The Karma system is currently undergoing maintenance (Monday, January 29, 2018).
The maintenance period has been extended to 8PM EST.
Karma Credits will not be available for redeeming during maintenance.
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 2018 received an Impact Factor of 4.541, which ranks the journal #2 (behind JMIR) out of 25 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.
Right click to copy or hit: ctrl+c (cmd+c on mac)
Background: Due to the widespread use of smartphones, dietary mobile apps are promising tools for preventing diet-related non-communicable diseases early in life. But, most of currently available nutr...
Background: Due to the widespread use of smartphones, dietary mobile apps are promising tools for preventing diet-related non-communicable diseases early in life. But, most of currently available nutrition apps lack scientific evaluation and user acceptance. Objective: The objective of the present study was the systematic design of a theory-driven and target group-adapted dietary mobile app concept to promote healthy eating habits with a focus on drinking habits as well as consumption of fruits and vegetables in adolescents and young adults, especially in deprived life situations. Methods: The design process was guided by the behaviour change wheel (BCW). The development process consisted of three stages. In stage 1, the target behavior was specified, and facilitators and barriers were identified. Furthermore, important insights into target group interests, needs and values in the field of nutrition and apps were revealed. To this end, two empirical studies were conducted with the target group. In stage 2, results of stage 1 were translated into behavior change techniques (BCTs) and finally into app functionalities and features. Consequently, in stage 3, the concept was evaluated and optimized through expert interviews. Results: Facilitators and barriers for achieving the target behavior were psychological capabilities (e.g. self-efficacy), reflective motivation (e.g. fitness), automatic motivation, social support, and physical opportunity (e.g. time). Target group interests, needs and values in the field of nutrition were translated into target group preferences for app usage, e.g. low usage effort, visual feedback or recipes. Education, training, incentives, persuasion, and enablement were identified as relevant interventions functions. Together with the target group preferences, these were translated via 14 BCTs, such as rewards, graded tasks or self-monitoring, into the app concept Challenge to go (C2go). The expert evaluation suggested changes of some app features for improving adherence, positive health effects and technical feasibility. The C2go concept consists of three worlds: (i) drinking, (ii) vegetable, and (iii) fruit world. In each world, the users are faced with challenges including feedbacks and a quiz. Tips were developed based on the health action process approach and help users to gain challenges and thereby achieve the target behavior. Challenges can be played alone or against someone in the community. Due to different activities, points can be collected, and levels can be achieved. Collected points open access to an infothek, where users can choose content that interest them. An avatar guides user through the app. Conclusions: C2go targets adolescents and young adults and aims to improve their fruit and vegetable consumption as well as drinking habits. It is a theory-driven and target group-adapted dietary mobile intervention concept that uses gamification and was systematically developed using the BCW.
Background: Many papers investigating author collaboration might have biases because some different authors with the same name exist. However, no study has dealt with the matter of duplicate names in...
Background: Many papers investigating author collaboration might have biases because some different authors with the same name exist. However, no study has dealt with the matter of duplicate names in bibliometric data. Although betweenness centrality (BC) is one of the most popular degrees of density in social network analysis (SNA), few have applied the BC algorithm to interpret a network’s characteristics. Objective: This study aimed to apply the BC algorithm to examine possible identical names in a network and report the author collaboration characteristics for a journal related to international mobile health research. Methods: We obtained 676 abstracts from Medline based on the keywords of “JMIR mHealth and uHealth” (Journal) on June 30, 2018. The author names, countries/areas, and author-defined keywords were recorded. The BCs were calculated for the following: (1) the countries/areas distributed for the first author in geography, (2) the author clusters dispersed on Google Maps, and (3) the keywords dispersed for the cluster with the most productive author on a dashboard. Pajek software was performed to yield the BC for each entity (or say node). The submission and acceptance days of articles submitted to a journal were compared using two-way ANOVA to examine the differences among authors’ areas over the years. Results: We found that the top two countries with the highest BC were the USA and the UK. The most productive authors with seven papers were Urs-Vito Albrecht (Germany) and Sherif M. Badawy (the USA). The most influential author Ralph Maddison (Australia) earned the highest BC in the authoring network. The keyword of mHealth, as expected, gained the highest BC in the keyword network. All visual representations were successfully displayed on Google Maps. No difference in submission and acceptance days of articles submitted to JMIR mHealth and uHealth was found among continents (F=0.08, df=5, p=0.99) or over the years (F=0.56, df=3, p=0.64). Conclusions: SNA provides deep insight into the patterns of international author collaborations for JMIR mHealth and uHealth. The results on Google Maps are novel and unique as knowledge concept maps for understanding the feature of a specific journal. The research approach using the BC to identify the same author names can be applied to other bibliometric analyses in the future. Clinical Trial: Not available
Background: Remote monitoring technologies are positioned to mitigate the problem of a dwindling care workforce and disparities in access to care for the growing elder immigrant population in the Unit...
Background: Remote monitoring technologies are positioned to mitigate the problem of a dwindling care workforce and disparities in access to care for the growing elder immigrant population in the United States. To achieve these ends, designers and providers need to understand how these supports can be best provided in the context of various socio-cultural environments that shape older adults’ expectations and care relationships, yet few studies have examined how the same remote monitoring technologies may produce difference effects and uses depending on what population is using them in a particular context. Objective: We examine the experiences of low-income and immigrant senior housing residents with a sensor-based passive monitoring system. We are interested in adoption and discontinuation decisions and use over time, rather than projected acceptance or preferences. The senior housing organization had been offering the QuietCare sensor system to its residents for six years at the time of study. Our research question is “Do cultural differences influence use of this remote monitoring technology, and how?” The study does not draw generalizable conclusions about how cultural groups interact with a given technology, but rather, it examines how values are made visible in elder care technology interactions. Methods: The sample population is 49 senior housing residents, family emergency contacts, and social work staff who are responsible for using the QuietCare sensor-based monitoring system in six large senior housing independent living apartment buildings. Interviews were conducted in English and Korean with these participants who collectively had immigrated to the U.S. from ten different countries. Results: The most significant differences in adoption and use of QuietCare were observed between Russian-speaking and Asian residents. None of the more than 200 Russian-speaking residents accepted the remote monitoring system, which social workers attributed to the desire for hands-on care and the expectation that care should be provided to them based on sociopolitical norms of publically provided services. Asian elders accepted the intervention social workers offered largely to appease them, but unlike their U.S.-born counterparts, they adopted reluctantly without hope that it would ameliorate their situation. Asian immigrants discontinued use at the highest rate of all residents and intergenerational family cultural conflict contributed to this termination. Conclusions: This research into the interactions of culturally diverse people with the same monitoring technology reveals the significant role that social values and context play in shaping how people and families interact with and experience elder care interventions. If technology-based care services are to reach their full potential, it will be important to identify the ways cultural values produce different uses and responses to technologies intended to help older adults live independently.
Insomnia can significantly affect students’ learning performance. Researchers have indicated the importance and challenge of coping with insomnia using non-drug treatments, such as the cognitive beh...
Insomnia can significantly affect students’ learning performance. Researchers have indicated the importance and challenge of coping with insomnia using non-drug treatments, such as the cognitive behavioral therapy for insomnia (CBT-I). However, it is easy for the traditional CBT-I to be interrupted owing to the overly lengthy period of sleep therapy. Self-regulated learning (SRL) strategies are known to be an effective approach for helping students improve their time management as well as their ability to set learning goals and adopt learning strategies. Therefore, in this study, a mobile sleep-management learning system integrated with self-regulated learning strategies and cognitive behavioral therapy is proposed. With the assistance of this proposed approach, students are able to plan their daily life by setting goals, applying strategies, monitoring their life habits process, and modifying strategies to cultivate good learning and healthy lifestyle habits. A total of 18 undergraduate students from a university in northern Taiwan participated in the 2-week experiment of using this sleep-management system. The experimental results showed that the proposed approach was useful and easy for the students to use. The number of students with insomnia also significantly decreased; that is, the proposed approach could help the students improve their sleep quality and cultivate better sleeping habits, which is important for them to enhance their learning efficiency.
Background: Despite the fact there are many wearable and mobile medical devices that enable patients to better self-manage their diabetes, not many patients are aware of all the options they have. In...
Background: Despite the fact there are many wearable and mobile medical devices that enable patients to better self-manage their diabetes, not many patients are aware of all the options they have. In addition, there are those, who are not fully satisfied with the devices they use and, besides that, they often do not use them effectively. Objective: Deeper understanding of patients’ needs and abilities can help to both tailor a given device for a particular group of patients and assemble sets and types of devices that best comply with the needs of the patients. Methods: 6 specific patients (3 men and 3 women), who have been using the Diani telemedicine system for at least 3 months up to 4 years, were properly instructed by a technology educator in how to operate each of the system components. Before starting to use the system and during the monitoring phase, the patients took interviews with a doctor and the educator about their daily regimen, technology capabilities, life preferences and similar topics. The technology educator was also tracking patterns of handling the devices 1) by observation while educating the patients on how to use them, and 2) via the Diani web application during the monitoring phase. Informed consent was signed and obtained from each of the patients included. Results: Each of the presented case study describes how a given patient is handling the system and its particular parts based on his/her lifestyle, level of education, manners in diabetes management, personality type and other factors. At the conclusion of each case study, the best composition of devices for patients with similar personal description is suggested. Conclusions: Except for the input information we get about a patient, it is obvious that there is a substantial need for proper education of both patients and healthcare providers. We believe this article can provide a relevant guidance on how to help particular patients choose the best technology that is likely to fit them the most, based on specific patient information we are able to obtain from them.
Background: Cognitive Bias Modification of Interpretations (CBM-I) is a computerized intervention designed to change negatively biased interpretations of ambiguous information, which underlie and rein...
Background: Cognitive Bias Modification of Interpretations (CBM-I) is a computerized intervention designed to change negatively biased interpretations of ambiguous information, which underlie and reinforce anxiety. The repetitive and monotonous features of CBM-I can negatively impact on training adherence and learning processes. Objective: This proof-of-concept study examined whether performing a CBM-I training using mobile Virtual Reality technology (VR-CBM-I) improves training experience and effectiveness. Methods: Forty-two students high in trait anxiety completed one session of either VR-CBM-I or standard CBM-I training for performance anxiety. Participants’ feelings of immersion and presence, emotional reactivity, and changes in interpretation bias and state anxiety were assessed. Results: The VR-CBM-I resulted in greater feelings of presence and immersion in the training scenarios and outperformed the standard training in effects on state anxiety and emotional reactivity. Both training-varieties successfully increased the endorsement of positive interpretations and decreased negative ones. In addition, changes in the emotional outcomes were correlated with greater feelings of immersion. Conclusions: Our findings hold promise for the further investigation of VR as a tool to boost the effects of CMB-I trainings for highly anxious individuals.