Introduction: Cardiovascular disease (CVD) remains the leading cause of death for women in the US, yet many young women are unaware of their lifetime risk of CVD. We employed user-centered design principles to adapt a validated CVD risk prediction tool for young women. Hypothesis: We hypothesized that young women would rate the tool (HerHeart) as user-friendly, be likely to recommend it to their friends, experience a change in their perceived risk of CVD, and report intent to change their health habits after engaging with it. Methods: We recruited 13 young women ages 13-21 from two clinical practices in Atlanta, GA to engage with the HerHeart CVD risk prediction tool. Participants rated the tool’s usability via the Website Analysis and Measurement Inventory (WAMMI), which is scored from 0 to 100. Participants rated their perceived 10-year and lifetime risk of CVD on a visual analog scale from 0 (Never going to happen) to 10 (Definitely will happen) before and after completing the tool. Participants reported their likelihood of recommending the tool to their friends and changing their health habits from 0 (Not likely at all) to 10 (Extremely likely). Results: Participants rated the tool’s usability highly on the WAMMI (M = 78.62 +/- 9.70). Participants’ perceived 10-year risk of a heart attack increased from a mean of 0.85 +/- 0.99 to 1.83 +/- 1.90, and perceived lifetime risk increased from a mean of 2.38 +/- 2.72 to 2.75 +/- 2.63, on the 10-point scale after engaging with the tool. Participants were more than likely to recommend HerHeart to their friends (M = 8.00 +/- 2.22) and to report intent to change their health habits (M = 8.82 +/- 1.47) after completing the tool. Participant data captured in the HerHeart tool are shown in the Table. Conclusions: The HerHeart tool is acceptable to young women and demonstrates potential for changing their risk perception and improving their health habits to reduce their risk of CVD. Recruitment is ongoing and will include input from clinicians on the feasibility of incorporating the tool in clinical practice.

Background Maternal mortality in the United States is a public health crisis and national emergency. Missed or delayed recognition of preventable life-threatening symptoms and untimely treatment of preventable high-risk medical conditions have been cited as key contributors to the nation’s worsening mortality rates. Effective strategies are urgently needed to address this maternal health crisis, particularly for Black birthing populations. Morbidity and Mortality Assessment: Lifting Outcomes Via Education (MAMA LOVE) is a web-based platform that focuses on the identification of maternal morbidity and mortality risk factors. Objective The purpose of this paper is to present the conceptualization, development, heuristics, and utility evaluation of the web-based maternal mortality risk assessment and educational tool MAMA LOVE. Methods A user-centered design approach was used to gain feedback from clinical experts and potential end users to ensure that the tool would be effective among groups most at risk for maternal morbidity and mortality. A heuristic evaluation was conducted to evaluate usability and need within the current market. Algorithms describing key clinical, mental health, and social conditions were designed using digital canvas software (Miro) and incorporated into the final wireframes of the revised prototype. The completed version of MAMA LOVE was designed in Figma and built with the SurveyJS platform. Results The creation of the MAMA LOVE tool followed three distinct phases: (1) the content development and creation of an initial prototype; (2) the feedback gathering and usability assessment of the prototype; and (3) the design, development, and testing of the final tool. The tool determines the corresponding course of action using the algorithm developed by the authors. A total of 38 issues were found in the heuristic evaluation of the web tool’s initial prototype. Conclusions Maternal morbidity and mortality is a public health crisis needing immediate effective interventions. In the current market, there are few digital resources available that focus specifically on the identification of dangerous symptoms and risk factors. MAMA LOVE is a tool that can address that need by increasing knowledge and providing resources and information that can be shared with health care professionals.

Background: At least 5-10% of malignancies occur secondary to an underlying cancer predisposition syndrome (CPS). For patients with a CPS, cancer surveillance is recommended with the goal of identifying malignancy earlier, in a presumably more curable form. Surveillance protocols, including imaging studies, lab work, and procedures, can be complex, differing based on age, gender, and syndrome, which may adversely affect adherence. Mobile health (mHealth) applications have been utilized in the oncology field and could help to facilitate adherence to cancer surveillance protocols. Methods: Applying a user-centered mobile app design approach, patients with a CPS and/or primary caregivers were interviewed to identify current methods for care management and barriers to compliance with recommended surveillance protocols. Broad themes from these interviews informed the design of the mobile app, HomeTown, subsequently evaluated by usability experts. The design was then converted into software code in phases, evaluated by patients and caregivers in an iterative fashion. User population growth and app usage data were assessed. Results: Common themes identified include general distress surrounding surveillance protocol scheduling and results, difficulty remembering medical history, assembling a care team, and seeking resources for self-education. These themes were translated into specific functional app features including push reminders, syndrome-specific surveillance recommendations, ability to annotate visits and results, storage of medical histories, and links to reliable educational resources. Conclusions: Families with CPS demonstrate a desire for mHealth tools to facilitate adherence to cancer surveillance protocols, reduce related distress, relay medical information, and provide educational resources. HomeTown may be a useful tool for engaging this patient population.

Background Cardiovascular disease (CVD) is the leading cause of death among women in the United States. A considerable number of young women already have risk factors for CVD. Awareness of CVD and its risk factors is critical to preventing CVD, yet younger women are less aware of CVD prevalence, its risk factors, and preventative behaviors compared to older women. Objective The purpose of this study is to assess CVD awareness among adolescent and young adult women and develop a lifestyle-based cardiovascular risk assessment tool for the promotion of CVD awareness among this population. Methods This study used a 3-phase iterative design process with young women and health care practitioners from primary care and reproductive care clinics in Atlanta, Georgia. In phase 1, we administered a modified version of the American Heart Association Women’s Health Survey to young women, aged 15-24 years (n=67), to assess their general CVD awareness. In phase 2, we interviewed young women, aged 13-21 years (n=10), and their health care practitioners (n=10), to solicit suggestions for adapting the Healthy Heart Score, an existing adult cardiovascular risk assessment tool, for use with this age group. We also aimed to learn more about the barriers and challenges to health behavior change within this population and the clinical practices that serve them. In phase 3, we used the findings from the first 2 phases to create a prototype of a new online cardiovascular risk assessment tool designed specifically for young women. We then used an iterative user-centered design process to collect feedback from approximately 105 young women, aged 13-21 years, as we adapted the tool. Results Only 10.5% (7/67) of the young women surveyed correctly identified CVD as the leading cause of death among women in the United States. Few respondents reported having discussed their personal risk (4/67, 6%) or family history of CVD (8/67, 11.9%) with a health care provider. During the interviews, young women reported better CVD awareness and knowledge after completing the adult risk assessment tool and suggested making the tool more teen-friendly by incorporating relevant foods and activity options. Health care practitioners emphasized shortening the assessment for easier use within practice and discussed other barriers adolescents may face in adopting heart-healthy behaviors. The result of the iterative design process was a youth-friendly prototype of a cardiovascular risk assessment tool. Conclusions Adolescent and young adult women demonstrate low awareness of CVD. This study illustrates the potential value of a cardiovascular risk assessment tool adapted for use with young women and showcases the importance of user-centered design when creating digital health interventions.

BACKGROUND Maternal mortality in the United States is a public health crisis and national emergency. Missed or delayed recognition of preventable life-threatening symptoms and untimely treatment of preventable high-risk medical conditions have been cited as key contributors to the nation’s worsening mortality rates. The development of effective strategies are urgently needed to address this maternal health crisis, particularly among Black birthing populations. MAMA LOVE (Morbidity and Mortality Assessment: Lifting Outcomes Via Education) is a web-based platform that focuses on the identification of maternal morbidity and mortality risk factors. OBJECTIVE The purpose of this paper is to present the conceptualization, development, heuristics, and utility evaluation of the web-based maternal mortality risk assessment and educational tool, MAMA LOVE. METHODS Algorithms describing key clinical, mental health, and social conditions were designed utilizing digital canvas software (Miro) and incorporated into the final wireframes of the initial prototype. A user-centered design approach was used to gain feedback from potential end users to ensure that the tool would be effective among groups most at risk for maternal morbidity and mortality. A market analysis and heuristic evaluation were conducted to evaluate useability and need within the current market. RESULTS MAMA LOVE was designed in Figma and built with the SurveyJS platform. The tool determines the corresponding course of action using the algorithm developed by the authors. 38 issues were found in the heuristic evaluation of the web tool's initial prototype. Market analysis identified 5 web-based applications with a maternal health disparity focus, however MAMA love was found to be unique due to the feature related to provision of resources based on user-centered information. CONCLUSIONS Maternal morbidity and mortality is a public health crisis needing immediate effective interventions. MAMA LOVE is a tool that can address that need by increasing knowledge, providing resources, and providing information that can be shared with healthcare professionals. CLINICALTRIAL n/a