Using mHealth to reduce disparities in Black maternal health: Perspectives from Black rural postpartum mothers.

BACKGROUND: Racial disparities are evident in maternal morbidity and mortality rates globally. Black women are more likely to die from pregnancy and childbirth than any other race or ethnicity. This leaves one of the largest gaps in women's health to date. OBJECTIVES: mHealth interventions that connect with women soon after discharge may assist in individualizing and formalizing support for mothers in the early postpartum period. To aid in developing an mHealth application, Black postpartum mothers' perspectives were examined. DESIGN: Utilizing the Sojourner Syndrome Framework and Maternal Mortality & Morbidity Measurement Framework, group interview discussion guides were developed to examine the facilitators and barriers of postpartum transitional care for rural Black women living in the United States to inform the development of a mobile health application. METHODS: In this study, seven group interviews were held with Black mothers, their support persons, and healthcare providers in rural Georgia to aid in the development of the Prevent Maternal Mortality Using Mobile Technology (PM3) mobile health (mHealth) application. Group interviews included questions about (1) post-birth experiences; (2) specific needs (e.g. clinical, social support, social services, etc.) in the postpartum period; (3) perspectives on current hospital discharge processes and information; (4) lived experiences with racism, classism, and/or gender discrimination; and (5) desired features and characteristics for the mobile app development. RESULTS: Fourteen out of the 78 screened participants were eligible and completed the group interview. Major discussion themes included: accessibility to healthcare and resources due to rurality, issues surrounding race and perceived racism, mental and emotional well-being in the postpartum period, and perspectives on the PM3 mobile application. CONCLUSION: Participants emphasized the challenges that postpartum Black women face in relation to accessibility, racism and discrimination, and mental health. The women favored a culturally relevant mHealth tool and highlighted the need to tailor the application to address disparities.

Examining the Perceptions of mHealth on Racial and Ethnic Disparities in Postpartum Health for Black Women: A Scoping Review.

Background. Several disparities exist for Black mothers during the postpartum period, including but not limited to increased maternal mortality and morbidity rates, decreased access to care, and limited access to resources. Given the racial discrepancies in attention to postpartum care, coupled with the critical importance of the postpartum period for preventing adverse maternal health outcomes, research is warranted to explore how mobile health (mHealth) applications may help to alleviate maternal health disparities by optimizing postpartum care and addressing barriers to care for postpartum Black women. Thus, this review examines the perceptions of mHealth applications and their utility in health outcomes among postpartum Black women. Methods. We undertook a comprehensive literature search using PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines. We included peer-reviewed articles published between 2010 and 2022 that were written in English, utilized mHealth as a primary intervention, and focused on postpartum health and access to resources, primarily among Black women in the United States. Results. A total of eight articles were included in our synthesis, encompassing mobile phone-based interventions for Black women. Cultural tailoring was included in five studies. Interventions that incorporated tailored content and fostered interactions reported high rates of follow-up. Conclusions. Tailored mHealth interventions can effectively promote behavior change and improve health care outcomes for Black women. However, there is a critical need for more research to assess user engagement and retention and whether these improvements indicate long-term sustainability.

"I care about sex, I care about my health": A mixed-methods pre-test of a HIV prevention mobile health app for Black women in the southern United States.

BACKGROUND: Black women experience higher rates of adverse sexual and reproductive health and HIV outcomes, however the use of mHealth to address these health disparities in this population has been inadequate. This study involved a one-month pre-test with Black women living in metro-Atlanta to evaluate the usability, acceptability, and engagement of an HIV prevention app SavvyHER. METHODS: An explanatory mixed-methods design was employed in which quantitative data was collected through weekly cross-sectional surveys, and qualitative data was collected through semi-structured in-depth interviews. Descriptive and ANOVA analysis was conducted for the quantitative data using STATA software. Qualitative data was analyzed through qualitative descriptive methods on Atlas.ti. RESULTS: Participants had high levels of acceptability towards the app and used SavvyHER moderately. The most frequently used features were live groups (2.96 ±0.22, 95% CI 2.51,3.41), viewing resources and educational information (2.77 ± 0.21, 95% CI 2.33,3.20), and mental health monitoring (2.73 ±0.21, 95% CI 2.29,3.12). The least used features were pregnancy symptom monitoring (1.92 ±0.27, 95% CI 1.38,2.47) and STI symptom monitoring (2.0 ±0.25, 95% CI 1.48,2.52). In qualitative interviews, several women discussed how the ability to engage in active discussions and join live sessions with other end-users was a favorable aspect of SavvyHER. Although the app's primary focus was on sexual and reproductive health and HIV prevention, women were more likely to access mental health monitoring and physical activity monitoring features. Women expressed their fondness of the app design and interface as it was reflective of the diversity of Black women. CONCLUSION: Further research is needed to explore the efficacy in using SavvyHER and additional mHealth interventions to enhance Black women's sexual and reproductive health and overall wellness.

Digital Health App to Address Disparate HIV Outcomes Among Black Women Living in Metro-Atlanta: Protocol for a Multiphase, Mixed Methods Pilot Feasibility Study.

BACKGROUND: Cisgender Black women in the southern United States are at heightened risk for HIV and adverse sexual and reproductive health outcomes. Mobile health interventions that target HIV risk while being adapted to the needs and lived experiences of Black women are remarkably limited. OBJECTIVE: The study aims to refine SavvyHER, a mobile app for HIV prevention, with Black women residing in high HIV incidence areas of Georgia and evaluate the feasibility, acceptability, and usability of SavvyHER. This paper describes the procedures implemented to conduct this research. METHODS: Community-based participatory research tenets guide this multiphase study to finalize the development of what we hypothesize will be an effective, sustainable, and culturally relevant HIV prevention and optimal sexual health and reproductive wellness app for Black women. This multiphased, mixed methods study consists of 3 phases. The first phase entails focus groups with Black women to understand their preferences for the functionality and design of a beta prototype version of SavvyHER. In the second phase, an app usability pretest (N=10) will be used to refine and optimize the SavvyHER app. The final phase will entail a pilot randomized controlled trial (N=60) to evaluate the app's feasibility and usability in preparation for a larger trial. RESULTS: Findings from preliminary focus groups revealed educational content, app aesthetics, privacy considerations, and marketing preferred by Black women, thus informing the first functional SavvyHER prototype. As we adapt and test the feasibility of SavvyHER, we hypothesize that the app will be an effective, sustainable, and culturally relevant HIV prevention, sexual health, and reproductive wellness tool for Black women. CONCLUSIONS: The findings from this research substantiate the importance of developing health interventions curated for and by Black women to address critical HIV disparities. The knowledge gained from this research can reduce HIV disparities among Black women through a targeted intervention that centers on their health needs and priorities. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/42712.

Mobile Phone Apps for HIV Prevention Among College-Aged Black Women in Atlanta: Mixed Methods Study and User-Centered Prototype.

BACKGROUND: Black women in college are disproportionately affected by HIV diagnoses. Mobile apps can facilitate the innovative delivery of accurate HIV and sexual and reproductive health information. However, mobile health interventions are severely underused in this population. OBJECTIVE: We aimed to quantitatively and qualitatively explore the perspectives of college-aged Black women on using a mobile health app for HIV prevention and sexual and reproductive health. The data obtained from Black women were used to design preliminary mobile app wireframes and features. METHODS: This explanatory, sequential mixed methods study took place from 2019 to 2020 and targeted Black women who were enrolled in college or who had recently graduated from college. Convenience sampling was used during the quantitative phase, followed by purposive sampling in the qualitative phase. A cross-sectional web-based survey evaluating the willingness to use a mobile app for HIV prevention was conducted in the quantitative phase. Descriptive statistics were used for all variables. A separate focus group discussion was conducted with Black women in college to expand on the quantitative results. Focus group discussions explored their perceptions on HIV and health content delivered through a mobile app along with potential features that participants desired within the app. Using the data obtained, we selected the primary features for the app prototype. RESULTS: In total, we enrolled 34 participants in the survey, with 6 participating in focus group discussions. Over half of the respondents reported a willingness to use an app that contained pre-exposure prophylaxis content. Women who claimed recent sexual activity reported being more likely to use an app feature that would allow them to order an at-home HIV testing kit than their non-sexually active counterparts. The emerging themes from the focus group session were Black women's health concerns, HIV risk, sources of health information, and preferred app features. The content in our prototype included speaking with a specialist, HIV and pre-exposure prophylaxis information, holistic wellness, and features promoting engagement and retention. CONCLUSIONS: The results of our study guided the design of wireframes for an app prototype targeting HIV prevention in college-aged Black women. The rapid growth of mobile devices in Black communities, coupled with high rates of smartphone ownership among Black youth, makes mobile health interventions a promising strategy for addressing sexual and reproductive health disparities. Participants in our sample were willing to use a culturally appropriate and gender-considerate app for their sexual health needs. Our findings indicate that Black women in college may be excellent candidates for mobile app-based interventions.

Prevalence and predictors of symptoms of Perinatal Mood and anxiety Disorders among a sample of Urban Black Women in the South.

OBJECTIVES: Data are scarce regarding the prevalence and predictors of perinatal mood and anxiety disorders (PMADs) among Black women. The purpose of this study was to examine the prevalence and predictors of symptoms of PMADS among Black women. METHODS: Black women completed a paper survey between August 2019 and October 2019. Binomial logistic regression was employed to examine predictors of PMAD symptoms. RESULTS: The prevalence of symptoms of PMADs was 56%. A higher proportion of women with PMADs had experienced depression (16% vs. 32%, p = 0.006); physical (18% vs. 31%, p = 0.030), emotional (35% vs. 61%, p = 0.000), or sexual abuse (12% vs. 29%, p = 0.002); and symptoms of depression or anxiety before pregnancy (18% vs. 46%, p = 0.000). After adjusting for socio-demographics in multivariate analysis, experiencing symptoms of depression or anxiety before pregnancy (adjusted odds ratio [aOR] = 3.445, p = 0.001) was positively associated with experiencing symptoms of PMADs, whereas higher levels of self-esteem (aOR = 0.837, p = 0.000) were negatively associated with experiencing symptoms of perinatal mood and anxiety disorders. CONCLUSIONS FOR PRACTICE: The prevalence of PMAD symptoms among this sample of Black women was alarmingly high. Women who experienced PMADs were more likely to report adverse childhood experiences (e.g., physical, emotional, and/or sexual abuse). By understanding the prevalence of PMADs and the factors associated with these disorders, healthcare professionals can improve diagnosis and treatment rates among this understudied and underserved population.

An Open-Source Privacy-Preserving Large-Scale Mobile Framework for Cardiovascular Health Monitoring and Intervention Planning With an Urban African American Population of Young Adults: User-Centered Design Approach.

BACKGROUND: Cardiovascular diseases (CVDs) are the leading cause of death worldwide and are increasingly affecting younger populations, particularly African Americans in the southern United States. Access to preventive and therapeutic services, biological factors, and social determinants of health (ie, structural racism, resource limitation, residential segregation, and discriminatory practices) all combine to exacerbate health inequities and their resultant disparities in morbidity and mortality. These factors manifest early in life and have been shown to impact health trajectories into adulthood. Early detection of and intervention in emerging risk offers the best hope for preventing race-based differences in adult diseases. However, young-adult populations are notoriously difficult to recruit and retain, often because of a lack of knowledge of personal risk and a low level of concern for long-term health outcomes. OBJECTIVE: This study aims to develop a system design for the MOYO mobile platform. Further, we seek to addresses the challenge of primordial prevention in a young, at-risk population (ie, Southern-urban African Americans). METHODS: Urban African Americans, aged 18 to 29 years (n=505), participated in a series of co-design sessions to develop MOYO prototypes (ie, HealthTech Events). During the sessions, participants were orientated to the issues of CVD risk health disparities and then tasked with wireframing prototype screens depicting app features that they considered desirable. All 297 prototype screens were subsequently analyzed using NVivo 12 (QSR International), a qualitative analysis software. Using the grounded theory approach, an open-coding method was applied to a subset of data, approximately 20% (5/25), or 5 complete prototypes, to identify the dominant themes among the prototypes. To ensure intercoder reliability, 2 research team members analyzed the same subset of data. RESULTS: Overall, 9 dominant design requirements emerged from the qualitative analysis: customization, incentive motivation, social engagement, awareness, education, or recommendations, behavior tracking, location services, access to health professionals, data user agreements, and health assessment. This led to the development of a cross-platform app through an agile design process to collect standardized health surveys, narratives, geolocated pollution, weather, food desert exposure data, physical activity, social networks, and physiology through point-of-care devices. A Health Insurance Portability and Accountability Act-compliant cloud infrastructure was developed to collect, process, and review data, as well as generate alerts to allow automated signal processing and machine learning on the data to produce critical alerts. Integration with wearables and electronic health records via fast health care interoperability resources was implemented. CONCLUSIONS: The MOYO mobile platform provides a comprehensive health and exposure monitoring system that allows for a broad range of compliance, from passive background monitoring to active self-reporting. These study findings support the notion that African Americans should be meaningfully involved in designing technologies that are developed to improve CVD outcomes in African American communities.

Preventing Cardiovascular Disease Among Urban African Americans With a Mobile Health App (the MOYO App): Protocol for a Usability Study.

BACKGROUND: Cardiovascular disease (CVD) disparities are a particularly devastating manifestation of health inequity. Despite advancements in prevention and treatment, CVD is still the leading cause of death in the United States. Additionally, research indicates that African American (AA) and other ethnic-minority populations are affected by CVD at earlier ages than white Americans. Given that AAs are the fastest-growing population of smartphone owners and users, mobile health (mHealth) technologies offer the unparalleled potential to prevent or improve self-management of chronic disease among this population. OBJECTIVE: To address the unmet need for culturally tailored primordial prevention CVD-focused mHealth interventions, the MOYO app was cocreated with the involvement of young people from this priority community. The overall project aims to develop and evaluate the effectiveness of a novel smartphone app designed to reduce CVD risk factors among urban-AAs, 18-29 years of age. METHODS: The theoretical underpinning will combine the principles of community-based participatory research and the agile software development framework. The primary outcome goals of the study will be to determine the usability, acceptability, and functionality of the MOYO app, and to build a cloud-based data collection infrastructure suitable for digital epidemiology in a disparity population. Changes in health-related parameters over a 24-week period as determined by both passive (eg, physical activity levels, sleep duration, social networking) and active (eg, use of mood measures, surveys, uploading pictures of meals and blood pressure readings) measures will be the secondary outcome. Participants will be recruited from a majority AA "large city" school district, 2 historically black colleges or universities, and 1 urban undergraduate college. Following baseline screening for inclusion (administered in person), participants will receive the beta version of the MOYO app. Participants will be monitored during a 24-week pilot period. Analyses of varying data including social network dynamics, standard metrics of activity, percentage of time away from a given radius of home, circadian rhythm metrics, and proxies for sleep will be performed. Together with external variables (eg, weather, pollution, and socioeconomic indicators such as food access), these metrics will be used to train machine-learning frameworks to regress them on the self-reported quality of life indicators. RESULTS: This 5-year study (2015-2020) is currently in the implementation phase. We believe that MOYO can build upon findings of classical epidemiology and longitudinal studies like the Jackson Heart Study by adding greater granularity to our knowledge of the exposures and behaviors that affect health and disease, and creating a channel for outreach capable of launching interventions, clinical trials, and enhancements of health literacy. CONCLUSIONS: The results of this pilot will provide valuable information about community cocreation of mHealth programs, efficacious design features, and essential infrastructure for digital epidemiology among young AA adults. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/16699.

Health Policy Engagement Strategy for the Health Information Technology Policy Project of the Transdisciplinary Collaborative Center for Health Disparities Research.

Rulemaking is one of the most important ways the federal government makes public policy. It frequently has significant impact on individuals, communities, and organizations. Yet, few of those directly affected are familiar with the rulemaking process, and even fewer understand how it works. This article describes a case study of the Transdisciplinary Collaborative Center for Health Disparities Research Health Information Technology (TCC HIT) Policy Project's approach to health-policy engagement using: 1) social media; and 2) a webinar to educate stakeholders on the rulemaking process and increase their level of meaningful engagement with the Medicare Access and CHIP Reauthorization Act of 2015 (MACRA) proposed rule public comment submission. The webinar "Paying for Quality: What Is the Impact on Health Equity" was promoted through Twitter and held in June 2016. In total, we posted 19 tweets using two distinct hashtags (#MACRA4Equity, #MACRA2Equity) to raise awareness of the upcoming MACRA proposed rule and its possible effects on health equity. Overall, 252 individuals registered for the webinar, and more than half participated (n=133). Most (67%) registrants reported that health policy was not the primary focus of their current position. Based on information provided in the webinar, 95% agreed that their understanding of the topic improved. By the end of the webinar, 44% of participants indicated that they planned to submit public comments for MACRA, a 12% increase compared with those who planned to submit at the time of registration. The TCC health-policy engagement strategy demonstrates the feasibility of engaging a diverse audience around health policy issues, particularly those who are not typically engaged in policy work.