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Mobile and tablet apps, ubiquitous and pervasive computing, wearable computing and domotics for health.
JMIR mHealth and uHealth (JMU, ISSN 2291-5222) is a sister journal of JMIR, the leading eHealth journal. JMIR mHealth and uHealth is indexed in PubMed, PubMed Central, and Science Citation Index Expanded (SCIE), and in June 2017 received an impressive inaugural Impact Factor of 4.636, which ranks the journal #2 (behind JMIR) out of over 20 journals in the medical informatics category indexed by the Science Citation Index Expanded (SCIE) by Thomson Reuters/Clarivate.
The journal focusses on health and biomedical applications in mobile and tablet computing, pervasive and ubiquitous computing, wearable computing and domotics.
JMIR mHealth and uHealth publishes since 2013 and was the first mhealth journal in Pubmed. It publishes even faster and has a broader scope with including papers which are more technical or more formative/developmental than what would be published in the Journal of Medical Internet Research.
JMIR mHealth and uHealth features a rapid and thorough peer-review process, professional copyediting, professional production of PDF, XHTML, and XML proofs.
JMIR mHealth and uHealth adheres to the same quality standards as JMIR and all articles published here are also cross-listed in the Table of Contents of JMIR, the worlds' leading medical journal in health sciences / health services research and health informatics.
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Background: ScreenMen, a mobile web-app which aimed to improve health screening uptake in men was developed based on theories, evidence and needs. Objective: This study aimed to evaluate ScreenMen for...
Background: ScreenMen, a mobile web-app which aimed to improve health screening uptake in men was developed based on theories, evidence and needs. Objective: This study aimed to evaluate ScreenMen for its utility and usability with men from the community. Methods: This study used a mixed-method approach. Healthy men who are working in a banking institution were recruited to participant in this study. They were purposively sampled according to job position, age, education level and screening status. Men were asked to use ScreenMen independently while the screen activities are being recorded. Once completed, retrospective think aloud with playback was conducted with men to obtain their feedback. They were asked to answer the System Usability Scale. Intention to undergo screening pre- and post- intervention were also measured. Qualitative data were analysed using a framework approach and followed by thematic analysis. For quantitative data obtained, the mean SUS score and change in intention to screening were calculated and analyses using McNemar test. Results: Twenty-four men participated in this study. Based on the qualitative data, men found ScreenMen useful as they could learn more about their health risks and screening. They found ScreenMen convenient to use and might trigger men to undergo screening. In terms of usability, men thought that ScreenMen was user-friendly and easy to understand. The key revision done on utility was the addition of a reminder function while for usability, the revisions done were in terms of attracting and gaining users trust; improving learnability; and making ScreenMen usable to all types of users. To attract men to use it, ScreenMen was introduced to users in terms of ‘improving health’ instead of ‘going for screening’. Another important revision made was emphasising the screening tests the users do not need instead of just informing them the screening tests they need. A ‘Quick Assessment Mode’ was also added for users with limited attention span. The quantitative data showed that eight (34.8%) out of 23 men planned to attend screening earlier than intended after using the ScreenMen. Out of 12 men who were in pre-contemplation stage, 4 (33.3%) changed to either contemplation or preparation stage after using ScreenMen. In terms of usability, the SUS score of 76.4 indicated that ScreenMen had good usability. Conclusions: This study showed that ScreenMen was acceptable to men in terms of its utility and usability. The preliminary data suggested that ScreenMen might increase men’s intention to undergo screening. This paper also presented key lessons learnt from the beta testing, which would useful for public health experts and researchers when developing a user-centered mobile web-app. Clinical Trial: Not applicable
Background: Promising first results for Kaia, a mobile app digitalizing multidisciplinary rehabilitation for low back pain, were recently published. It remained unclear, whether the implementation of...
Background: EHealth interventions show stronger effects when informed by solid behaviour change theories. For example, self-regulation models supporting people in translating vague intentions to speci...
Background: EHealth interventions show stronger effects when informed by solid behaviour change theories. For example, self-regulation models supporting people in translating vague intentions to specific actions have shown to be effective in altering health behaviours. Although these theories inform developers about which behaviour change techniques should be included, they provide limited information about how these techniques can be implemented in online interventions in an engaging way. Taking into account the high levels of attrition in eHealth, investigating users’ experience about the implementation of behaviour change techniques might be a fruitful avenue. Objective: We investigated how users experienced the implementation of self-regulation techniques in an online intervention targeting physical activity and sedentary behaviour in the general population. Methods: Twenty adults from the general population used the intervention for a period of five weeks. Users’ website data were explored and semi-structured interviews with each of the users were performed. A directed content analysis was performed using NVivo Software. Results: The techniques ‘providing feedback on performance’, ‘action planning’ and ‘prompting review of behavioural goals’ were appreciated by the users. However, the implementation of ‘barrier identification/problem solving’ appeared to frustrate users. This was also reflected by the users’ website data: many coping plans were of poor quality. Most users were well-aware of the benefits of adopting a more active way of living and stated not to have learned novel information. However, they appreciated the provided information as it reminded them about the importance of having an active lifestyle. Furthermore, prompting users to self-monitor their behavioural change was not stimulating enough to make users actually monitor their behaviour. Conclusions: Iteratively involving potential end-users offers guidance to optimally adapt the implementation of various behaviour change techniques to the target population. We recommend to create short interventions with a straightforward lay-out that support users in creating and evaluating specific plans for action.
The rapid growth of mobile health applications has resulted in confusion among health care providers and the public about which products rely on evidence-based medicine. Only a small subset of mHealth...
The rapid growth of mobile health applications has resulted in confusion among health care providers and the public about which products rely on evidence-based medicine. Only a small subset of mHealth apps are regulated by the US Food and Drug Administration. The system used to accredit and certify laboratory testing under the Clinical Laboratory Improvement Amendment, or CLIA, offers a potential model for ensuring basic standards of quality and safety for mHealth apps. With these products expanding into the realm of diagnosis and treatment, physicians and consumers are in a strong position to demand oversight that delivers safe and high-quality mHealth apps.
Background: One of the greatest challenges for nutritional epidemiology is improving upon traditional self-reporting methods for assessing usual dietary intake. Objective: Evaluating the relative vali...
Background: One of the greatest challenges for nutritional epidemiology is improving upon traditional self-reporting methods for assessing usual dietary intake. Objective: Evaluating the relative validity of a new method known as the current-day dietary recall (current-day recall), based on a Smartphone app called 12-hour dietary recall (e-12HR), for determining the habitual intake of a series of key food/drink groups using a food frequency questionnaire (FFQ) and four dietary records (DRs) as reference methods. Methods: University students over the age of 18 recorded their consumption of certain groups of food/drink using e-12HR for 28 consecutive days. During this 28-day period, they also completed four DRs on randomly selected days. Once the monitoring period was finished, the subjects then completed a FFQ. A comparison was made between the different methods using the Spearman correlation coefficient (SCC), a cross-classification analysis, and weighted kappa (k). Results: A total of 87 participants completed the study (64% women, 56/87; 36% men, 31/87). e-12HR versus FFQ, for all food/drink groups: The average SCC was .70. Cross-classification analysis showed that the average percentage of individuals classified in the exact agreement category was 51.5%; exact agreement + adjacent was 91.8%; and no participant (0.0%) was classified in the extreme disagreement category. The average k was .51. e-12HR versus the four DRs, for all food/drink groups: The average SCC was .63. Cross-classification analysis showed that the average percentage of individuals classified in the exact agreement category was 47.1%; exact agreement + adjacent was 89.2%; and no participant (0.0%) was classified in the extreme disagreement category. The average k was .47. Conclusions: Current-day recall, based on the e-12HR app, is in good agreement with the two reference methods (FFQ & four DRs), demonstrating its potential usefulness for categorizing individuals according to the usual dietary intake of certain food/drink groups.
Background: In response to significant concern regarding inadequate fluid intake recording in care homes, an innovative mobile hydration application was collaboratively developed. ‘Hydr8’ aimed t...
Background: In response to significant concern regarding inadequate fluid intake recording in care homes, an innovative mobile hydration application was collaboratively developed. ‘Hydr8’ aimed to facilitate accurate recording and communication of residents’ fluid intake and ultimately increase care quality and patient safety. Objective: The aim of this study was to examine the implementation of Hydr8 in a sample of care homes within one area in England. Methods: Principles of Realist Evaluation and Action research were drawn upon throughout. Five care homes participated; three interview-only sites and two case-study sites, where interviews and observations were conducted at three time points. Twenty-eight staff participated including care staff, management, a registered nurse and administrative staff. Results: Findings suggest Hydr8 benefited practice: enhancing understanding of hydration and person-centred care, and improving staff communication. However, technical glitches hindered the seamless embedding of Hydr8 into everyday practice and enthusiasm for long-term use was dependent on resolution of issues. Difficulties often related to care home infrastructure, highlighting wider issues regarding the health and social care economy. Hydr8 also heightened perceptions of personal accountability and while managers viewed this as positive, some staff were apprehensive. However individuals were enthusiastic about the long-term use and potential of Hydr8. Conclusions: Utilising the findings from this study to further develop and adapt Hydr8 indicates the long-term use of Hydr8 as promising. Perceptions of Hydr8 were primarily positive, however, setbacks in its implementation and use created difficulties in normalising the solution into everyday practice. This study highlights the need for education relating to hydration practice and a change of infrastructure in care home settings in order to implement technical solutions and changes to care. Clinical Trial: n/a