Development Of mHealth Apps Research Articles

Patient and societal indicators for mHealth apps’ evaluation using Health Technology Assessment framework

Health Technology Assessment (HTA) is an evaluation and decision-support tool used by healthcare decision-makers, payers, and policymakers to inform decisions regarding the adoption, reimbursement, and utilization of health technologies. mHealth apps offer new ways of prognosis and treatment and their use is rapidly growing. Yet, they need to undergo an HTA process to justify their credibility, usability and acceptance. The aim of this study is to analyze specific domains of the HTA framework and tailor them to mHealth apps by considering patient and societal perspectives retrieved from app store information and analytics. An example of the mental mHealth apps is examined to showcase the factors affecting patients' engagement and a specific mental mHealth app performance is benchmarked against overall sector's (mental mHealth apps) and immediate competitors' performance and user preferences. This is achieved through in-depth analysis of the observed features and market characteristics of 172 mental mHealth apps and the associations observed among user preferences and app capabilities/features. The study aims to provide guidance to HTA agencies for rigorous evaluation of mHealth apps and app developers for complying with required standards and user preferences.

Decoding Millenial Preferences for M-Health App Features: Strategic Insights for Marketers

Utilizing user satisfaction as a mediating variable, this study attempts to investigate how the Unified Theory of Acceptance and Use of Technology (UTAUT) model affects millennial generation preferences for utilizing mobile health applications (m-health) and what it means for marketing tactics. Four primary UTAUT constructs—performance expectancy, effort expectancy, social influence, and facilitating conditions—are incorporated into this study methodology. For this study, 200 members of the millennial generation participated in a survey. Path analysis techniques were employed in the data analysis to examine the correlation between the variables in the study model. The analysis's conclusions demonstrate that, both directly and through the mediation of user satisfaction, the UTAUT variable significantly influences users' preferences for utilizing m-health applications. This research also highlights the significance of user happiness in influencing preferences. Marketers can utilize this information to inform the development of more successful marketing plans aimed at encouraging the millennial age to adopt mhealth apps. The results have practical significance for marketers creating more engaging and relevant marketing campaigns, as well as for m-health app developers and healthcare providers creating tactics that boost millennials' happiness and user uptake.

MHealth learning strategies to support behaviour change in individuals using wheelchairs and/or scooters: a systematic review.

The purpose of this systematic review of the literature is to build understanding of the key elements and recommendations for the design of mHealth technology for individuals using wheelchairs and/or scooters and identify key features associated with the use of mHealth to support healthy behaviour changes for this population. Eight major electronic databases were systematically searched to identify mobile health (mHealth) interventions, which targeted adult WC/S users. Independent reviewers used Endnote and Covidence to manage articles meeting review criteria and to exclude duplicates. A quality assessment was conducted on each included article. Nine articles describing studies with diverse study designs met criteria to be included in this review. Several interactive application intervention features, such as participant collaboration and goal setting, and key technical features to support mHealth app development and utilisation were identified. Results found intuitive and simple designs of mHealth apps, with the ability to customise to support learning styles and preferences, support usability and acceptability by participants. More research is needed to evaluate best practices to support initial training of end-users, mHealth apps' ability to support long-term behaviour change and maintenance, and the understanding of active ingredients in complex interventions that include mHealth apps. Both interactive mHealth application intervention and technical features support healthy behaviour change among individuals using wheelchairs and scooters.

Health service requirements of mHealth app users: evidence from Hangzhou, China

PurposeChina’s healthcare system is being burdened by the increasing prevalence of chronic diseases. Therefore, this study investigated the health service requirements of mobile health applications (mHealth apps) users in Hangzhou, China. This study aimed to propose suggestions and theoretical references to improve mHealth apps and promote their development, thereby meeting public medical and health needs and creating an efficient medical service system.Design/methodology/approachWe constructed a model of health service demands using a literature review, network survey, and semi-structured interviews. We analyzed the demand attributes using the Kano model and Better-Worse index and obtained the priority ranking of demands.FindingsThe results revealed 25 demand elements in four dimensions: must-be (M), one-dimensional (O), attractive (A), and indifferent (I) requirements. The findings suggest that mHealth app developers can optimize health services by categorizing and managing health services, focusing on middle-aged users, enhancing the professionalism of health service providers, and improving the feedback mechanism.Originality/valueStudies on mHealth apps user demands, particularly on health service needs, remain scarce. This study employed a mixed-methods approach, integrating both qualitative and quantitative research techniques, to establish a priority ranking of user health service needs for mHealth apps. The study offers recommendations and theoretical references to optimize and improve mHealth app services.HighlightsConstruct a better health service requirements model for mHealth app users.Obtain the prioritization of demand elements in the model.Propose some management suggestions to improve mHealth apps.

Supporting parents with acutely ill children: Environment scan and user evaluation of mobile applications (the SuPa kids project)

BackgroundChildren are one of the biggest users of emergency departments in the UK, sometimes utilising services when experiencing acute illnesses that can be managed at home. mHealth can be an efficacious way for parents/guardians to manage acute illnesses. It has also become a ubiquitous resource to promote public health interests within a resource constrained health system. However, to be effective, co-design is necessary with concepts such as usefulness, ease of use, trustworthiness and security underpinning the utility of mHealth interventions for acute childhood illness. ObjectiveThe objective of this study was to conduct an environmental scan of mHealth apps for parental assessment and management of acute childhood illnesses in 0- to 5-year-olds, review the content and functionality of each identified app against the list of desired attributes identified in previous research and synthesise publicly available reviews from end users to demonstrate the quality of current apps in the marketplace and identify areas for improvement. MethodApp characteristics were mapped to an a priori defined list of desirable attributes. End user reviews were mapped to a modified Technology Acceptance Model framework that included overarching themes of: Perceived Usefulness (PU), Perceived Ease of Use (PEU), Perceived Trustworthiness (PT) and Perceived Security (PS) using reflexive thematic analysis. ResultsOverall, 15 apps were included in the analysis (Table 2). Fourteen of the 15 apps were available on both the iOS and Android platforms. ‘Baby Illness, Prevention, Cure’ was only available on the Android store. All apps were free to download and did not restrict access to information or features via in-app purchases. Baby and child first aid (British Red Cross) was the earliest app to be released (2014). This app was updated annually, with the most recent update being 2022. The most recent apps to be released (2018) were ‘AskFirst’ (formerly Ask NHS), ‘Essex Child Health’ and ‘The Lullaby Trust Baby Check’, updated in 2022, 2020 and 2019, respectively. No individual app met all the desirable attributes highlighted by parents in previous research. Both ‘Healthier Together’, and ‘The Lullaby Trust Baby Check’ included all but one desirable attributes (video), as did the ‘’CATCH (Common Approach to Children’s Health), which did not utilise a traffic light system. Apps that were locality specific were not rated by users (Berkshire Child Health, Cheshire Child Health, Child Health Guide Newham, Child Health HMR, Oldham Child Illness and Walsall Healthy Child). All other apps were rated from 2/5 to 5/5 stars. When considering localities, the ‘CATCH’ app was only supported in Halton, Cheshire, Knowsley, Liverpool, St Helens and Vale Royal. Further investigation evidenced no correlation between inclusion of the desirable attributes and app rating. ConclusionOverall, this research has highlighted several aspects of best practise when developing mHealth apps for the management of acute childhood illnesses, for increasing PU, PEU, PT and PS; and also, places importance on co-design.

Perception of middle-aged and older adults towards mHealth apps: A comparative factor analysis between Australia and Germany

ObjectiveAlthough evidence of the global effectiveness and usability of mobile health (mHealth) apps as non-drug interventions is growing, older adults often demonstrate low adoption rates of these apps. This study aims to identify the perspectives of older adults on introducing and adopting mHealth apps in Australia and Germany. Materials and MethodsWe conducted two online cross-sectional surveys to examine factors from contextual, technological and personal perspectives that influence older adults in mHealth app adoption. Using descriptive statistics, chi-square tests and exploratory factor analysis, we identified the differences and similarities between respondents’ perspectives across two countries. ResultsA total of 290 respondents (149, Australia; 141, Germany) completed the survey. Older adults’ ability to use a mHealth app, the user-friendliness of the app, their positive self-efficacy regarding their health and resource availability for using mHealth apps were related to intended adoption. Differences between Germany and Australia were found in issues concerned with data sharing and empowerment by the doctor, while similarities were related to trust in the doctor and their treatment approaches. Discussion and ConclusionThis study highlights participants’ perspectives and attitudes towards mHealth app use, unmet needs and barriers, and the facilitating influences in the two countries. These insights can be used to inform the development and implementation of mHealth apps and to construct tailored strategies to increase the adoption rates of mHealth apps among older adults and to maximise their potential benefits.

A mobile application for postoperative education of caregivers of children with congenital hypospadias: Requirement analysis.

Hypospadias, a congenital anomaly, can have long-term effects on sexual, urinary, and reproductive functions, making proper postoperative care essential for desirable outcomes, which could be facilitated through a mobile application for diseases with long-term complications. The aim of this study was to investigate the data and functional requirements or minimum data set of a postoperative education mobile application for caregivers of children with hypospadias. A literature review of papers published until April 2023 using Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) statement was conducted to determine the data and functional requirements of a mobile application that provides postoperative education to caregivers of children with congenital hypospadias. Based on the results, a questionnaire was prepared, and its content validity and reliability were evaluated by CVI and CVR. Additionally, data was examined by 30 residents, specialists, and subspecialists in pediatric surgery using the Delphi approach. The study identified 28 data elements in three main categories: demographic data, clinical data, and application function. Functional requirements of the mobile application were suggested for use in designing the application. Also, the most critical data elements included the definition of disease, the importance of treatment, surgical preparation, bandage, hygiene, symptoms and infection, bleeding, and emergency condition. The study will pave the way for developing postoperative educational applications for caregivers of children with congenital hypospadias. M-Health app developers and clinician specialists can utilize these findings to design practical applications that assist caregivers in managing the care of hypospadias patients.

Mobile Health Applications (mHealth apps) for breastfeeding: a qualitative review using the Mobile Application Rating Scale.

mHealth apps are the most commonly used applications by women for seeking information and support for breastfeeding. The primary goal of this study is to provide a quality assessment of Italian-language mHealth apps for breastfeeding using the Italian version of the Mobile App Rating Scale (I-MARS). A systematic search was conducted on the Apple App Store, Google Play Store, and Windows Store. Inclusion criteria were: mHealth apps available in Italian, free of charge, and focused on the theme of breastfeeding. The quality assessment of the eligible mHealth apps was carried out on the latest available version using the I-MARS, by two authors independently. A total of 381 mHealth apps were identified, of which 38 mHealth apps were included and evaluated (n=9 on Google Play Store, n=29 on Apple App Store). The average total score of the objective dimension of I-MARS was found to be adequate, equal to 3,07±0,75, with a Cohen's Kappa score of 65,8%. The subjective dimension of the I-MARS, however, achieved a low average total score of 2,44±1,03, with a Cohen's Kappa score of 60,5%. In this regard, the subjective dimension of the I-MARS shows lower values compared to the subjective evaluation of the users (3,28±1,95). The informational quality dimension of mHealth apps was found to be lacking and/or inadequate in 80% of cases. 53% of the selected mHealth apps presented average quality scores that were adequate. The results of this study thus lay the groundwork for future recommendations for the development and proper use of mHealth apps for the protection, promotion, and support of breastfeeding.

An mHealth Application in German Health Care System: Importance of User Participation in the Development Process.

This paper addresses the challenges and solutions in developing a holistic prevention mobile health application (mHealth app) for Germany's healthcare sector. Despite Germany's lag in healthcare digitalization, the app aims to enhance primary prevention in physical activity, nutrition, and stress management. A significant focus is on user participation and usability to counter the prevalent issue of user attrition in mHealth applications, as described by Eysenbach's 'law of attrition'. The development process, conducted in a scientific and university context, faces constraints like limited budgets and external service providers. The study firstly presents the structure and functionality of the app for people with statutory health insurance in Germany and secondly the implementation of user participation through a usability study. User participation is executed via usability tests, particularly the think-aloud method, where users verbalize their thoughts while using the app. This approach has proven effective in identifying and resolving usability issues, although some user feedback could not be implemented due to cost-benefit considerations. The implementation of this study into the development process was able to show that user participation, facilitated by methods like think-aloud, is vital for developing mHealth apps. Especially in health prevention, where long-term engagement is a challenge. The findings highlight the importance of allocating time and resources for user participation in the development of mHealth applications.

Applying the Participatory Slow Design Approach to a mHealth Application for Family Caregivers in Pediatric Ear, Nose, and Throat Surgery.

Pediatric ear, nose, and throat (ENT) surgery is very common, and its outcomes may improve with family education. In this regard, mobile health (mHealth) applications (apps), which are on the rise due to digital transformation, can be beneficial in healthcare. This study outlines the user-centered design and development of a mHealth app (version 5.15.0) to support family caregivers during the perioperative process of pediatric ENT surgery. Conducted over two years in an Italian maternal and child health hospital (January 2020-May 2022), the study employed a participatory design method based on the Information System Research (ISR) framework and guided by the principles of Slow Medicine. Utilizing the Relevance, Rigor, and Design cycles of the ISR framework, the mHealth app's content, functionalities, and technical features were defined and developed. A committee of fifteen experts guided the process with input from 25 family caregivers and 24 healthcare providers enrolled in the study. The mHealth app content was structured around five crucial educational moments characterizing the ENT perioperative period, providing evidence-based information on surgical procedures, strategies for preparing children for hospitalization and surgery, pain management, and post-discharge care. The mHealth app featured a function that sends customized notifications to guide caregivers at specific perioperative stages. The development of mHealth apps by implementing a rigorous, participatory, and Slow design process can foster accessible and family-centered information and care in the field of maternal and child health and beyond.

MHealth app features that facilitate adolescent use for lifestyle management, and are endorsed by caregivers and health care providers.

Mobile health (mHealth) apps are becoming a promising tool to motivate sustainable lifestyle and behavior changes, including modifications to diet and exercise. However, most current mHealth apps do not have meaningful, and sustained user acceptance, particularly, among adolescents. They perceive mHealth apps designed for adults to be tedious and visually unexciting, which discourage adolescent usage. Researchers and adolescent mHealth app developers would benefit from a foundational understanding of which functions and features adolescents feel would most motivate app use. Capturing caregivers' and health care providers' inputs are also important as both groups play an integral role in adolescent health care decision-making. The purpose of the study is to explore and analyze mHealth app features identified by adolescents, caregivers, and health care providers that have the potential to inspire continued use, thereby resulting in sustained health behavior changes in adolescents. We used inductive thematic analysis of qualitative data obtained from semi-structured focus groups conducted via Zoom©. Important features of mHealth apps that encourage adoption and continued use were explored with 25 participants, including adolescents, their caregivers, and health care providers. Common features facilitating continual usage of mHealth apps that were identified as significant by participating adolescents, their caregivers and health care providers were: look and feel of the app, customization, educational information/recommendations, and integration with electronic health record. Features such as gamification and social interaction that are usually lacking in current adolescent mHealth apps were well recognized as meaningful for motivational purposes. The findings suggest that adolescents and caregivers identify an app as valuable when it is user-friendly and intuitive and appreciate features that are motivating and can engage users in positive behaviors. Health care providers prefer mHealth apps that are user-friendly and can be effectively integrated into the cycle of care, thereby enabling delivery of efficient and value-based health care. Thus, mHealth app designs that are informed by health care providers' clinical experience and needs, in combination with app features that are desired and supported by both adolescents and their caregivers, have the potential to motivate widespread adoption and long-term use, which could result in improved health behaviors and outcomes among adolescents.

Nurses' Roles in mHealth App Development: Scoping Review.

Although mobile health (mHealth) apps for both health consumers and health care providers are increasingly common, their implementation is frequently unsuccessful when there is a misalignment between the needs of the user and the app's functionality. Nurses are well positioned to help address this challenge. However, nurses' engagement in mHealth app development remains unclear. This scoping review aims to determine the extent of the evidence of the role of nurses in app development, delineate developmental phases in which nurses are involved, and to characterize the type of mHealth apps nurses are involved in developing. We conducted a scoping review following the 6-stage methodology. We searched 14 databases to identify publications on the role of nurses in mHealth app development and hand searched the reference lists of relevant publications. Two independent researchers performed all screening and data extraction, and a third reviewer resolved any discrepancies. Data were synthesized and grouped by the Software Development Life Cycle phase, and the app functionality was described using the IMS Institute for Healthcare Informatics functionality scoring system. The screening process resulted in 157 publications being included in our analysis. Nurses were involved in mHealth app development across all stages of the Software Development Life Cycle but most frequently participated in design and prototyping, requirements gathering, and testing. Nurses most often played the role of evaluators, followed by subject matter experts. Nurses infrequently participated in software development or planning, and participation as patient advocates, research experts, or nurse informaticists was rare. Although nurses were represented throughout the preimplementation development process, nurses' involvement was concentrated in specific phases and roles.

Development, usability, formative assessment, and story immersion of Nutrigame, a mHealth nutrition education app

The replacement of unprocessed and minimally processed foods with processed and ultra-processed ones can be a contributor to the increased prevalence of obesity amongst adults and adolescents. Mobile health (mHealth) innovations, such as mobile applications (apps), especially games, can be used to improve health behaviors and increase adolescent knowledge. The aim of this qualitative research was to describe the development, assessment, and story immersion of a mHealth nutrition education app developed to improve the food knowledge of adolescents. This study employed the stepwise approach model to the mHealth app development, according to the person-based approach and evidence-based behavior change techniques. The mHealth app was based on the concepts of the NOVA system food classification, present in the Brazilian dietary guidelines. The developed app, Nutrigame – your food guide, is a story-based serious game set in the food routine of an adolescent who needs to choose what to eat, when, where, and with whom the meals are taken. The first version of the app was tested by a group of adolescents (convenience sample, n=6, mean age: 15.8 ± 0.9 years) for 30 days. To assess usability, feasibility, engagement (user testing), and formative evaluation from the user's perspective, five individual interviews. After the last interview, the participants were required to complete a 13-item immersion scale, adapted from the narrative transportation scale to assess story immersion game. The final version of the game was adapted to meet the suggestions presented by the adolescents. All steps used for the app development are described. The gamification elements chosen led to the comprehension of the main learning contents. The mean story immersion score (30.3 ± 1.9) demonstrates the participant's involvement with the game's narrative. This study can provide useful insights to public health researchers and nutrition educators who are planning to develop a mHealth nutrition education app from a practical perspective.

Healthcare professionals' and patients' assessments of listed mobile health apps in China: a qualitative study.

In recent years, mobile health (mHealth) has gradually developed in China, and intelligent medicine has become an important research topic. However, there are still significant problems in mHealth applications (apps). Although healthcare professionals and patients are the main users, few studies have focused on their perceptions of the quality of mHealth apps. This study aimed to (1) understand the respective perceptions of healthcare professionals and patients regarding mHealth apps, (2) assess what barriers exist that influence the user experience, and (3) explore how to improve the quality of mHealth apps and the development of the mHealth market in China. The study aims to promote the standardization of mHealth apps and provide effective information for the improvement and development of mHealth apps in the future. Semistructured interviews with 9 patients and 14 healthcare professionals were conducted from January 2022 to April 2022 in the Affiliated Hospital of Xuzhou Medical University. The participants used mHealth apps for more than 3 months, including the "Good Mood" and "Peace and Safe Doctors" apps and apps developed by the hospital that were popular in China. Interview transcripts were analysed using thematic analysis. The following five themes were extracted: different concerns, hidden medical dangers, distance and insecurity, barriers for older people, and having positive perceptions of mHealth apps. Healthcare professionals prioritized simplicity in regard to mHealth apps, whereas patients rated effectiveness as the most crucial factor. The study also revealed several problems with mHealth apps, including insufficient information about physician qualifications, inaccurate medical content, nonstandard treatment processes, and unclear accountability, which led to a sense of distance and insecurity among participants. Older individuals faced additional obstacles when using mHealth apps. Despite these issues, the participants remained optimistic about the future of mHealth app development. The utilization, advantages, and obstacles of mHealth applications for healthcare professionals and patients were explored through semistructured interviews. Despite the promising prospects for mHealth apps in China, numerous issues still need to be addressed. Enhancing the safety monitoring system and developing user-friendly mHealth apps for older adult patients are essential steps to bridge the gap between healthcare providers and patients.

Mobile Technologies for Supporting Mental Health in Youths: Scoping Review of Effectiveness, Limitations, and Inclusivity.

Over the past decade, there has been growing support for the use of mobile health (mHealth) technologies to improve the availability of mental health interventions. While mHealth is a promising tool for improving access to interventions, research on the effectiveness and efficacy of mHealth apps for youths is limited, particularly for underrepresented populations, including youths of color and economically marginalized youths. This scoping review study sought to evaluate the following research questions: (1) What is the extent of the current literature on mHealth apps that provide intervention for mental health problems in children and adolescents? (2) What is known from the existing literature about the effectiveness or efficacy of delivering mental health services via mHealth apps? (3) What are the gaps in the knowledge base in the fields of technology and mental health? (4) Do the reviewed mHealth apps address issues of cultural sensitivity or have they been tested with underrepresented groups (ie, youths of color or economically marginalized groups)? An electronic database search was conducted using relevant search terms. Seven independent reviewers screened identified studies, including title and abstract review to determine if studies met the following inclusion criteria: (1) targeted samples with mental health symptomology or disorders, (2) studied youth participants aged 6-17 years, and (3) examined the use of a mobile app-based platform for intervention. Relevant studies were subjected to full-text review to extract and chart relevant data based on a priori research questions. The initial database search yielded 304 papers published from 2010 to 2021. After screening and selection, the final review included 10 papers on the effectiveness and efficacy of mental health intervention apps for youths aged 8 to 17 years. Identified apps targeted a broad range of mental health challenges in youths (ie, depression, self-harm, autism spectrum disorder, anxiety, and obsessive-compulsive disorder). Results identified only a small number of studies suggesting that current effectiveness and efficacy research in this area are limited. While some studies provided general support for the effectiveness of mHealth apps in improving mental health outcomes in youths, several notable limitations were present across the literature, reducing the generalizability of findings. Additionally, considerations around racial, ethnic, and socioeconomic diversity were scarce across studies. Although some studies cited in this scoping review provide support for the effectiveness and efficacy of mHealth apps targeting mental health concerns in youths, the overall body of literature remains quite limited. Moreover, mHealth apps expressly developed to be culturally responsive are almost nonexistent. Further efforts are needed to recruit youths who are typically underrepresented in research and invite stakeholder participation and collaborative input in the early stages of the mHealth app development process.

The Use of Noncommercial Parent-Focused mHealth Interventions for Behavioral Problems in Youth: Systematic Review.

The rates of substance use among adolescents are alarmingly high, and current treatment options lack integration of parent-focused interventions, despite evidence that effective parenting practices can mediate treatment outcomes for adolescents involved in substance use. Accessibility and other barriers to parental interventions may be mitigated through mobile health (mHealth); however, few mHealth platforms target substance use behaviors for adolescents through the implementation of behavioral parent training strategies. This study seeks to review current mHealth platforms within empirical literature that are designed to increase effective parenting through behavioral parent training techniques. Because of the paucity of mHealth modalities that use parenting strategies to target substance use in adolescents, the objective was expanded to include mHealth platforms addressing behavior problems among youth, given that parent-targeted treatments for these clinical presentations overlap with those for adolescent substance use. Overall, the systematic review was conducted to inform the development of mHealth apps for parents of youth involved in substance use, improve accessibility, and better align with parental needs. This systematic review was conducted using the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) method to select relevant articles across several databases. Each study was assessed for relevance and inclusion. Each study was reviewed for demographics, delivery medium, intervention status as stand-alone treatment or as an enhancement to treatment, mobile device used, mental health condition targeted, intervention type, underlying intervention theory, behavior change theory applied in design, behavior change techniques, parent training techniques, youth outcomes, parent outcomes, visual design, content, and features. Overall, 11 studies were included. Nearly all studies (9/11, 82%) predominantly sampled female caregivers. Most of the studies (6/11, 55%) integrated social learning theory. Only a few of the studies (2/11, 18%) discussed the embedded behavior change theories, whereas all the studies (11/11, 100%) used at least one behavior change technique to encourage change in parental behaviors. Many of the studies (7/11, 64%) tailored design features to the end user. Of the various behavioral parent training techniques, nearly all studies (10/11, 91%) included the skill of strengthening the parent-child relationship. A preliminary evaluation of treatment outcomes suggests a positive impact of parent-targeted mHealth interventions. When reported, the effect sizes for treatment ranged from Cohen d=0.38 to Cohen d=1.58 for youth and from Cohen d=0.13 to Cohen d=2.59 for parents. Although features and techniques were referenced, only a few of the studies provided specific information related to behavior change theory (2/11, 18%), visual design (2/11, 18%), and the translation of parent-targeted interventions to mHealth platforms. Such information would be useful for the development of mHealth apps. Preliminary outcomes for youth and parents are encouraging, but future studies should consider conducting a meta-analysis as the body of studies grows to determine aggregate statistical findings.

Patients' Perspectives on the Data Confidentiality, Privacy, and Security of mHealth Apps: Systematic Review.

Mobile health (mHealth) apps have the potential to enhance health care service delivery. However, concerns regarding patients' confidentiality, privacy, and security consistently affect the adoption of mHealth apps. Despite this, no review has comprehensively summarized the findings of studies on this subject matter. This systematic review aims to investigate patients' perspectives and awareness of the confidentiality, privacy, and security of the data collected through mHealth apps. Using the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines, a comprehensive literature search was conducted in 3 electronic databases: PubMed, Ovid, and ScienceDirect. All the retrieved articles were screened according to specific inclusion criteria to select relevant articles published between 2014 and 2022. A total of 33 articles exploring mHealth patients' perspectives and awareness of data privacy, security, and confidentiality issues and the associated factors were included in this systematic review. Thematic analyses of the retrieved data led to the synthesis of 4 themes: concerns about data privacy, confidentiality, and security; awareness; facilitators and enablers; and associated factors. Patients showed discordant and concordant perspectives regarding data privacy, security, and confidentiality, as well as suggesting approaches to improve the use of mHealth apps (facilitators), such as protection of personal data, ensuring that health status or medical conditions are not mentioned, brief training or education on data security, and assuring data confidentiality and privacy. Similarly, awareness of the subject matter differed across the studies, suggesting the need to improve patients' awareness of data security and privacy. Older patients, those with a history of experiencing data breaches, and those belonging to the higher-income class were more likely to raise concerns about the data security and privacy of mHealth apps. These concerns were not frequent among patients with higher satisfaction levels and those who perceived the data type to be less sensitive. Patients expressed diverse views on mHealth apps' privacy, security, and confidentiality, with some of the issues raised affecting technology use. These findings may assist mHealth app developers and other stakeholders in improving patients' awareness and adjusting current privacy and security features in mHealth apps to enhance their adoption and use. PROSPERO CRD42023456658; https://tinyurl.com/ytnjtmca.

Changes in Mobile Health Apps Usage Before and After the COVID-19 Outbreak in China: Semilongitudinal Survey.

Mobile health (mHealth) apps are rapidly emerging technologies in China due to strictly controlled medical needs during the COVID-19 pandemic while continuing essential services for chronic diseases. However, there have been no large-scale, systematic efforts to evaluate relevant apps. We aim to provide a landscape of mHealth apps in China by describing and comparing digital health concerns before and after the COVID-19 outbreak, including mHealth app data flow and user experience, and analyze the impact of COVID-19 on mHealth apps. We conducted a semilongitudinal survey of 1593 mHealth apps to study the app data flow and clarify usage changes and influencing factors. We selected mHealth apps in app markets, web pages from the Baidu search engine, the 2018 top 100 hospitals with internet hospitals, and online shopping sites with apps that connect to smart devices. For userexperience, we recruited residents from a community in southeastern China from October 2019 to November 2019 (before the outbreak) and from June 2020 to August 2020 (after the outbreak) comparing the attention of the population to apps. We also examined associations between app characteristics, functions, and outcomes at specific quantiles of distribution in download changes using quantile regression models. Rehabilitation medical support was the top-ranked functionality, with a median 1.44 million downloads per app prepandemic and a median 2.74 million downloads per app postpandemic. Among the top 10 functions postpandemic, 4 were related to maternal and child health: pregnancy preparation (ranked second; fold change 4.13), women's health (ranked fifth; fold change 5.16), pregnancy (ranked sixth; fold change 5.78), and parenting (ranked tenth; fold change 4.03). Quantile regression models showedthatrehabilitation (P75, P90), pregnancy preparation (P90), bodybuilding (P50, P90), and vaccination (P75) were positively associated with an increase in downloads after the outbreak. In the user experience survey, the attention given to health information (prepandemic: 249/375, 66.4%; postpandemic: 146/178, 82.0%; P=.006) steadily increased after the outbreak. mHealth apps are an effective health care approach gaining in popularity among the Chinese population following the COVID-19 outbreak. This research provides direction for subsequent mHealth app development and promotion in the postepidemic era, supporting medical model reformation in China as a reference, which may provide new avenues for designing and evaluating indirect public health interventions such as health education and health promotion.

MHealth App to Facilitate Remote Care for Patients With COVID-19: Rapid Development of the DrCovid+ App.

The 2019 novel COVID-19 has severely burdened the health care system through its rapid transmission. Mobile health (mHealth) is a viable solution to facilitate remote monitoring and continuity of care for patients with COVID-19 in a home environment. However, the conceptualization and development of mHealth apps are often time and labor-intensive and are laden with concerns relating to data security and privacy. Implementing mHealth apps is also a challenging feat as language-related barriers limit adoption, whereas its perceived lack of benefits affects sustained use. The rapid development of an mHealth app that is cost-effective, secure, and user-friendly will be a timely enabler. This project aimed to develop an mHealth app, DrCovid+, to facilitate remote monitoring and continuity of care for patients with COVID-19 by using the rapid development approach. It also aimed to address the challenges of mHealth app adoption and sustained use. The Rapid Application Development approach was adopted. Stakeholders including decision makers, physicians, nurses, health care administrators, and research engineers were engaged. The process began with requirements gathering to define and finalize the project scope, followed by an iterative process of developing a working prototype, conducting User Acceptance Tests, and improving the prototype before implementation. Co-designing principles were applied to ensure equal collaborative efforts and collective agreement among stakeholders. DrCovid+ was developed on Telegram Messenger and hosted on a cloud server. It features a secure patient enrollment and data interface, a multilingual communication channel, and both automatic and personalized push messaging. A back-end dashboard was also developed to collect patients' vital signs for remote monitoring and continuity of care. To date, 400 patients have been enrolled into the system, amounting to 2822 hospital bed-days saved. The rapid development and implementation of DrCovid+ allowed for timely clinical care management for patients with COVID-19. It facilitated early patient hospital discharge and continuity of care while addressing issues relating to data security and labor-, time-, and cost-effectiveness. The use case for DrCovid+ may be extended to other medical conditions to advance patient care and empowerment within the community, thereby meeting existing and rising population health challenges.

Satisfaction with and Continuous Usage Intention towards Mobile Health Services: Translating Users’ Feedback into Measurement

With advances in information and communication technology and the rapid development of the mobile Internet, mobile health (m-health) management applications (apps) play a key role in modern health assistance programs. However, m-health management apps still face major dilemmas in ensuring user satisfaction and continuous use. Based on resolving the contradiction between the multiple complex and ambiguous demands of users and the limited development resources of companies, this study explores ways to improve user satisfaction and the willingness to sustain m-health management app usage to build efficient and clear m-health management app demand insights and development strategies. This study integrates the advantages of the Kano model and the decision-making trial and evaluation laboratory (DEMATEL) method. From the systematic level, an attribute acquisition-classification-key attribute extraction and influence relationship quantification-hierarchy analytic hierarchy model was built. The research results provide implications for further improvement efforts to consider not only technological capabilities but also effective insights into the attributes that are highly expected by users, thus improving the accuracy of app function positioning and, in turn, enhancing user satisfaction and continuous usage intention. Additionally, the results provide decision-makers in enterprises and relevant research and development (R&D) departments with clear and efficient app requirement relationships and development strategies.