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BackgroundCoronary heart disease (CHD) is the leading cause of death and disability among American women. The prevalence of CHD is expected to increase by more than 40% by 2035. In 2015, the estimated cost of caring for patients with CHD was US $182 billion in the United States; hospitalizations accounted for more than half of the costs. Compared with men, women with CHD or those who have undergone coronary revascularization have up to 30% more rehospitalizations within 30 days and up to 1 year. Center-based cardiac rehabilitation is the gold standard of care after an acute coronary event, but few women attend these valuable programs. Effective home-based interventions for improving cardiovascular health among women with CHD are vital for addressing this gap in care. ObjectiveThe ubiquity of mobile phones has made mobile health (mHealth) behavioral interventions a viable option to improve healthy behaviors of both women and men with CHD. First, this study aimed to examine the usability of a prototypic mHealth intervention designed specifically for women with CHD (herein referred to as HerBeat). Second, we examined the influence of HerBeat on selected health behaviors (self-efficacy for diet, exercise, and managing chronic illness) and psychological (perceived stress and depressive symptoms) characteristics of the participants. MethodsUsing a single-group, pretest, posttest design, 10 women participated in the 12-week usability study. Participants were provided a smartphone and a smartwatch on which the HerBeat app was installed. Using a web portal dashboard, a health coach monitored participants’ ecological momentary assessment data, their behavioral data, and their heart rate and step count. Participants then completed a 12-week follow-up assessment. ResultsAll 10 women (age: mean 64.4 years, SD 6.3 years) completed the study. The usability and acceptability of HerBeat were good, with a mean system usability score of 83.60 (SD 16.3). The participants demonstrated statistically significant improvements in waist circumference (P=.048), weight (P=.02), and BMI (P=.01). Furthermore, depressive symptoms, measured with the Patient Health Questionnaire-9, significantly improved from baseline (P=.04). ConclusionsThe mHealth prototype was feasible and usable for women with CHD. Participants provided data that were useful for further development of HerBeat. The mHealth intervention is expected to help women with CHD self-manage their health behaviors. A randomized controlled trial is needed to further verify the findings.

A more equal and sustainable digital future depends on the inclusion of digitally marginalized communities in the socioeconomic opportunities created by digital technologies. Digital inclusion is a complex process that involves all stages of digital innovation, including development, adoption, use, and maintenance. However, past research has largely approached digital inclusion as an adoption and use challenge. In this paper, we develop a view of digital inclusion as a design challenge. We focus on the activities of requirements elicitation (RE) as a critical element of the design process and draw on a design-based interpretive study involving the design of two mobile apps for agricultural communities in India and China. We analyze how the conditions of digital inequality underlying the digital marginalization of these communities affect their sensemaking as they participate in RE activities. We conceptualize these challenges as limitations on the emergence of technology affordances. Our findings reveal various shifts, or translations, in the emerging affordances, which enabled the RE activities to be more generative and consequently more inclusive. These affordance translations manifested along three main dimensions: specificity, temporality, and collectivity. We discuss the implications of these findings for the inclusion of marginalized communities in the design of new technologies. [ABSTRACT FROM AUTHOR]

Purpose: The aim of this study was to evaluate the effects of a mobile health (mHealth) intervention, HerBeat, compared with educational usual care (E-UC) for improving exercise capacity (EC) and other patient-reported outcomes at 3 mo among women with coronary heart disease., Methods: Women were randomized to the HerBeat group (n = 23), a behavior change mHealth intervention with a smartphone, smartwatch, and health coach or to the E-UC group (n = 24) who received a standardized cardiac rehabilitation workbook. The primary endpoint was EC measured with the 6-min walk test (6MWT). Secondary outcomes included cardiovascular disease risk factors and psychosocial well-being., Results: A total of 47 women (age 61.2 ± 9.1 yr) underwent randomization. The HerBeat group significantly improved on the 6MWT from baseline to 3 mo ( P = .016, d = .558) while the E-UC group did not ( P = .894, d =-0.030). The between-group difference of 38 m at 3 mo was not statistically significant. From baseline to 3 mo, the HerBeat group improved in anxiety ( P = .021), eating habits confidence ( P = .028), self-efficacy for managing chronic disease ( P = .001), diastolic blood pressure ( P = .03), general health perceptions ( P = .047), perceived bodily pain ( P = .02), and waist circumference ( P = .008) while the E-UC group showed no improvement on any outcomes., Conclusions: The mHealth intervention led to improvements in EC and several secondary outcomes from baseline to 3 mo while the E-UC intervention did not. A larger study is required to detect small differences between groups. The implementation and outcomes evaluation of the HerBeat intervention was feasible and acceptable with minimal attrition., Competing Interests: The authors declare no conflicts of interest., (Copyright © 2023 Wolters Kluwer Health, Inc. All rights reserved.)