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Accepted for/Published in: JMIR mHealth and uHealth

Date Submitted: Dec 29, 2018
Open Peer Review Period: Dec 29, 2018 - Jan 26, 2019
Date Accepted: Apr 8, 2019
(closed for review but you can still tweet)

The final, peer-reviewed published version of this preprint can be found here:

Apps to Support Self-Management for People With Hypertension: Content Analysis

Hui CY, Creamer E, Pinnock H, McKinstry B

Apps to Support Self-Management for People With Hypertension: Content Analysis

JMIR Mhealth Uhealth 2019;7(6):e13257

DOI: 10.2196/13257

PMID: 31162124

PMCID: 6746067

Warning: This is an author submission that is not peer-reviewed or edited. Preprints - unless they show as "accepted" - should not be relied on to guide clinical practice or health-related behavior and should not be reported in news media as established information.

Apps to Support Self-Management for People With Hypertension: Content Analysis

  • Chi Yan Hui; 
  • Emily Creamer; 
  • Hilary Pinnock; 
  • Brian McKinstry

Background:

Home blood pressure monitoring (HBPM) is one component of effective supported self-management, which may potentially be mediated by mobile apps.

Objective:

The aim of this study was to identify the self-management features (HBPM and broader support strategies) offered by currently available apps and to determine the features associated with download frequency and user ratings.

Methods:

We searched Google Play store, Apple App store, National Health Services Apps Library and myhealthapps.net (first search on February 1, 2018; updated August 18, 2018). We included high blood pressure apps available in the United Kingdom and extracted their features, number of downloads, and the average users’ rating from the app stores. We mapped the features to the holistic Practical Reviews In Self-Management Support (PRISMS) taxonomy of self-management support. We employed a regression analysis to determine if any features were associated with download frequency or user rating.

Results:

We included 151 apps. The 3 most common features were as follows: monitoring blood pressure (BP) and charting logs; lifestyle (exercise or dietary) advice; and providing information about hypertension. The other 11 components of the PRISMS taxonomy were rarely featured. There was little evidence to support associations between specific features and the download statistics and rating scores, with only 2 uncommon features achieving borderline significant associations. The presence of social support features, such as a forum, was weakly but significantly (R2=.04, P=.02) correlated with the number of downloads. Apps designed specifically for particular BP monitors/smart watches were weakly associated with a higher rating score (R2=.05, P<.001). Apps with more ratings were associated with more downloads (R2=.91, P<.001).

Conclusions:

The functionality of currently available apps is limited to logging BP, offering lifestyle advice, and providing information about hypertension. Future app development should consider broadening the remit to produce a system that can respond flexibly to the diversity of support that enables people to self-manage their hypertension.


 Citation

Please cite as:

Hui CY, Creamer E, Pinnock H, McKinstry B

Apps to Support Self-Management for People With Hypertension: Content Analysis

JMIR Mhealth Uhealth 2019;7(6):e13257

DOI: 10.2196/13257

PMID: 31162124

PMCID: 6746067

Per the author's request the PDF is not available.

© The authors. All rights reserved. This is a privileged document currently under peer-review/community review (or an accepted/rejected manuscript). Authors have provided JMIR Publications with an exclusive license to publish this preprint on it's website for review and ahead-of-print citation purposes only. While the final peer-reviewed paper may be licensed under a cc-by license on publication, at this stage authors and publisher expressively prohibit redistribution of this draft paper other than for review purposes.