Call to Action: Rural Health: A Presidential Advisory From the American Heart Association and American Stroke Association

Examining rural-urban disparities in perceived need for health care services among adults with disabilities

Purpose

The purpose of this study is to parse out differences between unmet need and perceived need for health care services among rural and urban adults with disabilities in the United States. While unmet need focuses primarily on environmental factors such as access to health insurance or provider availability, perceived need relates to personal choice. This distinction between unmet and perceived need is largely ignored in prior studies, but relevant to public health strategies to improve access and uptake of preventive care.

Methods

Using Wave 2 data from the National Survey on Health and Disability, we explored rural and urban differences in unmet and perceived health care needs among working-age adults with disabilities for acute and preventive services.

Findings

Although we found no significant differences in unmet needs between rural and urban respondents, we found that perceived needs for dental care and mental health counseling varied significantly across geography. Using logistic regression analysis and controlling for observable participant characteristics, we found that respondents living in noncore counties relative to metropolitan counties were more likely to report not needing dental care (OR 1.89, p = 0.028), and not needing mental health counseling services (OR 2.15, p ≤ 0.001).

Conclusion

These findings suggest additional study is warranted to understand perceived need for preventive services and the levers for addressing rural disparities.

Establishing Care Post Discharge Following a Heart Failure Hospitalization in an Uninsured Heart Failure Population

Multidisciplinary interprofessional outpatient care improves mortality for patients with heart failure (HF) but is underutilized. We sought to identify factors associated with not establishing outpatient care among uninsured individuals with HF. We included uninsured individuals referred to an interprofessional clinic after a hospitalization with HF from 2016 to 2019. The primary outcome was establishing care, defined as presenting to clinic within 7 days of discharge from the hospital. We constructed multivariable adjusted logistic regression models to identify predictors of establishing care. A total of 698 uninsured individuals were referred, of whom 583 (84%) established care. Mean age was 49.5 ± 11 years, 15% were rural-dwelling, 59% were black, and 31% were female. Black participants who were rural-dwelling (adusted odds ratio [aOR] 0.07, 95% confidence interval [CI] 0.03 to 0.17) or reported alcohol use (aOR 0.32, 95% CI 0.16 to 0.64) had lower odds of establishing care. White participants who were rural-dwelling (aOR 2.63, 95% CI 1.17 to 5.90) had higher odds of establishing care. Uninsured black individuals with HF who live in rural communities or who are active alcohol users represent a group that is at high risk of not establishing outpatient follow-up after a hospitalization with HF. Efforts to reduce this disparity are warranted to improve health outcomes in this population.

Rural-Urban Disparities in Heart Failure and Acute Myocardial Infarction Hospitalizations

Substantial gaps in clinical outcomes exist in rural and urban hospitals in the United States. We used the National Inpatient Sample to examine trends in hospitalizations, in-hospital mortality, length of stay, and inflation-adjusted cost of adults admitted for heart failure (HF) and acute myocardial infarction (AMI) in rural and urban hospitals between 2004 and 2018. From 2004 to 2013 and 2014, there was an initial decrease in age-adjusted HF hospitalizations in both urban (annual percent change [APC] -3.9 [95% confidence interval [CI] -4.3 to -3.5] p <0.001) and rural hospitals (APC -5.9 [95% CI -6.4 to -5.3] p <0.001), after which hospitalizations for HF increased in urban areas (APC 4.2 [95% CI 3.2 to 5.3] p <0.001) and remained stable in rural areas (APC 0.2 [95% CI -2.1 to 2.6] p = 0.863). Urban AMI hospitalizations decreased between 2004 and 2010 (APC -4.4 [95% CI -5.3 to -3.3] p <0.001) and subsequently remained stable (APC 0.2 [95% CI -0.5 to 0.9] p = 0.552), whereas rural AMI hospitalizations had a consistent decrease throughout the study period (APC -4.2 [95% CI -5.0 to -3.4] p <0.001). Overall, urban hospitals had lower in-hospital mortality for HF and AMI than rural hospitals (3.1% vs 3.5%, p <0.001% and 5.4% vs 6.5%, p <0.001), respectively. Initially, in-hospital mortality was higher in rural hospitals; however, the rural-urban hospital mortality gap decreased during the study period for both HF and AMI. Rural hospitals had a shorter mean length of stay for HF and AMI (4.4 vs 5.5 days, p <0.001 and 3.9 vs 4.7 days, p <0.001) and lower inflation-adjusted costs for both HF and AMI ($8,897.1 vs $13,420.8, p <0.001 and $15,301.6 vs $22,943.7, p <0.001) when compared with urban hospitals. In conclusion, a consistent decrease in the in-hospital mortality gap in rural and urban hospitals for HF and AMI suggests improvement in inpatient rural cardiovascular care during the study period. Continued healthcare policy reforms are warranted to alleviate the disparities in rural-urban cardiovascular outcomes.

Intake of Fruits, Vegetables, and Sugar-Sweetened Beverages among a Sample of Children in Rural Northern Ontario, Canada

There is evidence to suggest that dietary intake of children differs by rural/urban place of residence: rural children may have a higher intake of foods high in fat and sugar than those living in urban environments. The aim of this study was to examine the intake of fruits and vegetables (FV) and the frequency of sugar-sweetened beverage (SSB) consumption, among a sample of rural children in Northern Ontario, Canada, in two different seasons. Sociodemographic factors and children's FV and SSB intake were measured using two repeated cross-sectional surveys, and seasonal information was based on the month of data collection. Logistic regressions were used to examine the odds of children eating five or more FVs, and the odds of 'frequently or always' consuming SSBs. During the fall, children reported eating five or more FV more often, when compared to winter (53.9% vs. 48.3%). In the fall, 25.8% of children reported 'frequently or always' drinking SSB, compared with 16.9% in winter. Indigenous children were less likely to eat five or more FV (OR 0.34 (95% CI 0.12-0.95)) in the fall when compared to non-Indigenous children. Findings indicate that intake of FV among rural students in this region is low, and the frequency of SSB is high, when compared with national recommendations.

Variability in intensive care utilization for intracerebral hemorrhage in the United States: Retrospective cohort study

OBJECTIVES

There are urban-rural geographic health disparities in intracerebral hemorrhage (ICH) outcomes. However, there is limited data regarding the relationship between intensive care (ICU) availability and ICH outcomes. We examined whether ICU availability was a significant contributor to ICH outcomes by US geographic region.

MATERIALS AND METHODS

We used de-identified Medicare inpatient datasets from January 2016 to December 2019 and identified all index ICH admissions, stratifying by ICU care received during the hospitalization. Distributions of teaching hospital status, quartile of ICH volume, hospital urban-rural designation, and ICU availability were obtained using chi-square test. Propensity-score matching was utilized to compare outcomes of more favorable outcome, inpatient mortality, and 30-day all-cause readmissions by ICU availability at each hospital.

RESULTS

Out of a total of 119,891 hospitalizations for ICH, 66,306 (55.3%) received ICU-level care. Of hospitals that treated at least one ICH, 42.6% did not provide ICU level care for any ICH admission during the study period. Teaching hospitals (48.0% vs 7.0%; p<0.0001), hospitals with higher ICH case volumes (p<0.0001) and in larger metropolitan areas (p<0.0001) were more likely to have an ICU available. Propensity score-matched models showed that hospital ICU availability was associated with a lower likelihood of inpatient mortality (29.4% vs 33.7%; p=0.0016) CONCLUSIONS: Rural-urban disparities in ICH outcomes are likely multifactorial, but ICU availability likely contributes to the disparity. Additional studies are necessary to elucidate other contributing mechanisms.

Call to Action for Cardiovascular Disease in Women: Epidemiology, Awareness, Access, and Delivery of Equitable Health Care: A Presidential Advisory From the American Heart Association

Addressing the pervasive gaps in knowledge and care delivery to reduce sex-based disparities and achieve equity is fundamental to the American Heart Association's commitment to advancing cardiovascular health for all by 2024. This presidential advisory serves as a call to action for the American Heart Association and other stakeholders around the globe to identify and remove barriers to health care access and quality for women. A concise and current summary of existing data across the areas of risk and prevention, access and delivery of equitable care, and awareness and education provides a framework to consider knowledge gaps and research needs critical toward achieving significant progress for the health and well-being of all women.

The need of an environmental justice approach for wastewater based epidemiology for rural and disadvantaged communities: A review in California

Amid the 2019 coronavirus disease pandemic (COVID-19), the scientific community has a responsibility to provide accessible public health resources within their communities. Wastewater based epidemiology (WBE) has been used to monitor community spread of the pandemic. The goal of this review was to evaluate the need for an environmental justice approach for COVID-19 WBE starting with the state of California in the United States. Methods included a review of the peer-reviewed literature, government-provided data, and news stories. As of June 2021, there were twelve universities, nine public dashboards, and 48 of 384 wastewater treatment plants monitoring wastewater for SARS-CoV-2 within California. The majority of wastewater monitoring in California has been conducted in the urban areas of Coastal and Southern California (34/48), with a lack of monitoring in more rural areas of Central (10/48) and Northern California (4/48). Similar to the access to COVID-19 clinical testing and vaccinations, there is a disparity in access to wastewater testing which can often provide an early warning system to outbreaks. This research demonstrates the need for an environmental justice approach and equity considerations when determining locations for environmental monitoring.

Management of primary hypertension in rural populations

ABSTRACT

Hypertension affects almost 20% of Canada's population and is even more prevalent in rural locations due to decreased availability of healthcare; lower income levels and levels of formal education; and higher rates of obesity, smoking, and alcohol use, among others. This article uses current evidence to describe the management of primary hypertension in rural populations.

Impact of Social Disparities on Cardiovascular Disease and COVID-19 Outcomes: BARRIERS TO CARE AND PREVENTIVE INTERVENTIONS

The COVID-19 pandemic has exposed significant disparities within certain population subsets that manifest through greater disease burden and worse outcomes. In this commentary, we propose specific preventive interventions to address these disparities within the United States.

Does Connected Health Technology Improve Health-Related Outcomes in Rural Cardiac Populations? Systematic Review Narrative Synthesis

Individuals living in rural areas are more likely to experience cardiovascular diseases (CVD) and have increased barriers to regular physical activity in comparison to those in urban areas. This systematic review aimed to understand the types and effects of home-based connected health technologies, used by individuals living in rural areas with CVD. The inclusion criteria included technology deployed at the participant’s home and could be an mHealth (smart device, fitness tracker or app) or telehealth intervention. Nine electronic databases were searched across the date range January 1990–June 2021. A total of 207 full texts were screened, of which five studies were included, consisting of 603 participants. Of the five studies, four used a telehealth intervention and one used a form of wearable technology. All interventions which used a form of telehealth found a reduction in overall healthcare utilisation, and one study found improvements in CVD risk factors. Acceptability of the technologies was mixed, in some studies barriers and challenges were cited. Based on the findings, there is great potential for implementing connected health technologies, but due to the low number of studies which met the inclusion criteria, further research is required within rural areas for those living with cardiovascular disease.

Disparities in Internet Use Among US Stroke Survivors: Implications for Telerehabilitation During COVID-19 and Beyond

Despite evidence-based guidelines,¹ stroke rehabilitation remains underutilized, particularly among women and minorities.² Telerehabilitation is a promising alternative to traditional in-person rehabilitation and offers a novel strategy to overcome access barriers,³ which intensified during the COVID-19 pandemic.⁴ A broadband connection is a prerequisite for its wide adoption but its availability varies across the United States (https://broadbandnow.com/national-broadband-map). Little is known about demographic and geographic variation in internet use among stroke survivors. In this study, we sought to compare internet use in a nationally representative sample of individuals with and without stroke.

Rural-Urban Disparities in Outcomes of Myocardial Infarction, Heart Failure, and Stroke in the United States

BACKGROUND

U.S. policy efforts have focused on reducing rural-urban health inequities. However, it is unclear whether gaps in care and outcomes remain among older adults with acute cardiovascular conditions.

OBJECTIVES

This study aims to evaluate rural-urban differences in procedural care and mortality for acute myocardial infarction (AMI), heart failure (HF), and ischemic stroke.

METHODS

This is a retrospective cross-sectional study of Medicare fee-for-service beneficiaries aged ≥65 years with acute cardiovascular conditions from 2016 to 2018. Cox proportional hazards models with random hospital intercepts were fit to examine the association of presenting to a rural (vs urban) hospital and 30- and 90-day patient-level mortality.

RESULTS

There were 2,182,903 Medicare patients hospitalized with AMI, HF, or ischemic stroke from 2016 to 2018. Patients with AMI were less likely to undergo cardiac catherization (49.7% vs 63.6%, P < 0.001), percutaneous coronary intervention (42.1% vs 45.7%, P < 0.001) or coronary artery bypass graft (9.0% vs 10.2%, P < 0.001) within 30 days at rural versus urban hospitals. Thrombolysis rates (3.1% vs 10.1%, P < 0.001) and endovascular therapy (1.8% vs 3.6%, P < 0.001) for ischemic stroke were lower at rural hospitals. After adjustment for demographics and clinical comorbidities, the 30-day mortality HR was significantly higher among patients presenting to rural hospitals for AMI (HR: 1.10, 95% CI: 1.08 to 1.12), HF (HR: 1.15; 95% CI: 1.13 to 1.16), and ischemic stroke (HR: 1.20; 95% CI: 1.18 to 1.22), with similar patterns at 90 days. These differences were most pronounced for the subset of critical access hospitals that serve remote, rural areas.

CONCLUSIONS

Clinical, public health, and policy efforts are needed to improve rural-urban gaps in care and outcomes for acute cardiovascular conditions.

Trends in the Incidence of New-Onset Hypertensive Disorders of Pregnancy Among Rural and Urban Areas in the United States, 2007 to 2019

Background

Hypertensive disorders of pregnancy are growing public health problems that contribute to maternal morbidity, mortality, and future risk of cardiovascular disease. Given established rural‐urban differences in maternal cardiovascular health, we described contemporary trends in new‐onset hypertensive disorders of pregnancy in the United States.

Methods and Results

We conducted a serial, cross‐sectional analysis of 51 685 525 live births to individuals aged 15 to 44 years from 2007 to 2019 using the Centers for Disease Control and Prevention Natality Database. We included gestational hypertension and preeclampsia/eclampsia in individuals without chronic hypertension and calculated the age‐adjusted incidence (95% CI) per 1000 live births overall and by urbanization status (rural or urban). We used Joinpoint software to identify inflection points and calculate rate of change. We quantified rate ratios to compare the relative incidence in rural compared with urban areas. Incidence (95% CI) of new‐onset hypertensive disorders of pregnancy increased from 2007 to 2019 in both rural (48.6 [48.0–49.2] to 83.9 [83.1–84.7]) and urban (37.0 [36.8–37.2] to 77.2 [76.8–77.6]) areas. The rate of annual increase in new‐onset hypertensive disorders of pregnancy was more rapid after 2014 with greater acceleration in urban compared with rural areas. Rate ratios (95% CI) comparing incidence of new‐onset hypertensive disorders of pregnancy in rural and urban areas decreased from 1.31 (1.30–1.33) in 2007 to 1.09 (1.08–1.10) in 2019.

Conclusions

Incidence of new‐onset hypertensive disorders of pregnancy doubled from 2007 to 2019 with persistent rural‐urban differences highlighting the need for targeted interventions to improve the health of pregnant individuals and their offspring.

Social Determinants of Suboptimal Cardiovascular Health Among Pregnant Women in the United States

Background

Suboptimal cardiovascular health (CVH) and social determinants of health (SDOH) have a significant impact on maternal morbidity and mortality. We aimed to evaluate the association of SDOH with suboptimal CVH among pregnant women in the United States.

Methods and Results

We examined cross‐sectional data of pregnant women aged 18 to 49 years from the National Health Interview Survey (2013–2017). We ascertained optimal and suboptimal CVH based on the presence of 0 to 1 and ≥2 risk factors (hypertension, diabetes, hyperlipidemia, current smoking, obesity, and insufficient physical activity), respectively. We calculated an aggregate SDOH score representing 38 variables from 6 domains (economic stability; neighborhood, physical environment, and social cohesion; community and social context; food; education; and healthcare system) and divided into quartiles. We used Poisson regression model to evaluate the association of SDOH with suboptimal CVH and risk factors. Our study included 1433 pregnant women (28.8±5.5 years, 13% non‐Hispanic Black). Overall, 38.4% (95% CI, 33.9–43.0) had suboptimal CVH versus 51.7% (95% CI, 47.0–56.3) among those in the fourth SDOH quartile. Risk ratios of suboptimal CVH, smoking, obesity, and insufficient physical activity were 2.05 (95% CI, 1.46–2.88), 8.37 (95% CI, 3.00–23.43), 1.54 (95% CI, 1.17–2.03), and 1.19 (95% CI, 1.01–1.42), respectively among those in the fourth SDOH quartile compared with the first quartile.

Conclusions

Over 50% of pregnant women with the highest SDOH burden had suboptimal CVH, highlighting the public health urgency for interventions in socially disadvantaged pregnant women with renewed strategies toward improving modifiable risk factors, especially smoking and insufficient physical activity.

ACO Investment Model Produced Savings, But The Majority Of Participants Exited When Faced With Downside Risk

Medicare's Accountable Care Organization (ACO) Investment Model (AIM) provided up-front funding to forty-one small, rurally located ACOs to encourage their participation in the Medicare Shared Savings Program. We estimate net savings to Medicare of $381.5 million over three years, driven by utilization reductions in inpatient and other institutional care and by the absence of shared risk for potential increases in Medicare spending incurred by participants. These savings suggest that population-based payment models can enable providers to better meet the needs of rural populations through greater flexibility in care delivery. However, nearly two-thirds of AIM ACOs exited the Medicare Shared Savings Program when faced with the requirement to assume downside financial risk, starting in year four of participation. As the Centers for Medicare and Medicaid Services builds on AIM and rural hospital global payment models, our findings suggest that new payment models can support more efficient use of resources to meet the health care needs of rural populations. However, the findings also caution against the vigorous pursuit of savings as a primary goal of payment models in traditionally underserved communities.

Assessment of Chronic Disease Management Strategies Among Health Care Practices in Medically Underserved South Carolina Counties

Diabetes and heart disease are among the leading causes of death and disability in the United States, and these conditions are especially prevalent in the South. South Carolina's persistent racial and socioeconomic disparities in chronic disease outcomes are well-documented, yet little is known about how health care practices in medically underserved areas are addressing these challenges. Data were collected through a cross-sectional survey as part of two complementary 5-year cooperative agreements between the Centers for Disease Control and Prevention and the Division of Diabetes and Heart Disease Management (the Division) at the South Carolina Department of Health and Environmental Control. The Division fielded a survey to (a) assist in determining which Rural Health Clinics (RHCs) and Federally Qualified Health Centers (FQHCs) were best poised to implement specific strategies as part of these cooperative agreements and (b) provide data to establish the baseline for performance measures. FQHCs and RHCs in the top 25% of counties with the highest diabetes and heart disease burden were surveyed about eight domains: staffing/services, electronic health records, team-based care policies, lifestyle change programs, medication therapy management, telehealth, quality improvement collaboratives, and patient demographics. Data representing 71 practices revealed contrasts between RHCs and FQHCs and opportunities for improvement. For example, while most practices reported they were not implementing evidence-based lifestyle change programs (e.g., the National Diabetes Prevention Program), most RHCs and FQHCs expressed interest in starting such programs. Findings are being used to guide efforts to improve diabetes and heart disease prevention and management in South Carolina.

Reducing disparities in adverse pregnancy outcomes in the United States

There is growing evidence that rural and racial disparities and social determinants of health (SDOH) impact adverse pregnancy outcomes (APOs) and overall maternal mortality in the United States. These APOs, such as preeclampsia, preterm birth, and intrauterine growth restriction, are in-turn associated with increased risk of future cardiovascular disease (CVD) later in life. Importantly, SDOH such as socioeconomic disadvantages, poor health literacy, transportation barriers, lack of access to adequate health care, food insecurity, and psychosocial stressors have cascading effects on APOs and downstream cardiovascular health. These SDOH are also deeply intertwined with and compounded by existing racial and rural disparities. Pregnancy thus provides a unique opportunity to identify at-risk women from a social determinants perspective, and provide early interventions to optimize long-term CVD and mitigate cardiovascular health disparities. Addressing the challenges posed by these disparities requires a multi-pronged approach and involves national, regional, and individual level solutions. Eliminating disparities will necessitate a nationwide obligation to ensure health care equity via enhanced health insurance coverage, resource investment, and public and clinician accountability.

Association Between Area-Level Socioeconomic Deprivation and Diabetes Care Quality in US Primary Care Practices

IMPORTANCE

Diabetes management operates under a complex interrelationship between behavioral, social, and economic factors that affect a patient's ability to self-manage and access care.

OBJECTIVE

To examine the association between 2 complementary area-based metrics, area deprivation index (ADI) score and rurality, and optimal diabetes care.

DESIGN, SETTING, AND PARTICIPANTS

This cross-sectional study analyzed the electronic health records of patients who were receiving care at any of the 75 Mayo Clinic or Mayo Clinic Health System primary care practices in Minnesota, Iowa, and Wisconsin in 2019. Participants were adults with diabetes aged 18 to 75 years. All data were abstracted and analyzed between June 1 and November 30, 2020.

MAIN OUTCOMES AND MEASURES

The primary outcome was the attainment of all 5 components of the D5 metric of optimal diabetes care: glycemic control (hemoglobin A1c <8.0%), blood pressure (BP) control (systolic BP <140 mm Hg and diastolic BP <90 mm Hg), lipid control (use of statin therapy according to recommended guidelines), aspirin use (for patients with ischemic vascular disease), and no tobacco use. The proportion of patients receiving optimal diabetes care was calculated as a function of block group-level ADI score (a composite measure of 17 US Census indicators) and zip code-level rurality (calculated using Rural-Urban Commuting Area codes). Odds of achieving the D5 metric and its components were assessed using logistic regression that was adjusted for demographic characteristics, coronary artery disease history, and primary care team specialty.

RESULTS

Among the 31 934 patients included in the study (mean [SD] age, 59 [11.7] years; 17 645 men [55.3%]), 13 138 (41.1%) achieved the D5 metric of optimal diabetes care. Overall, 4090 patients (12.8%) resided in the least deprived quintile (quintile 1) of block groups and 1614 (5.1%) lived in the most deprived quintile (quintile 5), while 9193 patients (28.8%) lived in rural areas and 2299 (7.2%) in highly rural areas. The odds of meeting the D5 metric were lower for individuals residing in quintile 5 vs quintile 1 block groups (odds ratio [OR], 0.72; 95% CI, 0.67-0.78). Patients residing in rural (OR, 0.84; 95% CI, 0.73-0.97) and highly rural (OR, 0.81; 95% CI, 0.72-0.91) zip codes were also less likely to attain the D5 metric compared with those in urban areas.

CONCLUSIONS AND RELEVANCE

This cross-sectional study found that patients living in more deprived and rural areas were significantly less likely to attain high-quality diabetes care compared with those living in less deprived and urban areas. The results call for geographically targeted population health management efforts by health systems, public health agencies, and payers.

Prevention Starts in the Womb: Opportunities for Addressing Cardiovascular Risk Factors During Pregnancy and Beyond

Early identification and mitigation of sex-specific cardiovascular disease risk factors is a potential trajectory-changing strategy to improve lifelong cardiovascular health in women. These sex-specific risk factors include adverse pregnancy outcomes, polycystic ovarian syndrome, and premature menopause. We start by discussing the impact and management of risk factors for adverse pregnancy outcomes as an upstream intervention for cardiovascular disease risk reduction and then address the long-term effect and mitigation of sex-specific risk factors for cardiovascular disease.

Racial and Urban-Rural Difference in the Frequency of Ischemic Stroke as Initial Manifestation of Atrial Fibrillation

Objective: Atrial fibrillation (AF) may remain undiagnosed until the development of complications. We aimed to examine the epidemiology and racial/ethnic and rural/urban differences in the frequency of newly diagnosed AF manifesting as ischemic stroke in a nationally representative sample of Medicare beneficiaries.

Methods: We used a 5% random sample of Medicare claims to identify patients newly diagnosed with AF in 2016. The primary dependent variable was stroke or transient ischemic attack (TIA) in the 7 days prior to the first AF diagnosis, i.e., stroke or TIA as the initial manifestation of AF. We constructed a multivariable logistic regression to quantify the association between race/ethnicity, urban/rural residence, and the primary dependent variable.

Results: Among 39,409 patients newly diagnosed with AF (mean age 77 ± 10 years; 58% women; 7.2% Black, 87.8% White, 5.1% others), 2,819 (7.2%) had ischemic stroke or TIA in the 7 days prior to AF diagnosis. Black patients (adjusted OR [95% CI]: 1.21 [1.05, 1.40], vs. White) and urban residents (1.21 [1.08, 1.35], vs. rural) were at increased risk of stroke as the initial manifestation of AF. Racial differences were larger among patients aged ≥75 years, with adjusted ORs of 1.43 (1.19, 1.73) for Black vs. White patients, but non-significant for those aged <75 (P for interaction = 0.03).

Conclusion: We observed significant and important differences in the risk of stroke as initial manifestation of AF between White and Black patients and between rural and urban residents. Our results suggest potential disparities in the identification AF across race/ethnicity groups and urban/rural areas.

In-Hospital Mortality for Inpatient Percutaneous Coronary Interventions in the United States

Cardiovascular mortality is substantially higher in rural communities compared with urban communities. Understanding if disparities in inpatient percutaneous coronary intervention (PCI) persist in the United States will help inform initiatives to improve cardiovascular health. Of the more than 7 million hospitalizations in the National Inpatient Sample (2016), we identified 80,793 unweighted hospitalizations for PCI using ICD-10 procedure codes. Using survey weights, these hospitalizations projected 371,040 US admissions for inpatient PCI. For the primary analysis, we determined the association between hospital urban-rural designation and in-hospital mortality after inpatient PCI. In the secondary analysis, we evaluated the association between teaching status and this outcome. Multivariable logistic regression models, adjusted for multiple risk factors and patient characteristics, were used. Of the 371,430 hospitalizations for inpatient PCI, there were 108.9 (±2.2) admissions per 100,000 US population from urban hospitals and 152.9 (±6.3) from rural hospitals. Of the urban hospitals, there were 77.7 (±1.9) admissions per 100,000 US population at teaching hospitals (71.7%) and 30.7 (±1.0) at urban nonteaching hospitals (28.3%). In-hospital mortality did not differ between urban and rural hospitals (1.8% urban vs 1.9% rural, adjusted odds ratio for rural compared with urban: 1.15 [95% confidence interval 0.98, 1.34], p = 0.08). In urban hospitals, however, in-hospital mortality was higher in nonteaching hospitals than in teaching hospitals (2.0% nonteaching vs 1.7% teaching, adjusted odds ratio for teaching compared with nonteaching: 1.17 [95% confidence interval 1.01, 1.36], p = 0.04). In conclusion, in-hospital mortality rates after inpatient PCI were similar between urban and rural hospitals in the United States. However, among urban hospitals, nonteaching hospitals had higher rates of in-hospital mortality after PCI. In conclusion, solutions to address disparities for inpatient PCI outcomes between teaching and nonteaching hospitals are needed.

Social determinants of atrial fibrillation

Atrial fibrillation affects almost 60 million adults worldwide. Atrial fibrillation is associated with a high risk of cardiovascular morbidity and death as well as with social, psychological and economic burdens on patients and their families. Social determinants - such as race and ethnicity, financial resources, social support, access to health care, rurality and residential environment, local language proficiency and health literacy - have prominent roles in the evaluation, treatment and management of atrial fibrillation. Addressing the social determinants of health provides a crucial opportunity to reduce the substantial clinical and non-clinical complications associated with atrial fibrillation. In this Review, we summarize the contributions of social determinants to the patient experience and outcomes associated with this common condition. We emphasize the relevance of social determinants and their important intersection with atrial fibrillation treatment and outcomes. In closing, we identify gaps in the literature and propose future directions for the investigation of social determinants and atrial fibrillation.

Rural health disparities in chronic heart disease

Rural communities suffer from significant disparities in cardiovascular health. The reasons for worse cardiovascular health and outcomes is due to a number of factors including economic, educational, and healthcare access. This commentary draws attention to these challenges and highlights how telemedicine may reduce a portion of this gap. In particular, an opportunity to modify cardiac rehabilitation programs to include a remotely-administered model using telemedicine is a novel method that holds promise.

Rural-urban differences in stroke risk

Rural-urban health disparities in life expectancy are large and increasing, with the rural-urban disparity stroke mortality serving as a potential contributor. Data from Vital Statistics shows an unexplained temporal pattern in the rural-urban disparity in stroke-specific mortality, with the magnitude of the disparity increasing from 15% to 25% between 1999 and 2010, but subsequently decreasing to 8% by 2019. This recent decrease in the magnitude of the rural-urban disparity in stroke mortality appears to be driven by a previously unreported plateauing of stroke mortality in urban areas and a continued decline of stroke mortality in rural areas. There is a need to better understand the contributors to these temporal changes; however, a general lack of temporal data on potential contributors prevents this investigation. However considering contributors to the rural-urban differences pooled across time, an overall a higher stroke incidence in rural areas appears to be a contributor to the higher rural stroke mortality, with this higher incidence potentially associated with a higher prevalence of stroke risk factors in rural areas. Conversely, studies assessing rural-urban disparities in stroke case fatality show smaller and inconsistent associations. To the extent that disparities in case fatality do exist, there are many studies showing rural-urban disparities in stroke care could be contributing. While these data offer insights to the overall rural-urban disparities in stroke mortality, additional data are needed to help understand temporal changes in the magnitude of the rural-urban stroke mortality disparity.

Special Considerations for Healthy Lifestyle Promotion Across the Life Span in Clinical Settings: A Science Advisory From the American Heart Association

At a population level, engagement in healthy lifestyle behaviors is suboptimal in the United States. Moreover, marked disparities exist in healthy lifestyle behaviors and cardiovascular risk factors as a result of social determinants of health. In addition, there are specific challenges to engaging in healthy lifestyle behaviors related to age, developmental stage, or major life circumstances. Key components of a healthy lifestyle are consuming a healthy dietary pattern, engaging in regular physical activity, avoiding use of tobacco products, habitually attaining adequate sleep, and managing stress. For these health behaviors, there are guidelines and recommendations; however, promotion in clinical settings can be challenging, particularly in certain population groups. These challenges must be overcome to facilitate greater promotion of healthy lifestyle practices in clinical settings. The 5A Model (assess, advise, agree, assist, and arrange) was developed to provide a framework for clinical counseling with consideration for the demands of clinical settings. In this science advisory, we summarize specific considerations for lifestyle-related behavior change counseling using the 5A Model for patients across the life span. In all life stages, social determinants of health and unmet social-related health needs, as well as overweight and obesity, are associated with increased risk of cardiovascular disease, and there is the potential to modify this risk with lifestyle-related behavior changes. In addition, specific considerations for lifestyle-related behavior change counseling in life stages in which lifestyle behaviors significantly affect cardiovascular disease risk are outlined. Greater attention to healthy lifestyle behaviors during every clinician visit will contribute to improved cardiovascular health.

Call to Action: Maternal Health and Saving Mothers: A Policy Statement From the American Heart Association

The United States has the highest maternal mortality rates among developed countries, and cardiovascular disease is the leading cause. Therefore, the American Heart Association has a unique role in advocating for efforts to improve maternal health and to enhance access to and delivery of care before, during, and after pregnancy. Several initiatives have shaped the time course of major milestones in advancing maternal and reproductive health equity in the United States. There have been significant strides in improving the timeliness of data reporting in maternal mortality surveillance and epidemiological programs in maternal and child health, yet more policy reforms are necessary. To make a sustainable and systemic impact on maternal health, further efforts are necessary at the societal, institutional, stakeholder, and regulatory levels to address the racial and ethnic disparities in maternal health, to effectively reduce inequities in care, and to mitigate maternal morbidity and mortality. In alignment with American Heart Association's mission "to be a relentless force for longer, healthier lives," this policy statement outlines the inequities that influence disparities in maternal outcomes and current policy approaches to improving maternal health and suggests additional potentially impactful actions to improve maternal outcomes and ultimately save mothers' lives.

Impact of Social Determinants and Digital Literacy on Telehealth Acceptance for Pediatric Cardiology Care Delivery during the Early Phase of the COVID-19 Pandemic

OBJECTIVES

To determine whether telehealth acceptance by parents of children with heart disease is predicted by sociodemographic and/or by parental digital literacy, and to assess parental perceptions of telehealth usability and reliability.

STUDY DESIGN

We conducted a single center study comparing telehealth acceptance versus visit cancellation/rescheduling for pediatric cardiology visits during the early phase of the COVID-19 pandemic. All parent/guardians who consented to survey completion received a validated survey assessing their digital literacy. Consenting parents who accepted telehealth received an additional validated survey assessing their perceptions of telehealth usability and reliability.

RESULTS

A total of 849 patients originally were scheduled for in-person visits between March 30 and May 8, 2020. Telehealth acceptance was highest among younger, publicly insured, Hispanic patients with primary diagnoses of arrhythmia/palpitations, chest pain, dysautonomia, dyslipidemia and acquired heart disease. Among parents who completed surveys, a determinant of telehealth acceptance was digital literacy. Telehealth was determined to be a usable and reliable means for health care delivery.

CONCLUSION

Although the potential for inequitable selection of telehealth due to sociodemographic factors exists, we found that such factors were not a major determinant for pediatric cardiology care within a large, diverse, free-standing pediatric hospital.

Association of Socioeconomic Disadvantage With Long-term Mortality After Myocardial Infarction: The Mass General Brigham YOUNG-MI Registry

Importance

Socioeconomic disadvantage is associated with poor health outcomes. However, whether socioeconomic factors are associated with post-myocardial infarction (MI) outcomes in younger patient populations is unknown.

Objective

To evaluate the association of neighborhood-level socioeconomic disadvantage with long-term outcomes among patients who experienced an MI at a young age.

Design, Setting, and Participants

This cohort study analyzed patients in the Mass General Brigham YOUNG-MI Registry (at Brigham and Women's Hospital and Massachusetts General Hospital in Boston, Massachusetts) who experienced an MI at or before 50 years of age between January 1, 2000, and April 30, 2016. Each patient's home address was mapped to the Area Deprivation Index (ADI) to capture higher rates of socioeconomic disadvantage. The median follow-up duration was 11.3 years. The dates of analysis were May 1, 2020, to June 30, 2020.

Exposures

Patients were assigned an ADI ranking according to their home address and then stratified into 3 groups (least disadvantaged group, middle group, and most disadvantaged group).

Main Outcomes and Measures

The outcomes of interest were all-cause and cardiovascular mortality. Cause of death was adjudicated from national registries and electronic medical records. Cox proportional hazards regression modeling was used to evaluate the association of ADI with all-cause and cardiovascular mortality.

Results

The cohort consisted of 2097 patients, of whom 2002 (95.5%) with an ADI ranking were included (median [interquartile range] age, 45 [42-48] years; 1607 male individuals [80.3%]). Patients in the most disadvantaged neighborhoods were more likely to be Black or Hispanic, have public insurance or no insurance, and have higher rates of traditional cardiovascular risk factors such as hypertension and diabetes. Among the 1964 patients who survived to hospital discharge, 74 (13.6%) in the most disadvantaged group compared with 88 (12.6%) in the middle group and 41 (5.7%) in the least disadvantaged group died. Even after adjusting for a comprehensive set of clinical covariates, higher neighborhood disadvantage was associated with a 32% higher all-cause mortality (hazard ratio, 1.32; 95% CI, 1.10-1.60; P = .004) and a 57% higher cardiovascular mortality (hazard ratio, 1.57; 95% CI, 1.17-2.10; P = .003).

Conclusions and Relevance

This study found that, among patients who experienced an MI at or before age 50 years, socioeconomic disadvantage was associated with higher all-cause and cardiovascular mortality even after adjusting for clinical comorbidities. These findings suggest that neighborhood and socioeconomic factors have an important role in long-term post-MI survival.

Digital Technology-Based Telemedicine for the COVID-19 Pandemic

In the year 2020, the coronavirus disease 2019 (COVID-19) crisis intersected with the development and maturation of several digital technologies including the internet of things (IoT) with next-generation 5G networks, artificial intelligence (AI) that uses deep learning, big data analytics, and blockchain and robotic technology, which has resulted in an unprecedented opportunity for the progress of telemedicine. Digital technology-based telemedicine platform has currently been established in many countries, incorporated into clinical workflow with four modes, including "many to one" mode, "one to many" mode, "consultation" mode, and "practical operation" mode, and has shown to be feasible, effective, and efficient in sharing epidemiological data, enabling direct interactions among healthcare providers or patients across distance, minimizing the risk of disease infection, improving the quality of patient care, and preserving healthcare resources. In this state-of-the-art review, we gain insight into the potential benefits of demonstrating telemedicine in the context of a huge health crisis by summarizing the literature related to the use of digital technologies in telemedicine applications. We also outline several new strategies for supporting the use of telemedicine at scale.

Regional Systems of Care in ST Elevation Myocardial Infarction

ST-segment elevation myocardial infarction is a medical emergency with significant health care delivery challenges to ensure rapid triage and treatment. Several developments over the past decades have led to improved care delivery, decreased time to reperfusion, and decreased mortality. Still, significant challenges remain to further optimize the delivery of care for this patient population.

Burden and management of type 2 diabetes in rural United States

In the United States, rural areas have a higher burden of type 2 diabetes (T2DM) compared to urban areas. However, there is limited information on risk factors and interventions that improve the primary prevention and management of T2DM in rural areas. To synthesize current knowledge on T2DM in rural areas and to guide healthcare providers and policy makers, we reviewed five scientific databases and the grey literature over the last decade (2010-2020). We described classification systems for rurality and the T2DM burden based on rurality and region (West, South, Midwest, and Northeast). We highlighted risk factors for T2DM in rural compared to urban areas, and summarized interventions to screen and manage T2DM based on opportunistic screening, T2DM self-management, community-based initiatives, as well as interventions targeting comorbidities and T2DM. Several studies identified the co-existence of T2DM and depression/psychological symptoms, which could reduce adherence to non-pharmacologic and pharmacologic management of T2DM. We highlighted the role of technology in education and counselling of patients with geographic and financial barriers to accessing care, which is exacerbated by the SARS-CoV-2 coronavirus disease-19 pandemic. We identified knowledge gaps and next steps in improving T2DM care in rural areas. There is an urgent need for interventions tailored to rural areas given that rural Americans currently experience a disproportionate burden of T2DM and are encumbered by its associated morbidity, mortality, and loss in economic productivity.

Longitudinal cohorts for harnessing the electronic health record for disease prediction in a US population

PURPOSE

The depth and breadth of clinical data within electronic health record (EHR) systems paired with innovative machine learning methods can be leveraged to identify novel risk factors for complex diseases. However, analysing the EHR is challenging due to complexity and quality of the data. Therefore, we developed large electronic population-based cohorts with comprehensive harmonised and processed EHR data.

PARTICIPANTS

All individuals 30 years of age or older who resided in Olmsted County, Minnesota on 1 January 2006 were identified for the discovery cohort. Algorithms to define a variety of patient characteristics were developed and validated, thus building a comprehensive risk profile for each patient. Patients are followed for incident diseases and ageing-related outcomes. Using the same methods, an independent validation cohort was assembled by identifying all individuals 30 years of age or older who resided in the largely rural 26-county area of southern Minnesota and western Wisconsin on 1 January 2013.

FINDINGS TO DATE

For the discovery cohort, 76 255 individuals (median age 49; 53% women) were identified from which a total of 9 644 221 laboratory results; 9 513 840 diagnosis codes; 10 924 291 procedure codes; 1 277 231 outpatient drug prescriptions; 966 136 heart rate measurements and 1 159 836 blood pressure (BP) measurements were retrieved during the baseline time period. The most prevalent conditions in this cohort were hyperlipidaemia, hypertension and arthritis. For the validation cohort, 333 460 individuals (median age 54; 52% women) were identified and to date, a total of 19 926 750 diagnosis codes, 10 527 444 heart rate measurements and 7 356 344 BP measurements were retrieved during baseline.

FUTURE PLANS

Using advanced machine learning approaches, these electronic cohorts will be used to identify novel sex-specific risk factors for complex diseases. These approaches will allow us to address several challenges with the use of EHR.

Effects of a Decentralized Nursing Model on Patient Outcomes in Two Rural Community Hospitals

AIM

To assess hypothesized effects of decentralized nursing models on adult inpatient outcomes, patient medical records and satisfaction surveys were analyzed from two rural community hospitals that transitioned from centralized to decentralized nursing unit designs in 2015.

BACKGROUND

The objective to place nurses closer to patients precipitates broad use of decentralized nursing unit designs over models with centralized nurse stations. Decentralized models have been hypothesized to improve patient outcomes, but few studies have empirically measured effects.

METHODS

A cross-sectional, pre-post study used regression and interrupted time series models of adult inpatient data. Encounter-level patient records and survey responses across both sites were analyzed for a change in length of stay (LOS) and patient satisfaction from the preperiod (centralized) to the postperiod (decentralized).

RESULTS

LOS decreased in the postperiod compared to the preperiod at one site, and there was no change in LOS at the other. Patient satisfaction mostly improved at both hospitals in the decentralized model; however, most upward trends started prior to the move, with no change postmove. Patient satisfaction significantly improved regarding quietness at night and overall hospital rating at one hospital and decreased regarding receiving help as soon as wanted at the other hospital. These changes occurred at the time of the move but may not be solely attributable to the decentralized nursing model.

CONCLUSIONS

Overall, the results were mixed. One hospital experienced positive changes while the other did not, suggesting factors apart from nursing unit design are important to assess.

Avoiding the Coming Tsunami of Common, Chronic Disease: What the Lessons of the COVID-19 Pandemic Can Teach Us

During the past year, clinicians and the public have been focused on the coronavirus disease 2019 (COVID-19) pandemic and its associated societal and economic effects. However, once the acute phase of this crisis has passed, we will face an enormous wave of death and disability as a result of common chronic diseases (CCDs), with cardiometabolic diseases at the crest (Figure). A tsunami results when an earthquake on the ocean floor creates huge waves that can wreak devastation far distant from the original upheaval, especially when warnings are ignored. Similarly, underlying global and national demographic and risk factor profiles have for some time presaged an overwhelming burden of CCDs. However, although the pandemic has created additional impetus that unless heeded will amplify the consequences of this burden, the rapid adaptations and innovations in care and research prompted by the urgent response to it may also offer us the means to stem this flood.

Rural-Urban Disparities: Diabetes, Hypertension, Heart Disease, and Stroke Mortality Among Black and White Adults, 1999-2018

Diabetes, Hypertension, Heart Disease, and Stroke Mortality Among Black and White Adults, 1999–2018

Trends in heart failure-related cardiovascular mortality in rural versus urban United States counties, 2011-2018: A cross-sectional study

BACKGROUND

Adults in rural counties in the United States (US) experience higher rates broadly of cardiovascular disease (CVD) compared with adults in urban counties. Mortality rates specifically due to heart failure (HF) have increased since 2011, but estimates of heterogeneity at the county-level in HF-related mortality have not been produced. The objectives of this study were 1) to quantify nationwide trends by rural-urban designation and 2) examine county-level factors associated with rural-urban differences in HF-related mortality rates.

METHODS AND FINDINGS

We queried CDC WONDER to identify HF deaths between 2011-2018 defined as CVD (I00-78) as the underlying cause of death and HF (I50) as a contributing cause of death. First, we calculated national age-adjusted mortality rates (AAMR) and examined trends stratified by rural-urban status (defined using 2013 NCHS Urban-Rural Classification Scheme), age (35-64 and 65-84 years), and race-sex subgroups per year. Second, we combined all deaths from 2011-2018 and estimated incidence rate ratios (IRR) in HF-related mortality for rural versus urban counties using multivariable negative binomial regression models with adjustment for demographic and socioeconomic characteristics, risk factor prevalence, and physician density. Between 2011-2018, 162,314 and 580,305 HF-related deaths occurred in rural and urban counties, respectively. AAMRs were consistently higher for residents in rural compared with urban counties (73.2 [95% CI: 72.2-74.2] vs. 57.2 [56.8-57.6] in 2018, respectively). The highest AAMR was observed in rural Black men (131.1 [123.3-138.9] in 2018) with greatest increases in HF-related mortality in those 35-64 years (+6.1%/year). The rural-urban IRR persisted among both younger (1.10 [1.04-1.16]) and older adults (1.04 [1.02-1.07]) after adjustment for county-level factors. Main limitations included lack of individual-level data and county dropout due to low event rates (<20).

CONCLUSIONS

Differences in county-level factors may account for a significant amount of the observed variation in HF-related mortality between rural and urban counties. Efforts to reduce the rural-urban disparity in HF-related mortality rates will likely require diverse public health and clinical interventions targeting the underlying causes of this disparity.

Rurality and atrial fibrillation: a pathway to virtual engagement and clinical trial recruitment in response to COVID-19

Study Objective

To summarize trial adaptation from in-clinic to virtual design in response to the SARS-2 coronavirus-2 (COVID-19).

Design

A clinical trial of a mobile health intervention to improve chronic disease self-management for rural individuals with atrial fibrillation (AF). The trial has a 4-month intervention - accessible regardless of health or digital literacy - to enhance AF medication adherence and patient experience with 8- and 12-month assessments of sustainability.

Setting

Rural, western Pennsylvania.

Participants

Rural individuals with AF receiving oral anticoagulation for stroke prevention.

Interventions

Enrolled participants underwent a telephone-based orientation, provided verbal consent, and were randomized using a digital platform. They received a smartphone with intervention or control applications and a curriculum on usage tailored for study arm. Participants received study assessments by mail with telephone-based administration and contact for the 12-month trial.

Main Outcome Measures

Successful adaptation to virtual engagement and recruitment.

Results

The study enrolled 18 participants during in-clinic recruitment (January-March 2020). From 5/1/2020 to 5/6/2021 the study team enrolled 130 individuals (median age 72.4 years, range 40.8-92.2; 49.2% women, 63.1% without college degree, and 45.4% with limited health literacy. Retention of participants enrolled using virtual methods during the 4-month intervention phase is 92%.

Conclusions

We report a virtual trial of a mobile health intervention for rural individuals with AF. Our successful implementation suggests promise for engaging geographically isolated rural individuals, potential to enhance digital health access, and advance rural health equity.

Bending the Curve in Cardiovascular Disease Mortality: Bethesda + 40 and Beyond

More than 40 years after the 1978 Bethesda Conference on the Declining Mortality from Coronary Heart Disease provided the scientific community with a blueprint for systematic analysis to understand declining rates of coronary heart disease, there are indications the decline has ended or even reversed despite advances in our knowledge about the condition and treatment. Recent data show a more complex situation, with mortality rates for overall cardiovascular disease, including coronary heart disease and stroke, decelerating, whereas those for heart failure are increasing. To mark the 40th anniversary of the Bethesda Conference, the National Heart, Lung, and Blood Institute and the American Heart Association cosponsored the "Bending the Curve in Cardiovascular Disease Mortality: Bethesda + 40" symposium. The objective was to examine the immediate and long-term outcomes of the 1978 conference and understand the current environment. Symposium themes included trends and future projections in cardiovascular disease (in the United States and internationally), the evolving obesity and diabetes epidemics, and harnessing emerging and innovative opportunities to preserve and promote cardiovascular health and prevent cardiovascular disease. In addition, participant-led discussion explored the challenges and barriers in promoting cardiovascular health across the lifespan and established a potential framework for observational research and interventions that would begin in early childhood (or ideally in utero). This report summarizes the relevant research, policy, and practice opportunities discussed at the symposium.

Rurality, Death, and Healthcare Utilization in Heart Failure in the Community

Background Prior reports indicate that living in a rural area may be associated with worse health outcomes. However, data on rurality and heart failure (HF) outcomes are scarce. Methods and Results Residents from 6 southeastern Minnesota counties with a first-ever code for HF (International Classification of Diseases, Ninth Revision [ICD-9], code 428, and International Classification of Diseases, Tenth Revision [ICD-10] code I50) between January 1, 2013 and December 31, 2016, were identified. Resident address was classified according to the rural-urban commuting area codes. Rurality was defined as living in a nonmetropolitan area. Cox regression was used to analyze the association between living in a rural versus urban area and death; Andersen-Gill models were used for hospitalization and emergency department visits. Among 6003 patients with HF (mean age 74 years, 48% women), 43% lived in a rural area. Rural patients were older and had a lower educational attainment and less comorbidity compared with patients living in urban areas (P<0.001). After a mean (SD) follow-up of 2.8 (1.7) years, 2440 deaths, 20 506 emergency department visits, and 11 311 hospitalizations occurred. After adjustment, rurality was independently associated with an increased risk of death (hazard ratio [HR], 1.18; 95% CI, 1.09-1.29) and a reduced risk of emergency department visits (HR, 0.89; 95% CI, 0.82-0.97) and hospitalizations (HR, 0.78; 95% CI, 0.73-0.84). Conclusions Among patients with HF, living in a rural area is associated with an increased risk of death and fewer emergency department visits and hospitalizations. Further study to identify and address the mechanisms through which rural residence influences mortality and healthcare utilization in HF is needed in order to reduce disparities in rural health.

Development and implementation of a remote patient monitoring program for heart failure: a single-centre experience

Aims

Remote patient monitoring (RPM) in the management of heart failure (HF), including telemonitoring, thoracic impedance, implantable pulmonary artery pressure (PAP) monitors, and cardiac implantable electronic device (CIED)‐based sensors, has had varying outcomes in single platform studies. Uncertainty remains regarding the development of single‐centre RPM programs; additionally, no studies examine the effectiveness of dual platform RPM programs for HF. This study describes the implementation and outcomes of a dual platform RPM program for HF at a single centre.

Methods and results

An RPM program was developed to include two platforms (e.g. CardioMEMS™ HF System and HeartLogic™ HF Diagnostic). To examine changes within each participant over time, study‐related outcomes including total hospitalizations (TH), total length of stay (TLOS), cardiac hospitalizations (CH), cardiac LOS (CLOS), and cardiac‐related emergency department (ED) visits were compared in two timeframes: 12 months pre‐enrolment and post‐enrolment into RPM. For 141 participants enrolled, there was a significant reduction in the likelihood of experiencing a CH by 19% (0.77 vs. 0.61 events/patient‐year; HR: 0.81, 95% CI: 0.67–0.97, P = 0.03) and a cardiac‐related ED visit by 28% (0.48 vs. 0.34 events/patient‐year; HR: 0.72, 95% CI: 0.55–0.93, P = 0.01). There was also a 51% decrease (SE = 1.41, 95% CI: 2.79–8.38 days, P < 0.001) and 62% decrease (SE = 1.24, 95% CI: 3.35–8.22 days, P < 0.001) in TLOS and CLOS, respectively.

Conclusions

A dual platform RPM program for HF using structured education, RPM‐capable devices, and alert‐specific medication titration reduces the likelihood of experiencing a cardiac hospitalization and cardiac‐related ED visit in this single‐centre study.