP measured at the study center was systematically higher when compared with home BP measurements (mean difference systolic BP [standard error] 8.72 [1.08] and diastolic BP 5.81 [0.68] mm Hg, respectively). Correlation of study center and home measurements of BP was high (R=0.72 for systolic BP and 0.72 for diastolic BP, both P<.001). Adherence was better in participants measuring semimonthly (71.4{\%}) compared with participants performing monthly measurements (64.3{\%}, P=.008). During the study, 41 (27.2{\%}) participants were referred to their general practitioner because of a high BP. Referred participants had a decrease in their BP during follow-up (mean difference final and initial [standard error] −5.29 [1.92] for systolic BP and −2.93 [1.08] for diastolic BP, both P<.05). Conclusion: Mobile phone-assisted technology is a reliable and promising method with good adherence to measure BP at home during a 6-month period. This provides a possibility for implementation in large-scale studies and can potentially contribute to BP reduction. ",
issn="2291-5222",
doi="10.2196/mhealth.5485",
url="http://mhealth.jmir.org/2016/2/e67/",
url="https://doi.org/10.2196/mhealth.5485",
url="http://www.ncbi.nlm.nih.gov/pubmed/27296628"
}