Mobile Application Rating Scale Research Articles

Evaluating the World Health Organization's SkinNTDs App as a Training Tool for Skin Neglected Tropical Diseases in Ghana and Kenya: Cross-Sectional Study.

Neglected tropical diseases (NTDs) affect over 1.5 billion people worldwide, primarily impoverished populations in low- and middle-income countries. Skin NTDs, a significant subgroup, manifest primarily as skin lesions and require extensive diagnosis and treatment resources, including trained personnel and financial backing. The World Health Organization has introduced the SkinNTDs app, a mobile health tool designed to train and be used as a decision support tool for frontline health care workers. As most digital health guidelines prioritize the thorough evaluation of mobile health interventions, it is essential to conduct a rigorous and validated assessment of this app. This study aims to assess the usability and user experience of World Health Organization SkinNTDs app (version 3) as a capacity-building tool and decision-support tool for frontline health care workers. A cross-sectional study was conducted in Ghana and Kenya. Frontline health care workers dealing with skin NTDs were recruited through snowball sampling. They used the SkinNTDs app for at least 5 days before completing a web-based survey containing demographic variables and the user version of the Mobile Application Rating Scale (uMARS), a validated scale for assessing health apps. A smaller group of participants took part in semistructured interviews and one focus group. Quantitative data were analyzed using SPSS with a 95% CI and P≤.05 for statistical significance and qualitative data using ATLAS.ti to identify attributes, cluster themes, and code various dimensions that were explored. Overall, 60 participants participated in the quantitative phase and 17 in the qualitative phase. The SkinNTDs app scored highly on the uMARS questionnaire, with an app quality mean score of 4.02 (SD 0.47) of 5, a subjective quality score of 3.82 (SD 0.61) of 5, and a perceived impact of 4.47 (SD 0.56) of 5. There was no significant association between the app quality mean score and any of the categorical variables examined, according to Pearson correlation analysis; app quality mean score vs age (P=.37), sex (P=.70), type of health worker (P=.35), country (P=.94), work context (P=.17), frequency of dealing with skin NTDs (P=.09), and dermatology experience (P=.63). Qualitative results echoed the quantitative outcomes, highlighting the ease of use, the offline functionality, and the potential utility for frontline health care workers in remote and resource-constrained settings. Areas for improvement were identified, such as enhancing the signs and symptoms section. The SkinNTDs app demonstrates notable usability and user-friendliness. The results indicate that the app could play a crucial role in improving capacity building of frontline health care workers dealing with skin NTDs. It could be improved in the future by including new features such as epidemiological context and direct contact with experts. The possibility of using the app as a diagnostic tool should be considered. RR2-10.2196/39393.

Attributes, Quality, and Downloads of Dementia-Related Mobile Apps for Patients With Dementia and Their Caregivers: App Review and Evaluation Study.

The adoption of mobile health (mHealth) apps among older adults (>65 years) is rapidly increasing. However, use of such apps has not been fully effective in supporting people with dementia and their caregivers in their daily lives. This is mainly attributed to the heterogeneous quality of mHealth apps, highlighting the need for improved app quality in the development of dementia-related mHealth apps. The aims of this study were (1) to assess the quality and content of mobile apps for dementia management and (2) to investigate the relationship between app quality and download numbers. We reviewed dementia-related mHealth apps available in the Google Play Store and Apple App Store in Taiwan. The identified mobile apps were stratified according to a random sampling approach and evaluated by five independent reviewers with sufficient training and proficiency in the field of mHealth and the related health care sector. App quality was scored according to the user version of the Mobile Application Rating Scale. A correlation analysis was then performed between the app quality score and number of app downloads. Among the 17 apps that were evaluated, only one was specifically designed to provide dementia-related education. The mean score for the overall app quality was 3.35 (SD 0.56), with the engagement (mean 3.04, SD 0.82) and information (mean 3.14, SD 0.88) sections of the scale receiving the lowest ratings. Our analyses showed clear differences between the top three- and bottom three-rated apps, particularly in the entertainment and interest subsections of the engagement category where the ratings ranged from 1.4 to 5. The top three apps had a common feature in their interface, which included memory, attention, focus, calculation, and speed-training games, whereas the apps that received lower ratings were found to be deficient in providing adequate information. Although there was a correlation between the number of downloads (5000 or more) and app quality (t15=4.087, P<.001), this may not be a significant determinant of the app's perceived impact. The quality of dementia-related mHealth apps is highly variable. In particular, our results show that the top three quality apps performed well in terms of engagement and information, and they all received more than 5000 downloads. The findings of this study are limited due to the small sample size and possibility of disregarding exceptional occurrences. Publicly available expert ratings of mobile apps could help people with dementia and their caregivers choose a quality mHealth app.

A systematic search, heuristic evaluation and analysis of dental trauma mobile applications.

Despite the exponential growth of mobile device applications in promoting awareness on traumatic dental injuries (TDIs), the overall validity of existing applications in content, engagement, usability, functionality, esthetics, and user perception remains largely uncertain. The primary aim was to systematically search and assess the quality, functionality, perceived impact and usability of available applications related to TDIs using the User Version of the Mobile Application Rating Scale (uMARS) and the Coventry, Aberdeen, and London-Revised (CA-LO-RE) scale. A heuristic evaluation was additionally performed. The secondary aim was to categorize existing mobile applications according to their target users, including general population, dentists, dental students, medical healthcare professionals, and researchers. A systematic search for dental trauma applications (free and paid) was conducted using the AppStore and Google Play store. Two reviewers independently performed data extraction and quality assessment for all the included applications using uMARS and CA-LO-RE. A user experience architect conducted a heuristic evaluation. Only 6 of the 3061 initially screened applications were eligible for qualitative and quantitative assessments. These applications' average star uMARS rating was 12.5 (standard deviation [SD] 2.6). The mean and SD for the uMARS objective items were as follows: A-engagement (mean 12.1 [SD 3.3]), B-functionality (mean 15.5 [SD 1.4]), C-esthetics (mean 9.5 [SD 2.5]), and D-information (mean 13 [SD 4.5]). The severity rating for the heuristic evaluation criteria was low to moderate for all the included applications, excluding tooth emergencies with a high severity score. Despite moderate quality, functionality, user perception, behavioural impact and usability scores, the inclusion of advanced features to "engagement" and "usability" in existing trauma based apps will enhance their purpose. A design-thinking approach coupled with interactive features is recommended for future mobile applications on TDIs.

Empowering Potential of the My Assistive Technology Guide: Exploring Experiences and User Perspectives

The use of assistive technology (AT) devices enhances older adults’ function in daily activities. However, the lack of awareness of AT among potential AT users has been identified as a major barrier to its adoption. This study aimed to assess the quality of the Mi Guía de Asistencia Tecnológica (MGAT) web app, which provides information on AT, from the perspective of older Latinos with physical disabilities, and to explore their experience using the MGAT. We employed a convergent parallel mixed-method design involving 12 older Latinos living in Puerto Rico. In Phase I, the researchers trained the participants in the use of the MGAT. In Phase II, participants were encouraged to use it for 30 days. In Phase III, the participants completed the User Mobile Application Rating Scale (uMARS) and individual interviews, analyzed with descriptive statistics and a directed thematic content analysis. The quality of the MGAT was rated high in both the objective (uMARS mean = 3.99; SD = 0.68) and subjective (uMARS mean = 4.13; SD = 1.10) domains. Qualitative data revealed the MGAT was accessible, usable, desirable, credible, useful, and valuable to increasing older Latinos’ AT knowledge, function, and autonomy. The MGAT has the potential to increase AT awareness and adoption among older adults.

The Olera.care Digital Caregiving Assistance Platform for Dementia Caregivers: Preliminary Evaluation Study.

The increasing prevalence of Alzheimer disease and Alzheimer disease-related dementia in the United States has amplified the health care burden and caregiving challenges, especially for caregivers of people living with dementia. A web-based care planning tool, Olera.care, was developed to aid caregivers in managing common challenges associated with dementia care. This study aims to preliminarily evaluate the quality and usability of the Olera.care platform and assess the preferences of using the technology and interests in learning about different older adult care services among caregivers. For interview 1, we aim to understand caregiving needs and let the participants start engaging with the platform. After they engage with the platform, we schedule the second interview and let the participants complete the Mobile Application Rating Scale. The survey also included sociodemographic characteristics, caregiving experiences, communication preferences in technology adoption, and older adult care service use and interests. Descriptive statistics were used to describe the quality and usability of the platform and characteristics of the participants. We conducted 2-sample 2-tailed t tests to examine the differences in the Mobile Application Rating Scale evaluation scores by caregiver characteristics. Overall, 30 adult caregivers in Texas completed the evaluation. The majority were aged ≥50 years (25/30, 83%), women (23/30, 77%), White (25/30, 83%), and financially stable (20/30, 67%). The Olera.care platform evaluation showed high satisfaction, with an overall mean rating of 4.57 (SD 0.57) of 5, and scored well in engagement (mean 4.10, SD 0.61), functionality (mean 4.46, SD 0.44), aesthetics (mean 4.58, SD 0.53), and information quality (mean 4.76, SD 0.44) consistently across all participants. A statistically significant difference (P=.02) was observed in functionality evaluation scores by duration of caregiving, with caregivers dedicating more hours to care rating it higher than those providing less care (mean 4.6, SD 0.4 vs mean 4.2, SD 0.5). In addition, caregivers with less caregiving experience reported significantly higher evaluation scores for aesthetics (P=.04) and information quality (P=.03) compared to those with longer years of caregiving. All participants expressed a willingness to recommend the app to others, and 90% (27/30) rated the app overall positively. Most of the participants (21/30, 70%) favored anonymous interactions before receiving personalized feedback and preferred computer browsers over mobile apps. Medical home health services were the most used, with a diverse range of services being used. Caregiver support groups, medical providers, memory care, meal services, and adult day care were among the most desired services for future exploration. The Olera.care web-based platform is a practical, engaging, easy-to-use, visually appealing, and informative tool for dementia caregivers. Future development and research are essential to enhance the platform and comprehensively evaluate it among a broader population.

193 Beyond Independence: The Empowering Potential of an Assistive Technology Web App to Enrich the Lives of Older Latinos with Functional Disabilities

OBJECTIVES/GOALS: The use of assistive technology (AT) devices is known to improve older adults’ independence in daily activities. However, little is known about the impact of using an AT web app in older Latinos’ life. This study aims to evaluate the value and usefulness of the My Assistive Technology Guide web app among older Latinos with physical function disabilities. METHODS/STUDY POPULATION: We employed a convergent parallel mixed-method design with 12 community-living older Latinos from Puerto Rico. Researchers provided training in the use of My Assistive Technology Guide, a Spanish evidence-based web app with detailed information on 97 AT devices and videos of older people using them. Participants were encouraged to use it for 30 days. Afterward, we collected quantitative data using the subjective quality domain of the User Mobile Application Rating Scale (uMARS), followed by qualitative data through individual interviews. Quantitative data were analyzed with descriptive statistics and qualitative data with thematic content analysis. RESULTS/ANTICIPATED RESULTS: My Assistive Technology Guide web app received high ratings in the uMARS subjective quality domain (mean 4.5 [SD 0.5] out of 5), indicating that participants highly valued the usefulness of the web app. Qualitative data fell into four main categories: functional health, meaningful participation, autonomy, and personal growth. DISCUSSION/SIGNIFICANCE: The findings suggest that the AT knowledge provided by the My Assistive Technology Guide web app has the potential to enhance the quality of life of older Latinos in the face of the challenges posed by physical function disabilities as people age.

Preliminary Efficacy of a Cognitive Behavioral Therapy-Based Smartphone App for Smoking Cessation in China: Randomized Controlled Pilot Trial.

The overall prevalence of cigarette smokers in China is very high, and China's total cigarette consumption makes up more than 40% of the world's consumption. In view of the lack of smoking cessation services and social support in China and the effectiveness of mobile phone apps for quitting smoking in other countries, we carried out a smartphone app-based smoking cessation trial in China. This study aimed to evaluate the efficacy of a cognitive behavioral therapy (CBT)-based smoking cessation smartphone app among smokers seeking treatment in China. We conducted a randomized controlled, web-based pilot clinical trial in China between February 23 and June 27, 2021. Eligible participants were randomly assigned to the smoking cessation app intervention group or the control group in a ratio of 1:1. The intervention group received the CBT smoking cessation intervention using a smartphone app, and the control group received a "thank you" message. The intervention was 4 weeks long, and the patients were followed up for 4 weeks. The primary outcome was self-reported continuous smoking abstinence at week 4 after the quit date. The secondary outcomes included self-reported 7-day point prevalence of smoking abstinence; reduction of the number of cigarettes smoked per day at weeks 1, 2, 3, and 4; and program acceptability. A total of 973 people were recruited to quit smoking, of whom 262 completed basic information, 56 were excluded, and 206 were randomized and included in the final analysis. There were 189 (91.7%) men and 17 (8.3%) women, with an average age of 34.46 (SD 7.53) years and an average daily smoking rate of 15.93 (SD 7.10) cigarettes/day. We found 30 (29.7%) of the 101 participants in the intervention group and 7 (6.7%) of the 105 participants in the control group reported continuous smoking cessation after the quit date at week 4 (odds ratio 5.92, 95% CI 3.78-9.26; P<.001). The 7-day point prevalence abstinence rate of the intervention group varied from 42.6% (43/101) to 46.5% (47/101) after 1, 2, 3, and 4 weeks, while the control group varied from 18.1% (19/105) to 26.7% (28/105). Compared to the control group, continued smokers consumed 1.5-3.0 fewer cigarettes per day in the intervention group. The overall program got positive user feedback with a high satisfaction rate (66/87, 76%) and an average Mobile Application Rating Scale user version score of 3.46. Our pilot study provided preliminary evidence that the CBT-based smoking cessation smartphone app led to improved smoking quit rates versus control in Chinese smokers. The study demonstrated the CBT-based smartphone app may be an effective and feasible digital treatment model to help smokers quit, which may improve smoking cessation service quality and accessibility in China. ClinicalTrials.gov NCT04421170; https://clinicaltrials.gov/study/NCT04421170. RR2-10.1136/bmjopen-2020-041985.

Development and usability testing of a cognitive-behavioral therapy-guided self-help mobile app and social media group for the post-acute treatment of anorexia nervosa

ObjectiveAnorexia nervosa (AN) is often treated in the acute setting, but relapse after treatment is common. Cognitive-behavioral therapy (CBT) is useful in the post-acute period, but access to trained providers is limited. Social support is also critical during this period. This study utilized a user-centered design approach to develop and evaluate the usability of a CBT-based mobile app and social networking component for post-acute AN support. MethodParticipants (N = 19) were recently discharged from acute treatment for AN. Usability testing of the intervention was conducted over three cycles; assessments included the System Usability Scale (SUS), the Usefulness, Satisfaction, and Ease of Use Questionnaire (USE), the Mobile Application Rating Scale (MARS), a social media questionnaire, and a semi-structured interview. ResultsInterview feedback detailed aspects of the app that participants enjoyed and those needing improvement. Feedback converged on three themes: Logistical App Feedback, boosting recovery, and Real-World App/Social Media Use. USE and MARS scores were above average and SUS scores were “good” to “excellent” across cycles. ConclusionThis study provides evidence of feasibility and acceptability of an app and social networking feature for post-acute care of AN. The intervention has potential for offering scalable support for individuals with AN in the high-risk period following discharge from acute care.

Pilot Study of a Digital Behavioral Therapy for Overactive Bladder in Women.

The burden and high prevalence of overactive bladder (OAB) underline the urgent need for effective treatment. This study provides an initial look at an alternative approach to behavioral therapy for overactive bladder (OAB) that is delivered as an app on a smartphone. This study aimed to investigate feasibility, acceptability, and preliminary efficacy of a digital therapeutic for OAB. This was a multicentered prospective pilot study. We used a convenience sample (N = 30) from waiting lists of women referred for incontinence, excluding urinary tract infections, urinary retention, bladder pain syndrome, pelvic cancer, current pregnancy, kidney disease, dementia, stroke, and prior neuromodulation. The intervention, a smartphone app, provided an 8-week program with weekly modules combining evidence-based knowledge videos and skill-building exercises that incorporated behavioral therapy, cognitive behavioral therapy, pelvic muscle training, and general health information. Combined scores on the International Consultation on Incontinence Questionnaire was the primary outcome measure. Secondary outcomes included improvement in quality of life, based on International Consultation on Incontinence Questionnaire, a 72-hour urinary diary, and Patient Global Impression of Improvement. We evaluated usability with the Mobile Application Rating Scale. Statistical tests included Shapiro-Wilk tests and paired-sample t tests. Overall, 100% of participants reported a reduction in their OAB symptoms and 82% reported an improvement in quality of life. There was a significant improvement in diary parameters, including frequency (10.19-6.71 a day: SD, 1.25; P = 0.017) and incontinence (10-3.57: SD, 4.58). Participants rated the app highly on functionality, and 70% would recommend it. Patient Global Impression of Improvement improved for 72% of participants. This study supports the application of a digital platform to over-come the real-world barriers for first-line treatment for OAB and offers information to inform further evaluation of the safety and efficacy of the NUIG OAB App.

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.

A Health Mobile Application for Self-Care of Colostomy Patients

Abstract Introduction and Objective In most cases, due to the failure of nonsurgical methods in the treatment of diseases related to the colon, it is necessary to perform colostomy as the main treatment method. However, this surgery can cause a wide range of physical, social, and psychological problems in patients. Therefore, in order to prevent and treat the complications of colostomy, it is necessary to adopt measures in the field of self-care and continuous education for patients to control the complications of the disease, seek treatment, and experience improvements in their quality of life . Additionally, considering the role of mobile health (mHealth) applications in facilitating continuous and effective training, and improving self-care for these patients, the aim of the present study was to design and evaluate an mHealth application for self-care of colostomy patients. Materials and Methods In the present applied research, first the functional requirements of the software were determined considering the self-care requirements of colostomy patients. Then, the software was designed based on object-oriented analysis, and according to it, the application was coded in Java and developed in the Android Studio environment. Finally, to evaluate the software, the opinions and comments of 5 gastroenterologists and 10 adult colostomy patients in the age range between 27 and 64 years who had at least a high school diploma were used as the basis of judgment at this stage. The instruments used in the evaluation included a checklist, derived from three standard questionnaires (the System Usability Scale [SUS], the mHealth App Usability Questionnaire [MAUQ], and the User Version of the Mobile Application Rating Scale [uMARS]) to measure the user-friendliness indicator, and a researcher-made checklist to measure the performance indicator of the various services provided. Results The services of the software developed include the provision of medical information and self-care instructions regarding colostomy surgery, as well as alerts for the user to schedule an appointment with a doctor and the time to take medications. Based on the results of the evaluation stage, the users were generally satisfied with the interface, services, and general features of the software. In general, the software was evaluated at the “acceptable” level, with a rate of 85%. Discussion and Conclusion Based on the findings of the current research, the software developed can be significantly effective in facilitating the education of colostomy patients and improving their self-care. Proper and continuous self-care and education for colostomy patients is necessary to prevent and control complications resulting from surgery and to improve their quality of life. Therefore, in addition to patients, all health care staff, organizations, and associations which support colostomy patients can also use this software to educate patients and improve the care provided to them.

Testing a Behavioral Activation Gaming App for Depression During Pregnancy: Multimethod Pilot Study.

Depression during pregnancy is increasingly recognized as a worldwide public health problem. If untreated, there can be detrimental outcomes for the mother and child. Anxiety is also often comorbid with depression. Although effective treatments exist, most women do not receive treatment. Technology is a mechanism to increase access to and engagement in mental health services. The Guardians is a mobile app, grounded in behavioral activation principles, which seeks to leverage mobile game mechanics and in-game rewards to encourage user engagement. This study seeks to assess app satisfaction and engagement and to explore changes in clinical symptoms of depression and anxiety among a sample of pregnant women with elevated depressive symptoms. This multimethod pilot test consisted of a single-arm, proof-of-concept trial to examine the feasibility and acceptability of The Guardians among a pregnant sample with depression (N=18). Participation included two web-based study visits: (1) a baseline assessment to collect demographic and obstetric information and to assess clinical symptoms and (2) an exit interview to administer follow-up measures and explore user experience. Participants completed biweekly questionnaires (ie, Patient Health Questionnaire-9 and Generalized Anxiety Disorder-7) during the trial to assess depression and anxiety symptom severity. App satisfaction was measured using 2 self-report scales (ie, Mobile Application Rating Scale and Player Experience of Needs Satisfaction scale). Engagement with The Guardians was captured using game interaction metric data. We used backward-eliminated mixed effects longitudinal models to examine the effects of app engagement and satisfaction and length of time in the study on symptoms of depression and anxiety. Content analysis was conducted on qualitative data from exit interviews. The 15-day and 30-day overall app retention rates were 26.6% and 15.1%, respectively. Mixed effects models found significant negative main effects of week in study (β=-.35; t61=-3.05; P=.003), number of activities completed (β=-.12; t61=-2.05; P=.04), days played (β=-.12; t58=-2.9; P=.005), and satisfaction, according to the Mobile Application Rating Scale (β=-3.05; t45=-2.19; P=.03) on depressive symptoms. We have reported about similar analyses for anxiety. There is preliminary evidence suggesting harder activities are associated with greater mood improvement than easier activities. Qualitative content analysis resulted in feedback falling under the following themes: activities, app design, engagement, fit of the app with lifestyle, perceived impact of the app on mood, and suggestions for app modifications. Preliminary results from this multimethod study of The Guardians indicate feasibility and acceptability among pregnant women with depression. Retention and engagement levels were more than double those of previous public mental health apps, and use of the app was associated with significant decrease in depressive symptom scores over the 10-week trial. The Guardians shows promise as an effective and scalable digital intervention to support women experiencing depression.

Translation and cross-cultural adaptation into Portuguese-Brazil of NuHISS, Enlight, and uMARS

BackgroundEasy access to the Internet enables the creation of many online applications. In this sense, questionnaires were developed to evaluate the usability of health area online applications: the National Usability-Focused Health Information System Scale (NuHISS), the Enlight, and the User Version of the Mobile Application Rating Scale (uMARS). Those scales do not have a Portuguese (Brazil) version which is adequate to Brazil's culture. As a consequence, they can not be properly used in Brazil. ObjectiveTo translate and cross-cultural adapt the NuHISS, Enlight, and uMARS to Portuguese (Brazil). MethodsA methodological study involving the translation and cross-cultural adaptation of the questionnaires NuHISS, Enlight, and uMARS was conducted following international guidelines recommendations. The questionnaires pass trough an initial translation, translation synthesis, back translation, expert committee, and a pre-final version test. ResultsThirdy-two health professionals analyzed NuHiss, Enlight, and uMARS translated and cross-cultural adapted Portuguese (Brazil) version. There was conceptual equivalence between the translated and original versions, and no significant adaptations were needed during the translation process. 93.8% of professionals assume that the language is cohesive and 96.9% of them consider that the content is cohesive. ConclusionThe NuHISS, Enlight, and uMARS were successfully translated and cross-culturally adapted to Portuguese (Brazil) and can be properly applied in Brazil. Brazilian health professionals should use the questionnaires NuHISS, Enlight, and uMARS to evaluate health area applications usability.

Evaluasi Konten Aplikasi Satusehat Menggunakan Mobile Appalication Rating Scale (Mars) dari Prespektif Generasi Z

The Covid-19 pandemic is driving the emergence of many new applications in the healthcare field as innovative solutions for safe and effective healthcare services. The increase in smartphone penetration and internet access in Indonesia, especially among Generation Z (born 1995-2010) who are active internet users for more than seven hours per day, supports this trend. This study evaluated the SatuSehat app using the Mobile Application Rating Scale (MARS) measurement tool. The aim was to provide an overview of government healthcare applications. The results review the features of the SatuSehat app and analyze its quality with MARS. This evaluation helps developers design useful and easy-to-use applications to meet the needs of the community in the future. SatuSehat application scored high in Application Quality variables such as Engagement, Functionality, Aesthetics, and Information, with a score of (4.1/5). The success of this application shows that the transformation from PeduliLindungi to SatuSehat has significantly improved its quality. The MARS evaluation shows that generation Z can rely on this app to manage their health. These results form the basis for further development so that SatuSehat continues to innovate and benefit the health of generation Z as the main users in the future.

A content-based review of mobile health applications for breast cancer prevention and education: Characteristics, quality and functionality analysis.

Mobile Health apps could be a feasible and effective tool to raise awareness for breast cancer prevention and to support women to change their behaviour to a healthier lifestyle. The aim of this study was to analyse the characteristics and quality of apps designed for breast cancer prevention and education. We conducted a systematic search for apps covering breast cancer prevention topics in the Google Play and Apple App Store accessible from Germany using search terms either in German or in English. Only apps with a last update after June 2020 were included. The apps identified were downloaded and evaluated by two independent researchers. App quality was analysed using the Mobile Application Rating Scale (MARS). Associations of app characteristics and MARS rating were analysed. We identified 19 apps available in the Google Play Store and seven apps available in the Apple App Store that met all inclusion criteria. The mean MARS score was 3.07 and 3.50, respectively. Functionality was the highest-scoring domain. Operating system, developer (healthcare), download rates and time since the last update were significantly associated with overall MARS score. In addition, the presence of the following app functions significantly influenced MARS rating: breast self-examination tutorial, reminder for self-examination, documentation feature and education about breast cancer risk factors. Although most of the apps offer important features for breast cancer prevention, none of the analysed apps combined all functions. The absence of healthcare professionals' expertise in developing apps negatively affects the overall quality.

Three cycles of mobile app design to improve HIV self-management: A development and evaluation study.

Employing three cycles of Design Science Research (DSR) to develop a mobile app 'ESSC (Excellent Self Supervised HIV Care)' to improve self-management among people living with HIV (PLWH). This study is based on the DSR framework comprising three iterative cycles. In the Relevance cycle, PLWH participated in a survey of mobile health (mHealth) experiences and needs. In the Rigor cycle, the information-motivation-behavioural skills (IMB) model was applied to foundations of the app, and HIV specialists verified the contents. Experts evaluated the heuristic system and the app quality with the Mobile Application Rating Scale (MARS). In the Design cycle, ESSC was built on the findings of the other two cycles, and end-users tested the usability using uMARS. The contents of the app were developed based on user requirements. The IMB model led ESSC to supplement motivational components for self-management, which built five functions: information contents; health life records including mental and sexual health; interactive counselling with healthcare providers; setting health goals after watching videos; and my page for self-reflection. To reduce social stigma and promote acceptance of the information-driven app, we created animated characters with neutral and bright features. The HIV specialists evaluated content validity as highly appropriate. The MARS score by the overall raters was between 3-acceptable and 4-good: functionality, 4.38; information, 4.12; aesthetics, 3.96; engagement, 3.37; and subjective quality, 3.25. The DSR approach is effective for implementing usable and useful mHealth. The ESSC app would be feasible and contribute PLWH to retention in care.

Automatic Assessment of Upper Extremity Function and Mobile Application for Self-Administered Stroke Rehabilitation.

Rehabilitation training is essential for a successful recovery of upper extremity function after stroke. Training programs are typically conducted in hospitals or rehabilitation centers, supervised by specialized medical professionals. However, frequent visits to hospitals can be burdensome for stroke patients with limited mobility. We consider a self-administered rehabilitation system based on a mobile application in which patients can periodically upload videos of themselves performing reach-to-grasp tasks to receive recommendations for self-managed exercises or progress reports. Sensing equipment aside from cameras is typically unavailable in the home environment. A key contribution of our work is to propose a deep learning-based assessment model trained only with video data. As all patients carry out identical tasks, a fine-grained assessment of task execution is required. Our model addresses this difficulty by learning RGB and optical flow data in a complementary manner. The correlation between the RGB and optical flow data is captured by a novel module for modality fusion using cross-attention with Transformers. Experiments showed that our model achieved higher accuracy in movement assessment than existing methods for action recognition. Based on the assessment model, we developed a patient-centered, solution-based mobile application for upper extremity exercises for hemiplegia, which can recommend 57 exercises with three levels of difficulty. A prototype of our application was evaluated by potential end-users and achieved a good quality score on the Mobile Application Rating Scale (MARS).

Feasibility of an Integrated Digital and Pharmacological Approach Targeting Blood Lipids in Atherosclerotic Cardiovascular Disease Management

Objectives: Strong evidence supports the importance of lipid-lowering and exercise therapies in the long-term therapy of atherosclerotic cardiovascular disease (ASCVD). Establishing efficient comprehensive intervention programs that combine pharmacological and exercise prescription is crucial to investigate with the aid of digital technologies. Methods: A convenience sample of 25 ASCVD patients (57.8 ± 9.5 years, 76% males) was gathered. All participants were prescribed with 12-week home exercise program supervised by an app and bimonthly 75mg alirocumab subcutaneous injections. Follow up visits were scheduled at the end of 4th and 12th week. Results: Nineteen participants completed the program with a retention rate of 76%. Sixteen (84.2%) participants received all six doses of alirocumab. The total management time of the 12-week program added up to 65.47 minutes per patient. Satisfaction score was 4.2 ± 0.6 and the User Version of the Mobile Application Rating Scale (uMARS) overall objective quality score on the app was 3.4 ± 0.7. At the 4-week and 12-week follow-ups, LDL-C levels reduced compared to baseline (−1.5 ± 0.8 mmol/L, P &lt; 0.001, −1.6 ± 0.8 mmol/L, P &lt; 0.001, respectively), along with TC (−1.8 ± 1.2 mmol/L, P &lt; 0.001, −1.6 ± 1.3 mmol/L, P &lt; 0.001, respectively), but not TG, HDL-C, GAD-7 and PHQ-9. Conclusion: The integrated pharmaceutical and digital ERx intervention program was feasible and well accepted in ASCVD patients.

WHAT DO OLDER ADULTS THINK ABOUT ELECTRONIC PAIN APPS? USING A HEALTH LITERACY FRAMEWORK TO MEASURE QUALITY

Abstract Mobile pain applications (apps) may improve health communication. Mobile health apps do not always consider the needs of older adults. This project examines perceptions of pain apps on smartphones among older adults. The sample consisted of 23 older adults (M age = 64 years), with majority female (83%), predominantly Caucasian (91%), and majority some college education (65%). Respondents answered questions about 5 free pain apps using the Mobile Application Rating Scale (MARS). The MARS assesses descriptive and technical aspects of an eHealth apps using five categories including four quality scales: engagement, functionality, aesthetics, and information and one subjective quality scale. Participants currently had pain with range of 3 months to 12 years. The Single Item Health Literacy Screener identified 17 people have never asked for help reading health information; all participants scored 100% on the Rapid Estimate of Adult Literacy in Medicine Short Form. Participants self-reported an average of 2.6 comorbidities on the Functional Comorbidity Scale. The participants overall MARS rating ranged from 1-5; 11 participants rated pain apps very high (4-5). Important app characteristics identified by the older adults as critical for useable app included: Clear instructions, good navigation, and easy functionality. The elders reported that difficulty with loading the app and slow times would deter their use of the app. In terms of frequency of use, participants felt using the app was important weekly only if they experienced pain. These are important considerations in designing age-friendly technology for use with the frequent condition of pain among older adults.

Quantifying Parkinson’s disease severity using mobile wearable devices and machine learning: the ParkApp pilot study protocol

IntroductionThe clinical assessment of Parkinson’s disease (PD) symptoms can present reliability issues and, with visits typically spaced apart 6 months, can hardly capture their frequent variability. Smartphones and smartwatches along...