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Snooze Rating throughout Children-Are Many of us on course?
on should be considered as an option by policy makers. TRIAL REGISTRATION ClinicalTrials.gov NCT01823861; https//clinicaltrials.gov/ct2/show/NCT01823861. ©Jeremy Hill, Jourdan McGinn, John Cairns, Caroline Free, Chris Smith. Originally published in JMIR mHealth and uHealth (http//mhealth.jmir.org), 25.02.2020.BACKGROUND There are numerous mobile apps for tracking work hours, but only a few of them record work hours automatically instead of relying on manual logging. No apps have been customized for medical staff, whose work schedules are highly complicated as they have both regular hours and on-call duties. OBJECTIVE The specific aims of this study were to (1) identify the Staff Hours app users' GPS-defined work hours, (2) examine the overtime work hours from the app-recorded total work hours and the participants' self-reported scheduled work hours, and (3) compare these app-recorded total work hours among different occupations. METHODS We developed an app, Staff Hours, to automatically calculate a user's work hours via GPS background data. Users can enter their scheduled hours, including regular hours and on-call duties. The app automatically generates overtime reports by comparing the app-recorded total work hours with the user-defined scheduled hours. A total of 183 volunteers (60 females and 123 males; mean age, reduce bias, and allow for better complying with labor regulations. ©Ting-Wei Chiang, Si-Yu Chen, Yuan-Chien Pan, Yu-Hsuan Lin. Originally published in JMIR mHealth and uHealth (http//mhealth.jmir.org), 25.02.2020.BACKGROUND Problems with prospective memory, which refers to the ability to remember future intentions, cause deficits in basic and instrumental activities of daily living, such as taking medications. Older adults show minimal deficits when they rely on mostly preserved and relatively automatic associative retrieval processes. On the basis of this, we propose to provide external cues to support the automatic retrieval of an intended action, that is, to take medicines. To reach this end, we developed the Medication Ambient Display (MAD), a system that unobtrusively presents relevant information (unless it requires the users' attention) and uses different abstract modalities to provide external cues that enable older adults to easily take their medications on time and be aware of their medication adherence. find more OBJECTIVE This study aimed to assess the adoption and effect of external cues provided through ambient displays on medication adherence in older adults. METHODS A total of 16 older adults, who took at least ublished in JMIR mHealth and uHealth (http//mhealth.jmir.org), 02.03.2020.BACKGROUND Smartphone apps are increasingly used for diabetes self-management because of their ubiquity and ability to help users to personalize health care management. The number of diabetes apps has proliferated in recent years, but only a small subset of apps that pose a higher risk are regulated by governmental agencies. The transparency and reliability of information sources are unclear for apps that provide health care advice and are not regulated by governmental agencies. OBJECTIVE This study aimed to assess the transparency and reliability of information disseminated via diabetes apps against 8 criteria adapted from the Health On the Net code of conduct (HONcode) principles. METHODS English-language diabetes-related terms were searched on a market explorer (42matters) on June 12, 2018. Apps with medication and blood glucose management features were downloaded and evaluated against the App-HONcode criteria adapted from the 8 HONcode principles authoritative, complementarity, privacy, attribution, justigher proportion of highly downloaded apps had a privacy and confidentiality clause (high downloads 15/17, 88%; and low downloads 33/64, 52%; P=.006) and were more likely to discuss their financial sources (high downloads 14/17, 82%; and low downloads 32/64, 50%; P=.03) compared with apps with a low number of downloads. CONCLUSIONS Gaps in the disclosure of the developer's qualification, funding source, and the complementary role of the app in disease management were identified. App stores, developers, and medical providers should collaborate to close these gaps and provide more transparency and reliability to app users. Future work can further examine the consent-seeking process for data collection, data management policies, the appropriateness of advertising content, and clarity of privacy clause of these apps. ©Zhilian Huang, Elaine Lum, Josip Car. Originally published in JMIR mHealth and uHealth (http//mhealth.jmir.org), 19.02.2020.BACKGROUND The use of mobile apps for health is growing. This rapid growth in the number of health apps can make it hard to assess their quality and features. The increased demand for and availability of mobile health apps highlights the importance of regular publication of reviews to identify potential areas of unmet needs and concern. The focus of this review is mobile apps for monitoring growth for health care professionals, caregivers, and patients. Monitoring growth as a part of healthy physical development is important across different periods of childhood and adolescence. OBJECTIVE The goal of this content analysis is to map and understand the types of apps that currently exist that are related to growth monitoring and growth hormone treatment. METHODS A semiautomated search was undertaken using the app search engine 42Matters, complemented by a manual search for growth apps using the web search tool of Google Play (Android App Store). Apps were rated on their relevance to growth monitoring and categorture. ©Luis Fernandez-Luque, José I Labarta, Ella Palmer, Ekaterina Koledova. Originally published in JMIR mHealth and uHealth (http//mhealth.jmir.org), 18.02.2020.BACKGROUND Hypertension is a lifestyle-induced chronic disease that threatens the lives of patients. Control of hypertension requires patients to follow self-management regimes; unfortunately, however, patient compliance with hypertension self-management is low, especially in developing countries. Improvement of patient compliance is premised on meeting patient needs. Mobile health apps are becoming increasingly popular for self-management of chronic diseases. However, few mobile apps have been designed to meet patient needs for hypertension self-management. OBJECTIVE The goal of this study was to develop a mobile health app to improve patient compliance with hypertension self-management and evaluate the effectiveness of the app in terms of patient compliance. METHODS Clustering methods based on questionnaire responses were used to group patients. Qualitative interviews were conducted to identify the needs of different groups. In stage 2, several functional modules were designed to meet the needs of different groups based on the results from stage 1.
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