Community-Based, Cluster-Randomized Pilot Trial of a Cardiovascular Mobile Health Intervention: Preliminary Findings of the FAITH! Trial

Bridging the Gap: How Accounting for Social Determinants of Health Can Improve Digital Health Equity in Cardiovascular Medicine

PURPOSE OF REVIEW

In this review, we discuss the importance of digital health equity and how social determinants of health (and intersectionality with race, ethnicity, and gender) affect cardiovascular health-related outcomes in digital health trials. We propose strategies to improve digital health equity as we move to a digitally-connected world for healthcare applications and beyond.

RECENT FINDINGS

Digital health has immense promise to improve population health by reaching individuals in their homes, at their preferred times. However, initial data demonstrate decreased patient engagement and worse cardiovascular outcomes for racial and ethnic minorities, leading to unequal uptake of digital health technologies. In addition, while women generally have higher uptake of technology, they are less likely to be referred by clinicians for digital health interventions. We highlight several exemplar trials and analyze their methodology for replication in future digital health research. The promise of digital health equity has not been reached due to exclusionary practices. Specific focus must be placed on societal/governmental policies that enable digital inclusion, particularly of racial and ethnic minority populations and women, to ensure that the expansion of digital health technologies does not exacerbate existing health disparities.

Associations Between the Superwoman Schema, Stress, and Cardiovascular Health Among African-American Women

BACKGROUND

African-American (AA) women are less likely to achieve ideal cardiovascular (CV) health compared with women of other racial/ethnic subgroups, primarily due to structural and psychosocial barriers. A potential psychosocial construct relevant to ideal CV health is the superwoman schema (SWS).

PURPOSE

We explored whether the SWS was associated with perceived stress, CV risk factors, and overall CV health among AA women.

METHODS

This cross-sectional analysis of the FAITH! Heart Health+ Study was conducted among AA women with high cardiometabolic risk. Pearson correlation evaluated associations between SWS and CV risk factors (e.g., stress, hypertension, diabetes, etc.). The 35-item SWS questionnaire includes five domains. Stress was measured by the 8-item Global Perceived Stress Scale (GPSS). CV health was assessed using the American Heart Association Life's Simple 7 (LS7) rubric of health behaviors/biometrics. Data acquisition spanned from February to August 2022.

RESULTS

The 38 women included in the analysis (mean age 54.3 [SD 11.5] years) had a high CV risk factor burden (71.1% hypertension, 76.3% overweight/obesity, 28.9% diabetes, 39.5% hyperlipidemia). Mean GPSS level was 7.7 (SD 5.2), CV health score 6.7 (SD 1.8), and SWS score 60.3 (SD 18.0). Feeling an "obligation to help others" and "obligation to present an image of strength" had strongest correlations with GPSS score among all SWS domains (r = 0.51; p = .002 and r = 0.39; p = .02, respectively). Correlation among the SWS domains and traditional CV risk factors was not statistically significant.

CONCLUSION

Our findings suggest that an obligation to help others and to project an image of strength could be contributing to stress among AA women.

Digital health as a tool for patient activation and improving quality of care for heart failure

The clinical and economic impact of heart failure (HF) is immense and will continue to rise due to the increasing prevalence of the disease. Despite the availability of guideline-recommended medications that improve mortality, reduce hospitalizations, and enhance quality of life, there are major gaps in the implementation of such care. Quality improvement interventions have generally focused on clinicians. While certain interventions have had modest success in improving the use of heart failure medications, they remain insufficient in optimizing HF care. Here, we discuss how patient-facing interventions can add value and supplement clinician-centered interventions. We discuss how digital health can be leveraged to create patient activation tools that create a larger, sustainable impact. Small studies have suggested the promise of digital tools for patient engagement and self-care, but there are also important barriers to the adoption of such interventions that we describe. We share key principles and strategies around the design and implementation of digital health innovations to maximize patient participation and engagement. By uniquely activating patients in their own care, digital health can unlock the full potential of both existing and new quality improvement initiatives to drive forward high-quality and equitable heart failure care.

The effect of digital therapeutics intervention on improving hypertension management in adults: a meta-analysis of randomized controlled trial

Digital therapeutics (DTx) intervention is an emerging therapy for the treatment and long-term management of hypertension. We aim to systematically evaluate the overall effect of DTx intervention on improving hypertension management. The systematic review and meta-analysis of RCTs was conducted and the PubMed, EMBASE, Web of Science, and Cochrane Library were searched to identify eligible RCTs published between Jan 1, 1982 and Sep 10, 2023. Random-effect models were utilized to pool estimates of net changes in systolic blood pressure (BP), diastolic BP, BP control rate, body mass index, weight, waist circumference, and physical activity between the DTx group and control group. 15 RCTs were included with a total of 3789 participants. Compared with the control group, DTx intervention was associated with significant changes in systolic BP, diastolic BP, and BP control rate of -3.75 mmHg(95% CI -5.74 to 1.77), -1.79 mmHg (95% CI -2.81 to -0.77) and 1.47% (95% CI 1.10 to 1.95), respectively. In addition, DTx intervention was statistically significant for improving other risk factors such as lower BMI (-0.5 kg/m2, 95% CI -0.86 to -0.15), increased physical activity (66.73 min/week, 95%CI 49.64 to 83.81), and reduced waist circumference (-2.91 cm, 95% CI -5.15 to -0.66). No difference between groups was demonstrated in weight (P = 0.30). Subgroup analyses revealed consistent effects of the change in SBP and DBP across study duration, age, sample size, patient baseline status, and intervention scenario settings(P > 0.05). DTx intervention may be useful for lowering BP and long-term management of hypertension. More large-size trials providing evidence on the same product are needed.

Impact of Digital Health Interventions on Birth Equity: A Review

The rise in smartphone utilization and technology uptake has popularized digital health interventions as a means of supporting healthy pregnancies and optimizing maternal and child health. Digital health interventions include several modalities, such as telemedicine, remote patient monitoring, smartphone applications, web-based interventions, wearables, and health information technology. However, the impact of these interventions on improving maternal and infant health outcomes by race and socioeconomic status to achieve birth equity is unknown. This review summarizes current literature on the impact of digital health interventions on the outcomes of communities of color and lower socioeconomic status in the United States. We demonstrate there is emerging evidence of the impact of digital health interventions on maternal health outcomes, particularly for telemedicine, but evidence specifically focused on assessing outcomes by race and ethnicity and for other modalities, like mHealth apps or wearables, is limited. Digital health interventions may play a part in birth equity initiatives, but should not be considered a standalone solution, and instead should be integrated into other existing efforts to achieve birth equity, like diversifying the clinician workforce, expanding access to high-quality prenatal and postpartum care, or delivering respectful maternity care.

Beta Test of a Christian Faith-Based Facebook Intervention for Smoking Cessation in Rural Communities (FaithCore): Development and Usability Study

BACKGROUND

Individuals living in rural communities experience substantial geographic and infrastructure barriers to attaining health equity in accessing tobacco use cessation treatment. Social media and other digital platforms offer promising avenues to improve access and overcome engagement challenges in tobacco cessation efforts. Research has also shown a positive correlation between faith-based involvement and a lower likelihood of smoking, which can be used to engage rural communities in these interventions.

OBJECTIVE

This study aimed to develop and beta test a social intervention prototype using a Facebook (Meta Platforms, Inc) group specifically designed for rural smokers seeking evidence-based smoking cessation resources.

METHODS

We designed a culturally aligned and faith-aligned Facebook group intervention, FaithCore, tailored to engage rural people who smoke in smoking cessation resources. Both intervention content and engagement strategies were guided by community-based participatory research principles. Given the intervention's focus on end users, that is, rural people who smoked, we conducted a beta test to assess any technical or usability issues of this intervention before any future trials for large-scale implementation.

RESULTS

No critical beta test technical and usability issues were noted. Besides, the FaithCore intervention was helpful, easy to understand, and achieved its intended goals. Notably, 90% (9/10) of the participants reported that they tried quitting smoking, while 90% (9/10) reported using or seeking cessation resources discussed within the group.

CONCLUSIONS

This study shows that social media platform with culturally aligned and faith-aligned content and engagement strategies delivered by trained moderators are promising for smoking cessation interventions in rural communities. Our future step is to conduct a large pilot trial to evaluate the intervention's effectiveness on smoking cessation outcomes.

Rationale, design, and participant characteristics of the FAITH! Heart Health+ study: An exploration of the influence of the social determinants of health, stress, and structural racism on African American cardiovascular health

BACKGROUND

African Americans (AAs) face cardiovascular health (CVH) disparities linked to systemic racism. The 2020 police killing of Mr. George Floyd in Minneapolis, Minnesota, alongside the COVID-19 pandemic, exacerbated adverse psychosocial factors affecting CVH outcomes among AAs. This manuscript describes the study protocol and participant characteristics in an ancillary study exploring the relationship between biopsychosocial factors and CVH among AAs.

METHODS

Using a community-based participatory approach, a mixed-methods ancillary study of 58 AA participants from an overarching randomized control trial (RCT) was conducted. Baseline RCT health assessments (November 2020) provided sociodemographic, medical, and clinical data. Subsequent health assessments (February-December 2022) measured sleep quality, psychosocial factors (e.g., high-effort coping), biomarkers (e.g., cortisol), and cardiovascular diagnostics (e.g., cardio-ankle vascular index). CVH was assessed using the American Heart Association Life's Simple 7 (LS7) (range 0 to 14, poor to ideal) and Life's Essential 8 (LE8) scores (range 0 to 100, low to high). Correlations between these scores will be examined. Focus group discussions via videoconferencing (March to April 2022) assessed psychosocial and structural barriers, along with the impact of COVID-19 and George Floyd's killing on daily life.

RESULTS

Participants were predominantly female (67%), with a mean age of 54.6 [11.9] years, high cardiometabolic risk (93% had overweight/obesity and 70% hypertension), and moderate LE8 scores (mean 57.4, SD 11.5).

CONCLUSION

This study will enhance understanding of the associations between biopsychosocial factors and CVH among AAs in Minnesota. Findings may inform risk estimation, patient care, and healthcare policies to address CVD disparities in marginalized populations.

How to design equitable digital health tools: A narrative review of design tactics, case studies, and opportunities

With a renewed focus on health equity in the United States driven by national crises and legislation to improve digital healthcare innovation, there is a need for the designers of digital health tools to take deliberate steps to design for equity in their work. A concrete toolkit of methods to design for health equity is needed to support digital health practitioners in this aim. This narrative review summarizes several health equity frameworks to help digital health practitioners conceptualize the equity dimensions of importance for their work, and then provides design approaches that accommodate an equity focus. Specifically, the Double Diamond Model, the IDEAS framework and toolkit, and community collaboration techniques such as participatory design are explored as mechanisms for practitioners to solicit input from members of underserved groups and better design digital health tools that serve their needs. Each of these design methods requires a deliberate effort by practitioners to infuse health equity into the approach. A series of case studies that use different methods to build in equity considerations are offered to provide examples of how this can be accomplished and demonstrate the range of applications available depending on resources, budget, product maturity, and other factors. We conclude with a call for shared rigor around designing digital health tools that deliver equitable outcomes for members of underserved populations.

Racial and Gender Differences in Cardiorespiratory Fitness and Atrial Fibrillation

The expanding field of cardiorespiratory fitness (CRF) in individuals with and without atrial fibrillation (AF) presents a complex landscape, demanding careful interpretation of the existing research. AF, characterized by significant mortality and morbidity, prompts the exploration of strategies to mitigate its impact. Increasing physical activity (PA) levels emerges as a promising avenue to address AF risk factors, such as obesity, hypertension, and diabetes mellitus, through mechanisms of reduced vasoconstriction, endothelin-1 modulation, and improved insulin sensitivity. However, caution is warranted, as recent investigations suggest a heightened incidence of AF, particularly in athletes engaged in high-intensity exercise, due to the formation of ectopic foci and changes in cardiac anatomy. Accordingly, patients should adhere to guideline-recommended amounts of low-to-moderate PA to balance benefits and minimize adverse effects. When looking closer at the current evidence, gender-specific differences have been observed and challenged conventional understanding, with women demonstrating decreased AF risk even at extreme exercise levels. This phenomenon may be rooted in divergent hemodynamic and structural responses to exercise between men and women. Existing research is predominantly observational and limited to racially homogenous populations, which underscores the need for comprehensive studies encompassing diverse, non-White ethnic groups in athlete and non-athlete populations. These individuals exhibit a disproportionately high burden of AF risk factors that could be addressed through improved CRF. Despite the limitations, randomized control trials offer promising evidence for the efficacy of CRF interventions in patients with preexisting AF, showcasing improvements in clinically significant AF outcomes and patient quality of life. The potential of CRF as a countermeasure to the consequences of AF remains an area of great promise, urging future research to delve deeper to explore its role within specific racial and gender contexts. This comprehensive understanding will contribute to the development of tailored strategies for optimizing cardiovascular health and AF prevention in all those who are affected.

Addressing Social Determinants of Health in Maternal Cardiovascular Health

Cardiovascular diseases (CVDs) remain the number-one cause of maternal mortality, with over two-thirds of cases being preventable. Social determinants of health (SDoH) encompass the nonmedical social and environmental factors that an individual experiences that have a significant impact on their health. These stressors disproportionately affect socially disadvantaged and minority populations. Pregnancy is a physiologically stressful state that can unmask underlying CVD risk factors and lead to adverse pregnancy outcomes (APOs). Disparities in APOs are particularly pronounced among individuals of color and those from economically disadvantaged backgrounds. This variation underscores healthcare inequity and access, a failure of the healthcare system. Besides short-term negative effects, APOs also are associated strongly with long-term CVDs. APOs therefore must be identified as a cue for early intervention, for the prevention and management of CVD risk factors. This review explores the intricate relationship among maternal morbidity and mortality, SDoH, and cardiovascular health, and the implementation of health policy efforts to reduce the negative impact of SDoH in this patient population. The review emphasizes the importance of comprehensive strategies to improve maternal health outcomes.

Strategies for improving diversity, equity, and inclusion in cardiovascular research: a primer

This paper aims to empower cardiovascular (CV) researchers by promoting diversity, equity, and inclusion (DE&I) principles throughout the research cycle. It defines DE&I and introduces practical strategies for implementation in recruitment, retention, and team dynamics within CV research. Evidence-based approaches supporting underrepresented populations' participation are outlined for each research phase. Emphasizing the significance of inclusive research environments, the paper offers guidance and resources. We invite CV researchers to actively embrace DE&I principles, enhancing research relevance and addressing longstanding CV health disparities.

More than Just a Number: Perspectives from Black Male Participants on Community-Based Interventions and Clinical Trials to Address Cardiovascular Health Disparities

BACKGROUND

Black Americans remain significantly underrepresented and understudied in research. Community-based interventions have been increasingly recognized as an effective model for reckoning with clinical trial participation challenges amongst underrepresented groups, yet a paucity of studies implement this approach. The present study sought to gain insight into Black male participants' perception of clinical trials before and after participating in a community-based team lifestyle intervention in the United States.

METHODS

Black Impact, a 24-week community-based lifestyle intervention, applied the American Heart Association's Life's Simple 7 (LS7) framework to assess changes in the cardiovascular health of seventy-four Black male participants partaking in weekly team-based physical activities and LS7-themed education and having their social needs addressed. A subset of twenty participants completed an exit survey via one of three semi-structured focus groups aimed at understanding the feasibility of interventions, including their perceptions of participating in clinical trials. Data were transcribed verbatim and analyzed using a content analysis, which involved systematically identifying, coding, categorizing, and interpreting the primary patterns of the data.

RESULTS

The participants reported a positive change in their perceptions of clinical trials based on their experience with a community-based lifestyle intervention. Three prominent themes regarding their perceptions of clinical trials prior to the intervention were as follows: (1) History of medical abuse; (2) Lack of diversity amongst research teams and participants; and (3) A positive experience with racially concordant research teams. Three themes noted to influence changes in their perception of clinical trials based on their participation in Black Impact were as follows: (1) Building trust with the research team; (2) Increasing awareness about clinical trials; and (3) Motivating participation through community engagement efforts.

CONCLUSIONS

Improved perceptions of participating in clinical trials were achieved after participation in a community-based intervention. This intervention may provide a framework by which to facilitate clinical trial participation among Black men, which must be made a priority so that Black men are "more than just a number" and no longer "receiving the short end of the stick".

Emphasizing Sexual Orientation and Gender Identity Data Capture for Improved Cardiovascular Care of the LGBTQ+ Population

Importance

The rising self-identifying lesbian, gay, bisexual, transgender, and queer (LGBTQ+) population makes understanding the unique health care needs of sexual and gender minoritized patients an urgent one. The interaction between minority stress and cardiovascular disease has been well described among underrepresented minoritized populations. The underrepresentation of minoritized populations in clinical research is partly responsible for worse cardiovascular outcomes in these populations. The absence of sexual orientation and gender identity and expression (SOGIE) data makes it difficult to understand the cardiovascular health of LGBTQ+ adults, thereby widening health care disparities in this population. Advancing cardiovascular health equity for LGBTQ+ patients must begin with careful and accurate SOGIE data collection.

Observations

Current SOGIE data capture remains inadequate despite federal mandates. Challenges in data collection include political and regulatory discrimination, patient/practitioner hesitancy, lack of supportive guidance on SOGIE data collection, improper terminology, regulatory inertia, and inadequate and often incorrect integration of SOGIE data into electronic health records (EHRs). Additional challenges include grouping participants as "others" for statistical significance. The inclusion of SOGIE data has demonstrated an impact in other fields like cancer survivorship and surgery. The same needs to be done for cardiology.

Conclusions and Relevance

Potential solutions for improving much-needed SOGIE data collection include (1) implementing LGBTQ+ inclusive policies, (2) integrating SOGIE data into the EHR, (3) educating health care professionals on the relevance of SOGIE to patient-centered care, and (4) creating a diverse cardiovascular workforce. These steps can substantially enhance the ability to collect SOGIE data to address LGBTQ+ cardiovascular health care disparities.

Digital Health Interventions for Hypertension Management in US Populations Experiencing Health Disparities: A Systematic Review and Meta-Analysis

Importance

Hypertension remains a leading factor associated with cardiovascular disease, and demographic and socioeconomic disparities in blood pressure (BP) control persist. While advances in digital health technologies have increased individuals' access to care for hypertension, few studies have analyzed the use of digital health interventions in vulnerable populations.

Objective

To assess the association between digital health interventions and changes in BP and to characterize tailored strategies for populations experiencing health disparities.

Data Sources

In this systematic review and meta-analysis, a systematic search identified studies evaluating digital health interventions for BP management in the Cochrane Library, Ovid Embase, Google Scholar, Ovid MEDLINE, PubMed, Scopus, and Web of Science databases from inception until October 30, 2023.

Study Selection

Included studies were randomized clinical trials or cohort studies that investigated digital health interventions for managing hypertension in adults; presented change in systolic BP (SBP) or baseline and follow-up SBP levels; and emphasized social determinants of health and/or health disparities, including a focus on marginalized populations that have historically been underserved or digital health interventions that were culturally or linguistically tailored to a population with health disparities. The study followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guideline.

Data Extraction and Synthesis

Two reviewers extracted and verified data. Mean differences in BP between treatment and control groups were analyzed using a random-effects model.

Main Outcomes and Measures

Primary outcomes included mean differences (95% CIs) in SBP and diastolic BP (DBP) from baseline to 6 and 12 months of follow-up between digital health intervention and control groups. Shorter- and longer-term follow-up durations were also assessed, and sensitivity analyses accounted for baseline BP levels.

Results

A total of 28 studies (representing 8257 participants) were included (overall mean participant age, 57.4 years [range, 46-71 years]; 4962 [60.1%], female). Most studies examined multicomponent digital health interventions incorporating remote BP monitoring (18 [64.3%]), community health workers or skilled nurses (13 [46.4%]), and/or cultural tailoring (21 [75.0%]). Sociodemographic characteristics were similar between intervention and control groups. Between the intervention and control groups, there were statistically significant mean differences in SBP at 6 months (-4.24 mm Hg; 95% CI, -7.33 to -1.14 mm Hg; P = .01) and SBP changes at 12 months (-4.30 mm Hg; 95% CI, -8.38 to -0.23 mm Hg; P = .04). Few studies (4 [14.3%]) reported BP changes and hypertension control beyond 1 year.

Conclusions and Relevance

In this systematic review and meta-analysis of digital health interventions for hypertension management in populations experiencing health disparities, BP reductions were greater in the intervention groups compared with the standard care groups. The findings suggest that tailored initiatives that leverage digital health may have the potential to advance equity in hypertension outcomes.

Digital Health Interventions for Heart Failure Management in Underserved Rural Areas of the United States: A Systematic Review of Randomized Trials

BACKGROUND

Heart failure disproportionately affects individuals residing in rural areas, leading to worse health outcomes. Digital health interventions have been proposed as a promising approach for improving heart failure management. This systematic review aims to identify randomized trials of digital health interventions for individuals living in underserved rural areas with heart failure.

METHODS AND RESULTS

We conducted a systematic review by searching 6 databases (CINAHL, EMBASE, MEDLINE, Web of Science, Scopus, and PubMed; 2000-2023). A total of 30 426 articles were identified and screened. Inclusion criteria consisted of digital health randomized trials that were conducted in underserved rural areas of the United States based on the US Census Bureau's classification. Two independent reviewers screened the studies using the National Heart, Lung, and Blood Institute tool to evaluate the risk of bias. The review included 5 trials from 6 US states, involving 870 participants (42.9% female). Each of the 5 studies employed telemedicine, 2 studies used remote monitoring, and 1 study used mobile health technology. The studies reported improvement in self-care behaviors in 4 trials, increased knowledge in 2, and decreased cardiovascular mortality in 1 study. However, 3 trials revealed no change or an increase in health care resource use, 2 showed no change in cardiac biomarkers, and 2 demonstrated an increase in anxiety.

CONCLUSIONS

The results suggest that digital health interventions have the potential to enhance self-care and knowledge of patients with heart failure living in underserved rural areas. However, further research is necessary to evaluate their impact on clinical outcomes, biomarkers, and health care resource use.

REGISTRATION

URL: https://www.crd.york.ac.uk/prospero/; Unique identifier: CRD42022366923.

Efficacy of a culturally tailored mobile health lifestyle intervention on cardiovascular health among African Americans with preexisting risk factors: The FAITH! Trial

Background

African Americans have a higher prevalence of cardiovascular risk factors, leading to higher cardiovascular disease mortality than White adults. Our culturally tailored mobile health (mHealth) lifestyle intervention (FAITH! App) has previously demonstrated efficacy in promoting ideal cardiovascular health in African Americans.

Methods

We conducted a secondary analysis from a cluster randomized controlled trial among African-Americans from 16 churches in Minnesota that compared the FAITH! App to a delayed intervention control group. A subgroup of participants with ≥ 1 diagnosis of overweight/obesity, hyperlipidemia, hypertension, or diabetes was examined. The primary outcome was a change in LS7 score-a measure of cardiovascular health ranging from poor to ideal (range 0-14 points)-at 6-months post-intervention.

Results

The analysis included 49 participants (intervention group: n = 20; mean age 58.8 years, 75% female; control group: n = 29, mean age 52.5 years, 76% female) with no significant baseline differences in cardiovascular risk factors. Compared to the control group, the intervention group showed a greater increase in LS7 score across all cardiovascular risk factors at 6-months post-intervention, with statistically significant differences among those with overweight/obesity (intervention effect 1.77, p < 0.0001) and 2+ or 3+ cardiovascular risk factors (1.00, p = 0.03; 1.09, p = 0.04). The intervention group demonstrated a higher increase in the percentage of participants with intermediate or ideal LS7 scores than the control group, although these differences were not statistically significant.

Conclusions

Our culturally tailored mHealth lifestyle intervention was associated with significant increases in LS7 scores among African Americans with preexisting cardiovascular risk factors, suggesting its efficacy in improving cardiovascular health among this population.

Development of text messages for primary prevention of cardiovascular disease in persons with HIV

Objective

Persons with HIV (PWH) have increased risk for atherosclerotic cardiovascular disease (CVD). Despite this increased risk, perceived cardiovascular risk among PWH is low, and interventions that are known to be beneficial in the general population, such as statins, have low uptake in this population. We sought to develop a bank of text messages about (1) the association between HIV and CVD and (2) advice on reducing cardiovascular risk.

Methods

We developed an initial bank of 162 messages. We solicited feedback from 29 PWH recruited from outpatient clinics providing HIV care at a large urban tertiary medical center and a public hospital in San Francisco, California. Participants reviewed 7-10 messages each and rated message usefulness, readability, and potential impact on behavior on a scale from 1 (least) to 5 (most). We also collected open-ended feedback on the messages and data on preferences about message timing.

Results

The average score for the messages was 4.4/5 for usefulness, 4.4/5 for readability, and 4.0/5 for potential impact on behavior. The text messages were iteratively revised based on participant feedback, and lowest-rated messages were removed from the message bank. The final message bank included 116 messages on diet (30.2%), physical activity (24.8%), tobacco (11.2%), the association between HIV and cardiovascular disease (9.5%), general heart health (6.9%), cholesterol (5.2%), blood pressure (4.3%), blood sugar (2.6%), sleep (2.6%), and weight (2.6%).

Conclusion

We describe an approach for developing educational text messages on primary prevention of cardiovascular disease among PWH.

Advancing Equity in Diabetes Prevention, Treatment, and Outcomes: Delivering on Our Values

Diabetes inequities exist from diabetes prevention to outcomes and are rooted in the social drivers (determinants) of health. Historical policies such as "redlining" have adversely affected diabetes prevalence, control, and outcomes for decades. Advancing diabetes equity requires multimodal approaches, addressing both individual-level diabetes education, self-management, and treatment along with addressing social needs, and working to improve upstream drivers of health. All individuals affected by diabetes must advocate for policies to advance diabetes equity at the organizational, local, state, and federal levels. Centering diabetes efforts and interventions on equity will improve diabetes treatment and care for all.

Health Disparities, Clinical Trials, and the Digital Divide

In the past few years, there have been rapid advances in technology and the use of digital tools in health care and clinical research. Although these innovations have immense potential to improve health care delivery and outcomes, there are genuine concerns related to inadvertent widening of the digital gap consequentially exacerbating health disparities. As such, it is important that we critically evaluate the impact of expansive digital transformation in medicine and clinical research on health equity. For digital solutions to truly improve the landscape of health care and clinical trial participation for all persons in an equitable way, targeted interventions to address historic injustices, structural racism, and social and digital determinants of health are essential. The urgent need to focus on interventions to promote health equity was made abundantly clear with the coronavirus disease 2019 pandemic, which magnified long-standing social and racial health disparities. Novel digital technologies present a unique opportunity to embed equity ideals into the ecosystem of health care and clinical research. In this review, we examine racial and ethnic diversity in clinical trials, historic instances of unethical research practices in biomedical research and its impact on clinical trial participation, and the digital divide in health care and clinical research, and we propose suggestions to achieve digital health equity in clinical trials. We also highlight key digital health opportunities in cardiovascular medicine and dermatology as exemplars, and we offer future directions for development and adoption of patient-centric interventions aimed at narrowing the digital divide and mitigating health inequities.

Leveraging Digital Health to Improve the Cardiovascular Health of Women

Purpose of Review

In this review, we present a comprehensive discussion on the population-level implications of digital health interventions (DHIs) to improve cardiovascular health (CVH) through sex- and gender-specific prevention strategies among women.

Recent Findings

Over the past 30 years, there have been significant advancements in the diagnosis and treatment of cardiovascular diseases, a leading cause of morbidity and mortality among men and women worldwide. However, women are often underdiagnosed, undertreated, and underrepresented in cardiovascular clinical trials, which all contribute to disparities within this population. One approach to address this is through DHIs, particularly among racial and ethnic minoritized groups. Implementation of telemedicine has shown promise in increasing adherence to healthcare visits, improving BP monitoring, weight control, physical activity, and the adoption of healthy behaviors. Furthermore, the use of mobile health applications facilitated by smart devices, wearables, and other eHealth (defined as electronically delivered health services) modalities has also promoted CVH among women in general, as well as during pregnancy and the postpartum period. Overall, utilizing a digital health approach for healthcare delivery, decentralized clinical trials, and incorporation into daily lifestyle activities has the potential to improve CVH among women by mitigating geographical, structural, and financial barriers to care.

Summary

Leveraging digital technologies and strategies introduces novel methods to address sex- and gender-specific health and healthcare disparities and improve the quality of care provided to women. However, it is imperative to be mindful of the digital divide in specific populations, which may hinder accessibility to these novel technologies and inadvertently widen preexisting inequities.

Community-Based Interventions to Address Disparities in Cardiometabolic Diseases Among Minoritized Racial and Ethnic Groups

PURPOSE OF REVIEW

Cardiometabolic diseases (CMDs) are leading causes of death and disproportionally impact historically marginalized racial/ethnic groups in the United States. The American Heart Association developed the Life's Essential 8 (LE8) to promote optimal cardiovascular health (CVH) through eight health behaviors and health factors. The purpose of this review is to summarize contemporary community-engaged research (CER) studies incorporating the LE8 framework among racial/ethnic groups.

REVIEW OF FINDINGS

Limited studies focused on the interface of CER and LE8. Based on synthesis of articles in this review, the application of CER to individual/collective LE8 metrics may improve CVH and reduce CMDs at the population level. Effective strategies include integration of technology, group activities, cultural/faith-based practices, social support, and structural/environmental changes. CER studies addressing LE8 factors in racial/ethnic groups play an essential role in improving CVH. Future studies should focus on broader scalability and health policy interventions to advance health equity.

mHealth Intervention for Promoting Hypertension Self-management Among African American Patients Receiving Care at a Community Health Center: Formative Evaluation of the FAITH! Hypertension App

BACKGROUND

African American individuals are at a higher risk of premature death from cardiovascular diseases than White American individuals, with disproportionate attributable risk from uncontrolled hypertension. Given their high use among African American individuals, mobile technologies, including smartphones, show promise in increasing reliable health information access. Culturally tailored mobile health (mHealth) interventions may promote hypertension self-management among this population.

OBJECTIVE

This formative study aimed to assess the feasibility of integrating an innovative mHealth intervention into clinical and community settings to improve blood pressure (BP) control among African American patients.

METHODS

A mixed methods study of African American patients with uncontrolled hypertension was conducted over 2 consecutive phases. In phase 1, patients and clinicians from 2 federally qualified health centers (FQHCs) in the Minneapolis-St Paul, Minnesota area, provided input through focus groups to refine an existing culturally tailored mHealth app (Fostering African-American Improvement in Total Health! [FAITH!] App) for promoting hypertension self-management among African American patients with uncontrolled hypertension (renamed as FAITH! Hypertension App). Phase 2 was a single-arm pre-post intervention pilot study assessing feasibility and patient satisfaction. Patients receiving care at an FQHC participated in a 10-week intervention using the FAITH! Hypertension App synchronized with a wireless BP monitor and community health worker (CHW) support to address social determinants of health-related social needs. The multimedia app consisted of a 10-module educational series focused on hypertension and cardiovascular risk factors with interactive self-assessments, medication and BP self-monitoring, and social networking. Primary outcomes were feasibility (app engagement and satisfaction) and preliminary efficacy (change in BP) at an immediate postintervention assessment.

RESULTS

In phase 1, thirteen African American patients (n=9, 69% aged ≥50 years and n=10, 77% women) and 16 clinicians (n=11, 69% aged ≥50 years; n=14, 88% women; and n=10, 63% African American) participated in focus groups. Their feedback informed app modifications, including the addition of BP and medication tracking, BP self-care task reminders, and culturally sensitive contexts. In phase 2, sixteen African American patients were enrolled (mean age 52.6, SD 12.3 years; 12/16, 75% women). Overall, 38% (6/16) completed ≥50% of the 10 education modules, and 44% (7/16) completed the postintervention assessment. These patients rated the intervention a 9 (out of 10) on its helpfulness in hypertension self-management. Qualitative data revealed that they viewed the app as user-friendly, engaging, and informative, and CHWs were perceived as providing accountability and support. The mean systolic and diastolic BPs of the 7 patients decreased by 6.5 mm Hg (P=.15) and 2.8 mm Hg (P=.78), respectively, at the immediate postintervention assessment.

CONCLUSIONS

A culturally tailored mHealth app reinforced by CHW support may improve hypertension self-management among underresourced African American individuals receiving care at FQHCs. A future randomized efficacy trial of this intervention is warranted.

TRIAL REGISTRATION

ClinicalTrials.gov NCT04554147; https://clinicaltrials.gov/ct2/show/NCT04554147.

Life Course Cardiovascular Health: Risk Factors, Outcomes, and Interventions

Since it was first defined by the American Heart Association in 2010, cardiovascular health (CVH) has been extensively studied across the life course. In this review, we present the current literature examining early life predictors of CVH, the later life outcomes of child CVH, and the relatively few interventions which have specifically addressed how to preserve and promote CVH across populations. We find that research on CVH has demonstrated that prenatal and childhood exposures are consistently associated with CVH trajectories from childhood through adulthood. CVH measured at any point in life is strongly predictive of future cardiovascular disease, dementia, cancer, and mortality as well as a variety of other health outcomes. This speaks to the importance of intervening early to prevent the loss of optimal CVH and the accumulation of cardiovascular risk. Interventions to improve CVH are not common but those that have been published most often address multiple modifiable risk factors among individuals within the community. Relatively few interventions have been focused on improving the construct of CVH in children. Future research is needed that will be both effective, scalable, and sustainable. Technology including digital platforms as well as implementation science will play key roles in achieving this vision. In addition, community engagement at all stages of this research is critical. Lastly, prevention strategies that are tailored to the individual and their context may help us achieve the promise of personalized prevention and help promote ideal CVH in childhood and across the life course.

Artificial Intelligence for the Detection and Treatment of Atrial Fibrillation

AF is the most common clinically relevant cardiac arrhythmia associated with multiple comorbidities, cardiovascular complications (e.g. stroke) and increased mortality. As artificial intelligence (AI) continues to transform the practice of medicine, this review article highlights specific applications of AI for the screening, diagnosis and treatment of AF. Routinely used digital devices and diagnostic technology have been significantly enhanced by these AI algorithms, increasing the potential for large-scale population-based screening and improved diagnostic assessments. These technologies have similarly impacted the treatment pathway of AF, identifying patients who may benefit from specific therapeutic interventions. While the application of AI to the diagnostic and therapeutic pathway of AF has been tremendously successful, the pitfalls and limitations of these algorithms must be thoroughly considered. Overall, the multifaceted applications of AI for AF are a hallmark of this emerging era of medicine.

Social Determinants, Blood Pressure Control, and Racial Inequities in Childbearing Age Women With Hypertension, 2001 to 2018

Background Hypertension is an important modifiable risk factor of serious maternal morbidity and mortality. Social determinants of health (SDoH) influence hypertension outcomes and may contribute to racial and ethnic differences in hypertension control. Our objective was to assess SDoH and blood pressure (BP) control by race and ethnicity in US women of childbearing age with hypertension. Methods and Results We studied women (aged 20-50 years) with hypertension (systolic BP ≥140 mm Hg or diastolic BP ≥90 mm Hg or use of antihypertensive medication) in the National Health and Nutrition Examination Surveys 2001 to 2018. SDoH and BP control (systolic BP <140 mm Hg and diastolic BP <90 mm Hg) were examined by race and ethnicity (White race, Black race, Hispanic ethnicity, and Asian race). Using multivariable logistic regression, odds of uncontrolled BP by race and ethnicity were modeled, adjusting for SDoH, health factors, and modifiable health behaviors. Responses on hunger and affording food determined food insecurity status. Across women of childbearing age with hypertension (N=1293), 59.2% were White race, 23.4% were Black race, 15.8% were Hispanic ethnicity, and 1.7% were Asian race. More Hispanic and Black women experienced food insecurity than White women (32% and 25% versus 13%; both P<0.001). After SDoH, health factor, and modifiable health behavior adjustment, Black women maintained higher odds of uncontrolled BP than White women (odds ratio, 2.31 [95% CI, 1.08-4.92]), whereas Asian and Hispanic women showed no difference. Conclusions We identified racial inequities in uncontrolled BP and food insecurity among women of childbearing age with hypertension. Further exploration beyond the SDoH measured is needed to understand the inequity in hypertension control in Black women.

Influence of neighborhood-level social determinants of health on a heart-healthy lifestyle among Black church members: A mixed-methods study

Background

Few church-based health interventions have evaluated the influence of neighborhood-level social determinants of health (SDOH) on adopting heart-healthy lifestyles; none has occurred in Louisiana. We aimed to characterize neighborhood-level SDOH that may influence the ability to adopt a heart-healthy lifestyle among Black community church members in New Orleans, LA.

Methods

This mixed methods study used quantitative data (surveys) and qualitative data (focus groups) to explore SDOH at the neighborhood- and church-area- level, including factors related to the physical (e.g., walkability, accessibility to recreational facilities) and social (e.g., social cohesion, perceived safety) environments. Descriptive analyses were conducted for quantitative data. Qualitative data were coded and analyzed using grounded theory and thematic analysis.

Results

Among survey respondents (n = 302, 77 % female, 99 % Black), most reported having walkable neighborhood sidewalks and high neighborhood social cohesion. Two-thirds did not feel violence was a problem in their neighborhood and felt safe walking, day, or night. Focus group participants (n = 27, 74 % female, 100 % Black) reported facilitators to heart-healthy living, including social support promoting physical activity, intentionality in growing, buying, and preparing produce, and the neighborhood-built environment. Reported barriers included: crime, the COVID-19 pandemic, individual-level factors limiting physical activity, and city-wide disparities influencing health. Participants discussed strategies to promote healthy living, centered around the theme of establishing and rebuilding community relationships.

Conclusions

Future health interventions aimed at improving cardiovascular outcomes among church communities should continue to inquire about neighborhood-level SDOH and tailor interventions, as appropriate, to address barriers and leverage facilitators within these communities.

Health Techequity: Opportunities for Digital Health Innovations to Improve Equity and Diversity in Cardiovascular Care

Purpose of Review

In this review, we define health equity, disparities, and social determinants of health; the different components of digital health; the barriers to digital health equity; and cardiovascular digital health trials and possible solutions to improve health equity through digital health.

Recent Findings

Digital health interventions show incredible potential to improve cardiovascular diseases by obtaining longitudinal, continuous, and actionable patient data; increasing access to care; and by decreasing delivery barriers and cost. However, certain populations have experienced decreased access to digital health innovations and decreased representation in cardiovascular digital health trials.

Summary

Special efforts will need to be made to expand access to the different elements of digital health, ensuring that the digital divide does not exacerbate health disparities. As the expansion of digital health technologies continues, it is vital to increase representation of minoritized groups in all stages of the process: product development (needs findings and screening, concept generation, product creation, and testing), clinical research (pilot studies, feasibility studies, and randomized control trials), and finally health services deployment.

Community-based participatory research application of an artificial intelligence-enhanced electrocardiogram for cardiovascular disease screening: A FAITH! Trial ancillary study

Objective

With the emergence of artificial intelligence (AI)-based health interventions, systemic racism remains a concern as these advancements are frequently developed without race-specific data analysis or validation. To evaluate the potential utility of an AI-based cardiovascular diseases (CVD) screening tool in an under-resourced African-American cohort, we reviewed the AI-enhanced electrocardiogram (ECG) data of participants enrolled in a community-based clinical trial as a proof-of-concept ancillary study for community-based screening.

Methods

Enrollees completed cardiovascular testing including standard 12-lead ECG and a limited echocardiogram (TTE). All ECGs were analyzed using previously published institution-based AI algorithms. AI-ECG predictions were generated for age, sex, and decreased left ventricular ejection fraction (LVEF). Diagnostic accuracy of the AI-ECG for decreased LVEF and sex was quantified using area under the receiver operating characteristic curve (AUC). Correlation between actual age and AI-ECG predicted age was assessed using Pearson correlation coefficients.

Results

Fifty-four participants completed both an ECG and TTE (mean age 55 years [range 31-87 years]; 66.7% female). All participants were in sinus rhythm, and the median LVEF of the cohort was 60-65%. The AI-ECG for decreased LVEF demonstrated excellent performance with an AUC of 0.892 (95% confidence interval [CI] 0.708-1); sensitivity=50% (95% CI 9.5-90.5%; n=1/2) and specificity=96% (95% CI 86.8-98.9%; n=49/51). The AI-ECG for participant sex demonstrated similar performance with AUC of 0.944 (95% CI 0.891-0.998); sensitivity=100% (95% CI 82.4-100.0%; n=18/18) and specificity=77.8% (95% CI 61.9-88.3%; n=28/36). The AI-ECG predicted mean age was 55 years (range 26.9-72.6 years) with a strong correlation to actual age (R=0.769; p<0.001).

Conclusion

Our analyses of previously developed AI-ECG algorithms for prediction of age, sex, and decreased LVEF demonstrated reliable performance in this community-based, African-American cohort. This novel, community-centric delivery of AI could provide valuable screening resources and appropriate referrals for early detection of highly-morbid CVD for under-resourced patient populations.

Associations of Cardiometabolic Multimorbidity With All-Cause and Coronary Heart Disease Mortality Among Black Adults in the Jackson Heart Study

IMPORTANCE

A combination of diabetes, coronary heart disease (CHD), and stroke has multiplicative all-cause mortality risk compared with any individual morbidity in White populations, but there is a lack of studies in Black populations in the US.

OBJECTIVE

To examine the association of cardiometabolic multimorbidity (diabetes, stroke, and CHD) individually and collectively with all-cause and CHD mortality.

DESIGN, SETTING, AND PARTICIPANTS

This cohort study included Black adults in the Jackson Heart Study followed over a median of 15 years. Baseline examinations were performed between 2000 and 2004, with follow-up on all-cause and CHD mortality through May 31, 2018. Participants were categorized into mutually exclusive groups at baseline: (1) free of cardiometabolic morbidity, (2) diabetes, (3) CHD, (4) stroke, (5) diabetes and stroke, (6) CHD and stroke, (7) diabetes and CHD, and (8) diabetes, stroke, and CHD. Data were analyzed from 2019 to 2021.

EXPOSURE

Cardiometabolic disease alone or in combination.

MAIN OUTCOMES AND MEASURES

The main outcomes were all-cause mortality and CHD mortality. Cox models estimated hazard ratios (HRs) with 95% CIs adjusted for sociodemographic and cardiovascular risk factors.

RESULTS

Among 5064 participants (mean [SD] age, 55.4 [12.8] years; 3200 [63%] women) in the Jackson Heart Study, 897 (18%) had diabetes, 192 (4%) had CHD, and 104 (2%) had a history of stroke. Among participants with cardiometabolic morbidities, the crude all-cause mortality rates were lowest for diabetes alone (24.4 deaths per 1000 person-years) and highest for diabetes, CHD, and stroke combined (84.1 deaths per 1000 person-years). For people with only 1 cardiometabolic morbidity, risk for all-cause mortality was highest for people with stroke (HR, 1.74; 95% CI, 1.24-2.42), followed by CHD (HR, 1.59 (95% CI, 1.22-2.08) and diabetes (HR, 1.50; 95% CI, 1.22-1.85), compared with no cardiometabolic morbidities. There were also increased risks of mortality with combinations of diabetes and stroke (HR, 1.71; 95% CI, 1.09-2.68), CHD and stroke (HR, 2.23; 95% CI, 1.35-3.69), and diabetes and CHD (HR, 2.28; 95% CI, 1.65-3.15). The combination of diabetes, stroke, and CHD was associated with the highest all-cause mortality (HR, 3.68; 95% CI, 1.96-6.93). Findings were similar for CHD mortality, but with a larger magnitude of association (eg, diabetes, stroke, and CHD: HR, 13.52; 95% CI, 3.38-54.12).

CONCLUSIONS AND RELEVANCE

In this cohort study, an increasing number of cardiometabolic multimorbidities was associated with a multiplicative increase in risk of all-cause mortality among Black adults, with a greater magnitude of association for CHD mortality.