An evaluation of the impact of social and structural determinants of health on forgone care during the COVID-19 pandemic in Baltimore, Maryland.

Evidence suggests that reductions in healthcare utilization, including forgone care, during the COVID-19 pandemic may be contributing towards excess morbidity and mortality. The objective of this study was to describe individual and community-level correlates of forgone care during the COVID-19 pandemic. We conducted a cross-sectional, secondary data analysis of participants (n = 2,003) who reported needing healthcare in two population-representative surveys conducted in Baltimore, MD in 2021 and 2021-2022. Abstracted data included the experience of forgone care, socio-demographic data, comorbidities, financial strain, and community of residence. Participant's community of residence were linked with data acquired from the Baltimore Neighborhood Indicators Alliance relevant to healthcare access and utilization, including walkability and internet access, among others. The data were analyzed using weighted random effects logistic regression. Individual-level factors found to be associated with increased odds for forgone care included individuals age 35-49 (compared to 18-34), female sex, experiencing housing insecurity during the pandemic, and the presence of functional limitations and mental illness. Black/African American individuals were found to have reduced odds of forgone care, compared to any other race. No community-level factors were significant in the multilevel analyses. Moving forward, it will be critical that health systems identify ways to address any barriers to care that populations might be experiencing, such as the use of mobile health services or telemedicine platforms. Additionally, public health emergency preparedness planning efforts must account for the unique needs of communities during future crises, to ensure that their health needs can continue to be met. Finally, additional research is needed to better understand how healthcare access and utilization practices have changed during versus before the pandemic.

Prevalence and Disparities in Telehealth Use Among US Adults Following the COVID-19 Pandemic: National Cross-Sectional Survey.

BACKGROUND: Telemedicine expanded during the COVID-19 pandemic, though use differed by age, sex, race or ethnicity, educational attainment, income, and location. It is unclear if high telehealth use or inequities persisted late into the pandemic. OBJECTIVE: This study aims to evaluate the prevalence of, inequities in, and primary reasons for telehealth visits a year after telemedicine expansion. METHODS: We used cross-sectional data from the 2022 Health Information National Trends Survey (HINTS 6), the first cycle with data on telemedicine. In total, 4830 English- and Spanish-speaking US adults (aged ≥18 years) were included in this study. The primary outcomes were telehealth visit attendance in the 12 months before March 7, 2022, to November 8, 2022, and the primary reason for the most recent telehealth visit. We evaluated sociodemographic and clinical predictors of telehealth visit attendance and the primary reason for the most recent telehealth visit through Poisson regression. Analyses were weighted according to HINTS 6 standards. RESULTS: We included 4830 participants (mean age 48.3, SD 17.5 years; 50.28% women; 65.21% White). Among US adults, 38.78% reported having a telehealth visit in the previous year. Telehealth visit attendance rates were similar across age, race or ethnicity, income, and urban versus rural location. However, individuals with a telehealth visit were less likely to live in the Midwest (adjusted prevalence ratio [aPR] 0.65, 95% CI 0.54-0.77), and more likely to be women (aPR 1.21, 95% CI 1.06-1.38), college graduates or postgraduates (aPR 1.24, 95% CI 1.05-1.46), covered by health insurance (aPR 1.56, 95% CI 1.08-2.26), and married or cohabitating (aPR 1.17, 95% CI 1.03-1.32), adjusting for sociodemographic characteristics, frequency of health care visits, and comorbidities. Among participants with a telehealth visit in the past year, the primary reasons for their most recent visit were minor or acute illness (32.15%), chronic disease management (21%), mental health or substance abuse (16.94%), and an annual exam (16.22%). Older adults were more likely to report that the primary reason for their most recent telehealth visit was for chronic disease management (aPR 2.08, 95% CI 1.33-3.23), but less likely to report that it was for a mental health or substance abuse issue (aPR 0.19, 95% CI 0.10-0.35), adjusting for sociodemographic characteristics and frequency of health care visits. CONCLUSIONS: Among US adults, telehealth visit attendance was high more than a year after telemedicine expansion and did not differ by age, race or ethnicity, income, or urban versus rural location. Telehealth could continue to be leveraged following COVID-19 to improve access to care and health equity.

Obesity paradox of cardiovascular mortality in older adults in the United States: A cohort study using 1997-2018 National Health Interview Survey data linked with the National Death Index.

BACKGROUND: Large-scale, population-based investigations primarily investigating the association between body mass index (BMI) and cardiovascular disease (CVD) mortality among older and younger adults in the United States (U.S.) are lacking. OBJECTIVE: To evaluate the relationship between BMI and CVD mortality in older (≥65 years) and younger (<65 years) adults and to identify the nadir for CVD mortality. DESIGN: This cohort study used serial cross-sectional data from the 1997 to 2018 National Health Interview Survey (NHIS) linked with the National Death Index. NHIS is an annual nationally representative household interview survey of the civilian noninstitutionalized U.S. SETTING: Residential units of the civilian noninstitutionalized population in the U.S. PARTICIPANTS: The target population for the NHIS is the civilian noninstitutionalized U.S. population at the time of the interview. We included all adults who had BMI data collected at 18 years and older and with mortality data being available. To minimize the risk of reverse causality, we excluded adults whose survival time was ≤2 years of follow-up after their initial BMI was recorded and those with prevalent cancer and/or CVD at baseline. METHODS: We used the BMI record obtained in the year of the NHIS survey. Total CVD mortality used the NHIS data linked to the latest National Death Index data from the survey inception to December 31, 2019. We performed multivariable Cox proportional hazards regression models to estimate adjusted hazard ratios (aHRs) and 95 % confidence intervals (CIs). RESULTS: The study included 425,394 adults; the mean (SD) age was 44 (16.7) years. During a median follow-up period of 11 years, 12,089 CVD-related deaths occurred. In older adults, having overweight was associated with a lower risk of CVD mortality (aHR 0.92 [95 % CI, 0.87-0.97]); having class I obesity (1.04 [0.97-1.12]) and class II obesity (1.12 [1.00-1.26]) was not significantly associated with an increased CVD mortality; and having class III obesity was associated with an increased risk of CVD mortality (1.63 [1.35-1.98]), in comparison with adults who had a normal BMI. Yet, in younger adults, having overweight, class I, II, and III obesity was associated with a progressively higher risk of CVD mortality. The nadir for CVD mortality is 28.2 kg/m2 in older adults and 23.6 kg/m2 in younger adults. CONCLUSION: This U.S. population-based cohort study highlights the significance of considering age as a crucial factor when providing recommendations and delivering self-care educational initiatives for weight loss to reduce CVD mortality.

Satisfaction with Telehealth Care in the United States: Cross-Sectional Survey.

Background: Telehealth use remains high following the COVID-19 pandemic, but patient satisfaction with telehealth care is unclear. Methods: We used cross-sectional data from the Health Information National Trends Survey (HINTS 6). 2,058 English and Spanish-speaking U.S. adults (≥18 years) with a telehealth visit in the 12 months before March-November 2022 were included in this study. The primary outcomes were telehealth visit modality and satisfaction in the 12 months before HINTS 6. We evaluated sociodemographic predictors of telehealth visit modality and satisfaction via Poisson regression. Analyses were weighted according to HINTS standards. Results: We included 2,058 participants (48.4 ± 16.8 years; 57% women; 66% White), of which 70% had an audio-video and 30% an audio-only telehealth visit. Adults with an audio-video visit were more likely to have health insurance (adjusted prevalence ratio [aPR]: 1.55, 95% confidence interval [CI]: 1.18-2.04) and have an annual household income of ≥$75,000 (aPR: 1.18, 95% CI: 1.00-1.39) and less likely to be ≥65 years (aPR: 0.79, 95% CI: 0.70-0.89), adjusting for sociodemographic characteristics. No further inequities were noted by telehealth modality. Seventy-five percent of participants felt that their telehealth visits were as good as in-person care. No significant differences in telehealth satisfaction were observed across sociodemographic characteristics, telehealth modality, or the participants' primary reason for their most recent telehealth visit in adjusted analysis. Conclusions: Among U.S. adults with a telehealth visit, the majority had an audio-video visit and were satisfied with their care. Telehealth should continue, being offered following COVID-19, as it is uniformly valued by patients.

Shared Decision-Making in Cardiovascular Risk Factor Management: A Systematic Review and Meta-Analysis.

Importance: The effect of shared decision-making (SDM) and the extent of its use in interventions to improve cardiovascular risk remain unclear. Objective: To assess the extent to which SDM is used in interventions aimed to enhance the management of cardiovascular risk factors and to explore the association of SDM with decisional outcomes, cardiovascular risk factors, and health behaviors. Data Sources: For this systematic review and meta-analysis, a literature search was conducted in the Medline, CINAHL, Embase, Cochrane, Web of Science, Scopus, and ClinicalTrials.gov databases for articles published from inception to June 24, 2022, without language restrictions. Study Selection: Randomized clinical trials (RCTs) comparing SDM-based interventions with standard of care for cardiovascular risk factor management were included. Data Extraction and Synthesis: The systematic search resulted in 9365 references. Duplicates were removed, and 2 independent reviewers screened the trials (title, abstract, and full text) and extracted data. Data were pooled using a random-effects model. The review was conducted according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) reporting guideline. Main Outcomes and Measures: Decisional outcomes, cardiovascular risk factor outcomes, and health behavioral outcomes. Results: This review included 57 RCTs with 88 578 patients and 1341 clinicians. A total of 59 articles were included, as 2 RCTs were reported twice. Nearly half of the studies (29 [49.2%]) tested interventions that targeted both patients and clinicians, and an equal number (29 [49.2%]) exclusively focused on patients. More than half (32 [54.2%]) focused on diabetes management, and one-quarter focused on multiple cardiovascular risk factors (14 [23.7%]). Most studies (35 [59.3%]) assessed cardiovascular risk factors and health behaviors as well as decisional outcomes. The quality of studies reviewed was low to fair. The SDM intervention was associated with a decrease of 4.21 points (95% CI, -8.21 to -0.21) in Decisional Conflict Scale scores (9 trials; I2 = 85.6%) and a decrease of 0.20% (95% CI, -0.39% to -0.01%) in hemoglobin A1c (HbA1c) levels (18 trials; I2 = 84.2%). Conclusions and Relevance: In this systematic review and meta-analysis of the current state of research on SDM interventions for cardiovascular risk management, there was a slight reduction in decisional conflict and an improvement in HbA1c levels with substantial heterogeneity. High-quality studies are needed to inform the use of SDM to improve cardiovascular risk management.

Heterogeneity in the Prevalence of Cardiovascular Risk Factors by Ethnicity and Birthplace Among Asian Subgroups: Evidence From the 2010 to 2018 National Health Interview Survey.

BACKGROUND: Asian people in the United States have different sociodemographic and health-related characteristics that might affect cardiovascular disease (CVD) risk by ethnicity and birthplace. However, they are often studied as a monolithic group in health care research. This study aimed to examine heterogeneity in CVD risk factors on the basis of birthplace among the 3 largest Asian subgroups (Chinese, Asian Indian, and Filipino) compared with US-born non-Hispanic White (NHW) adults. METHODS AND RESULTS: A cross-sectional analysis was conducted using the 2010 to 2018 National Health Interview Survey data from 125 008 US-born and foreign-born Chinese, Asian Indian, Filipino, and US-born NHW adults. Generalized linear models with Poisson distribution were used to examine the prevalence and prevalence ratios of self-reported hypertension, diabetes, high cholesterol, physical inactivity, smoking, and overweight/obesity among Asian subgroups compared with US-born NHW adults. The study included 118 979 US-born NHW and 6029 Asian adults who self-identified as Chinese (29%), Asian Indian (33%), and Filipino (38%). Participants' mean (±SD) age was 49±0.1 years, and 53% were females. In an adjusted analysis, foreign-born Asian Indians had significantly higher prevalence of diabetes, physical inactivity, and overweight/obesity; foreign-born Chinese had higher prevalence of physical inactivity, and foreign-born Filipinos had higher prevalence of all 5 CVD risk factors except smoking compared with NHW adults. CONCLUSIONS: This study revealed significant heterogeneity in the prevalence of CVD risk factors among Asian subgroups by ethnicity and birthplace, stressing the necessity of disaggregating Asian subgroup data. Providers should consider this heterogeneity in CVD risk factors and establish tailored CVD prevention plans for Asian subgroups.

Blood Pressure Measurements Obtained by Community-Dwelling Adults Are Similar to Nurse-Obtained Measurements: The SMART-BP Validate Study.

BACKGROUND: Self-measured blood pressure (SMBP) is an effective strategy for managing and controlling hypertension. However, uncertainty regarding patients' ability to accurately measure their blood pressure (BP) contributes to treatment inertia. Therefore, we compared BP measurements with the Omron HEM-9210T device obtained by nurses and community-dwelling adults after training. METHODS: This cross-sectional study was conducted in a simulated home environment at an academic institution. After a 5-min rest, a trained nurse measured a participant's BP twice at a 1-min interval. The participants then ambulated at their usual pace for 2 min. Next, they were asked to rest for 5 min, during which each individual watched a 3-min video on SMBP. Following the rest, the participants obtained two readings at a 1-min interval. RESULTS: We recruited 102 community-dwelling adults with a mean age of 54 (±14) years; 59% female, 88% Black race, and 63% with a hypertension diagnosis. Half (n = 51) had a home BP monitor. Overall, there were no significant differences between nurse- and participant-obtained systolic BP (mean difference [MD]: -1.1; standard deviation [SD]: 8.0; P = 0.178) or diastolic BP (MD: -0.9; SD: 5.5; P = 0.111). Participants who used an extra-large cuff had higher self-measured diastolic BP (MD: -2.9; SD: 4.5; P = 0.010). All participants demonstrated satisfactory SMBP skills after the training. CONCLUSIONS: Community-dwelling adults can accurately measure BP after a 3-min video training. Integrating SMBP training into patient encounters may result in reliable home BP measurements, improving hypertension management and clinical decision making.

Grassroots and Digital Outreach Strategies Raise Awareness of COVID-19 Information and Research in Baltimore City.

We aimed to disseminate reliable COVID-19 information to the Black and Latino communities of Baltimore City, Maryland, between July 2020 and December 2022. With community partners, we disseminated evidence-based COVID-19 information via grassroots and digital strategies, including Hopkins Opportunity for Participant Engagement, and connected volunteers to COVID-19 research. Using a multimodal approach facilitated dissemination of reliable information and raised awareness of research; evaluation of trust is ongoing. Robust, multimodal strategies are needed to foster trust and equity among diverse communities. (Am J Public Health. 2024;114(S1):S69-S73. https://doi.org/10.2105/AJPH.2023.307492).

Using rapid response system trigger clusters to characterize patterns of clinical deterioration among hospitalized adult patients.

BACKGROUND: Many rapid response system (RRS) events are activated using multiple triggers. However, the patterns in which multiple RRS triggers occur together to activate RRS events are unknown. The purpose of this study was to identify these patterns (RRS trigger clusters) and determine their association with outcomes among hospitalized adult patients. METHODS: RRS events among adult patients from January 2015 to December 2019 in the Get With The Guidelines- Resuscitation registry's MET module were examined (n = 134,406). Cluster analysis methods were performed to identify RRS trigger clusters. Pearson's chi-squared and ANOVA tests were used to examine differences in patient characteristics across RRS trigger clusters. Multilevel logistic regressions were used to examine the associations between RRS trigger clusters and outcomes. RESULTS: Six RRS trigger clusters were identified. Predominant RRS triggers for each cluster were: tachypnea, new onset difficulty in breathing, decreased oxygen saturation (Cluster 1); tachypnea, decreased oxygen saturation, staff concern (Cluster 2); respiratory depression, decreased oxygen saturation, mental status changes (Cluster 3); tachycardia, staff concern (Cluster 4); mental status changes (Cluster 5); hypotension, staff concern (Cluster 6). Significant differences in patient characteristics were observed across clusters. Patients in Clusters 3 and 6 had an increased likelihood of in-hospital cardiac arrest (p < 0.01). All clusters had an increased risk of mortality (p < 0.01). CONCLUSIONS: We discovered six novel RRS trigger clusters with differing relationships to adverse patient outcomes. RRS trigger clusters may prove crucial in clarifying the associations between RRS events and adverse outcomes and aiding in clinician decision-making during RRS events.

The associations between rapid response systems and their components with patient outcomes: A scoping review.

Background: While rapid response systems have been widely implemented, their impact on patient outcomes remains unclear. Further understanding of their components-including medical emergency team triggers, medical emergency team member composition, additional roles in patient care beyond responding to medical emergency team events, and their involvement in "Do-Not-Resuscitate" order placement-may elucidate the relationship between rapid response systems and outcomes. Objective: To explore how recent studies have examined rapid response system components in the context of relevant adverse patient outcomes, such as in-hospital cardiac arrests and hospital mortality. Design: Scoping review. Methods: PubMed, CINAHL, and Embase were searched for articles published between November 2014 and June 2022. Studies mainly focused on rapid response systems and associations with in-hospital cardiac arrests were considered. The following were extracted for analysis: study design, location, sample size, participant characteristics, system characteristics (including medical emergency team member composition, additional system roles outside of medical emergency team events), medical emergency team triggers, in-hospital cardiac arrests, and hospital mortality. Results: Thirty-four studies met inclusion criteria. While most studies described triggers used, few analyzed medical emergency team trigger associations with outcomes. Of those, medical emergency team triggers relating to respiratory abnormalities and use of multiple triggers to activate the medical emergency team were associated with adverse patient outcomes. Many studies described medical emergency team member composition, but the way composition was reported varied across studies. Of the seven studies with dedicated medical emergency team members, six found their systems were associated with decreased incidence of in-hospital cardiac arrests. Six of seven studies that described additional medical emergency team roles in educating staff in rapid response system use found their systems were associated with significant decreases in adverse patient outcomes. Four of five studies that described proactive rounding responsibilities reported found their systems were associated with significant decreases in adverse patient outcomes. Reporting of rapid response system involvement in "Do-Not-Resuscitate" order placement was variable across studies. Conclusions: Inconsistencies in describing rapid response system components and related data and outcomes highlights how these systems are complex to a degree not fully captured in existing literature. Further large-scale examination of these components across institutions is warranted. Development and use of robust and standardized metrics to track data related to rapid response system components and related outcomes are needed to optimize these systems and improve patient outcomes.

A Systematic Review of the Hill-Bone Compliance to Blood Pressure Therapy Scale.

Background: Poor medication adherence hampers hypertension control and increases the risk of adverse health outcomes. Medication adherence can be measured with direct and indirect methods. The Hill-Bone Compliance to High Blood Pressure Therapy (HBCHBPT) Scale, one of the most popular adherence measures, indirectly assesses adherence to hypertension therapy in three behavioral domains: appointment keeping, diet and medication adherence. Aim: To synthesize evidence on the use of the HBCHBPT Scale, including psychometric properties, utility in diverse patient populations, and directions for future clinical use and research. Methods: We searched electronic databases, specifically CINAHL, PubMed, PsychInfo, Embase, and Web of Science. We included original studies that used the HBCHBPT Scale or its subscales to measure a health outcome, or methodological studies involving translations and validations of the scale. We extracted and synthesized data following the Preferred Reporting Items for Systematic Reviews and Meta-analysis (PRISMA) guidelines. Results: Fifty studies were included in this review, 44 on hypertension, two on diabetes, and others on other chronic conditions. The scale was successfully translated into numerous languages and used in descriptive and intervention studies. The scale demonstrated sound psychometric properties (Cronbach's α coefficient 0.75) and sensitivity to capture intervention effects when used to evaluate the effectiveness of high blood pressure adherence interventions. The medication-taking subscale of HBCHBPT performs best and is widely used in diverse contexts to assess medication adherence for chronic conditions. Conclusion: The HBCHBPT Scale has high versatility globally and has been used in various settings by various healthcare worker cadres and researchers. The scale has several strengths, including high adherence phenotyping capabilities, contributing to the paradigm shift toward personalized health care.

Strategies for Improving Enrollment of Diverse Populations with a Focus on Lipid-Lowering Clinical Trials.

PURPOSE OF REVIEW: We review under-representation of key demographic groups in cardiovascular clinical trials, focusing on lipid-lowering trials. We outline multilevel strategies to recruit and retain diverse populations in cardiovascular trials. RECENT FINDINGS: Barriers to participation in trials occur at the study, participant, health system, sponsor, and policy level, requiring a multilevel approach to effectively increase participation of under-represented groups in research. Increasing the representation of marginalized and under-represented groups in leadership positions in clinical trials can ensure that their perspectives and experiences are considered. Trial design should prioritize patient- and community-indicated needs. Women and individuals from racially/ethnically diverse populations remain under-represented in lipid-lowering and other cardiovascular clinical trials relative to their disease burden in the population. This limits the generalizability of trial results to the broader population in clinical practice. Collaboration between community stakeholders, researchers, and community members can facilitate shared learning about trials and build trust.

Use of Human-Centered Design Methodology to Develop a Digital Toolkit to Optimize Heart Failure Guideline-Directed Medical Therapy.

BACKGROUND: Guideline-directed medical therapies (GDMTs) improve quality of life and health outcomes for patients with heart failure (HF). However, GDMT utilization is suboptimal among patients with HF. OBJECTIVE: The aims of this study were to engage key stakeholders in semistructured, virtual human-centered design sessions to identify challenges in GDMT optimization posthospitalization and inform the development of a digital toolkit aimed at optimizing HF GDMTs. METHODS: For the human-centered design sessions, we recruited (a) clinicians who care for patients with HF across 3 hospital systems, (b) patients with HF with reduced ejection fraction (ejection fraction ≤ 40%) discharged from the hospital within 30 days of enrollment, and (c) caregivers. All participants were 18 years or older, English speaking, with Internet access. RESULTS: A total of 10 clinicians (median age, 37 years [interquartile range, 35-41], 12 years [interquartile range, 10-14] of experience caring for patients with HF, 80% women, 50% White, 50% nurse practitioners) and three patients and one caregiver (median age 57 years [IQR: 53-60], 75% men, 50% Black, 75% married) were included. Five themes emerged from the clinician sessions on challenges to GDMT optimization (eg, barriers to patient buy-in). Six themes on challenges (eg, managing medications), 4 themes on motivators (eg, regaining independence), and 3 themes on facilitators (eg, social support) to HF management arose from the patient and caregiver sessions. CONCLUSIONS: The clinician, patient, and caregiver insights identified through human-centered design will inform a digital toolkit aimed at optimizing HF GDMTs, including a patient-facing smartphone application and clinician dashboard. This digital toolkit will be evaluated in a multicenter, clinical trial.

Racial Disparities in Shared Decision-Making and the Use of mHealth Technology Among Adults With Hypertension in the 2017-2020 Health Information National Trends Survey: Cross-Sectional Study in the United States.

BACKGROUND: Mobile health (mHealth) technology has the potential to support shared decision-making (SDM) and improve hypertension control. However, our understanding of the variations in individuals' involvement in SDM and mHealth usage across different racial and ethnic groups in the United States is still limited. OBJECTIVE: This study aimed to investigate the extent of involvement in SDM and the usage of mHealth technology in health-related activities among US adults with hypertension from diverse racial and ethnic backgrounds and to examine whether the mHealth usage differed by individuals' level of engagement in SDM. METHODS: This study used cross-sectional data from the 2017 to 2020 Health Information National Trends Survey, which was conducted on US adults with self-reported hypertension, and race and ethnicity data were included. The exposure of interest was race and ethnicity. The outcomes were SDM and mHealth usage. SDM was assessed using an item: "In the past 12 months, how often did your health professional: involve you in decisions about your healthcare as much as you wanted?" mHealth usage was defined as using a smartphone or tablet to engage in (1) making health decisions, (2) discussing health decisions with health providers, (3) tracking health progress, and (4) sharing health information. Weighted multivariable logistic regression models were used to examine the association between race and ethnicity and SDM or mHealth usage adjusted for covariates and stratified by the level of engagement in SDM. RESULTS: This study included 4893 adults with hypertension, and the mean age was 61 (SD 13) years. The sample was 53% female, 61% (n=3006) non-Hispanic White, 19% (n=907) non-Hispanic Black or African American, 12% (n=605) Hispanic, 4% (n=193) non-Hispanic Asian, and 4% (n=182) non-Hispanic other. Compared to the non-Hispanic White adults, non-Hispanic Black adults were more likely to use mHealth to make health decisions (adjusted odds ratio [aOR] 1.70, 95% CI 1.23-2.34), share health information (aOR 1.46, 95% CI 1.02-2.08), and discuss health decisions with health providers (aOR 1.38, 95% CI 1.02-1.87). Significant associations were observed specifically among those who were always involved in SDM. Asian adults were less likely to be involved in SDM (aOR 0.51, 95% CI 0.26-0.99) and were more likely to use mHealth to track progress on a health-related goal (aOR 2.07, 95% CI 1.28-3.34) than non-Hispanic White adults. Hispanic adults were less likely to use mHealth to share health information (aOR 0.47, 95% CI 0.33-0.67) and discuss health decisions with health providers (aOR 0.65, 95% CI 0.46-0.94) compared to non-Hispanic White adults. CONCLUSIONS: This study observed racial and ethnic disparities in SDM and mHealth usage among US adults with hypertension. These findings emphasize the significance of comprehending the involvement of SDM and the usage of mHealth technology within racially and ethnically diverse populations.

Integrating community voices in the research continuum: Perspectives on a consultation service.

The Community Research Advisory Council (C-RAC) of the Johns Hopkins Institute for Clinical and Translational Research was established in 2009 to provide community-engaged research consultation services. In 2016-2017, C-RAC members and researchers were surveyed on their consultation experiences. Survey results and a 2019 stakeholder meeting proceeding helped redesign the consultation services. Transitioning to virtual consultations during COVID-19, the redesigning involved increasing visibility, providing consultation materials in advance, expanding member training, and effective communications. An increase in consultations from 28 (2009-2017) to 114 (2020-2022) was observed. Implementing stakeholder-researcher inputs is critical to holistic and sustained community-engaged research.

Shared Decision-Making and Cardiovascular Health: A Scientific Statement From the American Heart Association.

Shared decision-making is increasingly embraced in health care and recommended in cardiovascular guidelines. Patient involvement in health care decisions, patient-clinician communication, and models of patient-centered care are critical to improve health outcomes and to promote equity, but formal models and evaluation in cardiovascular care are nascent. Shared decision-making promotes equity by involving clinicians and patients, sharing the best available evidence, and recognizing the needs, values, and experiences of individuals and their families when faced with the task of making decisions. Broad endorsement of shared decision-making as a critical component of high-quality, value-based care has raised our awareness, although uptake in clinical practice remains suboptimal for a range of patient, clinician, and system issues. Strategies effective in promoting shared decision-making include educating clinicians on communication techniques, engaging multidisciplinary medical teams, incorporating trained decision coaches, and using tools (ie, patient decision aids) at appropriate literacy and numeracy levels to support patients in their cardiovascular decisions. This scientific statement shines a light on the limited but growing body of evidence of the impact of shared decision-making on cardiovascular outcomes and the potential of shared decision-making as a driver of health equity so that everyone has just opportunities. Multilevel solutions must align to address challenges in policies and reimbursement, system-level leadership and infrastructure, clinician training, access to decision aids, and patient engagement to fully support patients and clinicians to engage in the shared decision-making process and to drive equity and improvement in cardiovascular outcomes.

Health systems interventions for hypertension management and associated outcomes in Sub-Saharan Africa: A systematic review.

Hypertension is a significant global health problem, particularly in Sub-Saharan Africa (SSA). Despite the effectiveness of medications and lifestyle interventions in reducing blood pressure, shortfalls across health systems continue to impede progress in achieving optimal hypertension control rates. The current review explores the health system interventions on hypertension management and associated outcomes in SSA. The World Health Organization health systems framework guided the literature search and discussion of findings. We searched PubMed, CINAHL, and Embase databases for studies published between January 2010 and October 2022 and followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. We assessed studies for the risk of bias using the tools from the Joanna Briggs Institute. Twelve studies clustered in 8 SSA countries met the inclusion criteria. Two thirds (8/12) of the included studies had low risk of bias. Most interventions focused on health workforce factors such as providers' knowledge and task shifting of hypertension care to unconventional health professionals (n = 10). Other health systems interventions addressed the supply and availability of medical products and technology (n = 5) and health information systems (n = 5); while fewer interventions sought to improve financing (n = 3), service delivery (n = 1), and leadership and governance (n = 1) aspects of the health systems. Health systems interventions showed varied effects on blood pressure outcomes but interventions targeting multiple aspects of health systems were likely associated with improved blood pressure outcomes. The general limitations of the overall body of literature was that studies were likely small, with short duration, and underpowered. In conclusion, the literature on health systems internventions addressing hypertension care are limited in quantity and quality. Future studies that are adequately powered should test the effect of multi-faceted health system interventions on hypertension outcomes with a special focus on financing, leadership and governance, and service delivery interventions since these aspects were least explored.

Heterogeneity in Cardiovascular Disease Risk Factors Among Latino Immigrant Subgroups: Evidence From the 2010 to 2018 National Health Interview Survey.

Background The Latino population is a growing and diverse share of the US population. Previous studies have examined Latino immigrants as a homogenous group. The authors hypothesized that there would be heterogeneity in cardiovascular disease risk factors among Latino immigrant subgroups (from Mexico, Puerto Rico, Cuba, Dominican Republic, Central America, or South America) compared with non-Latino White adults. Methods and Results A cross-sectional analysis of the 2010 to 2018 National Health Interview Survey (NHIS) among 548 739 individuals was performed. Generalized linear models with Poisson distribution were fitted to compare the prevalence of self-reported hypertension, overweight/obesity, diabetes, high cholesterol, physical inactivity, and current smoking, adjusting for known confounders. The authors included 474 968 non-Latino White adults and 73 771 Latino immigrants from Mexico (59%), Puerto Rico (7%), Cuba (6%), Dominican Republic (5%), Central America (15%), and South America (9%). Compared with White adults, Mexican immigrants had the highest prevalence of overweight/obesity (prevalence ratio [PR], 1.17 [95% CI, 1.15-1.19]); Puerto Rican individuals had the highest prevalence of diabetes (PR, 1.63 [95% CI, 1.45-1.83]); individuals from Central America had the highest prevalence of high cholesterol (PR, 1.16 [95% CI, 1.04-1.28]); and individuals from the Dominican Republic had the highest prevalence of physical inactivity (PR, 1.25 [95% CI, 1.18-1.32]). All Latino immigrant subgroups were less likely to be smokers than White adults. Conclusions The authors observed advantages and disparities in cardiovascular disease risk factors among Latino immigrants. Aggregating data on Latino individuals may mask differences in cardiovascular disease risk and hinder efforts to reduce health disparities in this population. Study findings provide Latino group-specific actionable information and targets for improving cardiovascular health.

Design and Rationale of the Home Blood Pressure Telemonitoring Linked with Community Health Workers to Improve Blood Pressure (LINKED-BP) Program.

BACKGROUND: Disparities in hypertension outcomes persist among Black and Hispanic adults and persons living in poverty in the United States. The "LINKED-BP Program" is a multi-level intervention linking home blood pressure (BP) monitoring with a mobile health application, support from community health workers (CHWs), and BP measurement training at primary care practices to improve BP. This study is part of the American Heart Association RESTORE (AddREssing Social Determinants TO pRevent hypErtension) Network. This study aims to examine the effect of the LINKED-BP Program on BP reduction and to evaluate the reach, adoption, sustainability, and cost-effectiveness of the intervention. METHODS: Using a hybrid type I effectiveness-implementation design, 600 adults who have elevated BP or untreated stage 1 hypertension without diabetes, chronic kidney disease, history of cardiovascular disease (stroke or coronary heart disease) and age < 65 years will be recruited from 20 primary care practices including community health centers in the Maryland area. The practices are randomly assigned to the intervention or the enhanced usual care arms. Patients in the LINKED-BP Program receive training on home BP monitoring, BP telemonitoring through the Sphygmo app, and CHW telehealth visits for education and counseling on lifestyle modification over 12 months. The primary clinical outcome is change from baseline in systolic BP at 6 and 12 months. DISCUSSIONS: The LINKED-BP Program tests a sustainable, scalable approach to prevent hypertension and advance health equity. The findings will inform implementation strategies that address social determinants of health and barriers to hypertension prevention in underserved populations. CLINICALTRIALS.GOV IDENTIFIER: NCT05180045.

Determinants of Daytime Sleepiness Among Middle-Aged Adults.

Daytime sleepiness is highly prevalent in middle-aged adults and has a detrimental impact on their quality of life. Our study examined the psychological and behavioral determinants of daytime sleepiness among adults aged 35 to 64 years. The main variables of interest were psychological factors (perceived stress and anxiety), physical activity factors (moderate-to-vigorous physical activity and sedentary behaviors), and dietary factors (fat, sugar, fruit, and vegetable intake). Partial correlation and multiple linear regression were conducted to determine their associations with daytime sleepiness, with adjustment for covariates. Our sample included 87 adults with a mean age of 47 ± 9 years. About 21% met the criterion for excessive daytime sleepiness. Greater anxiety, longer time spent in sedentary behaviors, and higher consumption of foods rich in trans fat, sugar, and calories were independently associated with higher daytime sleepiness levels. Targeted interventions or treatments are warranted to address the identified risk factors for middle-aged adults.