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BACKGROUND: Empathy is at the core of patient-centred care. Evidence has continually found that empathy helps foster therapeutic relationships and is essential in the delivery of quality healthcare. In India, many factors are barriers to empathy for nursing professionals. OBJECTIVES: DESIGN AND METHODS: The IDEO design thinking process was followed to design the game. A focus group discussion with 18 nurses helped identify relevant scenarios and barriers to empathy. A scenario of an interaction between a nurse and a cancer patient was identified to create the game. The game mechanics, rubrics, and scenarios were built based on feedback from diverse professionals consisting of doctors, nurses, and UX designers. A learner feedback form assessing usability, contextual specificity, engagement, and perceived learnability was created and its reliability was tested. The game was tested on 60 nurses, followed by administration of the learner feedback form. To assess changes in empathy, an empathy scale was administered before the intervention and seven days after the intervention on 20 nurses. RESULTS: The learner feedback form was found to have Cronbach's Alpha >0.70, and therefore reliable. The responses to the learner feedback form were analysed using the Chi Square test and were found to be positive and statistically significant (p-value<0.001). The differences in pretest and posttest empathy scores were analysed using the Wilcoxon Signed Ranks test and were found to be statistically significant as well (p-value<0.001). CONCLUSIONS: The positive response to the learner feedback form, and the improvement in empathy scores after the intervention, indicates that games have a potential role in teaching empathy to Nursing Professionals.

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INTRODUCTION: Pediatric injection is an essential skill of nursing. The survey of the learner's experience during the learning process helps identify problems and leads to improvement. We here applied a three-phrase design thinking framework. The study aims to investigate (1) the registered nurses' experience in learning injection technique, (2) the nursing students' experience in learning injection, and (3) the cause of problems and to propose (4) a learning material that will be used to solve the encountered problems. MATERIALS AND METHODS: A cross-sectional study was applied. The study employed convenience sampling. Registered nurses from a tertiary hospital in Bangkok, Thailand, and fourth-year nursing students from a nursing school in Bangkok, Thailand, were selected. The data collecting tools contain a personal information form and the experience of injection learning. The inferential and descriptive statistics was used to analyze the data. RESULTS: The results show that the major issues of injection learning include selecting the correct site for injection and determining the needle length and injection angle and contamination. CONCLUSIONS: Therefore, teaching materials for the anatomy of the injection area and the technique to determine the correct size and depth of injection are needed.

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Inclusive Design Thinking (IDT) is an approach that specifically addresses disadvantaged user groups and involves them in the innovation process. In recent years, IDT has emerged as a particularly promising approach for increasing citizen and patient engagement in the development of digital health applications. Although IDT is based on existing frameworks of design thinking and human-centered design approaches, there is still no overview of its methods for digital health solutions. Our aim was to develop such a systematic overview of the methods used, aligned with the design process, and thereby facilitate the practical application of IDT. 44 IDT methods could have been consolidated and assigned to the phases of the IDT process. This work provides the first systematic overview of IDT methods used for Digital Health (DH). Future work could expand on this and, for example, investigate the effectiveness of the methods in more detail.

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BACKGROUND: Mobile health (mHealth) technologies are increasingly used in contact tracing and case finding, enhancing and replacing traditional methods for managing infectious diseases such as Ebola, tuberculosis, COVID-19, and HIV. However, the variations in their development approaches, implementation scopes, and effectiveness introduce uncertainty regarding their potential to improve public health outcomes. OBJECTIVE: We conducted this systematic review to explore how mHealth technologies are developed, implemented, and evaluated. We aimed to deepen our understanding of mHealth's role in contact tracing, enhancing both the implementation and overall health outcomes. METHODS: We searched and reviewed studies conducted in Africa focusing on tuberculosis, Ebola, HIV, and COVID-19 and published between 1990 and 2023 using the PubMed, Scopus, Web of Science, and Google Scholar databases. We followed the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines to review, synthesize, and report the findings from articles that met our criteria. RESULTS: We identified 11,943 articles, but only 19 (0.16%) met our criteria, revealing a large gap in technologies specifically aimed at case finding and contact tracing of infectious diseases. These technologies addressed a broad spectrum of diseases, with a predominant focus on Ebola and tuberculosis. The type of technologies used ranged from mobile data collection platforms and smartphone apps to advanced geographic information systems (GISs) and bidirectional communication systems. Technologies deployed in programmatic settings, often developed using design thinking frameworks, were backed by significant funding and often deployed at a large scale but frequently lacked rigorous evaluations. In contrast, technologies used in research settings, although providing more detailed evaluation of both technical performance and health outcomes, were constrained by scale and insufficient funding. These challenges not only prevented these technologies from being tested on a wider scale but also hindered their ability to provide actionable and generalizable insights that could inform public health policies effectively. CONCLUSIONS: Overall, this review underscored a need for organized development approaches and comprehensive evaluations. A significant gap exists between the expansive deployment of mHealth technologies in programmatic settings, which are typically well funded and rigorously developed, and the more robust evaluations necessary to ascertain their effectiveness. Future research should consider integrating the robust evaluations often found in research settings with the scale and developmental rigor of programmatic implementations. By embedding advanced research methodologies within programmatic frameworks at the design thinking stage, mHealth technologies can potentially become technically viable and effectively meet specific contact tracing health outcomes to inform policy effectively.

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This study investigates the efficacy of Non-Player Characters (NPCs) in the metaverse as a tool for enhancing the design thinking mindset of university students. Utilizing a controlled experimental design, we compared the design thinking competencies of two student groups: those who interacted with NPCs in the metaverse and those who did not. Over design thinking mindset questionnaire and four assignments, we measured dimensions of design thinking, including Human centeredness, Empathy, Mindfulness and awareness of process, Holistic view; Problem reframing; Team Working; Multi-/inter-/cross-disciplinary collaborative teams, Open to different perspectives/diversity, using a t-test for statistical significance. The findings reveal that NPCs significantly foster the development of Empathy, Problem reframing, and Open to different perspectives/diversity skills, which are essential to design thinking. In contrast, no significant effect was observed in the areas of human-centeredness, process awareness, team working, and collaboration in diverse disciplines. The use of NPCs was particularly impactful in complex tasks, as evidenced by the increasing effectiveness observed in later assignments. The results underscore the selective benefits of NPCs in metaverse learning environments, suggesting that their integration should be strategically targeted to enhance specific design thinking skills. The study suggests a potential for NPCs to play a significant role in long-term learning strategies, where a step-by-step skill acquisition could culminate in advanced design thinking tasks. These insights pave the way for educators to develop nuanced curricula that leverage the strengths of NPCs and for further research to optimize their use in educational metaverse platforms.

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Design thinking (DT) has been a subject of extensive debate and application across diverse knowledge domains, including the realm of food; nonetheless, its precise definition remains unclear. This systematic review comprised two components. Firstly, it examined the evolving understanding of DT by aggregating pertinent studies selected based on their representativeness, determined by the volume of citations. This process was deployed using citation mapping software, complemented by an analysis of the most pertinent reviews within this domain. Secondly, it investigated the Food Design Thinking (FDT) approach. The review encompassed a total of 22 references and reviews in the first segment and 27 studies in the second segment. In Part 1, the results revealed the emergence of two principal areas of investigation, namely education and management, stemming from the foundational DT theory. Furthermore, the findings highlighted that DT has assimilated the knowledge gathered from these domains. In Part 2, the outcomes illustrated the utilisation of FDT to address a multitude of food-related issues, including education, sustainability, health and wellbeing, and the development of food products. From this analysis, it is notable that this approach presents contextual variations while emphasising the notion of integration of the consumers throughout the FDT process.

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Introduction: Complex chronic patients are prone to unplanned hospitalizations leading to a high burden on healthcare systems. To date, interventions to prevent unplanned admissions show inconclusive results. We report a qualitative analysis performed into the EU initiative JADECARE (2020-2023) to design a digitally enabled integrated care program aiming at preventing unplanned hospitalizations. Methods: A two-phase process with four design thinking (DT) sessions was conducted to analyse the management of complex chronic patients in the region of Catalonia (ES). In Phase I, Discovery, two DT sessions, October 2021 and February 2022, were done using as background information: i) the results of twenty structured interviews (five patients and fifteen professionals), ii) two governmental documents on regional deployment of integrated care and on the Catalan digital health strategy, respectively, and iii) the results of a cluster analysis of 761 hospitalizations. In Phase II, Confirmation, we examined the 30- and 90-day post-discharge periods of 49,604 hospitalizations as input for two additional DT sessions conducted in November and December 2022. Discussion: The qualitative analysis identified poor personalization of the interventions, the need for organizational changes, immature digitalization, and suboptimal services evaluation as main explanatory factors of the observed efficacy-effectiveness gap. Additionally, a program for prevention of unplanned hospitalizations, to be evaluated during the period 2024-2025, was generated. Conclusions: A digitally enabled adaptive case management approach to foster collaborative work and personalization of care, as well as organizational re-engineering, are endorsed for value-based prevention of unplanned hospitalizations.

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This study explores the integration of design thinking into online problem-based learning (PBL) within the context of nursing education, leveraging Google Jamboard as a facilitative interactive tool. By prioritizing creativity, empathy, and iteration, this innovative approach seeks to bolster student motivation and satisfaction. Employing a quasi-experimental design, the research involved third-year nursing students and compared the efficacy of traditional PBL methods against a hybrid model that integrates design thinking principles. Notably, the experimental group's interaction with Google Jamboard significantly enhanced their engagement, resulting in notable improvements in both motivation and satisfaction. The findings underscore the benefits of merging online PBL with design thinking, particularly when supported by digital tools, in creating a more vibrant and effective learning environment. This methodology not only stimulates active learning but also fosters vital competencies such as critical thinking and collaboration, which are crucial in the nursing profession. The results of this study advocate for the implementation of cutting-edge teaching methodologies in nursing education and pave the way for further investigation into the enduring impacts of this educational amalgamation.

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Cancer self-management interventions improve symptom management and confidence, but few interventions target the complex needs of older adults with cancer and multi-morbidities. Despite growing evidence of digital health tools in cancer care, many such tools have not been co-designed with older adults to ensure that they are tailored to their specific needs. The objective of the study was to design a self-and symptom-management app to support older adults with cancer and multi-morbidities. Utilizing a user-centered design thinking framework, we recruited 2 caregivers and 18 older adults with lived experiences of cancer to design a medium-fidelity app prototype. Participants highlighted the importance of tracking functions to make sense of the information about their symptoms, clear displays, and reminders to mitigate concerns related to polypharmacy. This app will create a 'home base' for symprtom management and support for older adults with cancer and multi-morbidities.

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This article delves into the understudied realm of investigating the potential benefits of integrating design thinking into community-based participatory research within the context of culturally diverse dementia caregivers. Following the Double-Diamond process model, we conducted a series of workshops with 15 family caregivers of dementia patients from three distinct communities (multi-racial, Black, and Latino ethnicity) to gain insights into their daily experiences and co-create interventions that could address their pressing challenges. The research question for this study aimed to explore the potential benefits of design thinking in community-based research on dementia caregiving. Our findings contribute to the health design community by demonstrating the potential of design thinking to 1) uncover common and distinct challenges in diverse communities, 2) translate findings into actionable solutions, and 3) design tailored interventions that are responsive to the context-specific needs of the community. Our study leads us to conclude that the integration of design thinking as a catalyst in community-based participatory research has the potential to amplify the identification of nuanced and previously unexamined challenges through empathetic exploration, and to propose innovative interventions that are more amenable to uptake and acceptance within the community.

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BACKGROUND: The threat of antimicrobial resistance is triggering the need for behavioural change towards antimicrobial use on Irish farms. Newly introduced veterinary medicine regulations are mandating the restricted and more prudent use of antimicrobials in the animal health sector. The need to reduce antimicrobials has placed a greater emphasis on the importance of animal health testing, however, issues with current testing practices are affecting diagnosis and subsequent drug usage. There is potential for digital technologies to address these issues and reduce antimicrobial use on farms, however, for these tools to be successful, they would need to be developed in collaboration with future end users. RESULTS: Using qualitative approaches (focus groups), this study engages with dairy farmers and farm veterinary practitioners to detail current challenges with animal health diagnosis and to explore the initial development of a rapid, on-farm animal health testing tool to address these challenges. Issues with timing and testing, the role of knowledge and experience, and veterinarian availability all affect the ability of farmers and veterinarians to diagnose animal health issues on farm. These issues are having negative implications including the increased and unnecessary use of antimicrobials. An on-farm testing tool would help mitigate these effects by allowing veterinarians to achieve rapid diagnosis, facilitating the timely and targeted treatment of animal illnesses, helping to reduce overall antimicrobial use on farms. However, engagement with end users has highlighted that if a tool like this is not developed correctly, it could have unintended negative consequences such as misdiagnosis, increased antimicrobial use, challenges to farmer-veterinarian relationships, and data misuse. This study outlines initial end user needs and requirements for a testing tool but suggests that in order to successfully design and develop this tool, co-design approaches such as Design Thinking should be applied; to mitigate future negative impacts, and to ensure a testing tool like this is designed specifically to address Irish dairy farmers and farm veterinarians' values and needs, ensuring responsible and successful uptake and use. CONCLUSIONS: Digital tools can be effective in reducing antimicrobial use on farms, however, to be successful, these tools should be designed in a user centred way.

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Design thinking (DT) is a five-stage process (empathize, define, ideate, prototype, and test) that guides the creation of user-centered solutions to complex problems. DT is in common use outside of science but has rarely been applied to anatomical education. The use of DT in this study identified the need for flexible access to anatomical specimens outside of the anatomy laboratory and guided the creation of a digital library of three-dimensional (3D) anatomical specimens (3D Anatomy Viewer). To test whether the resource was fit for purpose, a mixed-methods student evaluation was undertaken. Student surveys (n = 46) were employed using the system usability scale (SUS) and an unvalidated acceptability questionnaire. These verified that 3D Anatomy Viewer was usable (SUS of 72%) and acceptable (agreement range of 77%-93% on all Likert-type survey statements, Cronbach's alpha = 0.929). Supplementary interviews (n = 5) were analyzed through content analysis and revealed three main themes: (1) a credible online supplementary learning resource; (2) learning anatomy with 3D realism and interactivity; (3) user recommendations for expanding the number of anatomical models, test questions, and gamification elements. These data demonstrate that a DT framework can be successfully applied to anatomical education for creation of a practical learning resource. Anatomy educators should consider employing a DT framework where student-centered solutions to learner needs are required.

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Capitalizing on the widespread adoption of smartphones among farmers and the application of artificial intelligence in computer vision, a variety of mobile applications have recently emerged in the agricultural domain. This paper introduces GranoScan, a freely available mobile app accessible on major online platforms, specifically designed for the real-time detection and identification of over 80 threats affecting wheat in the Mediterranean region. Developed through a co-design methodology involving direct collaboration with Italian farmers, this participatory approach resulted in an app featuring: (i) a graphical interface optimized for diverse in-field lighting conditions, (ii) a user-friendly interface allowing swift selection from a predefined menu, (iii) operability even in low or no connectivity, (iv) a straightforward operational guide, and (v) the ability to specify an area of interest in the photo for targeted threat identification. Underpinning GranoScan is a deep learning architecture named efficient minimal adaptive ensembling that was used to obtain accurate and robust artificial intelligence models. The method is based on an ensembling strategy that uses as core models two instances of the EfficientNet-b0 architecture, selected through the weighted F1-score. In this phase a very good precision is reached with peaks of 100% for pests, as well as in leaf damage and root disease tasks, and in some classes of spike and stem disease tasks. For weeds in the post-germination phase, the precision values range between 80% and 100%, while 100% is reached in all the classes for pre-flowering weeds, except one. Regarding recognition accuracy towards end-users in-field photos, GranoScan achieved good performances, with a mean accuracy of 77% and 95% for leaf diseases and for spike, stem and root diseases, respectively. Pests gained an accuracy of up to 94%, while for weeds the app shows a great ability (100% accuracy) in recognizing whether the target weed is a dicot or monocot and 60% accuracy for distinguishing species in both the post-germination and pre-flowering stage. Our precision and accuracy results conform to or outperform those of other studies deploying artificial intelligence models on mobile devices, confirming that GranoScan is a valuable tool also in challenging outdoor conditions.

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BACKGROUND: Cyclic vomiting syndrome (CVS) is an enigmatic and debilitating disorder of gut-brain interaction that is characterized by recurrent episodes of severe vomiting and nausea. It significantly impairs patients' quality of life and can lead to frequent medical visits and substantial health care costs. The diagnosis for CVS is often protracted and complex, primarily due to its exclusionary diagnosis nature and the lack of specific biomarkers. This typically leads to a considerable delay in accurate diagnosis, contributing to increased patient morbidity. Additionally, the absence of approved therapies for CVS worsens patient hardship and reflects the urgent need for innovative, patient-centric solutions to improve CVS management. OBJECTIVE: We aim to develop a digital patient assistant (DPA) for patients with CVS to address their unique needs, and iteratively enhance the technical features and user experience on the initial DPA versions. METHODS: The development of the DPA for CVS used a design thinking approach, prioritizing user needs. A literature review and Patient Advisory Board shaped the initial prototype, focusing on diagnostic support and symptom tracking. Iterative development, informed by the design thinking approach and feedback from patients with CVS and caregivers through interviews and smartphone testing, led to significant enhancements in user interaction and artificial intelligence integration. The final DPA's effectiveness was validated using the System Usability Scale and feedback questions, ensuring it met the specific needs of the CVS community. RESULTS: The DPA developed for CVS integrates an introductory bot, daily and weekly check-in bots, and a knowledge hub, all accessible via a patient dashboard. This multicomponent solution effectively addresses key unmet needs in CVS management: efficient symptom and impacts tracking, access to comprehensive disease information, and a digital health platform for disease management. Significant improvements, based on user feedback, include the implementation of artificial intelligence features like intent recognition and data syncing, enhancing the bot interaction and reducing the burden on patients. The inclusion of the knowledge hub provides educational resources, contributing to better disease understanding and management. The DPA achieved a System Usability Scale score of 80 out of 100, indicating high ease of use and relevance. Patient feedback highlighted the DPA's potential in disease management and suggested further applications, such as integration into health care provider recommendations for patients with suspected or confirmed CVS. This positive response underscores the DPA's role in enhancing patient engagement and disease management through a patient-centered digital solution. CONCLUSIONS: The development of this DPA for patients with CVS, via an iterative design thinking approach, offers a patient-centric solution for disease management. The DPA development framework may also serve to guide future patient digital support and research scenarios.

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Introduction: The process by which surgery residency programs select applicants is complex, opaque, and susceptible to bias. Despite attempts by program directors and educational researchers to address these issues, residents have limited ability to affect change within the process at present. Here, we present the results of a design thinking brainstorm to improve resident selection and propose this technique as a framework for surgical residents to creatively solve problems and generate actionable changes. Methods: Members of the Collaboration of Surgical Education Fellows (CoSEF) used the design thinking framework to brainstorm ways to improve the resident selection process. Members participated in one virtual focus group focused on identifying pain points and developing divergent solutions to those pain points. Pain points and solutions were subsequently organized into themes. Finally, members participated in a second virtual focus group to design prototypes to test the proposed solutions. Results: Sixteen CoSEF members participated in one or both focus groups. Participants identified twelve pain points and 57 potential solutions. Pain points and solutions were grouped into the three themes of transparency, fairness, and applicant experience. Members subsequently developed five prototype ideas that could be rapidly developed and tested to improve resident selection. Conclusions: The design thinking framework can help surgical residents come up with creative ideas to improve pain points within surgical training. Furthermore, this framework can supplement existing quantitative and qualitative methods within surgical education research. Future work will be needed to implement the prototypes devised during our sessions and turn them into complete interventions. Key message: In this paper, we demonstrate the results of a resident-led design thinking brainstorm on improving resident selection in which our team identified twelve pain points in resident selection, ideated 57 solutions, and developed five prototypes for further testing. In addition to sharing our results, we believe design thinking can be a useful framework for creative problem solving within surgical education.

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BACKGROUND: As the prevalence of eating disorders continues to increase, there is an urgent need to equip the emerging dietetics workforce to provide care to this growing population. The present study aimed to describe a five-step design thinking process that was applied to brainstorm ideas and develop and test solutions for consideration in the future. METHODS: A pragmatic, five-step design thinking approach was used during a 1-day, in-person design thinking retreat. Purposive sampling was used to identify key stakeholders, including subject matter, learning and teaching, as well as lived experience experts, dietetics students and recent graduates. Reflexive thematic analysis was used to analyse brainstormed and design solution ideas. RESULTS: Seventeen participants attended the design thinking retreat in April 2023. Four education prototypes were developed and tested by stakeholders including: (1) a change to accreditation requirements for dietetics curricula; (2) a multimodal learning package for penultimate year students; (3) embedding disordered eating and eating disorder content into existing curriculum and upskilling educators; and (4) codesigning an eating disorder module. CONCLUSIONS: The design thinking retreat engaged a variety of stakeholders in curriculum design resulting in an array of prototype approaches that aimed to embed eating disorder content into university curricula. Further research is needed to test the prototypes and understand what impact this has on dietetics students' feelings of preparedness to provide care to people seeking this support.

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Many public health challenges are characterized by complexity that reflects the dynamic systems in which they occur. Such systems involve multiple interdependent factors, actors, and sectors that influence health, and are a primary driver of challenges of insufficient implementation, sustainment, and scale of evidence-based public health interventions. Implementation science frameworks have been developed to help embed evidence-based interventions in diverse settings and identify key factors that facilitate or hinder implementation. These frameworks are largely static in that they do not explain the nature and dynamics of interrelationships among the identified determinants, nor how those determinants might change over time. Furthermore, most implementation science frameworks are top-down, deterministic, and linear, leaving critical gaps in understanding of both how to intervene on determinants of successful implementation and how to scale evidence-based solutions. Design thinking and systems science offer methods for transforming this problem-oriented paradigm into one that is solution-oriented. This article describes these two approaches and how they can be integrated into implementation science strategies to promote implementation, sustainment, and scaling of public health innovation, ultimately resulting in transformative systems changes that improve population health.

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AIMS: To co-create strategies and identify opportunities to integrate eating disorder content within dietetics curricula at one Australian university with stakeholders using a design thinking approach. METHODS: A pragmatic mixed-methods, participatory design approach was used. An online survey explored the learning needs of dietetic students and recent graduates regarding eating disorders. Following the survey, a one-day design thinking retreat was held with stakeholders who were identified from the research team's professional networks. Eating disorder dietitians, learning experts, dietetic students, graduates, and those with lived experience were asked to identify strategies to enhance students' confidence and competence to provide care for people living with eating disorders. Quantitative data were analysed using descriptive statistics and qualitative data were analysed using inductive coding and reflexive thematic analysis. RESULTS: Sixty-four students (n = 55, 86%) and recent graduates (n = 9, 14%) completed the online survey (26% response). Seventeen stakeholders attended the retreat. Four themes were identified: (1) changing perceptions of eating disorder care from specialist to 'core business'; (2) desiring and advocating for a national change to dietetics curricula; (3) importance of lived experience at the centre of curriculum design and delivery; and (4) collaborating to co-design and deliver eating disorder content at university. CONCLUSION: Raising awareness, upskilling students and educators, enhanced collaboration between universities and stakeholders, and the inclusion of lived experience were key to preparing students to provide care to people seeking support for eating disorders. Further research is needed to assess the impact these strategies have on dietetic students' confidence and competence.

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BACKGROUND: Government-led, population-wide initiatives are crucial for advancing the management of hypertension - a leading cause of cardiovascular disease (CVD) morbidity and mortality. An urban population health initiative was conducted against this backdrop, focussing on hypertension in the primary health system in São Paulo, Brazil. Within the frame of the initiative and under the supervision and leadership of the municipal health authorities, a situational analysis was conducted on the needs in hypertension management, marking the first phase of a Design Thinking process. This article describes the situational analysis process and presents the identified elements to be strengthened considering hypertension diagnosis, treatment and control. METHODS: First, a mixed-methods approach was used, starting with a literature review of municipal hypertension data followed by meetings (N = 20) with the local public health administration to assess health system level components. To investigate activities on hypertension diagnosis, treatment and control, nine primary healthcare units were selected from two districts of São Paulo city- Itaquera and Penha- which received an online form addressed to managers, participated in conversation circles of staff and patients, and underwent shadowing of community health agents. RESULTS: Data gave rise to two main outputs: (i) a patient care journey map; and (ii) a matrix summarizing the identified needs at patient, healthcare professional and health system level for diagnosis, treatment and control of hypertension. Patient awareness and knowledge of hypertension was found to be insufficient and its management needs to be improved. For health professionals, disease awareness, technical training, more time dedicated to patients, and simplified guidelines and clinical decision-making tools for hypertension management were identified as principal needs. The situational analysis found that the healthcare systems efficiency might be improved by establishing defined treatment and care delivery goals with a focus on outcomes and implemented through action plans. CONCLUSIONS: This situational analysis identified several needs related to hypertension control in São Paulo that are in line with global challenges to improve the control of CVD risk factors. Findings were also confirmed locally in an expansion phase of this situational analysis to additional primary care facilities. As a consequence, solutions were designed, promptly taken up and implemented by the municipal health secretariat.

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BACKGROUND: Globally, cancer predominates in adults aged older than 60 years, and 70% of older adults have ≥1 chronic condition. Cancer self-management interventions can improve symptom management and confidence, but few interventions target the complex needs of older adults with cancer and multimorbidity. Despite growing evidence of digital health tools in cancer care, there is a paucity of theoretically grounded digital self-management supports for older adults. Many apps for older adults have not been co-designed with older adults to ensure that they are tailored to their specific needs, which would increase usability and uptake. OBJECTIVE: We aim to report on the user evaluations of a self- and symptom-management app to support older adults living with cancer and multimorbidity. METHODS: This study used Grey's self-management framework, a design thinking approach, and involved older adults with lived experiences of cancer to design a medium-fidelity app prototype. Older adults with cancer or caregivers were recruited through community organizations or support groups to participate in co-designing or evaluations of the app. Data from interviews were iteratively integrated into the design process and analyzed using descriptive statistics and thematic analyses. RESULTS: In total, 15 older adults and 3 caregivers (n=18) participated in this study: 10 participated (8 older adults and 2 caregivers) in the design of the low-fidelity prototype, and 10 evaluated (9 older adults and 1 caregiver) the medium-fidelity prototype (2 older adults participated in both phases). Participants emphasized the importance of tracking functions to make sense of information across physical symptoms and psychosocial aspects; a clear display; and the organization of notes and reminders to communicate with care providers. Participants also emphasized the importance of medication initiation or cessation reminders to mitigate concerns related to polypharmacy. CONCLUSIONS: This app has the potential to support the complex health care needs of older adults with cancer, creating a "home base" for symptom management and support. The findings from this study will position the researchers to conduct feasibility testing and real-world implementation.

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