ArticleJournal of medical systems2023
Development and Initial Use of an Evidence-Based Home Blood Pressure Monitoring mHealth Platform.
Article in Journal of medical systems, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
3 citing papers in PubMed.
- Reimagining Arterial Hypertension and Dyslipidemia Care: Telemedicine's Promise and Pitfalls from the Slovak Patient Viewpoint.Clinics and practice · 2025Article
- Evolving Blood Pressure Estimation: From Feature Analysis to Image-Based Deep Learning Models.Journal of medical systems · 2025Article
- Parents' Perceptions of Their Parenting Journeys and a Mobile App Intervention (Parentbot-A Digital Healthcare Assistant): Qualitative Process Evaluation.Journal of medical Internet research · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Home blood pressure monitoring (HBPM) has been shown to provide a more reliable assessment of blood pressure (BP) than in-office measurement and may lead to improved BP control. While many mHealth apps are available to help users track their blood pressure (BP), no apps incorporate the full set of evidence-based HBPM recommendations for ensuring accurate measurement at home. Through an agile development approach employing user stories, we translated an evidence-based standardized protocol for BP measurement and monitoring over a recommended 3-7 day monitoring period into a mHealth app and corresponding clinician portal. We then pilot tested this platform to assess its feasibility for guiding users to measure BP over multiple days according to this protocol. During this pilot testing, one hundred and twenty five users created an app account; 75 (60.0%) of these users recorded at least one BP reading and 47 (37.6%) completed at least one monitoring period. Through this work, we have demonstrated how a series of guidelines can be systematically translated into a mHealth platform for HBPM. Such platforms may be accessible resources to facilitate standardized HBPM and sharing of readings with providers.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.