@Article{info:doi/10.2196/mhealth.8549,
author="Xie, Bo
and Su, Zhaohui
and Zhang, Wenhui
and Cai, Run",
title="Chinese Cardiovascular Disease Mobile Apps' Information Types, Information Quality, and Interactive Functions for Self-Management: Systematic Review",
journal="JMIR Mhealth Uhealth",
year="2017",
month="Dec",
day="14",
volume="5",
number="12",
pages="e195",
keywords="mobile health; mHealth; cardiovascular disease; CVD; patient preferences; information quality; self-management; mobile applications; mobile apps; China",
abstract="Background: China has a large population with cardiovascular disease (CVD) that requires extensive self-management. Mobile health (mHealth) apps may be a useful tool for CVD self-management. Little is currently known about the types and quality of health information provided in Chinese CVD mobile apps and whether app functions are conducive to promoting CVD self-management. Objective: We undertook a systematic review to evaluate the types and quality of health information provided in Chinese CVD mobile apps and interactive app functions for promoting CVD self-management. Methods: Mobile apps targeting end users in China with CVD conditions were selected in February 2017 through a multi-stage process. Three frameworks were used to evaluate the selected apps: (1) types of health information offered were assessed using our Health Information Wants framework, which encompasses 7 types of information; (2) quality of information provided in the apps was assessed using the 11 guidelines recommended by the National Library of Medicine of the National Institutes of Health; and (3) types of interactive app functions for CVD self-management were assessed using a 15-item framework adapted from the literature, including our own prior work. Results: Of 578 apps identified, 82 were eligible for final review. Among these, information about self-care (67/82, 82{\%}) and information specifically regarding CVD (63/82, 77{\%}) were the most common types of information provided, while information about health care providers (22/82, 27{\%}) and laboratory tests (5/82, 6{\%}) were least common. The most common indicators of information quality were the revealing of apps' providers (82/82, 100{\%}) and purpose (82/82, 100{\%}), while the least common quality indicators were the revealing of how apps' information was selected (1/82, 1{\%}) and app sponsorship (0/82, 0{\%}). The most common interactive functions for CVD self-management were those that enabled user interaction with the app provider (57/82, 70{\%}) and with health care providers (36/82, 44{\%}), while the least common interactive functions were those that enabled lifestyle management (13/82, 16{\%}) and psychological health management (6/82, 7{\%}). None of the apps covered all 7 types of health information, all 11 indicators of information quality, or all 15 interactive functions for CVD self-management. Conclusions: Chinese CVD apps are insufficient in providing comprehensive health information, high-quality information, and interactive functions to facilitate CVD self-management. End users should exercise caution when using existing apps. Health care professionals and app developers should collaborate to better understand end users' preferences and follow evidence-based guidelines to develop mHealth apps conducive to CVD self-management. ",
issn="2291-5222",
doi="10.2196/mhealth.8549",
url="http://mhealth.jmir.org/2017/12/e195/",
url="https://doi.org/10.2196/mhealth.8549",
url="http://www.ncbi.nlm.nih.gov/pubmed/29242176"
}