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A Comparison of Functional Features in Chinese and US Mobile Apps for Diabetes Self-Management: A Systematic Search in App Stores and Content Analysis
Sichuan Univ, West China Hosp, Dept Endocrinol & Metab, 37 Guoxue Rd, Chengdu 610041, Sichuan, Peoples R China;Xi An Jiao Tong Univ, Affiliated Hosp 1, Xian, Shaanxi, Peoples R China.
Sichuan Univ, West China Hosp, Dept Endocrinol & Metab, 37 Guoxue Rd, Chengdu 610041, Sichuan, Peoples R China;Univ Dundee, Ninewells Hosp & Med Sch, Dept Populat Hlth & Genom, Dundee, Scotland.ORCID iD: 0000-0001-6729-3627
Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Medical Cell Biology. Uppsala University, Science for Life Laboratory, SciLifeLab. Univ Dundee, Ninewells Hosp & Med Sch, Dept Populat Hlth & Genom, Dundee, Scotland.
Sun Yat Sen Univ, Zhongshan Ophthalm Ctr, State Key Lab Ophthalmol, Guangzhou, Guangdong, Peoples R China.
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2019 (English)In: JMIR mhealth and uhealth, E-ISSN 2291-5222, Vol. 7, no 8, article id e13971Article in journal (Refereed) Published
Abstract [en]

Background: Mobile health interventions are widely used for self-management of diabetes, which is one of the most burdensome noncommunicable chronic diseases worldwide. However, little is known about the distribution of characteristics and functions of in-store mobile apps for diabetes. Objective: This study aimed to investigate the distribution of characteristics and functions of the in-store mobile apps for self-management of diabetes in the United States and China using a predefined functional taxonomy, which was developed and published in our previous study. Methods: We identified apps by searching diabetes in English or Chinese in the Apple iTunes Store and Android Markets (both in the United States and China) and included apps for diabetes self-management. We examined the validity and reliability of the predefined functional taxonomy with 3 dimensions: clinical module, functional module, and potential risk. We then classified all functions in the included apps according to the predefined taxonomy and compared the differences in the features of these apps between the United States and China. Results: We included 171 mobile diabetes apps, with 133 from the United States and 38 from China. Apps from both countries faced the challenges of evidence-based information, proper risk assessment, and declaration, especially Chinese apps. More Chinese apps provide app-based communication functions (general communication: Chinese vs US apps, 39%, 15/38 vs 18.0%, 24/133; P=.006 and patient-clinician communication: Chinese vs US apps, 68%, 26/38 vs 6.0%, 8/133; P<.001), whereas more US apps provide the decision-making module (Chinese vs US apps, 0%, 0/38 vs 23.3%, 31/133; P=.001), which is a high-risk module. Both complication prevention (Chinese vs US apps, 8%, 3/38 vs 3.8%, 5/133; P=.50) and psychological care (Chinese vs US apps, 0%, 0/38 vs 0.8%, 1/133; P>.99) are neglected by the 2 countries. Conclusions: The distribution of characteristics and functions of in-store mobile apps for diabetes self-management in the United States was different from China. The design of in-store diabetes apps needs to be monitored closely.

Place, publisher, year, edition, pages
JMIR PUBLICATIONS, INC , 2019. Vol. 7, no 8, article id e13971
Keywords [en]
diabetes mellitus, self-management, mobile apps, risk assessment, prevalence, China, United States
National Category
Endocrinology and Diabetes
Identifiers
URN: urn:nbn:se:uu:diva-398844DOI: 10.2196/13971ISI: 000482967800001PubMedID: 31464191OAI: oai:DiVA.org:uu-398844DiVA, id: diva2:1380789
Available from: 2019-12-19 Created: 2019-12-19 Last updated: 2019-12-19Bibliographically approved

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Zhou, YilingWang, XuanLi, JianshuLi, Sheyu
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