Socioeconomic status, treatment, and outcomes among elderly patients hospitalized with heart failure: findings from the National Heart Failure Project

Socio-economic inequalities and heart failure morbidity and mortality: A systematic review and data synthesis

Socio-economic status (SES) has been associated with incident and prevalent heart failure (HF), as well as its morbidity and mortality. However, the precise nature of the relationship between SES and HF remains unclear due to inconsistent data. This study aims to provide a comprehensive assessment and data synthesis of the relationship between SES and HF morbidity and mortality. We performed a systematic search and data synthesis using six databases following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses Guidelines. The included studies comprised observational studies that reported on HF incidence and prevalence, HF hospitalizations, worsening HF (WHF) and all-cause mortality, as well as treatment options (medical, device and advanced HF therapies). SES was measured on both individual and area levels, encompassing single (e.g., income, education, employment, social risk score, living conditions and housing characteristics) and composite indicators. Among the 4124 studies screened, 79 were included, with an additional 5 identified through cross-referencing. In the majority of studies, a low SES was associated with an increased HF incidence (72%) and prevalence (75%). For mortality, we demonstrated that low SES was associated with increased mortality in 45% of the studies, with 18% of the studies showing mixed results (depending on the indicator, gender or follow-up) and 38% showing non-significant results. Similar patterns were observed for the association between SES, WHF, medical therapy prescriptions and the utilization of devices and advanced HF therapies. There was no clear pattern in the used SES indicators and HF outcomes. This systematic review, using contemporary data, shows that while socio-economic disparity may influence HF incidence, management and subsequent adverse events, these associations are not uniformly predictive. Our review highlights that the impact of SES varies depending on the specific indicators used, reflecting the complexity of its influence on health disparities. Assessment and recognition of SES as an important risk factor can assist clinicians in early detection and customizing HF treatment, while also aiding policymakers in optimizing resource allocation.

Vascular surgeons are positioned to fight healthcare disparities

Comprehensively managing vascular disease in the United States can seem overwhelming. Vascular surgery providers encounter daily stress-inducing challenges, including caring for sick patients who often, because of healthcare barriers, struggle with access to care, socioeconomic challenges, and a complex medical system. These individuals can present with advanced disease and comorbidities, and many have limited treatment options. Subsequently, it could seem as if the vascular surgeon's efforts have little opportunity to make a difference. This review describes a method to counter this sentiment through directed action, hope, and community building. Vascular surgeons are passionate about what they do and are built to fight healthcare disparities. This review also outlines the reasoning for attempting to create change and one approach to begin making a difference.

Association of neighbourhood-level material deprivation with adverse outcomes and processes of care among patients with heart failure in a single-payer healthcare system: A population-based cohort study

AIM

We studied the association between neighbourhood material deprivation, a metric estimating inability to attain basic material needs, with outcomes and processes of care among incident heart failure patients in a universal healthcare system.

METHODS AND RESULTS

In a population-based retrospective study (2007-2019), we examined the association of material deprivation with 1-year all-cause mortality, cause-specific hospitalization, and 90-day processes of care. Using cause-specific hazards regression, we quantified the relative rate of events after multiple covariate adjustment, stratifying by age ≤65 or ≥66 years. Among 395 763 patients (median age 76 [interquartile range 66-84] years, 47% women), there was significant interaction between age and deprivation quintile for mortality/hospitalization outcomes (p ≤ 0.001). Younger residents (age ≤65 years) of the most versus least deprived neighbourhoods had higher hazards of all-cause death (hazard ratio [HR] 1.19, 95% confidence interval [CI] 1.10-1.29]) and cardiovascular hospitalization (HR 1.29 [95% CI 1.19-1.39]). Older individuals (≥66 years) in the most deprived neighbourhoods had significantly higher hazard of death (HR 1.11 [95% CI 1.08-1.14]) and cardiovascular hospitalization (HR 1.13 [95% CI 1.09-1.18]) compared to the least deprived. The magnitude of the association between deprivation and outcomes was amplified in the younger compared to the older age group. More deprived individuals in both age groups had a lower hazard of cardiology visits and advanced cardiac imaging (all p < 0.001), while the most deprived of younger ages were less likely to undergo implantable cardioverter-defibrillator/cardiac resynchronization therapy-pacemaker implantation (p = 0.023), compared to the least deprived.

CONCLUSION

Patients with newly-diagnosed heart failure residing in the most deprived neighbourhoods had worse outcomes and reduced access to care than those less deprived.

Educational inequalities in heart failure mortality and the cycles of the internal armed conflict in Colombia: An observational panel study of ecological data, 1999-2017

Heart failure (HF) is a significant clinical problem and an important public health issue due to the morbidity and mortality that it causes, especially in a population that is aging and affected by social stressors such as armed conflict. We aim to describe the inequalities and trends of HF mortality by educational level in Colombia between 1999 and 2017 compared with the cycles of the internal armed conflict during the same period. An observational study of ecological data panels, with aggregates at the national level, was conducted. Information from death certificates with HF as the basic cause of death (COD) was used. Variables of the year of death, sex, age, department of residence, and educational level were considered. Mortality rates adjusted for age were calculated. A joinpoint regression was used to model the trend of rates by educational level. We found that both men and women with primary education had the highest adjusted mortality rates: among men, RR_primary = 19.06 deaths/100,000 inhabitants, SE = 0.13 vs. RR_tertiary = 4.85, SE = 0.17, and similar differences among women. Mortality rates tended to decrease at all educational levels, with a greater reduction in people with higher educational levels. In both sexes, the behavior of the relative index of inequality showed significant inequality, albeit with a strong reduction during the last decade. Mortality due to HF in Colombia shows inequalities by educational level. In the prevention of HF, education should be considered a structural social determinant. In addition, we analyzed the potential role of the Colombian long-term armed conflict in the observed trends. We highlighted the role of the health sector, together with other sectors (education, work, and housing), in developing intersectoral public policies that contribute to the reduction of cardiovascular mortality disparities.

Impact of Socioeconomic Status on Mortality and Readmission in Patients With Heart Failure With Reduced Ejection Fraction: The ARIC Study

Background Low socioeconomic status (SES) is associated with a higher risk of heart failure (HF). The contribution of individual and neighborhood SES to the prognosis and quality of care for HF with reduced ejection fraction is not clear yet has important implications. Methods and Results We examined 728 participants of the ARIC (Atherosclerosis Risk in Communities) study (mean age, 78.2 years; 34% Black participants; 46% women) hospitalized with HF with reduced ejection fraction (ejection fraction <50%) between 2005 and 2018. We assessed associations between education, income, and area deprivation index with mortality and HF readmission using multivariable Cox models. We also evaluated the use of guideline-directed medical therapy (optimal: ≥3 of ß-blockers, mineralocorticoid receptor antagonist, angiotensin-converting enzyme inhibitors, or angiotensin receptor blockers; acceptable: at least 2) at discharge. During a median follow-up of 3.2 years, 58.7% were readmitted with HF, and 74.0% died. Low income was associated with higher mortality (hazard ratio [HR], 1.52 [95% CI, 1.14-2.04]) and readmission (HR, 1.45 [95% CI, 1.04-2.03]). Similarly, low education was associated with mortality (HR, 1.27 [95% CI, 1.01-1.59]) and readmission (HR, 1.62 [95% CI, 1.24-2.12]). The highest versus lowest area deprivation index quartile was associated with readmission (HR, 1.69 [95% CI, 1.11-2.58]) but not necessarily with mortality. The prevalence of optimal guideline-directed medical therapy and acceptable guideline-directed medical therapy was 5.5% and 54.4%, respectively, but did not significantly differ by SES. Conclusions Among patients hospitalized with HF with reduced ejection fraction, low SES was independently associated with mortality and HF readmission. A targeted secondary prevention approach that focuses intensive efforts on patients with low SES will be necessary to improve outcomes of those with HF with reduced ejection fraction.

Unequitable Heart Failure Therapy for Black, Hispanic and American-Indian Patients

Despite the high prevalence of heart failure among Black and Hispanic populations, patients of colour are frequently under-prescribed guideline-directed medical therapy (GDMT) and American-Indian populations are not well characterised. Clinical inertia, financial toxicity, underrepresentation in trials, non-trustworthy medical systems, bias and structural racism are contributing factors. There is an urgent need to develop evidence-based strategies to increase the uptake of GDMT for heart failure in patients of colour. Postulated strategies include prescribing all GDMT upon first encounter, aggressive outpatient uptitration of GDMT, intervening upon social determinants of health, addressing bias and racism through changing processes or policies that unfairly disadvantage patients of colour, engagement of stakeholders and implementation of national quality improvement programmes.

Social Determinants of Health and 30-Day Readmissions Among Adults Hospitalized for Heart Failure in the REGARDS Study

BACKGROUND

It is not known which social determinants of health (SDOH) impact 30-day readmission after a heart failure (HF) hospitalization among older adults. We examined the association of 9 individual SDOH with 30-day readmission after an HF hospitalization.

METHODS AND RESULTS

Using the REGARDS study (Reasons for Geographic and Racial Differences in Stroke), we included Medicare beneficiaries who were discharged alive after an HF hospitalization between 2003 and 2014. We assessed 9 SDOH based on the Healthy People 2030 Framework: race, education, income, social isolation, social network, residential poverty, Health Professional Shortage Area, rural residence, and state public health infrastructure. The primary outcome was 30-day all-cause readmission. For each SDOH, we calculated incidence per 1000 person-years and multivariable-adjusted hazard ratios of readmission. Among 690 participants, the median age was 76 years at hospitalization (interquartile range, 71-82), 44.3% were women, 35.5% were Black, 23.5% had low educational attainment, 63.0% had low income, 21.0% had zip code-level poverty, 43.5% resided in Health Professional Shortage Areas, 39.3% lived in states with poor public health infrastructure, 13.1% were socially isolated, 13.3% had poor social networks, and 10.2% lived in rural areas. The 30-day readmission rate was 22.4%. In an unadjusted analysis, only Health Professional Shortage Area was significantly associated with 30-day readmission; in a fully adjusted analysis, none of the 9 SDOH were individually associated with 30-day readmission.

CONCLUSIONS

In this modestly sized national cohort, although prevalent, none of the SDOH were associated with 30-day readmission after an HF hospitalization. Policies or interventions that only target individual SDOH to reduce readmissions after HF hospitalizations may not be sufficient to prevent readmission among older adults.

Race and Ethnicity in Heart Failure: JACC Focus Seminar 8/9

Heart failure (HF) affects >6 million Americans, with variations in incidence, prevalence, and clinical outcomes by race/ethnicity. Black adults have the highest risk for HF, with earlier age of onset and the highest risk of death and hospitalizations. The risk of hospitalizations for Hispanic patients is higher than White patients. Data on HF in Asian individuals are more limited. However, the higher burden of traditional cardiovascular risk factors, particularly among South Asian adults, is associated with increased risk of HF. The role of environmental, socioeconomic, and other social determinants of health, more likely for Black and Hispanic patients, are increasingly recognized as independent risk factors for HF and worse outcomes. Structural racism and implicit bias are drivers of health care disparities in the United States. This paper will review the clinical, physiological, and social determinants of HF risk, unique for race/ethnic minorities, and offer solutions to address systems of inequality that need to be recognized and dismantled/eradicated.

The Association Between Socioeconomic Status, Sex, Race / Ethnicity and In-Hospital Mortality Among Patients Hospitalized for Heart Failure

BACKGROUND

The association between socioeconomic status (SES), sex, race / ethnicity and outcomes during hospitalization for heart failure (HF) has not previously been investigated.

METHODS AND RESULTS

We analyzed HF hospitalizations in the United States National Inpatient Sample between 2015 and 2017. Using a hierarchical, multivariable Poisson regression model to adjust for hospital- and patient-level factors, we assessed the association between SES, sex, and race / ethnicity and all-cause in-hospital mortality. We estimated the direct costs (USD) across SES groups. Among 4,287,478 HF hospitalizations, 40.8% were in high SES, 48.7% in female, and 70.0% in White patients. Relative to these comparators, low SES (homelessness or lowest quartile of median neighborhood income) (relative risk [RR] 1.02, 95% confidence interval [CI] 1.00-1.05) and male sex (RR 1.09, 95% CI 1.07-1.11) were associated with increased risk, whereas Black (RR 0.79, 95% CI 0.76-0.81) and Hispanic (RR 0.90, 95% CI 0.86-0.93) race / ethnicity were associated with a decreased risk of in-hospital mortality (5.1% of all hospitalizations). There were significant interactions between race / ethnicity and both, SES (P < .01) and sex (P = .04), such that racial/ethnic differences in outcome were more pronounced in low SES groups and in male patients. The median direct cost of admission was lower in low vs high SES groups ($9324.60 vs $10,940.40), female vs male patients ($9866.60 vs $10,217.10), and Black vs White patients ($9077.20 vs $10,019.80). The median costs increased with SES in all demographic groups primarily related to greater procedural utilization.

CONCLUSIONS

SES, sex, and race / ethnicity were independently associated with in-hospital mortality during HF hospitalization, highlighting possible care disparities. Racial/ethnic differences in outcome were more pronounced in low SES groups and in male patients.

Impact of Race on Clinical Outcomes After Implantation With a Fully Magnetically Levitated Left Ventricular Assist Device: An Analysis From the MOMENTUM 3 Trial

BACKGROUND

Heart failure disproportionately affects Black patients. Whether differences among race influence outcomes in advanced heart failure with use of a fully magnetically levitated continuous-flow left ventricular assist device remains uncertain.

METHODS

We included 515 IDE (Investigational Device Exemption) clinical trial patients and 500 Continued Access Protocol patients implanted with the HeartMate 3 left ventricular assist device in the MOMENTUM 3 study (Multicenter Study of MagLev Technology in Patients Undergoing Mechanical Circulatory Support Therapy With HeartMate 3). Outcomes were compared between Black and White left ventricular assist device recipients for the primary end point of survival free of disabling stroke or reoperation to replace or remove a malfunctioning device at 2 years, overall survival, adverse events, 6-minute walk distance, and quality of life scores.

RESULTS

Of 1015 HeartMate 3 patients, 675 were self-identified as White and 285 as Black individuals. The Black patient cohort was younger, more obese and with a history of hypertension, and more nonischemic cause of heart failure, relative to the White patient group. Black and White patients did not experience a difference in the primary end point (81.1% versus 77.9%; hazard ratio, 1.08 [95% CI, 0.76-1.54], P=0.6568). Black patients were at higher risk of adverse events (calculated as events per 100 patient-years), including bleeding (75.4 versus 63.5; P<0.0001), stroke (9.5 versus 7.2; P=0.0183), and hypertension (10.1 versus 3.2; P<0.0001). The 6-minute walk distance was not different at baseline and 6 months between the groups, however, the absolute change from baseline was greater for White patients (median: +183.0 [interquartile range, 42.0-335.3] versus +163.8 [interquartile range, 42.3-315.0] meters, P=0.01). The absolute quality of life measurement (EuroQoL group, 5-dimension, 5-level instrument visual analog scale) at baseline and 6 months was better in the Black patient group, but relative improvement from baseline to 6 months was greater in White patients (median: +20.0 [interquartile range, 5.0-40.0] versus +25.0 [interquartile range, 10.0-45.0]; P=0.0298).

CONCLUSIONS

Although the survival free of disabling stroke or reoperation to replace/remove a malfunctioning device at 2 years with the HM 3 left ventricular assist device did not differ by race, Black HeartMate 3 patients experienced a higher morbidity burden and smaller gains in functional capacity and quality of life when compared with White patients. These findings require efforts designed to better understand and overcome these gaps through systematic identification and tackling of putative factors. Registration: URL: https://www.clinicaltrials.gov; Unique identifiers: NCT02224755 and NCT02892955.

Non-employment and low educational level as risk factors for inequitable treatment and mortality in heart failure: a population-based cohort study of register data

Background

The risk of heart failure is disproportionately high among the socioeconomically disadvantaged. Furthermore, socioeconomically deprived patients are at risk of inequitable access to heart failure treatment and poor outcomes. Non-employment as a risk factor in this respect has not previously been studied at the level of the individual. The aim of this register-based cohort study was to analyse equity in access to renin-angiotensin system blockers and mortality, by employment status and educational level.

Methods

The study population consisted of Swedish patients aged 20–64 years hospitalised for heart failure in July 2006–December 2010, without a heart failure hospitalisation within one year or more before index hospitalisation and without renin-angiotensin system blocker dispensation in the 6 months preceding index hospitalisation. Non-access to renin-angiotensin system blockers, measured as drug dispensations, was investigated by employment status and educational level through logistic regression. Cox regression models were used to obtain hazard ratios for all-cause death by educational level and employment status. Interaction analysis was used to test whether associations between access to treatment and mortality differed by employment status.

Results

Among the 3874 patients, 1239 (32%) were women. The median age was 57 years. Fifty-three percent were employed. The non-employed patients had more comorbidity and lower access (68%) to renin-angiotensin system blockers compared with the employed (82%). The adjusted odds ratio for non-access to renin-angiotensin system blockers among the non-employed was 1.76. Non-employment was associated with an adjusted hazard ratio of 1.76 for death. Low educational level was associated with a higher death risk. Mortality was highest among the non-employed without access to renin-angiotensin system blockers and the association between access to renin-angiotensin system blockers and survival was slightly weaker in this group.

Conclusions

Non-employment and low educational level were associated with elevated mortality in heart failure. Non-employment was a risk factor for lower access to evidence-based treatment, and among the non-employed access to treatment was associated with a slightly smaller risk reduction than among the employed. The results underscore that clinicians need to be aware of the importance of socioeconomic factors in heart failure care.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12889-021-10919-1.

Psychosocial Syndemics and Multimorbidity in Patients with Heart Failure †

Heart failure (HF) is a common cause of hospitalization and mortality in older adults. HF is almost always embedded within a larger pattern of multimorbidity, yet many studies exclude patients with complex psychiatric and medical comorbidities or cognitive impairment. This has left significant gaps in research on the problems and treatment of patients with HF. In addition, HF is only one of multiple challenges facing patients with multimorbidity, stressful socioeconomic circumstances, and psychosocial problems. The purpose of this study is to identify combinations of comorbidities and health disparities that may affect HF outcomes and require different mixtures of medical, psychological, and social services to address. The syndemics framework has yielded important insights into other disorders such as HIV/AIDS, but it has not been applied to the complex psychosocial problems of patients with HF. The multimorbidity framework is an alternative approach for investigating the effects of multiple comorbidities on health outcomes. The specific aims are: (1) to determine the coprevalence of psychiatric and medical comorbidities in patients with HF (n = 535); (2) to determine whether coprevalent comorbidities have synergistic effects on readmissions, mortality, self-care, and global health; (3) to identify vulnerable subpopulations of patients with HF who have high coprevalences of syndemic comorbidities; (4) to determine the extent to which syndemic comorbidities explain adverse HF outcomes in vulnerable subgroups of patients with HF; and (5) to determine the effects of multimorbidity on readmissions, mortality, self-care, and global health.

Socioeconomic Status and Outcomes in Heart Failure With Reduced Ejection Fraction From Asia

BACKGROUND

Little is known regarding the impact of socioeconomic factors on the use of evidence-based therapies and outcomes in patients with heart failure with reduced ejection fraction across Asia.

METHODS

We investigated the association of both patient-level (household income, education levels) and country-level (regional income level by World Bank classification, income disparity by Gini index) socioeconomic indicators on use of guideline-directed therapy and clinical outcomes (composite of 1-year mortality or HF hospitalization, quality of life) in the prospective multinational ASIAN-HF study (Asian Sudden Cardiac Death in Heart Failure).

RESULTS

Among 4540 patients (mean age: 60±13 years, 23% women) with heart failure with reduced ejection fraction, 39% lived in low-income regions; 34% in regions with high-income disparity (Gini ≥42.8%); 64.4% had low monthly household income (<US$1000); and 29.5% had no/only primary education. The largest disparity in treatment across regional income levels pertained to β-blocker and device therapies, with patients from low-income regions being less likely to receive these treatments compared with those from high-income regions and even greater disparity among patients with lower education status and lower household income within each regional income strata. Higher country- and patient-level socioeconomic indicators related to higher quality of life scores and lower risk of the primary composite outcome. Notably, we found a significant interaction between regional income level and both household income and education status (P_interaction <0.001 for both), where the association of low household income and low education status with poor outcomes was more pronounced in high-income compared with lower income regions.

CONCLUSIONS

These findings highlight the importance of socioeconomic determinants among patients with heart failure in Asia and suggest that attention should be paid to address disparities in access to care among the poor and less educated, including those from wealthy regions. Registration: URL: https://clinicaltrials.gov; Unique Identifier: NCT01633398.

Acute decompensated heart failure in a non cardiology tertiary referral centre, Sarawak General Hospital (SGH-HF)

Background

Data on clinical characteristics of acute decompensated heart failure (ADHF) in Malaysia especially in East Malaysia is lacking.

Methods

This is a prospective observational study in Sarawak General Hospital, Medical Department, from October 2017 to September 2018. Patients with primary admission diagnosis of ADHF were recruited and followed up for 90 days. Data on patient’s characteristics, precipitating factors, medications and short-term clinical outcomes were recorded.

Results

Majority of the patients were classified in lower socioeconomic group and the mean age was 59 years old. Hypertension, diabetes mellitus and dyslipidaemia were the common underlying comorbidities. Heart failure with ischemic aetiology was the commonest ADHF admission precipitating factor. 48.6% of patients were having preserved ejection fraction HF and the median NT-ProBNP level was 4230 pg/mL. Prescription rate of the evidence-based heart failure medication was low. The in-patient mortality and the average length of hospital stay were 7.5% and 5 days respectively. 43% of patients required either ICU care or advanced cardiopulmonary support. The 30-day, 90-day mortality and readmission rate were 13.1%, 11.2%, 16.8% and 14% respectively.

Conclusion

Comparing with the HF data from West and Asia Pacific, the short-term mortality and readmission rate were high among the ADHF patients in our study cohort. Maladaptation to evidence-based HF prescription and the higher prevalence of cardiovascular risk factors in younger patients were among the possible issues to be addressed to improve the HF outcome in regions with similar socioeconomic background.

Perceived Stress Among Patients With Heart Failure Who Have Low Socioeconomic Status: A Mixed-Methods Study

BACKGROUND

Patient populations with low socioeconomic status (SES) experience psychological stress because of social determinants of health. Social determinants of health contribute to self-care-especially among patients with heart failure (HF).

OBJECTIVE

We sought to describe the influence of stress and social determinants of health on self-care in patients with HF who have low SES.

METHODS

In this mixed-methods, concurrent embedded study, participants (N = 35) were recruited from 2 urban hospitals in Chicago if they had low SES and were readmitted within 120 days of an exacerbation of HF. We conducted semistructured interviews to collect qualitative data about stressors associated with patients' living circumstances, strategies patients used to foster self-care, family dynamics, and coping strategies patients used to decrease stress. We measured psychological stress (Perceived Stress Scale [PSS-10]), and self-care (Self-care of Heart Failure Index). Content analysis was used to analyze the qualitative data, and descriptive statistics were used to describe the sample. In the final analytic phase, the qualitative and quantitative data were integrated.

RESULTS

Self-care was poor: 91.5% of participants had Self-care of Heart Failure Index subscale scores lower than 70. Perceived stress was high: 34% of participants had PSS-10 scores of 20 or higher. Several social determinants of health emerged as affecting self-care: financial stress, family personal health, past impactful deaths, and a recent stressful event (eg, child's death). Participants lived in areas with high crime and violence, and participants described many stressful events. However, among participants whose PSS-10 scores were lower than 20 (indicating lower stress), there was discordance among the description of factors impacting self-care and their PSS-10 score.

CONCLUSIONS

Social determinants of health negatively impact the ability of low-SES patients to manage their HF symptoms and adhere to a medication and dietary regimen. It is important that healthcare providers assess patients' stressors so appropriate referral to services can occur.

Inequalities in heart failure care in a tax-financed universal healthcare system: a nationwide population-based cohort study

Aims

Data on socioeconomic‐related differences in heart failure (HF) care are sparse. Inequality in care may potentially contribute to a poor clinical outcome. We examined socioeconomic‐related differences in quality of HF care among patients with incident HF with reduced ejection fraction (EF) (HFrEF).

Methods and results

We conducted a nationwide population‐based cohort study among patients with HFrEF (EF ≤40%) registered from January 2008 to October 2015 in the Danish Heart Failure Registry, a nationwide registry of patients with a first‐time primary HF diagnosis. Associations between individual‐level socioeconomic factors (cohabitation status, education, and family income) and the quality of HF care defined by six guideline‐recommended process performance measures [New York Heart Association (NYHA) classification, treatment with angiotensin‐converting‐enzyme inhibitors (ACEI)/angiotensin receptor blockers (ARB), beta‐blockers and mineralocorticoid receptor antagonists, exercise training, and patient education] were assessed using multiple imputation and multivariable logistic regression controlling for potential confounders. Among 17 122 HFrEF patients included, 15 290 patients had data on all six process performance measures. Living alone was associated with lower odds of NYHA classification [adjusted OR (aOR) 0.81; 95% confidence interval (CI): 0.72–0.90], prescription of ACEI/ARB (aOR 0.76; 95% CI: 0.68–0.88) and beta‐blockers (aOR 0.84; 95% CI: 0.76–0.93), referral to exercise training (aOR 0.75; 95% CI: 0.69–0.81), and patient education (aOR 0.73; 95% CI: 0.67–0.80). Compared with high‐level education, low‐level education was associated with lower odds of NYHA classification (aOR 0.93; 95% CI: 0.79–1.11), treatment with ACEI/ARB (aOR 0.99; 95% CI: 0.81–1.20) and beta‐blockers (aOR 0.93; 95% CI: 0.79–1.09), referral to exercise training (aOR 0.73; 95% CI: 0.65–0.82), and patient education (aOR 0.86, 95% CI: 0.75–0.98). An income in the lowest tertile was associated with lower odds of NYHA classification (aOR 0.67; 95% CI: 0.58–0.79), prescription of ACEI/ARB (aOR 0.80, 95% CI: 0.67–0.95) and beta‐blockers (aOR 0.88, 95% CI: 0.86–1.01), referral to exercise training (aOR 0.59, 95% CI: 0.53–0.64), and patient education (aOR 0.66; 95% CI: 0.59–0.74) compared with an income in the highest tertile. Overall, no systematic differences were seen when the analyses were stratified by sex and age groups.

Conclusions

Living alone, low‐level education, and income in the lowest tertile were associated with reduced use of recommended processes of HF care among Danish HFrEF patients with a first‐time primary HF diagnosis. Efforts are warranted to ensure guideline‐recommended HF care to all HFrEF patients, irrespective of socioeconomic background.

Regional Variation in the Association of Poverty and Heart Failure Mortality in the 3135 Counties of the United States

Background There is significant geographical variation in heart failure (HF) mortality across the United States. County socioeconomic factors that influence these outcomes are unknown. We studied the association between county socioeconomic factors and HF mortality and compared it with coronary heart disease (CHD) mortality. Methods and Results This is a cross-sectional analysis of socioeconomic factors and mortality in HF and CHD across 3135 US counties from 2010 to 2015. County-level poverty, education, income, unemployment, health insurance status, and cause-specific mortality rates were collected from the Centers for Disease Control and Prevention and US Census Bureau databases. Poverty had the strongest correlation with both HF and CHD mortality, disproportionately higher for HF (r=0.48) than CHD (r=0.24). HF mortality increased by 5.2 deaths/100 000 for each percentage increase in county poverty prevalence in a frequency-weighted, demographic-adjusted, multivariate regression model. The greatest attenuation in the poverty regression coefficient (66.4%) was seen after adjustment for prevalence of diabetes mellitus and obesity. Subgroup analysis by census region showed that this relationship was the strongest in the South and weakest in the Northeast (6.1 versus 1.4 deaths/100 000 per 1% increase in county poverty in a demographics-adjusted model). Conclusions County poverty is the strongest socioeconomic factor associated with HF and CHD mortality, an association that is stronger with HF than with CHD and varied by census region. Over half of the association was explained by differences in the prevalence of diabetes mellitus and obesity across the counties. Health policies targeting improvement in these risk factors may address and possibly minimize health disparities caused by socioeconomic factors.

Socioeconomic position and one-year mortality risk among patients with heart failure: A nationwide register-based cohort study

Aims

We sought to determine whether socioeconomic position affects the survival of patients with heart failure treated in a national healthcare system.

Methods

We linked national Danish registers, identified 145,690 patients with new-onset heart failure between 2000 and 2015, and obtained information on education and income levels. We analysed differences in survival by income quartile and educational level using multiple Cox regression, stratified by sex. We standardised one-year mortality risks according to income level by age, year of diagnosis, cohabitation status, educational level, comorbidities and medical treatment of all patients. We standardised one-year mortality risk according to educational level by age and year of diagnosis.

Results

One-year mortality was inversely related to income. In women the standardised average one-year mortality risk was 28.0% in the lowest income quartile and 24.3% in the highest income quartile, a risk difference of −3.8% (95% confidence interval (CI) −4.9% to −2.6%). In men the standardised one-year mortality risk was 26.1% in the lowest income quartile and 20.2% in the highest income quartile, a risk difference of −5.8% (95% CI −6.8% to −4.9%). Similar gradients in standardised mortality were present between the highest and lowest educational levels: −6.6% (95% CI −9.6% to −3.5%) among women and −5.0% (95% CI −6.3% to −3.7%) among men.

Conclusions

Income and educational level affect the survival of patients with heart failure, even in a national health system. Research is needed to investigate how socioeconomic differences affect survival.

Self-management of heart failure in dementia and cognitive impairment: a systematic review

BACKGROUND

The cornerstone of effective management in heart failure (HF) is the ability to self-care. Aims include i) To determine factors influencing self-care in HF patients with cognitive impairment (CI) and ii) to determine the influence of cognitive domains on self-care in patients with HF and CI.

METHODS

MEDLINE, CINAHL, EMBASE, EBSCOHost, PsychINFO, ProQuest Research Library, Health Technology Assessment Database, The Cochrane Library, Web of Science and Scopus databases were systematically searched. Original research describing the relationship between cognition and HF self-care in community-dwelling older persons with dementia/CI in English, published in a peer-reviewed journal from 1^stJanuary(2000)-22^ndMarch(2016) was identified. Study and population characteristics, data sources, self-care processes, methods of cognitive assessment, cognitive domains affected, study outcomes, impact of impairment, and other risk factors of self-care impairment were abstracted by two reviewers.

RESULTS

Of 10,688 studies identified, 14 met the inclusion criteria. Patients with HF and CI ranged from 14 to 73%. Where reported, self-care maintenance adequacy ranged from 50 to 61%; self-care management adequacy ranged from 14 to 36% and self-care confidence adequacy ranged from 0 to 44% on the Self-care of Heart Failure Index (SCHFI). All but one study predicted poor self-care ability according to poor outcome on cognitive testing. Additionally, specific cognitive domain deficits impaired self-care. Subjects with lower cognitive scores were less likely to seek assistance while subjects with depression had poor self-care abilities.

CONCLUSIONS

Clinicians must consider the type and severity of impairments in cognitive domains to tailor management. Awareness of depression, self-confidence and support access may modulate self-care ability.

Prevalence and determinants of Hyperpolypharmacy in adults with heart failure: an observational study from the National Health and Nutrition Examination Survey (NHANES)

BACKGROUND

While an expanding armamentarium of pharmacologic therapies has contributed to improved outcomes among adults with heart failure (HF) over the past two decades, this has also been accompanied by an increase in the number of medications taken by adults with HF. The use of at least 10 medications, defined as hyperpolypharmacy, is particularly notable given its association with adverse outcomes. We aimed to assess the prevalence and identify determinants of hyperpolypharmacy among adults with HF.

METHODS

We studied adults aged ≥50 years with self-reported HF from the National Health And Nutrition Examination Survey (NHANES) in 2003-2014. We calculated weighted means and percentages to describe patient characteristics. We conducted a multivariable Poisson regression analysis to identify factors independently associated with hyperpolypharmacy; we adjusted for survey sampling, socio-demographics, comorbidity, geriatric conditions, and health care utilization. We examined 947 participants, representing 4.6 million adults with HF.

RESULTS

The prevalence of hyperpolypharmacy was 26%. In a multivariable regression analysis, comorbidity count, ≥10 ambulatory contacts, and ≥ 3 hospitalizations were independently associated with hyperpolypharmacy. Interestingly, functional impairment and cognitive impairment were not independently associated with hyperpolypharmacy; while low annual household income and low educational status were each associated with an almost 2-fold increase in hyperpolypharmacy.

CONCLUSION

Hyperpolypharmacy is a common condition among adults with HF. We additionally found that low household income and low educational status are independently associated with hyperpolypharmacy, suggesting that non-medical factors may be contributing to this potentially harmful condition.

Long-term outcomes of cardiac resynchronization therapy by left ventricular ejection fraction

AIMS

Despite our prior report suggesting heart failure (HF) risk reduction from cardiac resynchronization therapy with defibrillator (CRT-D) in mild HF patients with higher left ventricular ejection fraction (LVEF > 30%), data on mortality benefit in this cohort are lacking. We aimed to assess long-term mortality benefit from CRT-D in mild HF patients by LVEF > 30%.

METHODS AND RESULTS

Among 1274 patients with mild HF and left bundle branch block enrolled in MADIT-CRT, we analysed long-term effects of CRT-D vs. implantable cardioverter defibrillator (ICD) therapy only, and reverse remodelling to CRT-D (left ventricular end-systolic volume percent change ≥ median at 1 year), on all-cause mortality and HF for the LVEF ≤ 30% and LVEF > 30 subgroups using Kaplan-Meier and Cox analyses. During long-term follow-up, CRT-D vs. ICD was associated with reduction in all-cause mortality in both patients with LVEF > 30% and LVEF ≤ 30% [hazard ratio (HR) 0.47, 95% confidence interval (CI) 0.25-0.85, P = 0.036 vs. HR 0.69, 95% CI 0.49-0.98, P = 0.013, interaction P = 0.261]. The efficacy of CRT-D vs. ICD only to reduce HF was similar in those with LVEF above and below 30% (HR 0.36, 95% CI 0.35-0.61, P < 0.001 vs. HR 0.46, 95% CI 0.35-0.61, P < 0.001; interaction P = 0.342). Patients with CRT-D-induced reverse remodelling had significant mortality reduction when compared to ICD, with either LVEF > 30% or LVEF ≤ 30% (HR 0.17 and 0.39), but no mortality benefit was seen in patients with less reverse remodelling. HF events, however, were reduced in both CRT-D-induced high and low reverse remodelling vs. ICD only, in both LVEF subgroups.

CONCLUSIONS

In MADIT-CRT, left bundle branch block patients with higher LVEF (> 30%) derive long-term mortality benefit from CRT-D when exhibiting significant reverse remodelling.

CLINICAL TRIAL REGISTRATION

ClinicalTrials.gov ID NCT00180271, NCT01294449, and NCT02060110.

Effects of socioeconomic status on clinical outcomes with ventricular assist devices

BACKGROUND

Lower socioeconomic status (SES) is a known risk factor for worse outcomes after major cardiovascular interventions. Furthermore, individuals with lower SES face barriers to evaluation for advanced heart failure therapies, including ventricular assist device (VAD) implantation.

HYPOTHESIS

Examination of the effects of individual determinants of SES on VAD outcomes will show similar survival benefit in patients with lower compared with higher SES.

METHODS

All VAD implants at the University of Florida from January 2008 to December 2015 were reviewed. Patient-level determinants of SES included place of residence, education level, marital status, insurance status, and financial resources stratified by percent federal poverty level. Survival or transplantation at 1 year, 30-day readmission, implant length of stay (LOS), and an aggregate of VAD-related complications were assessed in univariate fashion and multivariable regression modeling.

RESULTS

A total of 111 patients were included (mean age at the time of implant 57.6 years, 82.8% men). More than half received destination therapy. At 1 year, 78.3% were alive on device support or had undergone successful transplantation. There were no differences in survival, 30-day readmission, or aggregate VAD complications by the SES category. Although patients with lower levels of education had longer LOS in univariate analysis, on multivariable ordinal regression modeling, this relationship was no longer seen.

CONCLUSIONS

Patients with lower SES receive the same survival benefit from VAD implantation and are not more likely to have 30-day readmissions, complications of device support, or prolonged implant LOS. Therefore, VAD implantation should not be withheld based on these parameters alone.

A turnaround strategy: improving equity in order to achieve quality of care and financial sustainability in Italy

BACKGROUND

Equity, financial sustainability, and quality in healthcare are key goals embraced by universal health systems. However, systematic performance management strategies for achieving equity are still weaker than those aimed at achieving financial sustainability and quality of care. Using a vertical equity perspective, the overarching aim of this paper is to examine how improving equity in quality of care impacts on financial sustainability. We applied a simulation to indicators of the heart failure clinical pathway in Tuscany (central Italy), in order to quantify the equity gaps and financial resources that could be reallocated in the absence of performance inequities.

METHODS

The analysis included all patients hospitalized for heart failure as a principal diagnosis in 2014. We selected five indicators: hospitalization rate, 30-day readmission, cardiology visits, and the utilization of beta-blockers, and ACE inhibitors and sartans. For each indicator, the simulation followed three steps: 1) stratification by socioeconomic status (SES), using education as a proxy for SES; 2) computation of the vertical equity indicator; and 3) assessment of the financial value of the equity gap.

RESULTS

All indicators showed performance gaps regarding inequities across SES-groups. For the hospitalization rate and 30-day readmission, resources could have been reallocated, if the performance of patients with a low SES had been equal to the performance of patients with a high SES, which amounted to €2,144,422 and €892,790 respectively. In contrast, limited additional resources would have been required for prescriptions and cardiology visits.

CONCLUSIONS

Reducing equity gaps by improving the performance of low-SES patients may be a crucial strategy to achieving financial sustainability in universal coverage healthcare systems. Universal healthcare systems, which aim to pursue financial sustainability and quality of care, are thus urged to develop performance management actions to improve equity. This approach should not only include the measurement and public disclosure of equity indicators but be part of a comprehensive evidence-based strategy for the management of chronic conditions along the clinical pathway.

Implementing community health worker-patient pairings at the time of hospital discharge: A randomized control trial

BACKGROUND

In 2011, there were approximately 3.3 million adult 30-day all-cause hospital readmissions in the US generating $41.3 billion in hospital costs. Community health worker (CHW) care delivery is one of very few interventions demonstrated to reduce health care utilization among populations with chronic disease. While there are a number of studies demonstrating improved disease-specific outcomes with CHW interventions, studies examining the effect of CHW care delivery on 30-day readmission rates are rare.

METHODS

This study is a randomized control trial designed to determine if linking hospitalized patients with chronic disease to community health workers (CHWs) can decrease 30-day readmissions. Participants were randomly assigned to receive the 30-day CHW intervention or usual care (no CHW). All study participants completed surveys at baseline and the end of the study 30 days post-discharge. The primary outcome was 30-day readmission and secondary outcomes included emergency department visits, missed appointments, and patient satisfaction.

RESULTS

We plan to enroll 1200 hospitalized patients during a 24-month intervals. As of December 2017, 350 patients have been consented and randomly assigned to either the intervention or control arm. A number of challenges have been encountered in implementing a CHW initiative at the time of hospital discharge.

CONCLUSION

This trial tests the effectiveness of CHW care delivery at the time of hospital discharge in reducing 30-day readmission rates and improving outcomes among patients with chronic disease. We describe and discuss challenges in launching this CHW intervention and strategies utilized to overcome these obstacles. Clinical Trials.gov registration submitted 3/14/2017: Protocol ID# 2017A050810 and Clinical Trials.gov ID# NCT03085264 Community Health Worker Care Transitions Study (C-CAT).

Patient and hospital factors associated with 30-day unplanned readmission in patients with stroke

Stroke is frequently associated with readmission; moreover, readmission is regarded as an important indicator of the quality of stroke care. Thus, we investigated factors associated with 30-day readmission in patients with stroke in South Korea. We used claims data from 2013 for stroke (I60–I62) patients (n=44 729) in 94 hospitals and classified unplanned readmission according to the Centers for Medicare and Medicaid guidelines. We used multilevel models to investigate patient (age, gender, type of insurance, admission via emergency room, length of stay, type of stroke, Elixhauser Index Score) and hospital (stroke care quality grade, location of hospital, type of hospital, number of doctors and nurses per 100 beds) factors associated with readmission within 30 days of discharge. Among the 44 729 patients admitted due to stroke, 9.2% (n=4124) were readmitted to hospital and 7.6% (n=3379) had unplanned readmissions. Regarding patient characteristics, medical aid and longer hospital stay were associated with 30-day readmission rate. Among hospital factors, patients admitted to a low-grade hospital or a non-capital area hospital were more likely to be readmitted within 30 days of discharge. We identified patient and hospital factors associated with 30-day readmission among stroke patients. In particular, patients admitted to hospitals with higher quality stroke care showed lower readmission rates.

Health inequalities in hospitalisation and mortality in patients diagnosed with heart failure in a universal healthcare coverage system

BACKGROUND

Information regarding the effect of social determinants of health on heart failure (HF) community-dwelling patients is scarce. We aimed to analyse the presence of socioeconomic inequalities, and their impact on hospitalisations and mortality, in patients with HF attended in a universal healthcare coverage system.

METHODS

A retrospective cohort study carried out in patients with HF aged >40 and attended at the 53 primary healthcare centres of the Institut Català de la Salut in Barcelona (Spain). Socioeconomic status (SES) was determined by an aggregated deprivation index (MEDEA). Cox proportional hazard models and competing-risks regression based on Fine and Gray's proportional subhazards were performed to analyse hospitalisations due to of HF and total mortality that occurred between 1 January 2009 and 31 December 2012.

RESULTS

Mean age was 78.1 years (SD 10.2) and 56% were women. Among the 8235 patients included, 19.4% died during the 4 years of follow-up and 27.1% were hospitalised due to HF. A gradient in the risk of hospitalisation was observed according to SES with the highest risk in the lowest socioeconomic group (sHR 1.46, 95% CI 1.27 to 1.68). Nevertheless, overall mortality did not differ among the socioeconomic groups.

CONCLUSIONS

In spite of finding a gradient that linked socioeconomic deprivation to an increased risk of hospitalisation, there were no differences in mortality regarding SES in a universal healthcare coverage system.

Socioeconomic status and access to care and the incidence of a heart failure diagnosis in the inpatient and outpatient settings

PURPOSE

Despite well-documented associations of socioeconomic status with incident heart failure (HF) hospitalization, little information exists on the relationship of socioeconomic status with HF diagnosed in the outpatient (OP) setting.

METHODS

We used Poisson models to examine the association of area-level indicators of educational attainment, poverty, living situation, and density of primary care physicians with incident HF diagnosed in the inpatient (IP) and OP settings among a cohort of Medicare beneficiaries (n = 109,756; 2001-2013).

RESULTS

The age-standardized rate of HF incidence was 35.8 (95% confidence interval [CI], 35.1-36.5) and 13.9 (95% CI, 13.5-14.4) cases per 1000 person-years in IP and OP settings, respectively. The incidence rate differences (IRDs) per 1000 person-years in both settings suggested greater incidence of HF in high- compared to low-poverty areas (IP IRD = 4.47 [95% CI, 3.29-5.65], OP IRD = 1.41 [95% CI, 0.61-2.22]) and in low- compared to high-education areas (IP IRD = 3.73 [95% CI, 2.63-4.82], OP IRD = 1.72 [95% CI, 0.97-2.47]).

CONCLUSIONS

Our results highlight the role of area-level social determinants of health in the incidence of HF in both the IP and OP settings. These findings may have implications for HF prevention policies.

SES, Heart Failure, and N-terminal Pro-b-type Natriuretic Peptide: The Atherosclerosis Risk in Communities Study

INTRODUCTION

Compared with coronary heart disease and stroke, the association between SES and the risk of heart failure is less well understood.

METHODS

In 12,646 participants of the Atherosclerosis Risk in Communities Study cohort free of heart failure history at baseline (1987-1989), the association of income, educational attainment, and area deprivation index with subsequent heart failure-related hospitalization or death was examined while accounting for cardiovascular disease risk factors and healthcare access. Because SES may affect threshold of identifying heart failure and admitting for heart failure management, secondarily the association between SES and N-terminal pro-b-type natriuretic peptide (NT-proBNP) levels, a marker reflecting cardiac overload, was investigated. Analysis was conducted in 2016.

RESULTS

During a median follow-up of 24.3 years, a total of 2,249 participants developed heart failure. In a demographically adjusted model, the lowest-SES group had 2.2- to 2.5-fold higher risk of heart failure compared with the highest SES group for income, education, and area deprivation. With further adjustment for time-varying cardiovascular disease risk factors and healthcare access, these associations were attenuated but remained statistically significant (e.g., hazard ratio=1.92, 95% CI=1.69, 2.19 for the lowest versus highest income), with no racial interaction (p>0.05 for all SES measures). Similarly, compared with high SES, low SES was associated with both higher baseline level of NT-proBNP in a multivariable adjusted model (15% higher, p<0.001) and increase over time (~1% greater per year, p=0.023).

CONCLUSIONS

SES was associated with clinical heart failure as well as NT-proBNP levels inversely and independently of traditional cardiovascular disease factors and healthcare access.

Association of socioeconomic status with outcomes in older adult community-dwelling patients after visiting the emergency department: a retrospective cohort study

OBJECTIVES

Older adults frequently visit the emergency department (ED). Socioeconomic status (SES) has an important impact on health and ED utilisation; however, the association between SES and ED utilisation in elderly remains unclear. The aim of this study was to investigate the association between SES in older adult patients visiting the ED on outcomes.

DESIGN

A retrospective study.

PARTICIPANTS

Older adults (≥65 years) visiting the ED, in the Netherlands. SES was stratified into tertiles based on average household income at zip code level: low (<€1800/month), intermediate (€1800-€2300/month) and high (>€2300/month).

PRIMARY OUTCOMES

Hospitalisation, inhospital mortality and 30-day ED return visits. Effect of SES on outcomes for all groups were assessed by logistic regression and adjusted for confounders.

RESULTS

In total, 4828 older adults visited the ED during the study period. Low SES was associated with a higher risk of hospitalisation among community-dwelling patients compared with high SES (adjusted OR 1.3, 95% CI 1.1 to 1.7). This association was not present for intermediate SES (adjusted OR 1.1, 95% CI 0.95 to 1.4). Inhospital mortality was comparable between the low and high SES group, even after adjustment for age, comorbidity and triage level (low OR 1.4, 95% CI 0.8 to 2.6, intermediate OR 1.3, 95% CI 0.8 to 2.2). Thirty-day ED revisits among community-dwelling patients were also equal between the SES groups (low: adjusted OR 1.0, 95% CI 0.7 to 1.4, and intermediate: adjusted OR 0.8, 95% CI 0.6 to 1.1).

CONCLUSION

In older adult ED patients, low SES was associated with a higher risk of hospitalisation than high SES. However, SES had no impact on inhospital mortality and 30-day ED revisits after adjustment for confounders.

Patient Perceptions on Facilitating Follow-Up After Heart Failure Hospitalization

BACKGROUND

Timely follow-up after hospitalization for heart failure (HF) is recommended. However, follow-up is suboptimal, especially in lower socioeconomic groups. Patient-centered solutions for facilitating follow-up post-HF hospitalization have not been extensively evaluated.

METHODS AND RESULTS

Face-to-face surveys were conducted between 2015 and 2016 among 83 racially diverse adult patients (61% African American, 34% Caucasian, and 5% Other) hospitalized for HF at a university hospital centered in a low-income area of Columbus, Ohio. Patient perceptions of methods to facilitate follow-up post-HF hospitalization and likelihood of using interventions were investigated using a Likert scale: 1=very much to 5=not at all. Results were analyzed by Wilcoxon signed-rank test with Bonferroni correction. The response rate was 82%. The annual household income was <$35 000 for 49% of patients. An appointment near the patient's home was the most desired intervention (77%), followed by reminder message (73%), transportation to appointment (63%), and elimination of copayment (59%). Interventions most likely to be used if provided were similarly ranked: reminder message (48%), appointment near home (46%), elimination of copay (46%), and transportation to appointment (39%). There were significant differences (P=0.001) in high-ranking interventions related to location (appointment near home, transportation, home appointment) and reminder for visit compared with low-ranking interventions related to time (weekend appointment, appointment after 5 pm) and telemedicine.

CONCLUSIONS

Among this cohort of racially diverse low-income patients hospitalized with HF, an appointment near the patient's home and a reminder message were the most desired interventions to facilitate follow-up. Further study of similar populations nationwide is warranted.

Determinants associated with deprivation in multimorbid patients in primary care-A cross-sectional study in Switzerland

BACKGROUND

Deprivation usually encompasses material, social, and health components. It has been shown to be associated with greater risks of developing chronic health conditions and of worse outcome in multimorbidity. The DipCare questionnaire, an instrument developed and validated in Switzerland for use in primary care, identifies patients subject to potentially higher levels of deprivation.

OBJECTIVES

To identifying determinants of the material, social, and health profiles associated with deprivation in a sample of multimorbid, primary care patients, and thus set priorities in screening for deprivation in this population.

DESIGN

Secondary analysis from a nationwide cross-sectional study in Switzerland.

PARTICIPANTS

A random sample of 886 adult patients suffering from at least three chronic health conditions.

MAIN MEASURES

The outcomes of interest were the patients' levels of deprivation as measured using the DipCare questionnaire. Classification And Regression Tree analysis identified the independent variables that separated the examined population into groups with increasing deprivation scores. Finally, a sensitivity analysis (multivariate regression) confirmed the robustness of our results.

KEY RESULTS

Being aged under 64 years old was associated with higher overall, material, and health deprivation; being aged over 77 years old was associated with higher social deprivation. Other variables associated with deprivation were the level of education, marital status, and the presence of depression or chronic pain.

CONCLUSION

Specific profiles, such as being younger, were associated with higher levels of overall, material, and health deprivation in multimorbid patients. In contrast, patients over 77 years old reported higher levels of social deprivation. Furthermore, chronic pain and depression added to the score for health deprivation. It is important that GPs consider the possibility of deprivation in these multimorbid patients and are able to identify it, both in order to encourage treatment adherence and limit any forgoing of care for financial reasons.

It takes a village: Exploring the impact of social determinants on delivery system outcomes for heart failure patients

BACKGROUND

Local social determinants may act as effect modifiers for the impact of neighborhood material deprivation on patient-level healthcare outcomes. The objective of this study was to understand the mediating effect of local social determinants on neighborhood material deprivation and delivery outcomes in heart failure (HF) patients.

MATERIAL AND METHODS

A retrospective cohort study was conducted using 4737 HF patients receiving inpatient care (n=6065 encounters) from an integrated healthcare delivery system from 2010 to 2014. Outcomes included post-discharge mortality, readmission risk and length of stay. Deprivation was measured using an area deprivation index by address of residence. Effect modifications measured included urban-rural residency and faith identification using generalized linear regression models. Patient-level data was drawn from the delivery system data warehouse.

RESULTS

Faith identification had a significant protective effect on HF patients from deprived areas, lowering 30-day mortality odds by one-third over patients who did not identify with a faith (OR 0.35 95%CI:0.12-0.98;p=0.05). Significant effects persisted at the 90 and 180-day timeframes. In rural areas, lack of faith identification had a multiplicative effect on 30-day mortality for deprived patients (OR 14.0 95%CI:1.47-132.7;p=0.02). No significant effects were noted for other healthcare outcomes.

CONCLUSIONS

The lack of expected association between area deprivation and healthcare outcomes in some communities may be explained by the presence of effect modifiers.

IMPLICATIONS

Understanding existing effect modifiers for area deprivation in local communities that delivery systems serve can inform targeted quality improvement. These factors should also be considered when comparing delivery system performance for reimbursement and in population health management.

Development and validation of a risk stratification model for prediction of disability and hospitalisation in patients with heart failure: a study protocol

BACKGROUND

Chronic heart failure (CHF) reduces quality of life and causes hospitalisation and death. Identifying predictive factors of such events may help change the natural history of this condition.

AIM

To develop and validate a stratification system for classifying patients with CHF, according to their degree of disability and need for hospitalisation due to any unscheduled cause, over a period of 1 year.

METHODS AND ANALYSIS

Prospective, concurrent, cohort-type study in two towns in the Madrid autonomous region having a combined population of 1 32 851. The study will include patients aged over 18 years who meet the following diagnostic criteria: symptoms and typical signs of CHF (Framingham criteria) and left ventricular ejection fraction (EF)<50% or structural cardiac lesion and/or diastolic dysfunction in the presence of preserved EF (EF>50%).Outcome variables will be(a) Disability, as measured by the WHO Disability Assessment Schedule V.2.0 Questionnaire, and (b) unscheduled hospitalisations. The estimated sample size is 557 patients, 371 for predictive model development (development cohort) and 186 for validation purposes (validation cohort). Predictive models of disability or hospitalisation will be constructed using logistic regression techniques. The resulting model(s) will be validated by estimating the probability of outcomes of interest for each individual included in the validation cohort.

ETHICS AND DISSEMINATION

The study protocol has been approved by the Clinical Research Ethics Committee of La Princesa University Teaching Hospital (PI-705). All results will be published in a peer-reviewed journal and shared with the medical community at conferences and scientific meetings.

Hospital Readmission and Social Risk Factors Identified from Physician Notes

OBJECTIVE

To evaluate the prevalence of seven social factors using physician notes as compared to claims and structured electronic health records (EHRs) data and the resulting association with 30-day readmissions.

STUDY SETTING

A multihospital academic health system in southeastern Massachusetts.

STUDY DESIGN

An observational study of 49,319 patients with cardiovascular disease admitted from January 1, 2011, to December 31, 2013, using multivariable logistic regression to adjust for patient characteristics.

DATA COLLECTION/EXTRACTION METHODS

All-payer claims, EHR data, and physician notes extracted from a centralized clinical registry.

PRINCIPAL FINDINGS

All seven social characteristics were identified at the highest rates in physician notes. For example, we identified 14,872 patient admissions with poor social support in physician notes, increasing the prevalence from 0.4 percent using ICD-9 codes and structured EHR data to 16.0 percent. Compared to an 18.6 percent baseline readmission rate, risk-adjusted analysis showed higher readmission risk for patients with housing instability (readmission rate 24.5 percent; p < .001), depression (20.6 percent; p < .001), drug abuse (20.2 percent; p = .01), and poor social support (20.0 percent; p = .01).

CONCLUSIONS

The seven social risk factors studied are substantially more prevalent than represented in administrative data. Automated methods for analyzing physician notes may enable better identification of patients with social needs.

Readmission Rates After Passage of the Hospital Readmissions Reduction Program: A Pre-Post Analysis

BACKGROUND

Whether hospitals with the highest risk-standardized readmission rates (RSRRs) subsequently experienced the greatest improvement after passage of the Medicare Hospital Readmissions Reduction Program (HRRP) is unknown.

OBJECTIVE

To evaluate whether passage of the HRRP was followed by acceleration in improvement in 30-day RSRRs after hospitalizations for acute myocardial infarction (AMI), congestive heart failure (CHF), or pneumonia and whether the lowest-performing hospitals had faster acceleration in improvement after passage of the law than hospitals that were already performing well.

DESIGN

Pre-post analysis stratified by hospital performance groups.

SETTING

U.S. acute care hospitals.

PATIENTS

15 170 008 Medicare patients discharged alive from 2000 to 2013.

INTERVENTION

Passage of the HRRP.

MEASUREMENTS

30-day readmission rates after hospitalization for AMI, CHF, or pneumonia for hospitals in the highest-performance (0% penalty), average-performance (>0% and <0.50% penalty), low-performance (≥0.50% and <0.99% penalty), and lowest-performance (≥0.99% penalty) groups.

RESULTS

Of 2868 hospitals serving 1 109 530 Medicare discharges annually, 30.1% were highest performers, 44.0% were average performers, 16.8% were low performers, and 9.0% were lowest performers. After controlling for prelaw trends, an additional 67.6 (95% CI, 66.6 to 68.4), 74.8 (CI, 74.0 to 75.4), 85.4 (CI, 84.0 to 86.8), and 95.1 (CI, 92.6 to 97.5) readmissions per 10 000 discharges were found to have been averted per year in the highest-, average-, low-, and lowest-performance groups, respectively, after passage of the law.

LIMITATION

Inability to distinguish between improvement caused by the magnitude of the penalty or by different levels of health improvement in different patient populations.

CONCLUSION

After passage of the HRRP, 30-day RSRRs for myocardial infarction, heart failure, and pneumonia decreased more rapidly than before the law's passage. Improvement was most marked for hospitals with the lowest prelaw performance.

PRIMARY FUNDING SOURCE

National Institutes of Health.

Socioeconomic and partner status in chronic heart failure: Relationship to exercise capacity, quality of life, and clinical outcomes

BACKGROUND

Prognosis in patients with heart failure (HF) is commonly assessed based on clinical characteristics. The association between partner status and socioeconomic status (SES) and outcomes in chronic HF requires further study.

METHODS

We performed a post hoc analysis of HF-ACTION, which randomized 2,331 HF patients with ejection fraction ≤35% to usual care ± aerobic exercise training. We examined baseline quality of life and functional capacity and outcomes (all-cause mortality/hospitalization) by partner status and SES using adjusted Cox models and explored an interaction with exercise training. Outcomes were examined based on partner status, education level, annual income, and employment.

RESULTS

Having a partner, education beyond high school, an income >$25,000, and being employed were associated with better baseline functional capacity and quality of life. Over a median follow-up of 2.5 years, higher education, higher income, being employed, and having a partner were associated with lower all-cause mortality/hospitalization. After multivariable adjustment, lower mortality was seen associated with having a partner (hazard ratio 0.91, 95% CI 0.81-1.03, P=.15) and more than a high school education (hazard ratio 0.91, CI 0.80-1.02, P=.12), although these associations were not statistically significant. There was no interaction between any of these variables and exercise training on outcomes (all P>.5).

CONCLUSIONS

Having a partner and higher SES were associated with greater functional capacity and quality of life at baseline but were not independent predictors of long-term clinical outcomes in patients with chronic HF. These findings provide information that may be considered as potential variables impacting outcomes.

Microparticles in Chronic Heart Failure

Heart failure (HF) continues to have a sufficient impact on morbidity, mortality, and disability in developed countries. Growing evidence supports the hypothesis that microparticles (MPs) might contribute to the pathogenesis of the HF development playing a pivotal role in the regulation of the endogenous repair system, thrombosis, coagulation, inflammation, immunity, and metabolic memory phenomenon. Therefore, there is a large body of data clarifying the predictive value of MP numerous in circulation among subjects with HF. Although the determination of MP signature is better than measurement of single MP circulating level, there is not yet close confirmation that immune phenotype of cells produced MPs are important for HF prediction and development. The aim of the chapter is to summarize knowledge regarding the role of various MPs in diagnosis and prognosis of HF. The role of MPs as a delivery vehicle for drugs attenuated cardiac remodeling is considered.

Clinical factors associated with early readmission among acutely decompensated heart failure patients

INTRODUCTION

Congestive heart failure (CHF) is a common cause of hospital readmission.

MATERIAL AND METHODS

A retrospective study was conducted at Harlem Hospital in New York City. Data were collected for 685 consecutive adult patients admitted for decompensated CHF from March, 2009 to December, 2012. Variables including patient demographics, comorbidities, laboratory studies, and medical therapy were compared between CHF patient admissions resulting in early CHF readmission and not resulting in early CHF readmission.

RESULTS

Clinical factors found to be independently significant for early CHF readmission included chronic obstructive pulmonary disease (odds ratio (OR) = 6.4), HIV infection (OR = 3.4), African-American ethnicity (OR = 2.2), systolic heart failure (OR = 1.9), atrial fibrillation (OR = 2.3), renal disease with glomerular filtration rate < 30 ml/min (OR = 2.7), evidence of substance abuse (OR = 1.7), and absence of angiotensin-converting enzyme inhibitors or angiotensin receptor blocker therapy after discharge (OR = 1.8). The ORs were used to develop a scoring system regarding the risk for early readmission.

CONCLUSIONS

Identifying patients with clinical factors associated with early CHF readmission after an index hospitalization for CHF using the proposed scoring system would allow for an early CHF readmission risk stratification protocol to target particularly high-risk patients.

Socioeconomic status and response to antiretroviral therapy in high-income countries: a literature review

It has been shown that socioeconomic factors are associated with the prognosis of several chronic diseases; however, there is no recent systematic review of their effect on HIV treatment outcomes. We aimed to review the evidence regarding the existence of an association of socioeconomic status with virological and immunological response to antiretroviral therapy (ART). We systematically searched the current literature using the database PubMed. We identified and summarized original research studies in high-income countries that assessed the association between socioeconomic factors (education, employment, income/financial status, housing, health insurance, and neighbourhood-level socioeconomic factors) and virological response, immunological response, and ART nonadherence among people with HIV-prescribed ART. A total of 48 studies met the inclusion criteria (26 from the United States, six Canadian, 13 European, and one Australian), of which 14, six, and 35 analysed virological, immunological, and ART nonadherence outcomes, respectively. Ten (71%), four (67%), and 23 (66%) of these studies found a significant association between lower socioeconomic status and poorer response, and none found a significant association with improved response. Several studies showed that adjustment for nonadherence attenuated the association between socioeconomic status and ART response. Our review provides strong support that socioeconomic disadvantage is associated with poorer response to ART. However, most studies have been conducted in settings such as the United States without universal free healthcare access. Further study in settings with free access to ART could help assess the impact of socioeconomic status on ART outcomes and the mechanisms by which it operates.