Apps to Support Self-Management for People With Hypertension: Content Analysis
| Autor: | Emily Creamer, Chi Yan Hui, Hilary Pinnock, Brian McKinstry |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2019 |
| Předmět: |
Telemedicine
self-management hypertension 020205 medical informatics Download telehealth Internet privacy Health Informatics Information technology 02 engineering and technology Telehealth App store Smartwatch 03 medical and health sciences Social support 0302 clinical medicine mobile app 0202 electrical engineering electronic engineering information engineering Humans 030212 general & internal medicine Original Paper Self-management business.industry T58.5-58.64 Mobile Applications United Kingdom Content analysis telemedicine Public aspects of medicine RA1-1270 Psychology business |
| Zdroj: | JMIR mHealth and uHealth JMIR mHealth and uHealth, Vol 7, Iss 6, p e13257 (2019) Hui, C Y, Creamer, E, Pinnock, H & McKinstry, B 2019, ' Apps to support self-management for people with hypertension: content analysis ', JMIR mHealth and uHealth . https://doi.org/10.2196/13257 |
| ISSN: | 2291-5222 |
| DOI: | 10.2196/13257 |
| Popis: | BackgroundHome blood pressure monitoring (HBPM) is one component of effective supported self-management, which may potentially be mediated by mobile apps. ObjectiveThe 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. MethodsWe 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. ResultsWe 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 |
| Databáze: | OpenAIRE |
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