App Features Research Articles

Initial Evaluation of Acceptability, Engagement, and Effectiveness of the MO App to Provide Tailored and Comprehensive Support for Smoking Cessation: Development and Usability Study

Background Despite the growing availability of smoking cessation apps, low engagement and cessation rates have remained a significant challenge. To address this issue, we used a user-centered design to iteratively develop a mobile app (MO) to provide comprehensive, tailored, and evidence-based content to support smokers in their quitting journey. Objective This study examined the acceptability, use, and preliminary efficacy of the MO app for smoking cessation. Specifically, we sought to understand smokers’ preferred features, engagement, and satisfaction with MO; identify concerns in using the app and ways to improve the app; and evaluate its smoking cessation outcomes. Methods Through 3 cohorts, we recruited 10, 12, and 85 adult smokers who attempted to quit smoking to pilot-test the MO app between December 2019 and July 2022. Participants were instructed to complete a baseline survey, interact with the app for 6 weeks, and fill in a postsurvey at week 6. Participants in cohort 3 completed an additional postsurvey at week 12. Participants’ app use was tracked and analyzed. The primary outcome measures were participants’ 7-day point prevalence abstinence at 6 and 12 weeks. Results Participants reported high levels of satisfaction with the MO app across all 3 cohorts, rating it between 4.40 and 4.76 on a scale of 5 for acceptability. Users engaged with app activities for an average of 89 to 159 times over 35 days. The most liked features of the app included “quit plan,” “tracking,” “reminders and notifications,” “MOtalks,” and “motivational quotes.” The 7-day point prevalence abstinence rate of the modified intention to treat population in cohort 3 was 58% at 6 weeks and 52% at 12 weeks. Those who interacted more frequently with app features and engaged with more diverse activities were more likely to maintain abstinence at weeks 6 and 12. For each additional time logged into the app, the odds of staying abstinent at week 12 increased by 5% (odds ratio [OR] 1.05, 95% CI 1.01-1.08). Participants who earned >5000 points during app use also had higher odds of quitting at both 6 weeks (OR 3.12, 95% CI 1.25-7.75) and 12 weeks (OR 4.65, 95% CI 1.83-11.76), compared with those who earned <5000 points. Conclusions Our study demonstrated that MO is a feasible mobile phone app with high acceptability and usability and can effectively deliver smoking cessation support to individuals who want to quit. Implications for developing and evaluating mobile phone apps for smoking cessation are discussed.

Managing a 4000-participant cohort with a novel mobile app: data from the RisCoin study in Germany

Abstract Issue RisCoin, a prospective monocentric longitudinal observational study, aimed to identify risk factors for COVID-19 vaccine failure. Secondary aim is to monitor symptoms, SARS-CoV-2 infection, vaccination status of 3816 enrolled healthcare workers (HCW) and 180 patients with inflammatory bowel disease (IBD). Since the LMU University Hospital Munich served both as study sponsor and employer of the HCW, a secured approach was required. Description of the solution Participants accessed the study app (CentraXX, KAIROS GmbH, Germany) via pseudonymized Contact-ID with irreversible anonymization after 6 months. Key app features were the serological results report, bidirectional messaging, and weekly survey for self-reported data on vaccinations, infections, and symptoms. Active app use was defined as submitting >1 weekly survey during the study period 10.2021-12.2022. Results Over 15 months, our study team maintained 1964 two-way communications with 958 participants via the app. Of 3979 participants with app access, 3622 (91%) were active users, 2606 (65%) submitted 1 to 11 surveys, 1016 (26%) made ≥12 submissions (P75, “frequent users”). Frequent users were more likely to be IBD patients (p = 0.001), female (p < 0.001), aged 60 or older (p < 0.001). Staff in administration and nurses were more likely to be frequent users compared to physicians (p < 0.001). Main problems included the initial operational system disparities resulting in app crashes and continuous need for app reactivation. Both led to loss of active participants and required substantial staff resources to onboard and support participants during the study. Lessons The study app enabled secure, flexible, bidirectional communication with all participants. Despite technical issues, the majority actively used the app and provided valuable longitudinal data through weekly survey submissions. Key messages • A study-specific app provides a flexible and secure bidirectional anonymous communication for the study team and participants. • Adherence to app-based communication and data collection for pandemic monitoring was particularly high among patients, nurses and administrative staff.

Mining User Reviews for Key Design Features in Cognitive Behavioral Therapy-Based Mobile Mental Health Apps.

Background: Cognitive behavioral therapy (CBT)-based mobile apps have been shown to improve CBT-based interventions effectiveness. Despite the proliferation of these apps, user-centered guidelines pertaining to their design remain limited. The study aims to identify design features of CBT-based apps using online app reviews. Methods: We used 4- and 5-star reviews, preprocessed the reviews, and represented the reviews using word-level bigrams. Then, we leveraged latent Dirichlet allocation (LDA) and visualization techniques using python library for interactive topic model visualization to analyze the review and identify design features that contribute to the success and effectiveness of the app. Results: A total of 24,902 reviews were analyzed. LDA optimization resulted in 86 topics that were labeled by two independent researchers, with an interrater Cohen's kappa value of 0.86. The labeling and grouping process resulted in a total of six main design features for effective CBT-based mobile apps, namely, mental health management and support, credibility support, self-understanding and personality insights, therapeutic approaches and tools, beneficial rescue sessions, and personal growth and development. Conclusions: The high-level design features identified in this study could evidently serve as the backbone of successful CBT-based mobile apps for mental health.

Augmented reality experiences: Consumer‐centered augmented reality framework and research agenda

AbstractSince the launch of Pokémon Go, augmented reality (AR) has been one of the main research areas within new technologies. Integrating digital elements into the physical world presents exceptional opportunities for different sectors, enabling enhanced interactions and experiences. This study conducts a systematic review of AR literature, highlighting the main theories, theoretical frameworks, and research methodologies employed. It also classifies the main types of AR devices and the diverse contexts in which they are applied. Through a comprehensive thematic analysis, four principal areas of current research are identified: (1) media characteristics and consumer outcomes, (2) psychological influential factors and outcomes, (3) AR app features and technology adoption, and (4) recommendations for implementation in the industry and advantages. Furthermore, the study provides key insights and introduces the consumer‐centered AR framework. The article concludes by proposing a future research agenda, highlighting prospective studies that can contribute from the perspective of the content, context, device, and consumer, as well as avenues for future research from a methodological perspective.

Exploring essential features for developing a human resource management mobile application: Insights from the middle east

This study aims to investigate the key features necessary for the development of a mobile application for human resource management (HRM). It addresses the shortage of empirical studies on digital HRM in the Middle East and emphasizes the increasing importance of HRM mobile applications in the region. The research utilizes qualitative research methods, including the Delphi method, in-depth interviews, literature review, historical analysis, and critical discussion.A qualitative research strategy is employed, analyzing data from 43 HR experts and mobile app development team members from international and local businesses in the UAE and the Kingdom of Bahrain. NVivo software is used for data analysis, encompassing over 120 transcriptions, notes, and academic papers. The study identifies and explores the logical and practical features required for an HRM mobile app. It uncovers challenges related to the Delphi survey experiences, such as managing heterogeneous information and ensuring compatibility with iOS and Android platforms. This research fills a gap in the literature by investigating the digital HRM landscape and HRM mobile applications in the Middle East. It provides valuable insights from HR and technology experts, contributing to the advancement of digital HRM, mobile applications, and the application of the Delphi method methodology. The study highlights implications for industries to enhance HR operations and productivity through the adoption of mobile HR applications. Theoretical contributions include new insights into the digital HRM literature, specifically regarding the identification and discussion of essential features in HRM mobile applications. Practical implications involve the benefits of transitioning from traditional HRM to digitalized HRM in the professional era, as identified through the analyzed features of the HR app. The study offers practical insights for the development and implementation of mobile HR apps. Organizations can leverage these insights to create effective mobile HR apps that enhance HR operations and employee productivity.

Satisfaction with Continuous Glucose Monitoring in Pregnant Patients with Type 1 and Type 2 Diabetes.

Continuous glucose monitoring (CGM) improves pregnancy outcomes in type 1 diabetes. Given rapid uptake of CGM in pregnancies complicated by both type 1 and type 2 diabetes, our objective was to determine if CGM satisfaction and use differed between type 1 and type 2 diabetes.Cross-sectional survey study of 100 patients with pregestational diabetes who used Dexcom G6 CGM during pregnancy and received prenatal care at a single tertiary care center. Participants completed the validated 15-question Glucose Monitoring Satisfaction Survey (GMSS) and other questions about CGM use. The primary outcome was high satisfaction with CGM, defined as total GMSS score of 4 or greater. Secondary outcomes included GMSS subscales, frequency of CGM app use, and CGM features used. Outcomes were compared between type 1 and type 2 diabetes, and logistic and ordinal regression estimated the association between type 2 diabetes and outcomes. Of 100 surveyed patients, 45 had type 1 and 55 had type 2 diabetes. Patients with type 1 diabetes were more likely to use CGM before pregnancy and use insulin pump. CGM satisfaction did not differ between type 1 and type 2 diabetes (74.5% vs 56.6%; aOR 0.54, 95%CI 0.21-1.36; Fig). High openness, low behavioral burden, low emotional burden, and high worthwhileness also did not differ between groups after adjustment for CGM use before pregnancy. Reported CGM app use was high and did not differ between groups. Patients with type 2 diabetes were less likely to use arrows and/or graphs on CGM app compared to type 1 diabetes. In this cohort, patients with type 2 diabetes appear to be similarly satisfied with CGM compared to those with type 1 diabetes. Future efforts focused on CGM education for new users may help increase use of CGM app features, maximize satisfaction and minimize technology burden.

Demand Analysis of Self-Management Mobile Health Applications for Middle-Aged and older Patients with Chronic Kidney Disease Based on the Kano Model.

Middle-aged and older individuals often face significant challenges in adopting digital health solutions, leading to a digital divide that hinders their ability to benefit from mobile health (mHealth) interventions. This study aims to investigate the specific requirements of middle-aged and older patients with chronic kidney disease (CKD) for self-management through mobile health applications (mHealth apps), using the Kano model. A multicenter cross-sectional survey was conducted from April to September 2023 in five hospitals across Sichuan, Shandong, Guangdong, and Shaanxi provinces in China. The Kano model was employed to analyze participants' preferences regarding mHealth apps for self-management. Out of 359 participants (57.1% men, predominantly aged 45-54), the study identified essential and desirable features for mHealth apps. Essential attributes include comprehensive CKD information and robust privacy protection. Key to enhancing user satisfaction are features like symptom and medication management, access to medical insurance information, and app interface simplicity. Additional attractive features for increasing app appeal include diet management, exercise guidance, and customizable text size. This study identifies critical mHealth app features for self-management in middle-aged and older CKD patients, emphasizing the importance of user-centric design. The findings provide valuable insights for app developers to create tailored solutions that cater to the specific needs of this demographic, potentially enhancing their self-management capabilities.

Better together: Automated app review analysis with deep multi-task learning

Context:User reviews of mobile apps provide an important communication channel between developers and users. Existing approaches to automated app review analysis mainly focus on one task (e.g., bug classification task, information extraction task, etc.) at a time, and are often constrained by the manually defined patterns and the ignorance of the correlations among the tasks. Recently, multi-task learning (MTL) has been successfully applied in many scenarios, with the potential to address the limitations associated with app review mining tasks. Objective:In this paper, we propose MABLE, a deep MTL-based and semantic-aware approach, to improve app review analysis by exploiting task correlations. Methods:MABLE jointly identifies the types of involved bugs reported in the review and extracts the fine-grained features where bugs might occur. It consists of three main phases: (1) data preparation phase, which prepares data to allow data sharing beyond single task learning; (2) model construction phase, which employs a BERT model as the shared representation layer to capture the semantic meanings of reviews, and task-specific layers to model two tasks in parallel; (3) model training phase, which enables eavesdropping by shared loss function between the two related tasks. Results:Evaluation results on six apps show that MABLE outperforms ten commonly-used and state-of-the-art baselines, with the precision of 79.76% and the recall of 79.24% for classifying bugs, and the precision of 79.83% and the recall of 80.33% for extracting problematic app features. The MTL mechanism improves the F-measure of two tasks by 3.80% and 4.63%, respectively. Conclusion:The proposed approach provides a novel and effective way to jointly learn two related review analysis tasks, and sheds light on exploring other review mining tasks.

Assessing the Effectiveness of an mHealth Intervention to Support Men Who Have Sex With Men Engaging in Chemsex (Budd): Single-Case and Pre-Post Experimental Design Study.

This study focuses on the Budd app, a mobile health intervention designed for gay, bisexual, and other men who have sex with men who participate in chemsex. Chemsex, the use of psychoactive drugs in a sexual context, presents substantial health risks including increased HIV transmission and mental health issues. Addressing these risks requires innovative interventions tailored to the unique needs of this population. This study aims to evaluate the effectiveness of the Budd app in promoting drug harm reduction practices among its users, focusing on knowledge, behavioral intention, risk behavior awareness, and self-efficacy. The study used a mixed methods approach, combining a single-case experimental design and a pre-post study. A total of 10 participants from an outpatient clinic were recruited, and each attended the clinic 3 times. During the first visit, participants installed a restricted version of the Budd app, which allowed them to report daily mood and risk behavior after chemsex sessions. Phase A (baseline) lasted at least 2 weeks depending on chemsex participation. In the second visit, participants gained full access to the Budd app, initiating phase B (intervention). Phase B lasted at least 6 weeks, depending on chemsex participation, with identical data input as phase A. Participants completed pre- and postintervention surveys assessing behavioral determinants during the first and third visit. The study observed an increased knowledge about chemsex substances postintervention, with a mean percentage improvement in knowledge scores of 20.59% (SD 13.3%) among participants. Behavioral intention and self-efficacy showed mixed results, with some participants improving while others experienced a decrease. There was also a variable impact on awareness of risk behavior, with half of the participants reporting a decrease postintervention. Despite these mixed results, the app was generally well-received, with participants engaging with the app's features an average of 50 times during the study. The Budd app showed effectiveness in enhancing knowledge about chemsex substances among gay, bisexual, and other men who have sex with men. However, its impact on safe dosing behavior, behavioral intention, self-efficacy, and risk behavior awareness was inconsistent. These findings suggest that while educational interventions can increase knowledge, translating this into behavioral change is more complex and may require more participants, a longer follow-up period, and additional strategies and support mechanisms.

Digital atmospheres of mental health apps: A new materialist exploration of the experience of managing mental (ill)health using an app

Apps are an increasingly commonplace source of support and authority for managing mental (ill)health symptoms. This article analyses their increasingly agential role in support practices through their capacity to reconfigure individual and collective understandings of mental health. New materialist research acknowledges the agency of both human and non-human actors and considers the on-going relations of bodies and technology within social contexts. We apply the concept of digital atmosphere to trace the material-affective forces constituting the experience of using a mental health app. Our findings demonstrate the multiplicity of ways people improvise with their use, situated within their own unique contexts and environments, and the influence of relationships on individual perceptions and engagements with the apps. Furthermore, we consider the different ways in which participants perceive their mental (ill)health, sometimes in fractious conflict with the apps. Finally, we highlight that features of for-profit apps can reshape understanding of mental (ill)health needs and perceptions of responsibility, resulting in the capacity for apps to be simultaneously disciplining and liberating. The findings provide insight of significant value to mental health policy and practice.

Batik Scan: Empowering Cultural Heritage Knowledge Through Mobile Innovation

Batik Malaysia, a type of textile art known as Batik originated in Malaysia, especially in the east coast states; Kelantan, Terengganu, and Pahang. The Batik mostly uses features flower motifs and designs instead of living creatures, such as humans and animals. Even though Malaysian wear it every day, they do not have sufficient knowledge about Batik. Besides, there is a limited number of platforms where Malaysian can get access to the information of Batik in the easiest and fastest way. Hence, this study aims to design and develop a mobile app for batik identification by only capturing the motifs and designs using a camera feature. The app, called as batik scanner, provides quick information related to Batik Malaysia. This app is especially suitable for adults, batik lovers, and new learners. The advances in digital technology play an important role in helping people to identify the type of Batik Malaysia. It also can reduce the effort of new learners and Batik lovers to find out information of Batik. To ensure that users will have a good mobile user experience, an understanding of the importance and limitation of the mobile app features and behaviour is necessary. Therefore, the design thinking approach was applied as the development methodology as it provides a solution-based approach to solving problems. User requirements were gathered through interviews followed by defining the core problems. Next, innovative solutions were identified using the brainstorm technique and mind mapping. Once the batik scanner prototype was completed, user testing was carried out with the targeted respondents to refine the solution. An online form also was distributed to evaluate the usability of the prototype. The results of the evaluation indicate that the Batik Scanner need to improve some of the interface designs. The respondents were also satisfied with the functions of managing the information in the Batik Scanner. The study contributes toward understanding users’ needs in creating the solution to the identified problems. It may serve as a guideline for other developers and researchers to develop similar apps or to enhance the features of Batik Scanner to become better and easier for users.

Can 3-year-old children learn verbs using an educational touchscreen app?

IntroductionResearch demonstrates that children can learn nouns using touchscreen apps, however there has been less attention to whether apps can also promote verb learning. In addition, only a few studies have investigated the role of adult-child co-use for facilitating language learning from touchscreen apps.MethodIn the present study, 3-year-old children were taught three novel verbs in a live condition or with an app. Children in the app condition either used the app in a child-led interaction or an adult-led interaction. Children's verb learning was assessed using a three-choice pointing task.Results and discussionOnly children in the live condition showed evidence of verb learning and performed above chance, and there were no differences in performance by children in the app conditions. Children therefore did not show evidence of verb learning from our experimental app. Further research therefore needs to investigate different strategies for adult-child co-use and the role of different app features for supporting children's verb learning from apps.

Android malware defense through a hybrid multi-modal approach

The rapid proliferation of Android apps has given rise to a dark side, where increasingly sophisticated malware poses a formidable challenge for detection. To combat this evolving threat, we present an explainable hybrid multi-modal framework. This framework leverages the power of deep learning, with a novel model fusion technique, to illuminate the hidden characteristics of malicious apps. Our approach combines models (leveraging late fusion approach) trained on attributes derived from static and dynamic analysis, hence utilizing the unique strengths of each model. We thoroughly analyze individual feature categories, feature ensembles, and model fusion using traditional machine learning classifiers and deep neural networks across diverse datasets. Our hybrid fused model outperforms others, achieving an F1-score of 99.97% on CICMaldroid2020. We use SHAP (SHapley Additive exPlanations) and t-SNE (t-distributed Stochastic Neighbor Embedding) to further analyze and interpret the best-performing model. We highlight the efficacy of our architectural design through an ablation study, revealing that our approach consistently achieves over 99% detection accuracy across multiple deep learning models. This paves the way groundwork for substantial advancements in security and risk mitigation within interconnected Android OS environments.

국내 2형 당뇨병 애플리케이션의 디자인 사례 연구 - 20~30대가 선호하는 애플리케이션 중심으로

According to statistics from the Korea Health Insurance Review and Assessment Service, the number of diabetes patients in their 30s stood at 121,568 as of 2020, up 25.5% from four years ago. In particular, the prevalence of young diabetes patients in their 20s increased by 47% from 23,798 in 2016 to 35,005 in 2020. They are at high risk of complications due to their long disease life, so the importance of the diabetes management app is drawing attention for steady management and continuous information, but most apps are being developed focused on middle-aged people. There is inevitably a difference between the living environment of middle-aged people and those in their 20s and 30s, but due to the characteristics of the younger generation, which has a high proportion of single-person households, it is difficult to manage diabetes on their own. For young diabetics and diabetes patients in their 40s or older, there will be differences in the areas that are directly or indirectly affected by the living environment and social environment, so the preferred design will change and the physical situation will be affected, which will affect the user interface. Looking at the two objects together and developing diabetes applications will inevitably cause inconvenience to users. Recognize the gap between the two targets and see the need for applications used by young diabetes patients who have been pushed out of development targets, not applications for existing middle-aged people. Therefore, the study conducted a basic study for developing applications suitable for young diabetes patients by comparing applications preferred by people in their 20s and 30s with the design characteristics of diabetes management apps in order to develop applications that can help young diabetics manage diabetes on their own. The paper compared and analyzed the most frequently used and existing diabetes applications in their 20s and 30s. Currently, for diabetes applications, there is a lack of fun factors that can increase user access, leading to the need to develop fun factors that can help young diabetics manage continuously.

Deep Linking and User Engagement Enhancing Mobile App Features

Deep Linking and User Engagement Enhancing Mobile App Features

Exploring Design Opportunities for Improved Self-motivation in Self-tracking and Health Goal Achievement

Self-tracking has grown in popularity over recent years, leading to a rise in users who monitor data for improving their health. However, decreasing self-motivation due to different user circumstances such as priorities, lifestyles, and habits affects how users conduct self-tracking in apps and hamper their progress towards achieving health goals. We investigated factors that contribute to increasing and maintaining self-motivation while self-tracking for health goals, as well as the potential applications of these factors in health apps. We conducted semi-structured interviews with 15 participants to gain insights into their self-tracking habits and health app usage. Our thematic analysis suggests that users value convenient self-tracking methods and seeing notable progress changes toward a health goal. These findings reveal design opportunities for streamlining app features, reframing progress indicators in data visualizations, and accommodating user priorities.

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.

Kudos, segments, and heatmaps

The development and utilization of social media apps creates both opportunities and ‎challenges for users, a phenomenon that includes the endurance sport community. The Strava app, ‎launched in 2009, has grown in popularity to approximately 100 million users as of March 2024. At ‎times referred to as social media for endurance athletes, Strava illustrates a specific form of virtual ‎communication worthy of examination. In this paper the aims are to: 1) describe the app features and ‎its impact on users, both the benefits and the challenges; 2) explore a number of ethical issues associated ‎with using Strava. Methods include a philosophical approach with a particular focus on the American ‎philosophical tradition (e.g., Henry David Thoreau, William James, Henry Bugbee), along with first-person ‎accounts of using Strava for running and swimming workouts.‎

The Effectivity of Trello Task Management Application in Campaign Management Division PT XX

Task management as one of the important aspects of business processes in the current era, through a focus on visibility and utilization of application-based office technology, web, social media, and e-commerce. Through effective task management is the key to success in achieving business goals. So, the use of relevant task management applications such as Trello is needed to organize daily tasks and work. This research uses a descriptive qualitative method with a case study approach. The sampling process was carried out using non-probability and purposive sampling techniques to explore the informants' in-depth understanding of the use of Trello as a project management tool in the organization. The results showed that Trello is effective in organizing work, improving project management processes, and contributing to organizational success. However, there are several recommendations for improvement, including the integration of Trello with communication platforms, increased use of the app's features, and efforts to socialize and evaluate future use of the app. This research highlights the importance of the organization's role in improving the quality of the use of applications and related office systems so that the achievement of organizational goals can be maximized.

Patient evaluation of Klick, a technology-enabled, nurse-delivered HIV outpatient pathway.

Klick is a clinic-specific, digitally supported outpatient pathway of care for people living with HIV (PLWH). It involves a smartphone application (app) for PLWH to self-manage their care, navigate access to the clinic and communicate with their healthcare provider. We present a patient evaluation of Klick. Patients use Klick to book/reschedule appointments, view laboratory results, request medication, access remote nurse-delivered consultations and communicate with clinicians. In October 2022, Klick was evaluated by PLWH through a questionnaire and interviews. Between August 2020 and April 2024, 5859 patients had registered to use Klick; during April 2024 alone, 2509 (43%) used Klick. In October 2022, 1661 PLWH were invited to complete surveys, of whom 362 (22%) responded. These respondents were 95% (340/358) male and 84% (298/354) white, and 63% (227/359) were in the age range 41-60 years. Respondents felt Klick was easy to use (average score 4.3/5), and 92% thought having a clinic-specific app was important/very important. Respondents valued the following app features as important/very important - online booking (93%); viewable results (94%); prescription requests (90%) - and rated their experience of using them highly - 91% for e-booking and 91% for viewable results. A total of 93% said they would recommend Klick to friends and 82% rated Klick as above average/excellent. PLWH reported high levels of satisfaction using a clinic-specific mHealth app to manage their HIV care and demonstrated sustained active use. Klick was rated easy to use, as helping to meet healthcare needs and as providing a superior experience for some aspects of care. Other HIV clinics or services managing chronic conditions could benefit from the adoption of personalized digital solutions to enhance patient care.