The use of online communities and websites for health information has proliferated along with the use of mobile apps for managing health behaviors such as diet and exercise. The scarce evidence available to date suggests that users of these websites and apps differ in significant ways from non-users but most data come from US- and UK-based populations. In this study, we recruited users of nutrition, weight management, and fitness-oriented websites in the Czech Republic to better understand who uses mobile apps and who does not, including user sociodemographic and psychological profiles. Respondents aged 13-39 provided information on app use through an online survey (n = 669; M age = 24.06, SD = 5.23; 84% female). Among users interested in health topics, respondents using apps for managing nutrition, weight, and fitness (n = 403, 60%) were more often female, reported more frequent smartphone use, and more expert phone skills. In logistic regression models, controlling for sociodemographics, web, and phone activity, mHealth app use was predicted by levels of excessive exercise (OR 1.346, 95% CI 1.061-1.707, p < .01). Among app users, we found differences in types of apps used by gender, age, and weight status. Controlling for sociodemographics and web and phone use, drive for thinness predicted the frequency of use of apps for healthy eating (β = 0.14, p < .05), keeping a diet (β = 0.27, p < .001), and losing weight (β = 0.33, p < .001), whereas excessive exercise predicted the use of apps for keeping a diet (β = 0.18, p < .01), losing weight (β = 0.12, p < .05), and managing sport/exercise (β = 0.28, p < .001). Sensation seeking was negatively associated with the frequency of use of apps for maintaining weight (β = - 0.13, p < .05). These data unveil the user characteristics of mHealth app users from nutrition, weight management, and fitness websites, helping inform subsequent design of mHealth apps and mobile intervention strategies.

• MeSH
• cvičení MeSH
• dospělí MeSH
• index tělesné hmotnosti MeSH
• internet * MeSH
• lidé MeSH
• logistické modely MeSH
• mladiství MeSH
• mladý dospělý MeSH
• mobilní aplikace * MeSH
• osobnost MeSH
• průřezové studie MeSH
• průzkumy a dotazníky MeSH
• telemedicína * metody   MeSH
• tělesná hmotnost MeSH
• věkové faktory MeSH
• zdravý životní styl * MeSH
• Check Tag
• dospělí MeSH
• lidé MeSH
• mladiství MeSH
• mladý dospělý MeSH
• mužské pohlaví MeSH
• ženské pohlaví MeSH
• Publikační typ
• časopisecké články MeSH

In the initial part of the contribution the reader is made familiar with the main aim of the project, the individual phases of the project and planned outputs of the project. In the second part of the contribution there is a description of the possibilities of e - learning in general and at the Faculty of Medicine in Hradec Kralove, where the program LMS Moodle has been used for e-learning for 8 years. With regards to the project timetable it ́s possible to present to the reader the results of the questionnaire and the elaborated electronic courses. In the part about methods and materials the readers get to know the Moodle Mobile App, there is a description of its possibilities of use when working with the courses and it takes into account the experience of the authors at our faculty. The conclusion of the contribution thus concludes the possibilities of use of the Moodle Mobile App and is different from the project that is in its first phase.

• MeSH
• audiovizuální pomůcky MeSH
• mobilní aplikace * MeSH
• studium lékařství * metody   MeSH
• učební pomůcky MeSH
• Publikační typ
• práce podpořená grantem MeSH

• MeSH
• mobilní aplikace * trendy   MeSH
• monitorování fyziologických funkcí MeSH
• telemedicína metody   MeSH

Nowadays, artificial intelligence (AI) affects our lives every single day and brings with it both benefits and risks for all spheres of human activities, including education. Out of these risks, the most striking seems to be ethical issues of the use of AI, such as misuse of private data or surveillance of people's lives. Therefore, the aim of this systematic review is to describe the key ethical issues related to the use of AI-driven mobile apps in education, as well as to list some of the implications based on the identified studies associated with this research topic. The methodology of this review study was based on the PRISMA guidelines for systematic reviews and meta-analyses. The results indicate four key ethical principles that should be followed, out of which the principle of algorithmovigilance should be considered in order to monitor, understand and prevent the adverse effects of algorithms in the use of AI in education. Furthermore, all stakeholders should be identified, as well as their joint engagement and collaboration to guarantee the ethical use of AI in education. Thus, the contribution of this study consists in emphasizing the need for joint cooperation and research of all stakeholders when using AI-driven mobile technologies in education with special attention to the ethical issues since the present research based on the review studies is scarce and neglected in this respect.

• MeSH
• algoritmy MeSH
• lidé MeSH
• mobilní aplikace * MeSH
• stupeň vzdělání MeSH
• umělá inteligence * MeSH
• Check Tag
• lidé MeSH
• Publikační typ
• časopisecké články MeSH
• přehledy MeSH
• systematický přehled MeSH

BACKGROUND: Pharmacotherapy remains one of the major interventional strategies in medicine. However, patients from all age groups and conditions face challenges when taking medications, such as integrating them into the daily routine, understanding their effects and side effects, and monitoring outcomes. In this context, a reliable medication management tool adaptable to the patient's needs becomes critical. As most people have a mobile phone, mobile apps offer a platform for such a personalized support tool available on the go. OBJECTIVE: This study aimed to provide an overview of available mobile apps, focusing on those that help patients understand and take their medications. We reviewed the existing apps and provided suggestions for future development based on the concept understand and manage, instead of the conventional adhere to medication. This concept aims to engage and empower patients to be in charge of their health, as well as see medication as part of a broader clinical approach, working simultaneously with other types of interventions or lifestyle changes, to achieve optimal outcomes. METHODS: We performed a Web search in the iOS Apple App Store and Android Google Play Store, using 4 search terms: medication management, pill reminder, medication health monitor, and medication helper. We extracted information from the app store descriptions for each eligible app and categorized into the following characteristics: features, author affiliation, specialty, user interface, cost, and user rating. In addition, we conducted Google searches to obtain more information about the author affiliation. RESULTS: A total of 328 apps (175 Android and 153 iOS) were categorized. The majority of the apps were developed by the software industry (73%, 11/15), a minority of them were codeveloped by health care professionals (15%, 3/20) or academia (2.1%; 7/328). The most prevalent specialty was diabetes (23 apps). Only 7 apps focused on mental health, but their content was highly comprehensive in terms of features and had the highest prevalence of the education component. The most prevalent features were reminder, symptom tracker, and ability to share data with a family member or doctor. In addition, we highlighted the features considered innovative and listed practical suggestions for future development and innovations. CONCLUSIONS: We identified detailed characteristics of the existing apps, with the aim of informing future app development. Ultimately, the goal was to provide users with effective mobile health solutions, which can be expected to improve their engagement in the treatment process and long-term well-being. This study also highlighted the need for improved standards for reporting on app stores. Furthermore, it underlined the need for a platform to offer health app users an ongoing evaluation of apps by health professionals in addition to other users and to provide them with tools to easily select an appropriate and trustworthy app.

• MeSH
• adherence k farmakoterapii psychologie   MeSH
• lidé středního věku MeSH
• lidé MeSH
• management nemoci MeSH
• mobilní aplikace statistika a číselné údaje   trendy   MeSH
• péče o sebe MeSH
• systémy medikace normy   statistika a číselné údaje   MeSH
• Check Tag
• lidé středního věku MeSH
• lidé MeSH
• mužské pohlaví MeSH
• ženské pohlaví MeSH
• Publikační typ
• časopisecké články MeSH
• práce podpořená grantem MeSH
• přehledy MeSH

BACKGROUND: Informal caregivers are vital in caring for their family and friends at home who may have illnesses or disabilities. In particular, the demands for caregiving can be even more challenging for those with limited resources, support systems, and language barriers, such as immigrant informal caregivers. They face complex challenges in providing care for their relatives. These challenges can be related to sociocultural diversity, language barriers, and health care system navigation. Acknowledging the global context of the increasing number of immigrants is essential in designing inclusive mobile health apps. OBJECTIVE: This study aims to investigate the needs of immigrant informal caregivers in Sweden and discuss the application of the Persuasive System Design Model (PSDM) to develop an e-coaching prototype. By addressing the unique challenges faced by immigrant informal caregivers, this study will contribute to the development of more effective and inclusive mobile health apps. METHODS: The participants were considered immigrants and included in the study if they and their parents were born outside of Sweden. Through various channels, such as the National Association of Relatives, rehabilitation departments at municipalities, and immigrant groups, we recruited 13 immigrant informal caregivers. These immigrant informal caregivers were primarily women aged 18 to 40 years. Most participants belonged to the Middle Eastern region whereas some were from North Africa. However, all of them spoke Arabic. We used semistructured interviews to gather data from the participants in Arabic, which were translated into English. Data were analyzed using thematic analysis and discussed in relation to the extended PSDM. The needs of the caregivers were compared with the description of persuasive design principles, and a design principle was chosen based on the match. The PSDM was extended if the need description did not match any principles. Several brainstorming and prototyping sessions were conducted to design the mobile e-coaching app. RESULTS: Immigrant informal caregivers have various needs in their caregiving role. They reported a need for training on the illness and future caregiving needs, assistance with understanding the Swedish language and culture, and help with accessing internet-based information and services. They also required recognition and appreciation for their efforts, additional informal support, and easy access to health care services, which can be important for their mental health. The PSDM was adapted to the informal caregiving context by adding "facilitating conditions" and "verbal encouragement" as additional persuasive design principles. This study also presents the subsequent mobile e-coaching app for immigrant informal caregivers in Sweden. CONCLUSIONS: This study revealed important immigrant informal caregivers' needs based on which design suggestions for a mobile e-coaching app were presented. We also proposed an adapted PSDM, for the informal caregiving context. The adapted PSDM can be further used to design digital interventions for caregiving.

• MeSH
• dospělí MeSH
• emigranti a imigranti * MeSH
• lidé MeSH
• mentoring * MeSH
• mladiství MeSH
• mladý dospělý MeSH
• mobilní aplikace * MeSH
• osoby pečující o pacienty MeSH
• přesvědčovací komunikace MeSH
• Check Tag
• dospělí MeSH
• lidé MeSH
• mladiství MeSH
• mladý dospělý MeSH
• mužské pohlaví MeSH
• ženské pohlaví MeSH
• Publikační typ
• časopisecké články MeSH

• MeSH
• aktigrafie metody   přístrojové vybavení   MeSH
• ambulantní monitorování metody   přístrojové vybavení   MeSH
• lidé MeSH
• mobilní aplikace MeSH
• monitorování fyziologických funkcí * metody   přístrojové vybavení   MeSH
• selfmonitoring glykemie přístrojové vybavení   MeSH
• Check Tag
• lidé MeSH
• Publikační typ
• práce podpořená grantem MeSH

Reallocations of time between daily activities such as sleep, sedentary behavior and physical activity are differentially associated with markers of physical, mental and social health. An individual's most desirable allocation of time may differ depending on which outcomes they value most, with these outcomes potentially competing with each other for reallocations. We aimed to develop an interactive app that translates how self-selected time reallocations are associated with multiple health measures. We used data from the Australian Child Health CheckPoint study (n = 1685, 48% female, 11-12 y), with time spent in daily activities derived from a validated 24-h recall instrument, %body fat from bioelectric impedance, psychosocial health from the Pediatric Quality of Life Inventory and academic performance (writing) from national standardized tests. We created a user-interface to the compositional isotemporal substitution model with interactive sliders that can be manipulated to self-select time reallocations between activities. The time-use composition was significantly associated with body fat percentage (F = 2.66, P < .001), psychosocial health (F = 4.02, P < .001), and academic performance (F = 2.76, P < .001). Dragging the sliders on the app shows how self-selected time reallocations are associated with the health measures. For example, reallocating 60 minutes from screen time to physical activity was associated with -0.8 [95% CI -1.0 to -0.5] %body fat, +1.9 [1.4 to 2.5] psychosocial score and +4.5 [1.8 to 7.2] academic performance. Our app allows the health associations of time reallocations to be compared against each other. Interactive interfaces provide flexibility in selecting which time reallocations to investigate, and may transform how research findings are disseminated.

• MeSH
• cvičení MeSH
• dítě MeSH
• kvalita života * MeSH
• lidé MeSH
• mobilní aplikace * MeSH
• sedavý životní styl MeSH
• Check Tag
• dítě MeSH
• lidé MeSH
• mužské pohlaví MeSH
• ženské pohlaví MeSH
• Publikační typ
• časopisecké články MeSH
• práce podpořená grantem MeSH
• Geografické názvy
• Austrálie MeSH

Background: In 2007, the European Parliament and Council amended the previous version of its directive on medical devices, allowing software to be by its own a medical device. Objectives: Aim of the present paper is to discuss the above mentioned issue when applied to mobile apps, and to tentatively apply medical devices classification rules to a sample of apps. Methods: Medical devices can be assigned to four different classes (I, IIa, IIb, III) depending on their invasivity, clinical risk, duration of the contact with the body, and active or passive devices. Guidelines have been released regarding classification of software. We identified a sample of apps in Android Store (categories: Medical and Health&Fitness) suitable for such classifi- cation, and attempted to apply the above mentioned rules. Results: Among the 80 selected apps, 32 resulted not being classifiable as medical devices (40%), 20 as class I (25%), 26 as class IIa (32.5%), and 2 as class IIb (2.5%). If we look at ratings and number of downloads as a measure of apps usefulness, it seems like class II apps are slightly more useful than class I apps. Conclusions: It seems that a fair amount of present apps could be subject to medical device classification, and these of higher category (and thus higher risk) are those possibly more interesting for users. This pushes for some attention towards them, not necessarily in terms of ruling, but at least of clear identification of functions and limitations.

• MeSH
• Evropská unie MeSH
• legislativa o zdravotnickém vybavení MeSH
• lidé MeSH
• mobilní aplikace * klasifikace   statistika a číselné údaje   využití   zákonodárství a právo   MeSH
• podpora zdraví MeSH
• směrnice jako téma MeSH
• software * klasifikace   normy   zákonodárství a právo   MeSH
• telemedicína * normy   zákonodárství a právo   MeSH
• tělesná výkonnost MeSH
• využití lékařské informatiky MeSH
• zdravotnické prostředky normy   MeSH
• Check Tag
• lidé MeSH
• Publikační typ
• hodnotící studie MeSH