OBJECTIVE: This study aimed to review all freely available apps related to the SM of PWEs and to determine the SM domains covered in these apps.
METHODS: We performed a search of apps on Google Play and App Store using the keywords "epilepsy" or "seizures" from May to August 2018. Apps were included if they were free and in English language. We excluded apps with installation-related issues and not related to epilepsy self-management (eSM).
RESULTS: A total of 22 eSM apps were identified in our search: 6 of these run only on iOS, 7 only on Android, and 9 run on both operating systems. Of the 11 domains of SM, seizure tracking and seizure response features were covered by most apps (n=22 and n=19, respectively), followed by treatment management (n=17) and medication adherence (n=15). Three apps (Epilepsy Journal, Epilepsy Tool Kit, and EpiDiary) were installed more than 10,000 times, with features focused specifically on a few domains (treatment management, medication adherence, health care communication, and seizure tracking). Two apps (Young Epilepsy and E-Epilepsy Inclusion) covered more than 6 SM domains but both had lower installation rates (5000+ and 100+, respectively).
CONCLUSIONS: Both Android and iOS mHealth apps are available to improve SM in epilepsy, but the installation rate of most apps remains low. The SM features of these apps were different from one another, making it difficult to recommend a single app that completely fulfills the needs of PWEs. The common features of the apps evaluated included seizure tracking and seizure response. To improve the efficacy and availability of these apps, we propose the following: (1) involve the stakeholders, such as physicians, pharmacists, and PWEs, during the development of mHealth apps; (2) assess the efficacy and acceptance of the apps objectively by performing a usability analysis; and (3) promote the apps so that they benefit more PWEs.
METHODS: A systematic search was conducted using five (Goh et al., 2013) [5] databases: Cochrane, PubMed, Scopus, Science Direct, EBSCO and grey literature. Two reviewers independently screened studies using predefined inclusion and exclusion criteria and performed data extraction. Assessment of methodological quality was completed using the Newcastle-Ottawa checklist.
RESULTS: The quality of most studies were of high quality, with the majority reporting no association between lifestyle factors and NAFLD. A total of 6 studies were included in this systematic review. The prevalence of NAFLD among adolescents varied between 8.0% (Fraser et al., 2007) in a study on 5586 adolescents aged 12-19 and 16.0% (Chen et al., 2009) in another survey of 1724 adolescents aged 12-13 years old. Snacking habits and lack of physical activity had potential associations with adolescent NAFLD. Current evidence shows that lifestyle factor (Western dietary pattern) is associated with a higher risk of developing NAFLD among adolescents.
CONCLUSIONS: Lifestyle factors, including snacking habits and lack of physical activity, were associated with a higher risk of developing NAFLD among adolescents from high-income countries. The difference in the prevalence of NAFLD between countries with different incomes requires further investigation.