App Interface Research Articles

Usability Testing of the PACE-App to Support Family Caregivers in Managing Pain for People with Dementia.

Pain management is often suboptimal in individuals with dementia, and their family caregivers are tasked with supporting pain management despite limited preparation. The web-based PACE-app (PAin Control Enhancement) was designed to assist caregivers in managing pain for individuals with dementia. This study aimed to evaluate the usability of the PACE-app. A convergent parallel mixed-methods design was used to evaluate the PACE-app's usability with 16 family caregivers and 6 healthcare professionals. Quantitative data were collected using the Post-Study System Usability Questionnaire (PSSUQ), while qualitative data were gathered through guided app reviews and semi-structured interviews. Quantitative data were analyzed descriptively, and qualitative data were thematically coded. The PSSUQ results indicated that both family caregivers and healthcare professionals had a highly positive experience with the PACE-app: overall scores (2.01 vs. 1.68), system usefulness (1.76 vs. 1.68), information quality (1.98 vs. 1.80), interface quality (2.30 vs. 1.60), and satisfaction (2.00 vs. 1.60) were rated on a 1-7 scale (with lower scores indicating better usability). Qualitative findings supported these results, with participants endorsing the PACE-app's usefulness, ease of use, learnability, effective information presentation, aesthetics, clear layout, and overall satisfaction. Participants also provided valuable feedback for improving information quality (enhancing clarity) and interface quality (real-time coaching on pain management). The study demonstrated favorable usability and strong satisfaction among family caregivers and healthcare professionals using the PACE-app. Incorporating participants' suggestions will guide enhancements to the app's information and interface, ensuring it better meets users' needs.

Smart Compression Sock for Early Detection of Diabetic Foot Ulcers

The prevention of diabetic foot ulcers remains a critical challenge. This study evaluates a smart compression sock designed to address this issue by integrating temperature, plantar pressure, and blood oxygen sensors and monitoring data recorded by these sensors. The smart sock, developed with input from a certified Pedorthist, was tested on 20 healthy adult participants aged 16 to 53. It includes four temperature sensors and pressure sensors at common ulcer sites (first and fifth metatarsal heads, calcaneus, and hallux), and a blood oxygen sensor on the hallux. The sensors are monitored, and their transduced data are collected and stored through an app installed on a personal cell phone. The mobile app interface is user-friendly, providing intuitive navigation and easy access to the sensors’ data. Using repeated measures ANOVA and post hoc tests, we analyzed the impact of various physical activities on physiological changes in the foot. The device effectively detected significant variations in blood oxygen, temperature, and pressure across six activities. Statistical analyses revealed significant differences based on activity type and sensor location. These results highlight the smart sock’s sensitivity and accuracy, suggesting its potential to prevent diabetic foot ulcers. Further clinical trials are needed to evaluate its efficacy in a larger, more diverse population.

Cross-cultural study on social media usage and its correlation with mental health and family functioning

Social media has the potential to influence both mental health and family dynamics significantly. However, there is limited research on the relationship between social media usage, mental health, and family functioning. To address this gap, we developed a novel mobile app, Social Brain, and conducted a study with 563 social media users to evaluate their preferences for the app's interface and functionality. The user-preference app design was validated with a separate study involving 65 social media users.The Social Brain app provides personalized, visually engaging weekly reports on users’ mental health, family functioning, and social media usage patterns. Participants from Saudi Arabia, Malaysia, and the United Kingdom were recruited to use the app for four weeks. A detailed survey conducted with 25 participants revealed significant correlations: mental health was notably associated with marital and employment status, while family functioning was linked to marital status, nationality, employment status, and religion.Our results indicated a significant decrease in mean mental health scores after using the Social Brain app compared to pre-app usage assessments (2.11 ± 0.49 vs. 25.28 ± 5.72, P < 0.001). This finding highlights the need to view technology as a complement rather than a replacement for traditional mental health approaches. Our study offers valuable insights into the complex relationship between social media usage, mental health, and family functioning, suggesting pathways for future interventions at this intersection.

Exploring European Parents’ Attitudes Towards the Age Appropriateness of Digital Sexuality Education for Adolescents

We conducted a multinational cross-sectional survey in Europe to explore parental attitudes toward the appropriate age for adolescents to receive sexuality education through an app interface. This was delivered via an online survey across Belgium (n = 479), the United Kingdom (n = 445), and Italy (n = 454). Parents from Belgium consistently accepted their children accessing digital material at the youngest ages, whereas Italian participants selected the oldest age groups. Most parents, however,endorsed a spiral curriculum, whereby topics are introduced sequentially throughout adolescents’ school careers. Thus, whilst on average participants were comfortable with adolescents having access to content on body anatomy younger ages (from 9–12 years to 12–15 years), they approved virtual content on relationships and sex at older school ages (from 12–15 years to 15–18 years). European ethnicity, liberal sociosexual attitudes, lower religiosity, and higher educational attainment were associated with parents approving adolescent exposure to digital sex education at younger ages. To our knowledge, this exploratory study is the first to quantitatively examine parental attitudes toward digital sex education curricula, as well as explore the parental characteristics that relate to these attitudes. This work should inform educators internationally on their future efforts to deploy virtual sexuality learning.

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.

Integrating Intelligent Hydro-informatics into an effective Early Warning System for risk-informed urban flood management

The urban drainage system constantly facing flooding issues in coastal and urban areas. Robust and accurate urban flood management, particularly considering fast-moving compound floods, is crucial to minimize the impact of flood disasters in coastal cities. Till now, Ho Chi Minh City (HCMC) lacks an effective means of urban flood management because of flood risk communication among residents. Existing flood risk communication tools rely on post-disaster flood model outcomes and data. Therefore, this research proposes a real-time Early Urban Flooding Warning System (EUFWS) integrated with a user-friendly web and app interface. The backbone of this system consists of flood models developed using machine learning (ML) algorithms, combined with big data and Web-GIS visualization, with ML serving as the core for constructing the EUFWS. EUFWS offer several key advantages: they are available at all times, accessible from anywhere, and provide a real-time, multi-user working platform. Additionally, the system is flexible, allowing for the easy addition of components and services and scalable, adjusting to workload demands. EUFWS have been successfully deployed in Thu Duc City, Vietnam, as a case study and are operating effectively. EUFWS have been successfully deployed in Thu Duc City, Vietnam, as a case study and are operating effectively. Research results indicate that EUFWS supported decision-makers to be effectively risk informed and make intelligent decisions during urban flood emergencies. This underscores the significant potential of integrating ML and information technology to enhance the management of smart urban drainage systems in flood-prone cities worldwide.

Incorporating a mobile application to support communication about HPV testing among women and professionals: barriers and facilitators from the perspective of health professionals in a middle- and low-income setting in Argentina.

The delivery of positive Human papillomavirus (HPV) test results can have a psychosocial impact and act as a barrier for women to continue the cervical cancer (CC) prevention process. A previous formative research based on a woman's perspective indicated that a mobile app could be an acceptable and appropriate tool to help women obtain information and reduce fears related to a positive result. Based on these findings, we developed an app-based intervention that would function as a support for professionals who offer the HPV test and communicate their results. We report data on the perceptions of healthcare providers regarding the barriers and facilitators to the incorporation, in a low and middle-income context. Qualitative study based on individual semi-structured interviews with health professionals. All the professionals (n =13) took HPV and Pap test samples and provided information on HPV testing, in the public health system of Ituzaingó, Greater Buenos Aires, Argentina. The themes explored were selected and analysed using domains and constructs of Consolidated Framework for Implementation Research (CFIR). Practitioners had a positive assessment of the intervention through most included constructs: adaptability, compatibility, complexity, relative advantage, belief in the validity and robustness of the intervention, innovation source and knowledge and beliefs about the intervention. However, some potential barriers were also identified including: adaptability, tensions for change, relative priority and leadership engagement. Practitioners conditioned the intervention's success to specific adjustments of the app (weight and interface usability), legitimmated institutions' support, and clear and sustained health authorities' commitment and directions. Health professionals had a positive assessment of implementing an app to support the HPV test communication and information provision process, although they conditioned its effectiveness to specific adjustments. The results allow us to identify and develop recommendations for the app to be implemented effectively and sustained over time. The findings of this study have important implications not only for Argentina, but also for other low and middle-income countries, given that the implementation could be adapted, with the aim of improving communication between patients and health institutions in the CC prevention process.

“No miracle cure” interface evaluation of a UK suicide prevention app in a Norwegian context

Background 600 Norwegians die by suicide annually. Self-help apps may potentially reach and support suicidal individuals, next of kin, bereaved and professionals with educational information, access to suicide emergency help, hotlines, and coping tools. Knowledge regarding feasible app interface for suicide prevention self-help apps in a Norwegian context is however lacking. Aim Evaluate user-friendliness and user interface of the Norwegian version of the British Stay Alive suicide prevention app and assess whether the app could be useful in suicide prevention. Materials and Methods Eight Norwegian Fountain house members and twelve university students evaluated the app interface, and their experiences were discussed through individual- or focus-group interviews. Results Participants perceived app tools as relevant and useful for suicide prevention, however they raised concerns on privacy, evidence base, interface complexity, unintended symbolic value of app colours and content, and suitability in suicidal states. Conclusion The current Norwegian Stay Alive version has the potential to be user friendly, however improvements of interface are suggested. Significance Stay Alive interface must be adjusted and subjected to reiterative evaluations and feasibility assessments in collaboration with additional stakeholder populations to remedy interface concerns, and identify optimal Norwegian interface design, prior to implementation.

User Behavior Analysis and Optimization Countermeasures in Shopping APP Interface Design

In this study, the interface design and marketing strategy of shopping APP were deeply discussed, and a series of optimization countermeasures were put forward. The principles of interface design and user behavior are analyzed, and the design problems such as information overload, complicated navigation, low usage frequency and high user loss are pointed out. The countermeasures of interface design optimization, user behavior guidance and marketing strategy adjustment are put forward, including simplifying interface, optimizing navigation, personalized recommendation, incentive mechanism, brand building and marketing promotion. These measures are aimed at improving user experience, enhancing user stickiness and enhancing market competitiveness. Through this research, it provides theoretical basis and practical guidance for shopping APP interface design optimization and market strategy adjustment.

Empowerment Through Sustainable Journalism Practices in Africa: A Walkthrough of EcoNai + and Ushahidi Digital Platforms

ABSTRACT In this article, we address the question of sustainable journalism through the case studies of two leading digital journalism platforms in Africa: Ushahidi and EcoNai + . We draw on the walkthrough method to examine the extent to which these two journalism platforms address social, economic, and environmental crises in Africa and how they co-balance these issues with the crisis facing media and journalism itself. We achieve this by examining how audiences use these platforms. This method guarantees direct engagement with an app's interface to examine its technological mechanisms and embedded cultural references, thereby understanding how it guides users and shapes their experiences. Findings suggest that both platforms demonstrate sustainable journalism practices that align with the Sustainable Development Goals (SDGs) and emphasize citizen engagement. Challenges include functionality issues and sustainable business model concerns. Nonetheless, they contribute significantly to journalism practices addressing the SDGs. As a result, this study makes three important contributions to academic scholarship and practices. First, it provides meaningful insights into how African digital media platforms uniquely cover sustainability issues. Second, it examines the user experience issues surrounding the applications. Finally, it contributes to the growing body of research on sustainable journalism, especially in the Global South.

A Novel Group Decision Making Model to Compare Online Shopping Platforms

Over the years, E-commerce industry has been witnessing a phenomenal growth, thanks to rapid technological advancement in Industry 4.0. There has been a standout surge in the use of various online shopping platforms (OSP) for daily use. The recent pandemic has accelerated the growth trajectory and made a transformational change in the digital commerce landscape. As a result, there has been a proliferation of OSPs in the competitive domain. It is therefore pertinent to address the questions: How do the customers select their favorite OSP? To what extent the OSPs differ based on consumers’ preferences? The present work addresses these questions by proposing a novel group decision making framework. The ongoing study provides several innovative extensions of multi criteria decision making models like Borda count, criteria importance assessment (CIMAS), modified preference selection index (MPSI), and root assessment method (RAM). In this paper, the researchers provide a novel use of the Borda count method, integrated with CIMAS for determining criteria weights utilizing ranking of the criteria. Further, a novel extension of MPSI and RAM has been made with multiple normalizations. In this paper, the authors demonstrate a rare combination of vector and non-linear normalization using the Heron mean. The present paper derives the final criteria weights by combining Borda count, CIMAS and multi-normalization based MPSI (MNMPSI) using Bayesian logic. The criteria are selected based on Uses and Gratification theory (UGT). The findings reveal that interactive app interface and features (C16), user-friendly interface and search (C13), convenience in shopping (C14), product availability and variety (C12) and discounts and offers (C8) exert significant influence in selecting the OSP. Further, it is observed that Flipkart (A2) and Amazon (A1) are the top performers in the eyes of the users. The stability and reliability of the proposed methodology are examined by conducting a sensitivity analysis and comparing with several other models. The robustness of the proposed methodology and practical relevance of the findings of the present work shall provide notable impetus to the analysts and strategic decision-makers.

Aspect-Level Sentiment Analysis on GoPay App Reviews Using Multilayer Perceptron and Word Embeddings

The increase of smartphone usage in Indonesia has encouraged the development of digital wallet applications, one of which is GoPay. Nowadays, GoPay has gained significant popularity among the public in Indonesia. Therefore, this research conducts aspect-level sentiment analysis to analyze user reviews of the GoPay application in more detail and depth. The sentiment analysis process in this study utilizes the Multilayer Perceptron (MLP) with fastText and word2vec as word embeddings. The dataset used is GoPay application reviews, which consist of 15,000 reviews collected from Google Play Store. The dataset is categorized into three main aspects: Feature and functionality, App Interface, and User Satisfaction. The stages of the research include data preparation, data preprocessing, word embeddings, model training, and model testing and evaluation. This research explores the effect of fastText and word2vec as word embeddings on model performance. Furthermore, this research examines the application of oversampling techniques, such as SMOTE and Random Oversampling. Based on the experiments conducted, utilizing fastText as word embeddings in MLP with a balanced dataset resulted the best model performance, with an F1-Score of 97%, Recall of 96%, and Precision of 95% for aspect category classification. Then, for sentiment classification, using fastText on MLP with a balanced dataset resulted in a value of 98% for each of the F1-score, Recall, and Precision metrics. This research validates that MLP is effective for aspect-level sentiment analysis, delivering strong evaluation results.

Exploring the elderly user experience in using digital health interventions: a case study of the MySejahtera application

In recent years, there has been increased interest in using digital health tools to improve healthcare outcomes and encourage healthy lifestyles. However, older adults, who often face challenges with technology, may encounter difficulties when using these tools. This study focused on understanding how elderly individuals experience the MySejahtera app, a digital health tool designed to help manage health during a pandemic. The research involved 30 elderly users through focus groups, interviews, and user experience evaluations. The study identified key themes in the elderly user experience, such as the need for simplicity, efficiency in the app's interface, ease of learning, concerns about security, and emotional reactions. Recommendations were made to enhance the engagement of elderly users with digital health apps. While the MySejahtera app shows promise for older adults, the study highlights the importance of addressing specific design considerations and providing support to improve user satisfaction. Overall, the research offers valuable insights and recommendations for designing and implementing digital health applications that better meet the needs and preferences of elderly users.

Research on Visual Design of Smart Phone APP Interface Based on Human-Computer Interaction Behavior

This paper explores the application and influence of human-computer interaction behaviours in the visual design of smartphone APP interfaces. This paper firstly analyses the user's behavioural characteristics, interaction mode and optimization of the interaction process, and points out that the interface design should be closely integrated with the user's needs. Then the article puts forward the principles of smartphone app interface visual design, which provides a guiding framework for designers. In elaborating the design elements, the importance of colour, icon and text in interface design is emphasized, and the corresponding design principles and methods are proposed. The article concludes with a summary of the research results pointing out the problems and shortcomings, and looking forward to the future development trends and directions. This article aims to improve the user experience rate and interaction efficiency of smartphone APP interface design, and provide useful references for research and practice in related fields.

Visual Communication Design of Mobile App Interface Based on Digital

With the obvious trend of population aging, the demand of digital products for the elderly is increasing, and the visual design of APP interface is very important for the user experience of the elderly. This study will focus on how to design and optimize the interface through visual communication to enhance the application experience of elderly users. Through a comprehensive analysis of the design principles, user characteristics and use requirements of the aging reading APP, this paper discusses how to design skillfully in the aspects of color application, picture selection, typesetting layout and interactive operation, so as to create an interface that conforms to the reading habits of elderly users. Through the discussion of this study, the purpose is to provide designers and related practitioners with practical guidance and inspiration for the design of aging APP interface for elderly users. The primary aim is to advance digital product design towards a more human-centered and universally accessible direction, enhancing convenience and comfort for elderly users.

Cascade or updown sliding: the influence of interactive interface of short video app on information processing and user experience

Cascade or updown sliding: the influence of interactive interface of short video app on information processing and user experience

A Deep Learning-Based Rotten Food Recognition App for Older Adults: Development and Usability Study.

Older adults are at greater risk of eating rotten fruits and of getting food poisoning because cognitive function declines as they age, making it difficult to distinguish rotten fruits. To address this problem, researchers have developed and evaluated various tools to detect rotten food items in various ways. Nevertheless, little is known about how to create an app to detect rotten food items to support older adults at a risk of health problems from eating rotten food items. This study aimed to (1) create a smartphone app that enables older adults to take a picture of food items with a camera and classifies the fruit as rotten or not rotten for older adults and (2) evaluate the usability of the app and the perceptions of older adults about the app. We developed a smartphone app that supports older adults in determining whether the 3 fruits selected for this study (apple, banana, and orange) were fresh enough to eat. We used several residual deep networks to check whether the fruit photos collected were of fresh fruit. We recruited healthy older adults aged over 65 years (n=15, 57.7%, males and n=11, 42.3%, females) as participants. We evaluated the usability of the app and the participants' perceptions about the app through surveys and interviews. We analyzed the survey responses, including an after-scenario questionnaire, as evaluation indicators of the usability of the app and collected qualitative data from the interviewees for in-depth analysis of the survey responses. The participants were satisfied with using an app to determine whether a fruit is fresh by taking a picture of the fruit but are reluctant to use the paid version of the app. The survey results revealed that the participants tended to use the app efficiently to take pictures of fruits and determine their freshness. The qualitative data analysis on app usability and participants' perceptions about the app revealed that they found the app simple and easy to use, they had no difficulty taking pictures, and they found the app interface visually satisfactory. This study suggests the possibility of developing an app that supports older adults in identifying rotten food items effectively and efficiently. Future work to make the app distinguish the freshness of various food items other than the 3 fruits selected still remains.

Design of a Mobile App Interface That Engages Community Members in a Food System Pilot Study.

Supermarkets are scarce in many under-resourced urban communities, and small independently owned retail stores often carry few fresh or healthy items. The Baltimore Urban food Distribution (BUD) mobile application (app) was previously developed to address supply-side challenges in moving healthy foods from local suppliers to retailers. In-app opportunities for consumers to indicate demand for these foods are crucial, but remain absent. We sought to understand community members' perspectives on the overall role, function and features of a proposed consumer-engagement module (BUDConnect) to expand the BUD app. A series of initial high-fidelity wireframe mockups were developed based on formative research. In-depth interviews (n = 20) were conducted and thematically analyzed using ATLAS.ti Web. Participants revealed a desire for real-time crowd-sourced information to navigate their food environments safely and effectively, functionality to help build community and social networks among store owners and their customers, opportunities to share positive reviews and ratings of store quality and offerings, and interoperability with existing apps. Rewards and referral systems resulting in the discounted purchasing of promoted healthy items were suggested to increase adoption and sustained app use. Wireframe mockups were further refined for future development and integration into the BUD app, the program and policy implications of which are discussed.

A Mobile App Driven Smart Ball Launch System for Solo Sports Training

Abstract: In today's world, athletes face intense competition in a variety of sports, but there are few opportunities for them to practice or evaluate their performance on their own, making it difficult for them to grow. Thus, a system is proposed in this paper that allows players to conveniently practice alone without requiring human assistance and may also help them in analyzing their skills. The method mostly concentrates on tennis game. The automatic ball launches for practice is the main aim of the system. With the assistance of a Node MCU that can interact over the internet, the system gives the user exact control over when to launch balls, what kind of ball to launch, and how to launch them remotely. Which is possible on mobile devices due to Blynk app interface. Typically, the system offers three different ball launch types: over spin, backspin, and rapid ball launch. It also allows for exact speed control of the motors used to make the ball launch.

Abstract PO1-10-10: Leveraging technology to optimize symptom management and patient empowerment in routine breast cancer care: implementation of a remote patient monitoring (RPM) pathway across 24 hospitals in Europe

Abstract Background: In clinical trials, RPM has been proven to improve the quality of life and toxicity management for patients receiving systemic treatment and is recommended by international guidelines for routine clinical practice (Di Maio et al., Ann Oncol 2022). Resilience is an oncology-specific RPM system (CE marked, class IIa medical device - mobile application [app] or web interface) which prompts patients to complete a weekly survey including core symptoms from NCI’s PRO-CTCAE questionnaire. Severe or worsening symptoms trigger an alert notification sent to the patient’s care team. In addition to the RPM system, the mobile app offers a large pool of breast cancer-specific educational, self-management, and patient empowerment resources that are personalized according to symptoms reported, disease stage, and treatments received. Here we present the implementation of the Resilience RPM pathway in routine breast cancer care across 24 highly diverse cancer centers. Methods: The implementation process followed a phasic process of Exploration, Preparation, Implementation, and Sustainability that involved close collaboration with technology providers, hospital managers, and care teams at participating cancer centers to coordinate, train, provide technical assistance, and respond to site-specific needs. In addition, monthly webinars offered participating centers an opportunity to share best practices and ways to overcome implementation barriers. A dedicated platform with educational RPM resources for healthcare providers was also available. A process evaluation according to the RE-AIM framework was performed assessing the reach, adoption, implementation, and maintenance of the RPM pathway in routine care. The effectiveness of the pathway was assessed as the ability of the care team to timely respond to alerts. Aggregated system level metric of RPM was collected covering patients with breast cancer under active systemic treatment followed by Resilience from 01-11-2021 to 29-06-2023. Usage data of mobile app resources was tracked from 01-01-2023 to 29-06-2023. Qualitative assessments with focus groups complemented this evaluation. Results: 985 patients, 1% male, 99% female, with a median age of 57y (range: 21-95y; P25-75 38.5-64.5y), were registered across 24 cancer centers. In the last 6 months, the predominant RPM interface chosen by patients was the mobile app (64.1 vs 35.9% for the web platform). Adherence to weekly ePRO reporting was 89.4% in the mobile app and 86.6% in the web platform. The median time from prompt receipt to survey completion was 5.6 hours. The median time for the nurse navigator (NN) to process an alert was 3h50min. Most alerts (91%) were handled directly by NN with 9% requiring the support of a physician. The mean number of individual content consumed per patient was 13 (6744 resources/523 pts, 100% of app users accessed resources). Preferred formats of content delivery were written articles (66.5%), followed by videos (23.1%) and podcasts (10.4%). Most assessed contents referred to: symptom management advice (16%), followed by information about breast cancer disease characteristics (12.5%), supportive care strategies (11.5%), self-guided exercises of mindfulness-based stress reduction (9.4%), and breast cancer treatment journey (8.3%). Qualitative assessments of the app interface, educational content, and self-management programs revealed high levels of satisfaction. The RPM pathway is sustained in the 24 cancer centers and implementation is expanding to additional centers. Conclusion: The Resilience RPM pathway was successfully implemented in routine care across a diverse group of cancer centers with elevated levels of patient engagement and responsiveness from NN. In addition, patients accessed evidence-based educational and empowerment resources, adapted to their medical profile according to their preferences and learning style. Citation Format: Maria Alice Franzoi, Arlindo R Ferreira, Juliette Fanton d'Andon, Thomas Grellety, Eliane Ithurbide-Dachary, Laura Polastro, Laurence Caravella, Joseph Rodriguez, Nathanaelle Leprevier, Elsa Blanchard, Stéphane Remy, Belen d' Ythurbide, Romain Rivoirard, Raoudha Boughzala, Joana M Ribeiro, Ines Vaz Luis. Leveraging technology to optimize symptom management and patient empowerment in routine breast cancer care: implementation of a remote patient monitoring (RPM) pathway across 24 hospitals in Europe [abstract]. In: Proceedings of the 2023 San Antonio Breast Cancer Symposium; 2023 Dec 5-9; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2024;84(9 Suppl):Abstract nr PO1-10-10.