Quality Of Apps Research Articles

Complementary App-Based Yoga Home Exercise Therapy for Patients With Axial Spondyloarthritis: Usability Study.

Axial spondyloarthritis (AS) is a chronic inflammatory rheumatic disease characterized by potentially disabling inflammation of the spine and adjacent joints. Regular exercise is a cornerstone of treatment. However, patients with AS currently have little support. YogiTherapy (MaD Lab) is an app developed to support patients with AS by providing instructions for yoga-based home exercise therapy. This study aimed to evaluate the usability and acceptance of the newly designed YogiTherapy app for patients with AS. Patients completed the User Version of the Mobile Application Rating Scale (uMARS) and net promoter score (NPS) questionnaires after the app introduction. Wilcoxon Mann-Whitney rank sum test, chi-square test for count data, and correlation analysis were conducted to examine the usability of the app, acceptance, and patient characteristics. A total of 65 patients with AS (33, 51% female; age: mean 43.3, SD 13.6 years) were included in the study from May 2022 to June 2023. Subsequently, the data were analyzed. Usability was rated moderate, with a mean uMARS of 3.35 (SD 0.47) points on a scale from 0 to 5. The highest-rated uMARS dimension was information (mean 3.88, SD 0.63), followed by functionality (mean 3.84, SD 0.87). Females reported a significantly higher uMARS total score than males (mean 3.47, SD 0.48 vs mean 3.23, SD 0.45; P=.03, Vargha and Delaney A [VDA] 0.66, 95% CI 0.53-0.77). The mean average of the NPS was 6.23 (SD 2.64) points (on a scale from 0 to 10), based on 43% (26/65 nonpromoters, 42% (25/65) indifferent, and 15% (9/65) promoters. A total of 7% (5/65) of those surveyed did not answer the question. When applying the NPS formula, the result is -26%. The NPS showed a positive correlation with the usage of mobile apps (r=0.39; P=.02). uMARS functionality was significantly higher rated by patients younger than 41 years (mean 4.17, SD 0.55 vs mean 3.54, SD 1; P<.001; VDA 0.69, 95% CI 0.56-0.80). Patients considering mobile apps as useful reported higher uMARS (r=0.38, P=.02). The uMARS app quality mean score was correlated with the frequency of using apps (r=-0.21, P<.001). The results revealed moderate acceptance and usability ratings, prompting further app improvement. Significant differences were observed between age and gender. Our results emphasize the need for further improvements in YogiTherapy.

Pregnancy mobile app use: A survey of health information practices and quality awareness among pregnant women in Australia.

Health-related mobile applications (apps) have the potential to improve health knowledge and promote healthy behaviours during pregnancy. Pregnancy apps are popular and extensively used by consumers. This study investigates the usage patterns, decision-making criteria and concerns regarding the quality and credibility of health-related information within pregnancy mobile applications. The aim of this study is to understand consumer perspectives to potentially contribute to guidelines for apps containing health-related information. A cross-sectional study, utilising an online questionnaire for data collection. The study surveyed pregnant women in Australia who were recruited via online platforms, including social media and paid Facebook ads. Participants completed a 29-item questionnaire assessing their use of pregnancy apps, sources of health information and perceptions of app quality and safety, with data collected and analysed using the Qualtrics platform and SPSS Statistics. The survey was survey completed by 427 current-or-recently pregnant individuals, aged 18 or over and located in Australia. Overall, 62.3% were currently pregnant and 37.7% were recently pregnant, within 6 months. Medical practitioners were the primary source of pregnancy-related health information, and pregnancy apps were the third most common source. Pregnancy apps were considered to be a trustworthy source of information by 63.8% of respondents and the majority used apps during pregnancy (94.2%). Of those who used pregnancy apps (n = 325), information being safe and trustworthy was their top priority when selecting an app. However, 35.5% (n = 115) had encountered information in an app they felt was unsafe or conflicted with previous knowledge or advice. Only 4.6% (n = 15) were aware that health-related apps are not screened for accurate information/undergo quality assurance checks before being made available to download. If provided with a guide to evaluate app quality, 74.6% (n = 241) would utilise the tool. These findings highlight a need to promote the critical assessment of health information within pregnancy apps and to develop resources to support consumers in doing so.

Contents analysis of telemedicine applications in South Korea: An analysis of possibility of inducing selective or unnecessary medical care.

The use of telemedicine and telehealth has rapidly increased since the start of the COVID-19 pandemic, however, could lead to unnecessary medical service. This study analyzes the contents of telemedicine apps (applications) in South Korea to investigate the use of telemedicine for selective or unnecessary medical treatments and the presence of advertising for the hospital. This study analyzed 49 telemedicine mobile apps in Korea; a content analysis of the apps' features and quality using a Mobile Application Rating Scale was done. The study analyzed 49 mobile telemedicine apps and found that 65.3% of the apps provide immediate telemedicine service without reservations, with an average rating of 4.35. 87% of the apps offered selective care, but the overall quality of the apps was low, with an average total quality score of 3.27. 73.9% of the apps were able to provide selective care for alopecia or morning-after pill prescription, 65.2% of the apps for weight loss, and 52.2% of the apps for erectile dysfunction, with the potential to encourage medical inducement or abuse. Therefore, before introducing telemedicine, it is helpful to prevent the possibility of abuse of telemedicine by establishing detailed policies for methods and scope of telemedicine.

Evaluation of Chinese HIV Mobile Apps by Researchers and Patients With HIV: Quality Evaluation Study.

Against the backdrop of globalization, China remains one of the most heavily burdened countries in Asia with regard to AIDS. However, many high-risk groups and patients affected by AIDS may be less likely to actively seek care from medical institutions because of fear of experiencing shame or discrimination. Mobile apps provide a promising avenue for supporting the prevention, diagnosis, and treatment of AIDS. However, a comprehensive systematic evaluation of these mobile apps' functionality and quality has not been conducted yet. This study aims to identify the available mobile apps for AIDS in China, assess and discuss the functional features and quality of these Chinese AIDS mobile apps, and offer decision support for patients and clinical practitioners in accessing high-quality AIDS mobile apps. Furthermore, based on the evaluation results, recommendations for improvement will be provided. A systematic search was conducted on the Qimai app data platform, the Aladdin WeChat applet data platform, and WeChat to identify mobile apps related to AIDS. A snowball sampling method was used to supplement the potentially overlooked apps. The selected mobile apps underwent a rigorous screening process based on unified criteria. Subsequently, assessments were independently undertaken by 3 separate researchers and 2 patients with HIV, using both the Mobile App Rating Scale (MARS) and the User Mobile App Rating Scale (uMARS). Quantitative interpretations of the data were facilitated by the MedCalc statistical software (version 20.217, MedCalc Software). A total of 2901 AIDS mobile apps were included in the study, with 2897 identified through information retrieval and an additional 4 added via snowball sampling. After a rigorous selection process, 21 apps were determined to be usable. Among them, the Hong Feng Wan app achieved the highest combined average score, calculated based on the MARS (3.96, SD 0.33) and uMARS (4.47, SD 0.26). Overall, there was no significant correlation between MARS and uMARS (rapp quality total score=0.41; P=.07; rsubjective quality=0.39; P=.08). A notable issue was the widespread lack of user privacy protection, with only 24% (5/21) of the apps offering this feature. The number of available Chinese AIDS mobile apps is limited, with WeChat applets dominating the market. Nonetheless, the performance of WeChat mini-apps is generally inferior to that of independent apps, and there may be significant discrepancies between assessments conducted by researchers and those provided by genuine end users, emphasizing the necessity of involving real users in the development and evaluation of HIV mobile apps. In addition, developers of these Chinese HIV mobile apps need to devote attention to improving privacy protection mechanisms, in addition to considering the evaluations of researchers and real users. This will help attract more users and increase user loyalty.

Assessing the Quality, Privacy, and Security of Breast Cancer Apps for Arabic Speakers: Systematic Search and Review of Smartphone Apps.

Breast cancer is a widespread disease, and its incidence is rapidly increasing in the Middle East and North Africa region. With the increasing availability of smartphone apps for various health purposes, breast cancer apps have emerged as tools for raising awareness, providing support, and empowering women affected by this disease. These apps offer many features, including information on breast cancer risk factors, self-examination guides, appointment reminders, and community support groups or hotlines. Using apps raises the risk of privacy and security issues, and we hope that examining these features of the apps will contribute to the understanding of how technology can be used to improve these apps and provide insights for future development and improvement of breast cancer apps. This study aims to critically review the quality, privacy, and security of breast cancer apps available to Arabic speakers. Similar to several recent studies, we used a systematic search for apps available in Google Play and Apple App stores using both the web interface and the built-in native stores installed on smartphones. The search was conducted in mid-December 2022 in Arabic using the following keywords: سرطان الثدي - فحص سرطان الثدي - علاج سرطان الثدي - مرض سرطان الثدي - أعراض سرطان الثدي - فحص الثدي (breast cancer, breast cancer treatment, breast cancer disease, breast cancer symptoms, breast cancer screening, and breast test). These preidentified search terms are based on earlier work concerning the top searched breast cancer topics by Arabic speakers through Google's search engine. We excluded apps that did not have an Arabic interface, were developed for non-Arabic speakers, were paid, needed a subscription, or were directed toward health care workers. The Mobile App Rating Scale was used to evaluate the quality of the apps concerning their engagement, functionality, aesthetics, and information. A risk score was calculated for the apps to determine their security risk factors. Only 9 apps were included, with most (6/9, 67%) being supported by advertisements and categorized as informational. Overall, the apps had low numbers of downloads (>10 to >1000). The majority of the included apps (8/9, 89%) requested dangerous access permissions, including access to storage, media files, and the camera. The average security score of the included apps was 3.22, while only 2 apps provided information about data security and privacy. The included apps achieved an overall average quality score of 3.27, with individual dimension scores of 4.75 for functionality, 3.04 for information, 3.00 for aesthetics, and 2.32 for engagement. The limited availability of breast cancer apps available to Arabic speakers should be a call to action and prompt health care organizations and developers to join forces and collaboratively develop information-rich, usable, functional, engaging, and secure apps.

Developing a Comprehensive List of Criteria to Evaluate the Characteristics and Quality of eHealth Smartphone Apps: Systematic Review.

The field of eHealth is growing rapidly and chaotically. Health care professionals need guidance on reviewing and assessing health-related smartphone apps to propose appropriate ones to their patients. However, to date, no framework or evaluation tool fulfills this purpose. Before developing a tool to help health care professionals assess and recommend apps to their patients, we aimed to create an overview of published criteria to describe and evaluate health apps. We conducted a systematic review to identify existing criteria for eHealth smartphone app evaluation. Relevant databases and trial registers were queried for articles. Articles were included that (1) described tools, guidelines, dimensions, or criteria to evaluate apps, (2) were available in full text, and (3) were written in English, French, German, Italian, Portuguese, or Spanish. We proposed a conceptual framework for app evaluation based on the dimensions reported in the selected articles. This was revised iteratively in discussion rounds with international stakeholders. The conceptual framework was used to synthesize the reported evaluation criteria. The list of criteria was discussed and refined by the research team. Screening of 1258 articles yielded 128 (10.17%) that met the inclusion criteria. Of these 128 articles, 30 (23.4%) reported the use of self-developed criteria and described their development processes incompletely. Although 43 evaluation instruments were used only once, 6 were used in multiple studies. Most articles (83/128, 64.8%) did not report following theoretical guidelines; those that did noted 37 theoretical frameworks. On the basis of the selected articles, we proposed a conceptual framework to explore 6 app evaluation dimensions: context, stakeholder involvement, features and requirements, development processes, implementation, and evaluation. After standardizing the definitions, we identified 205 distinct criteria. Through consensus, the research team relabeled 12 of these and added 11 more-mainly related to ethical, legal, and social aspects-resulting in 216 evaluation criteria. No criteria had to be moved between dimensions. This study provides a comprehensive overview of criteria currently used in clinical practice to describe and evaluate apps. This is necessary as no reviewed criteria sets were inclusive, and none included consistent definitions and terminology. Although the resulting overview is impractical for use in clinical practice in its current form, it confirms the need to craft it into a purpose-built, theory-driven tool. Therefore, in a subsequent step, based on our current criteria set, we plan to construct an app evaluation tool with 2 parts: a short section (including 1-3 questions/dimension) to quickly disqualify clearly unsuitable apps and a longer one to investigate more likely candidates in closer detail. We will use a Delphi consensus-building process and develop a user manual to prepare for this undertaking. PROSPERO International Prospective Register of Systematic Reviews CRD42021227064; https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42021227064.

Insights into mobile learning continuance intention among school students and teachers via a hermeneutic phenomenological study during COVID-19

PurposeThis study aims to describe the m-learning experience of school students and teachers during the COVID-19 pandemic and explores the factors influencing the continuance intention of m-learning.Design/methodology/approachSemistructured interviews of 24 students and 09 teachers of schools in national capital territory (NCT) Delhi, India were conducted over 03 months and transcribed verbatim. A hermeneutic phenomenological design was used to interpret the text and bring out the “lived experiences” of m-learning.FindingsThe following 15 themes or factors influencing continuance intention emerged through the hermeneutic circle: (1) actual usage, (2) attitude, (3) context, (4) extrinsic motivation, (5) facilitating conditions, (6) intrinsic motivation, (7) perceived compatibility, (8) perceived content quality, (9) perceived mobile app quality, (10) perceived teaching quality, (11) perceived usefulness, (12) satisfaction, (13) self-efficacy, (14) self-management of learning and (15) social influence.Research limitations/implicationsThe study offers insightful recommendations for school administrators, mobile device developers and app designers. In addition, suggestions for effectively using m-learning during disasters such as COVID-19 have been provided. Several future research directions, including a nuanced understanding of m-assessment and online discussions, are suggested to enhance the literature on m-learning continuance.Originality/valueThe study enriches the literature on m-learning continuance. A qualitative approach has been used to identify relevant factors influencing m-learning continuance intention among secondary and higher secondary level (Grades 9 to 12) school students and teachers in India. In addition, a conceptual framework of the relationships among the factors has been proposed. Further, an analysis of the lived experiences of m-learning during the COVID-19 pandemic indicated several issues and challenges in using m-learning during disasters.

Functionality and Quality of Asthma mHealth Apps and Their Consistency With International Guidelines: Structured Search and Evaluation.

Asthma is a chronic respiratory disorder requiring long-term pharmacotherapy and judicious patient self-management. Few studies have systematically evaluated asthma mobile health (mHealth) apps for quality and functionality; however, none have systematically assessed these apps for their content alignment with international best practice guidelines. This review aims to conduct a systematic search and evaluation of current mHealth apps in the Australian marketplace for their functionality, quality, and consistency with best practice guidelines. The most recent Global Initiative for Asthma (GINA) guidelines were reviewed to identify key recommendations that could be feasibly incorporated into an mHealth app. We developed a checklist based on these recommendations and a modified version of a previously developed framework. App stores were reviewed to identify potential mHealth apps based on predefined criteria. Evaluation of suitable apps included the assessment of technical information, an app quality assessment using the validated Mobile App Rating Scale (MARS) framework, and an app functionality assessment using the Intercontinental Medical Statistics Institute for Health Informatics (IMS) Functionality Scoring System. Finally, the mHealth apps were assessed for their content alignment with the GINA guidelines using the checklist we developed. Of the 422 apps initially identified, 53 were suitable for further analysis based on inclusion and exclusion criteria. The mean number of behavioral change techniques for a single app was 3.26 (SD 2.27). The mean MARS score for all the reviewed apps was 3.05 (SD 0.54). Of 53 apps, 27 (51%) achieved a total MARS score of ≥3. On average, the reviewed apps achieved 5.1 (SD 2.79) functionalities on the 11-point IMS functionality scale. The median number of functionalities identified was 5 (IQR 2-7). Overall, 10 (22%) of the 45 apps with reviewer consensus in this domain provided general knowledge regarding asthma. Of 53 apps, skill training in peak flow meters, inhaler devices, recognizing or responding to exacerbations, and nonpharmacological asthma management were identified in 8 (17%), 12 (25%), 11 (28%), and 14 (31%) apps, respectively; 19 (37%) apps could track or record "asthma symptoms," which was the most commonly recorded metric. The most frequently identified prompt was for taking preventive medications, available in 9 (20%) apps. Five (10%) apps provided an area for patients to store or enter their asthma action plan. This study used a unique checklist developed based on the GINA guidelines to evaluate the content alignment of asthma apps. Good-quality asthma apps aligned with international best practice asthma guidelines are lacking. Future app development should target the currently lacking key features identified in this study, including the use of asthma action plans and the deployment of behavioral change techniques to engage and re-engage with users. This study has implications for clinicians navigating the ever-expanding mHealth app market for chronic diseases. PROSPERO CRD42021269894; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=269894. RR2-10.2196/33103.

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.

Larger-scale feasibility trial of the families moving forward (FMF) connect mobile health intervention for caregivers raising children with fetal alcohol spectrum disorders.

Caregivers raising children with fetal alcohol spectrum disorders (FASD) have limited access to evidence-based supports. This single-arm feasibility trial assesses the Families Moving Forward (FMF) Connect app to determine readiness for a larger randomized controlled trial (RCT). Eligibility for this online trial included caregivers of children (ages 3-12) with FASD residing in the United States. Caregivers received FMF Connect for 12 weeks on their personal smartphones (iOS or Android). Pre- and post-assessments included child behavior, parenting and family functioning, and app quality; user experience interviews were conducted post-intervention. Usage and crashes were monitored. Study objectives assessed feasibility of the trial (recruitment, attrition, measure sensitivity), intervention (technical functionality, acceptability), and implementation (caregiver usage). Recruitment strategies proved sufficient with 171 caregivers screened and 105 deemed eligible. Analyses identified a few predictive demographic and outcome variables related to attrition. Several study measures were sensitive to change. Additional trial and measurement improvements were identified. From a technological perspective, the FMF Connect app was functional; the Android prototype required more.

What would it take to improve the uptake and utilisation of mHealth applications among older Australians? A qualitative study.

Objective Health-related apps on mobile devices (mHealth apps) have become an effective self-management tool and treatment support for patients. There is limited research, however, on how older people (50 and over) perceive the opportunity of using mHealth apps. Our aim was to investigate the perceptions of older people in Australia regarding the opportunity of using prescribed or doctor-recommended mHealth apps and provide insights which can enhance their uptake of mHealth. Methods This was a qualitative study using semi-structured interviews involving 21 participants aged 51-82 years. Qualitative thematic analysis was used to categorise the factors that influence the adoption of mHealth apps by older adults. Results We show that beyond the prominent influencing factors from technology adoption research (such as performance and effort expectancy, social influence and facilitating conditions), health-specific factors such as a trusting doctor-patient relationship and strong health self-efficacy positively influence the intended adoption of mHealth apps among older adults. In addition, the IT security and accurate interpretation of participants' input in an mHealth app can present barriers to mHealth app adoption. Conclusion Our analyses provide additional insights complementing existing technology adoption research. Their successful adoption and utilisation require further empirical evidence on its effectiveness along with attention to the voices of those who are meant to use them. To address potential barriers, improve the quality and security of mHealth apps, and thus achieve greater patient safety, the involvement of consumers, regulators and health professionals is necessary.

Impact of quality of AR apps on customer brand engagement, word-of-mouth and purchase intention: moderating role of perceived brand value

Impact of quality of AR apps on customer brand engagement, word-of-mouth and purchase intention: moderating role of perceived brand value

NoFumo+: Mobile Health App to Quit Smoking Using Cognitive-Behavioral Therapy.

This paper describes the development and test of a smartphone application to quit smoking using cognitive behavioral therapy (CBT). The tool includes recommendations from US Clinical Practice Guidelines (USCPG), drawing on the potential of smartphones and complying with the health App (mHealth) assessment standards. The mHealth created, called NoFumo+, is structured by 4 weeks treatment, implements the USCPG 5A recommendations (ask, advise, assess, assist, and arrange) and incorporates a CBT. It also includes complementary information, monitoring of the smoking behavior, social support for users, proposals for alternative activities to smoking, and innovative gamification to encourage and reward adherence. To technical development, a multidisciplinary team was formed (healthcare, research, and software engineers) that made theoretical decisions on both technical issues and the incorporation of therapeutic techniques. The validation was carried out in two phases; the first in the laboratory by a group of experts in information and communication technologies and CBTs (n = 15) and the second, a field study with smokers (n = 10). The standards for the development of mHealth recommended by the Andalusian Healthcare Quality Agency and the App quality evaluation guidelines of the Catalonian ICT Foundation for Social Health were used as assessment protocols by the experts' panel and the smokers' group, respectively. Experts' assessment results were satisfactory and some improving changes were suggested, such as to add more gamification elements. The group of smokers rated the mHealth as 100% easy to use and effective for quit smoking and understandable by the 83.3%. They also found No Fumo + quite useful to have the information available at all times. The obtained evidence after a complete two-phased validation study, with experts and potential users, shows a mHealth with high quality and easy to use. Finally, investigation project registered in ClinicalTrials.gov with reference to this trial is registered with NCT045402004.

Community education on the health impacts of bushfires: Evaluation of an online pilot short course in Tasmania, Australia

Bushfires and smoke pose substantial risks to physical and mental health across exposed populations. Enhanced community-level knowledge and response capability may promote exposure reduction and therefore protect health, however few interventions exist to achieve this goal. We developed an online short course, ‘Bushfires and Your Health’, and piloted it with older adults as a vulnerable group. We evaluated course satisfaction, factors associated with course enrolment and completion, the likelihood of increased bushfire knowledge and response capability, and the likelihood of participants undertaking risk-mitigating or health-promoting actions. We (i) used a pre-post-course survey in the intervention group and a control group (who did not undertake the course); (ii) gathered data from the intervention group via a post-course feedback survey; and (iii) analysed participant discussion board submissions for evidence of course-related behaviour change. Compared to the control group, course enrolment was significantly positively associated with several demographic characteristics, including being retired (OR = 1.32, 95 % CI[1.02–1.71]), living in proximity to bushland (OR = 1.58, 95 % CI[1.23–2.04]) and having an existing bushfire survival plan (OR = 1.34, 95 % CI[1.05–1.70]), and significantly inversely associated with being employed (OR = 0.76, 95 % CI[0.59–0.97]) and having poor bushfire knowledge (OR = 0.78, 95 % CI[0.61–0.99]). Compared to the control group, course completion was significantly associated with increased bushfire knowledge, while enrolment and completion were significantly associated with participants undertaking new actions, including downloading and using an air quality app, developing a bushfire survival plan and making household preparations. An online short course has potential to increase knowledge and preparedness actions when managing bushfires and bushfire smoke.

EFSM Model-Based Testing for Android Applications

Model-based testing provides an effective means for ensuring the quality of Android apps. Nevertheless, existing models that focus on event sequences and abstract them into Finite State Machines (FSMs) may lack precision and determinism because of the different data values of events that can result in various states of Android applications. To address this issue, a novel model based on Extended Finite State Machines (EFSMs) for Android apps is proposed in this paper. The approach leverages machine learning to infer data constraints on events and annotates them on state transitions, leading to a more precise and deterministic model. Additionally, a state abstraction strategy is presented to further refine the model. Besides, test diversity plays a vital role in enhancing test suite effectiveness. To achieve high coverage and fault detection, test cases are generated from the EFSM model with the help of a Genetic Algorithm (GA), guided by test diversity. To evaluate the effectiveness of our approach, this paper carries out experiments on 93 open-source apps. The results show that our approach performs better in code coverage and crash detection than the existing open-source model-based testing tools. Particularly, the 19 unique crashes that involve complex data constraints are detected by our approach.

Refinement and Usability Analysis of an eHealth App for Ankylosing Spondylitis as a Complementary Treatment to Physical Therapy: Development and Usability Study.

Mobile eHealth apps have been used as a complementary treatment to increase the quality of life of patients and provide new opportunities for the management of rheumatic diseases. Telemedicine, particularly in the areas of prevention, diagnostics, and therapy, has become an essential cornerstone in the care of patients with rheumatic diseases. This study aims to improve the design and technology of YogiTherapy and evaluate its usability and quality. We newly implemented the mobile eHealth app YogiTherapy with a modern design, the option to change language, and easy navigation to improve the app's usability and quality for patients. After refinement, we evaluated the app by conducting a study with 16 patients with AS (4 female and 12 male; mean age 48.1,SD16.8 y). We assessed the usability of YogiTherapy with a task performance test (TPT) with a think-aloud protocol and the quality with the German version of the Mobile App Rating Scale (MARS). In the TPT, the participants had to solve 6 tasks that should be performed on the app. The overall task completion rate in the TPT was high (84/96, 88% completed tasks). Filtering for videos and navigating to perform an assessment test caused the largest issues during the TPT, while registering in the app and watching a yoga video were highly intuitive. Additionally, 12 (75%) of the 16 participants completed the German version of MARS. The quality of YogiTherapy was rated with an average MARS score of 3.79(SD0.51) from a maximum score of 5. Furthermore, results from the MARS questionnaire demonstrated a positive evaluation regarding functionality and aesthetics. The refined and tested YogiTherapy app showed promising results among most participants. In the future, the app could serve its function as a complementary treatment for patients with AS. For this purpose, surveys with a larger number of patients should still be conducted. As a substantial advancement, we made the app free and openly available on the iOS App and Google Play stores.

Evaluating mobile applications for estimating soil properties: Quality of current apps, limitations and future directions

The estimation of soil properties is an important factor in agriculture. With the advancement of smartphones and artificial intelligence, estimating soil properties such as the Munsell soil color, pH, soil organic matter and moisture is tangible, alleviating the need for laboratories, which are time-consuming and costly. While there are several smartphone applications available in different app stores that claim to provide this functionality, an evaluation of the limitations and quality is required for these apps. The objective of this study is to identify existing soil property estimation apps, devise a soil apps rating scale to evaluate the functionality along with the software quality characteristics, and provide design guidelines for improving apps of this type. A thorough search was conducted in two prominent app stores: the Google Play and Apple App store. The selected apps were then rated by four individual raters. A total of 337 apps were found in the search and from this list, 32 selected apps were reviewed using the devised app rating scale. The rating scale evaluates the apps against ten sub-scales: app metadata, aesthetics, general app features, performance and efficiency, usability, functionality, subjective quality, transparency, user comments, and the perceived impact of the app on users. The inter-rater and intra-rater reliability are calculated along with the internal consistency of the rating scale to ensure the validity of the results. The evaluation results that returned the highest-ranking mean sub-scales were performance, usability, and aesthetics. Adversely, the lowest-ranging sub-scales were functionality and general features. There was also an evident absence of the functionality to calculate any type of soil properties in all but four of the apps reviewed. Several key design considerations were identified, such as the need for automated estimation of soil properties, an improvement of general features, and the inclusion of a shared soil database.

GUI testing of Android applications: Investigating the impact of the number of testers on different exploratory testing strategies

AbstractGraphical user interface (GUI) testing plays a pivotal role in ensuring the quality and functionality of mobile apps. In this context, exploratory testing (ET), a distinctive methodology in which individual testers pursue a creative, and experience‐based approach to test design, is often used as an alternative or in addition to traditional scripted testing. Managing the exploratory testing process is a challenging task that can easily result either in wasteful spending or in inadequate software quality, due to the relative unpredictability of exploratory testing activities, which depend on the skills and abilities of individual testers. A number of works have investigated the diversity of testers' performance when using ET strategies, often in a crowdtesting setting. These works, however, investigated ET effectiveness in detecting bugs, and not in scenarios in which the goal is to generate a re‐executable test suite, as well. Moreover, less work has been conducted on evaluating the impact of adopting different exploratory testing strategies. As a first step toward filling this gap in the literature, in this work, we conduct an empirical evaluation involving four open‐source Android apps and 20 masters students that we believe can be representative of practitioners partaking in exploratory testing activities. The students were asked to generate test suites for the apps using a capture and replay tool and different exploratory testing strategies. We then compare the effectiveness, in terms of aggregate code coverage that different‐sized groups of students using different exploratory testing strategies may achieve. Results provide deeper insights into code coverage dynamics to project managers interested in using exploratory approaches to test simple Android apps, on which they can make more informed decisions.

Swipe, tap, read? Unveiling the effects of Touchscreen devices on Emergent Literacy Development in preschoolers

Emergent literacy skills are vital for children’s reading and writing development. While touchscreen devices have been linked to enhanced emergent literacy in developed countries, their impact in low- and middle-income countries (LMICs), with limited access to quality apps, is underexplored. Thailand, classified as an upper-middle-income country, presents a unique context with its specific challenges in educational technology, which have not been extensively studied. This study examined the relationship between touchscreen device usage and emergent literacy development in Thai preschool children. Using a cross-sectional design, we analyzed data from 317 Thai children aged 5–6 years, assessing their emergent literacy skills and examining the association with touchscreen device usage through logistic regression analysis. Our findings showed that 79.5% of participants engaged with touchscreen devices, and there was an observed trend suggesting that exclusive tablet users might exhibit enhanced phonological awareness, letter naming, and rapid automatized naming skills. However, these potential improvements did not reach statistical significance when primary caregiver characteristics were taken into account. Our findings highlight the complexity of this relationship and underscore the need for further research to elucidate the potential influences of application quality and screen time engagement on emergent literacy, particularly in LMICs.