Heart failure and socioeconomic status: accumulating evidence of inequality

The effects of demographic, psychosocial, and socioeconomic characteristics on access to heart transplantation and left ventricular assist device

Background

This study aims to better understand how demographic, psychosocial, and socioeconomic factors influence the selection of patients for advanced therapies for heart failure (heart transplant and left ventricular assist device (LVAD)).

Methods

Patients evaluated for heart transplant or LVAD at a large, Midwestern hospital system were assessed retrospectively. Three outcomes were analyzed: 1) Patients who were evaluated and approved to receive a transplant or LVAD were compared to patients who were not approved for transplant or LVAD; 2) Patients who were listed for transplant were compared to patients not listed; and 3) Patients who received a transplant or LVAD were compared to patients who did not receive a transplant or LVAD. ANOVA was used for continuous variables and Chi-squared test for categorical variables. Significant variables were further analyzed by logistic regression.

Results

Four hundred fifty-nine patients were included. Marital status (p = 0.004), race (p = 0.008), social support (p < 0.001), mental health (p = 0.006), and substance use (p < 0.001) were associated with whether patients were approved for transplant or LVAD. Patients with public insurance were half as likely (OR 0.495) to be listed for transplant once approved.

Conclusions

Financial, psychosocial, and demographic characteristics all play a role in selection for advanced therapies for heart failure. These insights can help guide future work on interventions to address the social disparities in access to heart transplant and LVAD.

Social, Economic, Technological, and Environmental Factors Affecting Cardiovascular Diseases: A Systematic Review and Thematic Analysis

Background

Today, cardiovascular disease (CVD) is the leading cause of mortality in both sexes. There are several risk factors for heart diseases; some controllable, others not. However, socioeconomic, technological, and environmental factors can impact CVD as well as exclusive risk factors. Accurate identification and assessment of these factors are often difficult. In the present systematic review, we aimed to explore factors affecting CVD.

Methods

Multiple databases (MEDLINE, Scopus, ISI Web of Science, and Cochrane) and gray literature were searched. The included studies described at least one determinant of CVD. The framework method was applied to analyze the qualitative data.

Results

A total of 64 studies from 26 countries were included. The contextual determinants of CVD were categorized into 45 determinants, 15 factors, and 4 main social, economic, technological, and environmental categories. The 15 potentially reversible factors were identified as sociodemographic, violence, smoking, occupation, positive childhood experience, social inequalities, psychological distress, eating habits, neighborhood, family income, rapid technology, environmental pollution, living environments, noise, and disaster.

Conclusions

Devolution and more efficient health policies are required to achieve further sustained reduction in CVD mortality, increase life expectancy, and reduce its associated risk factors. Policymakers should fully address the value of social, economic, technological, and environmental factors. In fact, a prevention agenda should be developed and updated collaboratively in terms of the determinant factors.

Patient profile and outcomes associated with follow-up in specialty vs. primary care in heart failure

AIMS

Factors influencing follow-up referral decisions and their prognostic implications are poorly investigated in patients with heart failure (HF) with reduced (HFrEF), mildly reduced (HFmrEF), and preserved (HFpEF) ejection fraction (EF). We assessed (i) the proportion of, (ii) independent predictors of, and (iii) outcomes associated with follow-up in specialty vs. primary care across the EF spectrum.

METHODS AND RESULTS

We analysed 75 518 patients from the large and nationwide Swedish HF registry between 2000-2018. Multivariable logistic regression models were fitted to identify the independent predictors of planned follow-up in specialty vs. primary care, and multivariable Cox models to assess the association between follow-up type and outcomes. In this nationwide registry, 48 115 (64%) patients were planned for follow-up in specialty and 27 403 (36%) in primary care. The median age was 76 [interquartile range (IQR) 67-83] years and 27 546 (36.5%) patients were female. Key independent predictors of planned follow-up in specialty care included optimized HF care, that is follow-up in a nurse-led HF clinic [odds ratio (OR) 4.60, 95% confidence interval (95% CI) 4.41-4.79], use of HF devices (OR 3.99, 95% CI 3.62-4.40), beta-blockers (OR 1.39, 95% CI 1.32-1.47), renin-angiotensin system/angiotensin-receptor-neprilysin inhibitors (OR 1.21, 95% CI 1.15-1.27), and mineralocorticoid receptor antagonists (OR 1.31, 95% CI 1.26-1.37); and more severe HF, that is higher NT-proBNP (OR 1.13, 95% CI 1.06-1.20) and NYHA class (OR 1.13, 95% CI 1.08-1.19). Factors associated with lower likelihood of follow-up in specialty care included older age (OR 0.29, 95% CI 0.28-0.30), female sex (OR 0.89, 95% CI 0.86-0.93), lower income (OR 0.79, 95% CI 0.76-0.82) and educational level (OR 0.77, 95% CI 0.73-0.81), higher EF [HFmrEF (OR 0.65, 95% CI 0.62-0.68) and HFpEF (OR 0.56, 95% CI 0.53-0.58) vs. HFrEF], and higher comorbidity burden, such as presence of kidney disease (OR 0.91, 95% CI 0.87-0.95), atrial fibrillation (OR 0.85, 95% CI 0.81-0.89), and diabetes mellitus (OR 0.92, 95% CI 0.88-0.96). A planned follow-up in specialty care was independently associated with lower risk of all-cause [hazard ratio (HR) 0.78, 95% CI 0.76-0.80] and cardiovascular death (HR 0.76, 95% CI 0.73-0.78) across the EF spectrum, but not of HF hospitalization (HR 1.06, 95% CI 1.03-1.10).

CONCLUSIONS

In a large nationwide HF population, referral to specialty care was linked with male sex, younger age, lower EF, lower comorbidity burden, better socioeconomic environment and optimized HF care, and associated with better survival across the EF spectrum. Our findings highlight the need for greater and more equal access to HF specialty care and improved quality of primary care.

Disparities in prevalence of heart failure according to age, multimorbidity level and socioeconomic status in southern Sweden: a cross-sectional study

OBJECTIVE

The aim of this study was to compare the prevalence of heart failure (HF) in relation to age, multimorbidity and socioeconomic status of primary healthcare centres in southern Sweden.

DESIGN

A cross-sectional study.

SETTING

The data were collected concerning diagnoses at each consultation in all primary healthcare centres and secondary healthcare in the southernmost county of Sweden at the end of 2015.

PARTICIPANTS

The individuals living in southern Sweden in 2015 aged 20 years and older. The study population of 981 383 inhabitants was divided into different categories including HF, multimorbidity, different levels of multimorbidity and into 10 CNI (Care Need Index) groups depending on the socioeconomic status of their listed primary healthcare centre.

OUTCOMES

Prevalence of HF was presented according to age, multimorbidity level and socioeconomic status. Logistic regression was used to further analyse the associations between HF, age, multimorbidity level and socioeconomic status in more complex models.

RESULTS

The total prevalence of HF in the study population was 2.06%. The prevalence of HF increased with advancing age and the multimorbidity level. 99.07% of the patients with HF fulfilled the criteria for multimorbidity. The total prevalence of HF among the multimorbid patients was only 5.30%. HF had a strong correlation with the socioeconomic status of the primary healthcare centres with the most significant disparity between 40 and 80 years of age: the prevalence of HF in primary healthcare centres with the most deprived CNI percentile was approximately twice as high as in the most affluent CNI percentile.

CONCLUSION

The patients with HF were strongly associated with having multimorbidity. HF patients was a small group of the multimorbid population associated with socioeconomic deprivation that challenges efficient preventive strategies and health policies.

Impact of socioeconomic deprivation on evaluation for heart transplantation at an urban academic medical center

For patients with advanced heart failure, socioeconomic deprivation may impede referral for heart transplantation (HT). We examined the association of socioeconomic deprivation with listing among patients evaluated at our institution and compared this against the backdrop of our local community. We conducted a retrospective cohort study of patients evaluated for HT between January 2017 and December 2020. Patient demographics and clinical characteristics were recorded. Block group-level area deprivation index (ADI) decile was obtained at each patient's home address and Socioeconomic Status (SES) index was determined by patient zip code. In total, 400 evaluations were initiated; 1 international patient was excluded. Among this population, 111 (27.8%) were women, 219 (54.9%) were White, 94 (23.6%) Black, and 59 (14.8%) Hispanic. 248 (62.2%) patients were listed for transplant. Listed patients had significantly higher SES index and lower ADI compared to those who were not listed. However, after adjustment for clinical factors, ADI and SESi were not predictive of listing. Similarly, patient sex, race, and insurance did not influence the likelihood of listing for HT. Notably, the distribution of the referral cohort based on ADI deciles was not reflective of our center's catchment area, indicating opportunities for improving access to transplant for disadvantaged populations. This article is protected by copyright. All rights reserved.

Variability in Cardiovascular Risk Factor Control in Patients with Heart Failure According to Gender and Socioeconomic Status

Background: Despite considerable evidence concerning heart failure (HF) risk factors, there is scarce information about the effect and degree of control regarding socioeconomic and gender inequalities. Methods: Cohort study including HF patients >40 years of age attended in 53 primary health care centers in Barcelona (Spain). Socioeconomic status (SES) was determined by an aggregated deprivation index (MEDEA) according to the neighborhood of residence. Logistic multivariable regression was performed to analyze differences in cardiovascular risk factor control, stratifying by SES and sex. Results: A total of 8235 HF patients were included. Mean age was 78.1 (standard deviation 10.2) years, and 56.0% were women. The most prevalent cardiovascular risk factors were hypertension, diabetes, and dyslipidemia. Blood pressure was the worst controlled factor in both genders with the lowest SES (odds ratio [OR] 0.56 95% confidence interval [CI] 0.56-0.71) and (OR 0.52, 0.46-0.71), respectively. In women, a social gradient was observed for glycemic and body mass index control, which were worse in the most unfavorable socioeconomic position (OR 0.54, 95% CI 0.38-0.77), and (OR 0.45, 95% CI 0.32-0.64), respectively. Men presented worse control of blood pressure (OR 0.55, 95% CI 0.42-0.71) and smoking habit (OR 0.67, 95% CI 0.47-0.90) in the most deprived socioeconomic bracket. Conclusions: Patients with HF in the most disadvantaged socioeconomic levels presented the worst degree of control for cardiovascular risk factors, and this negative effect was stronger in women.

The Influence of Socioeconomic Status on the Prognosis and Profile of Patients Admitted for Acute Heart Failure during COVID-19 Pandemic: Overestimated Aspects or a Multifaceted Hydra of Cardiovascular Risk Factors?

Background: Heart failure (HF) is a complex clinical syndrome that represents a great burden on public health systems due to its increased prevalence, disability and mortality rates. There are multiple triggers that can induce or aggravate a preexisting HF, socioeconomic status (SES) emerging as one of the most common modifiable risk factors. Our study aimed to analyze the influence of certain SES indicators on the outcome, clinical aspects and laboratory parameters of patients with HF in North-Eastern Romania, as well as their relationship with other traditional cardiovascular risk factors. Methods: We conducted a prospective, single-center study comprising 120 consecutively enrolled patients admitted for acute HF. The evaluation of individual SES was based upon a standard questionnaire and evidence from official documents. Results: the patients’ age ranged between 18 and 94 years; Out of 120 patients, 49 (40.8%) were women and 71 (59.2%) were men, residing in rural 59 (49.2%) or urban 61 (50.8%) areas. 14.2% were university graduates, while 15.8% had only attended primary school. The majority of the patients are or were employed in the service sector (54.5%), followed by industry (29.2%) and agriculture (20%). The mean monthly income was 306.1 ± 177.4 euro, while the mean hospitalization cost was 2471.8 ± 2073.8 euro per patient. The individual income level was positively correlated with urban area of residence, adequate household sanitation facilities and healthcare access, and negatively associated with advanced age and previous hospitalizations due to HF. However, the individual financial situation was also positively correlated with the increased prevalence of certain cardiovascular risk factors, such as arterial hypertension, anemia or obesity, but not with total cholesterol or male gender. Concerning the direct impact of a poor economic status upon prognosis in the setting of acute HF, our results showed no statistically significant differences concerning the in-hospital or at 1-month follow-up mortality rates. Rather than inducing a direct impact on the short-term outcome, these findings concerning SES indicators are meant to enhance the implementation of policies aimed to provide adequate healthcare for people from all social layers, with a primary focus on modifiable cardiovascular risk factors.

Long term trends in natriuretic peptide testing for heart failure in UK primary care: a cohort study

AIMS

Heart failure (HF) is a malignant condition with poor outcomes and is often diagnosed on emergency hospital admission. Natriuretic peptide (NP) testing in primary care is recommended in international guidelines to facilitate timely diagnosis. We aimed to report contemporary trends in NP testing and subsequent HF diagnosis rates over time.

METHODS AND RESULTS

Cohort study using linked primary and secondary care data of adult (≥45 years) patients in England 2004-18 (n = 7 212 013, 48% male) to report trends in NP testing (over time, by age, sex, ethnicity, and socioeconomic status) and HF diagnosis rates. NP test rates increased from 0.25 per 1000 person-years [95% confidence interval (CI) 0.23-0.26] in 2004 to 16.88 per 1000 person-years (95% CI 16.73-17.03) in 2018, with a significant upward trend in 2010 following publication of national HF guidance. Women and different ethnic groups had similar test rates, and there was more NP testing in older and more socially deprived groups as expected. The HF detection rate was constant over the study period (around 10%) and the proportion of patients without NP testing prior to diagnosis remained high [99.6% (n = 13 484) in 2004 vs. 76.7% (n = 12 978) in 2017].

CONCLUSION

NP testing in primary care has increased over time, with no evidence of significant inequalities, but most patients with HF still do not have an NP test recorded prior to diagnosis. More NP testing in primary care may be needed to prevent hospitalization and facilitate HF diagnosis at an earlier, more treatable stage.

Work status before admission relates to prognosis in older patients with heart failure partly through social frailty

BACKGROUND

No reports explicitly examined the relationship between work defined as a certain type of social participation or role and the protective effect on the prognosis of patients with heart failure (HF) by preventing frailty. Therefore, this study examined whether social participation through work before admission relates to future adverse events in HF patients aged ≥65 years, and whether each frailty domain mediates the association between work and prognosis as a second analysis of a multi-centered prospective study (FRAGILE-HF study).

METHODS

We retrospectively reviewed 1,332 older patients with HF whose work status before admission to the hospital were investigated. We assessed the physical, cognitive, and social domains of frailty and performed causal mediation analysis to examine the mediating relationship of each frail domain between work status before admission and 1-year combined events (HF-related readmission and all-cause death).

RESULTS

The subjects' median age was 81 years, and 56.9% (758/1,332) were male. Among the three domains of frailty, work before admission reduced only social frailty after adjusting for confounding factors (odds ratio: 0.505, 95% confidence interval: 0.364-0.701). Patients with work before admission had a significantly better prognosis (hazard ratio: 0.720, 95% confidence interval: 0.523-0.989). Only social frailty partly mediated the relationship between work status and combined events (p <0.05).

CONCLUSIONS

Work status before admission is associated with 1-year combined events, in part through social frailty.

Factors associated with antiretroviral therapy adherence among people living with HIV in Haiti: a cross-sectional study

BACKGROUND

Socioeconomic, demographic and clinical factors can affect adherence to treatment among people living with HIV (PLH) and potentially have an impact on their prognosis and survival. The main objective of this study was to assess these factors as potential barriers to adherence among patients receiving care in central Haiti.

METHODS

A cross-sectional study was conducted among PLH receiving antiretroviral therapy (ART) at the TB/HIV clinic at St. Therese Hospital in Hinche, Haiti. A total of 426 potential participants were approached during their follow-up visits from June to August 2019, of whom 411 participated in the study. After giving informed consent, study participants completed a structured interview that included the Self-Report Item Scale (SRIS), a standard measure, to assess adherence. Socio-demographic, economic and clinical factors were assessed for their association with adherence.

RESULTS

The 411 participating patients represented 39% of the patient population at the TB/HIV clinic during the timeframe of the study. The mean age was 43.7 years (range: 19-80), 65.5% were female and 78.1% had only achieved a primary level of schooling. Nearly 78% had received ART for less than 10 years, 3.41% reported having poor adherence and 28% less than excellent adherence. Factors related to poor adherence in bivariate analysis were age less than 40 years (OR: 6.32, 95% CI 2.04-10.58, p < 0.01) and inability to meet basic needs (OR: 2.70, 95% CI 1.04-7.0, p = 0.03).

CONCLUSIONS

To improve medication adherence, the hospital should strengthen patient counselling of younger recipients of ART and provide financial assistance and other social service interventions. Studies should be implemented in other HIV management centers in Haiti and similar contexts to examine barriers to ART adherence with the goal of improving prognosis and survival in the long-term among PLH in resource-limited setting.

Comparison of household income in in-hospital outcomes after implantation of left ventricular assist device

INTRODUCTION

Due to the inability to keep up with the demand for heart transplantation, there is an increased utilization of left ventricular assist devices (LVAD). However, paucity of data exists regarding the association of household income with in-hospital outcomes after LVAD implantation.

METHODS

Retrospective cohort study using the NIS to identify all patients ⩾18 years who underwent LVAD implantation from 2011 to 2017. Statistical analysis was performed comparing low household income (⩽50th percentile) and high income (>50th percentile).

RESULTS

A total of 25,503 patients underwent LVAD implantation. The low-income group represented 53% and the high-income group corresponded to 47% of the entire cohort. The low-income group was found to be younger (mean age 55 ± 14 vs 58 ± 14 years), higher proportion of females (24% vs 22%), and higher proportion of blacks (32% vs 16%, p < 0.001 for all). The low-income group was found to have higher prevalence of hypertension, chronic pulmonary disease, smoking, dyslipidemia, obesity, and pulmonary hypertension (p < 0.001 for all). However, the high-income cohort had higher rate of atrial tachyarrhythmias and end-stage renal disease (p < 0.001). During hospitalization, patients in the high-income group had increased rates of ischemic stroke, acute kidney injury, acute coronary syndrome, bleeding, and need of extracorporeal membrane oxygenation (p < 0.001 for all). We found that the unadjusted mortality had an OR 1.30 (CI 1.21-1.41, p < 0.001) and adjusted mortality of OR 1.14 (CI 1.05-1.23, p = 0.002).

CONCLUSION

In patients undergoing LVAD implantation nationwide, low-income was associated with increased comorbidity burden, younger age, and fewer in-hospital complications and all-cause mortality.

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.

Effectiveness of telemonitoring on self-care behaviors among community-dwelling adults with heart failure: a quantitative systematic review

OBJECTIVE

This review examined the effectiveness of telemonitoring versus usual care on self-care behaviors among community-dwelling adults with heart failure.

INTRODUCTION

Heart failure is a global health crisis. There is a body of high-level evidence demonstrating that telemonitoring is an appropriate and effective therapy for many chronic conditions, including heart failure. The focus has been on traditional measures such as rehospitalizations, length of stay, cost analyses, patient satisfaction, quality of life, and death rates. What has not been systematically evaluated is the effectiveness of telemonitoring on self-care behaviors. Involving patients in self-care is an important heart failure management strategy.

INCLUSION CRITERIA

This review included studies on adult participants (18 years and older), diagnosed with heart failure (New York Heart Association Class I - IV), who used telemonitoring in the ambulatory setting. Studies among pediatric patients with heart failure, adult patients with heart failure in acute care settings, or those residing in a care facility were excluded.

METHODS

Eight databases, including CINAHL, Cochrane Central Register of Controlled Trials, Embase, MEDLINE, Epistemonikos, ProQuest Dissertations and Theses, PsycINFO, and Web of Science were systematically searched for English-language studies between 1997 and 2019. Studies selected for retrieval were assessed by two independent reviewers for methodological quality using critical appraisal checklists appropriate to the study design. Those meeting a priori quality standards of medium or high quality were included in the review.

RESULTS

Twelve publications were included in this review (N = 1923). Nine of the 12 studies were randomized controlled trials and three were quasi-experimental studies. Based on appropriate JBI critical appraisal tools, the quality of included studies was deemed moderate to high. In a majority of the studies, a potential source of bias was related to lack of blinding of treatment assignment. Telemonitoring programs ranged from telephone-based support, interactive websites, and mobile apps to remote monitoring systems and devices. Self-care outcomes were measured with the European Heart Failure Self-care Behaviour Scale in nine studies and with the Self-care of Heart Failure Index in three studies. Telemonitoring improved self-care behaviors across 10 of these studies, achieving statistical significance. Clinical significance was also observed in nine of the 12 studies. All studies utilized one of two validated instruments that specifically measure self-care behaviors among patients with heart failure. However, in some studies, variation in interpretation and reporting was observed in the use of one instrument.

CONCLUSIONS

Overall, telemonitoring had a positive effect on self-care behavior among adult, community-dwelling patients with heart failure; however, there is insufficient and conflicting evidence to determine how long the effectiveness lasts. Longitudinal studies are needed to determine the sustained effect of telemonitoring on self-care behaviors. In addition, the limitations of the current studies (eg, inadequate sample size, study design, incomplete statistical reporting, self-report bias) should be taken into account when designing future studies. This review provides evidence for the use of telemonitoring, which is poised for dramatic expansion given the current clinical environment encouraging reduced face-to-face visits.

SYSTEMATIC REVIEW REGISTRATION NUMBER

PROSPERO CRD42019131852.

Primary care heart failure service identifies a missed cohort of heart failure patients with reduced ejection fraction

AIMS

We explored whether a missed cohort of patients in the community with heart failure (HF) and left ventricular systolic dysfunction (LVSD) could be identified and receive treatment optimization through a primary care heart failure (PCHF) service.

METHODS AND RESULTS

PCHF is a partnership between Inspira Health, National Health Service Cardiologists and Medtronic. The PCHF service uses retrospective clinical audit to identify patients requiring a prospective face-to-face consultation with a consultant cardiologist for clinical review of their HF management within primary care. The service is delivered via five phases: (i) system interrogation of general practitioner (GP) systems; (ii) clinical audit of medical records; (iii) patient invitation; (iv) consultant reviews; and (v) follow-up. A total of 78 GP practices (864 194 population) have participated. In total, 19 393 patients' records were audited. HF register was 9668 (prevalence 1.1%) with 6162 patients coded with LVSD (prevalence 0.7%). HF case finder identified 9725 additional patients to be audited of whom 2916 patients required LVSD codes adding to the patient medical record (47% increase in LVSD). Prevalence of HF with LVSD increased from 0.7% to 1.05%. A total of 662 patients were invited for consultant cardiologist review at their local GP practice. The service found that within primary care, 27% of HF patients identified for a cardiologist consultation were eligible for complex device therapy, 45% required medicines optimization, and 47% of patients audited required diagnosis codes adding to their GP record.

CONCLUSION

A PCHF service can identify a missed cohort of patients with HF and LVSD, enabling the optimization of prognostic medication and an increase in device prescription.

Socioeconomic Disparities in Referral for Invasive Hemodynamic Evaluation for Advanced Heart Failure: A Nationwide Cohort Study

BACKGROUND

Factors determining referral for advanced heart failure (HF) evaluation are poorly studied. We studied the influence of socioeconomic aspects on the referral process in Denmark, which has a taxpayer-funded national health care system.

METHODS

We identified all patients aged 18 to 75 years with a first diagnosis of HF during 2010 to 2018. Hospitalized patients had to be discharged alive and were then followed for the outcome of undergoing a right heart catheterization (RHC) used as a surrogate marker of advanced HF work-up.

RESULTS

Of 36 637 newly diagnosed patients with HF, 680 (1.9%) underwent RHC during the follow-up period (median time to RHC of 280 days [interquartile range, 73-914]). Factors associated with a higher likelihood of RHC included the highest versus lowest household income quartile (HR, 1.56 [95% CI, 1.19-2.06]; P=0.001), being diagnosed with HF at a tertiary versus nontertiary hospital (HR, 1.68 [95% CI, 1.37-2.05]; P<0.001) and during a hospitalization versus outpatient visit (HR, 1.67 [95% CI, 1.42-1.95]; P<0.001). Level of education, occupational status, and distance to tertiary hospital were not independently associated with RHC. Older age, cancer, and a psychiatric diagnosis were independently associated with a decreased probability of RHC.

CONCLUSIONS

Higher household income, HF diagnosis during hospitalization, and first admission at a tertiary hospital were associated with increased likelihood of subsequent referral for RHC independent of other demographic and clinical variables. Greater attention may be required to ensure timely referral for advanced HF therapies in lower income groups.

Early adulthood socioeconomic trajectories contribute to inequalities in adult cardiovascular health, independently of childhood and adulthood socioeconomic position

BACKGROUND

Cardiovascular health shows significant socioeconomic inequalities, however there is little understanding of the role of early adulthood in generation of these inequalities. We assessed the contribution of socioeconomic trajectories during early adulthood (16-24 years) to cardiovascular health in mid-adulthood (46 years).

METHODS

Participants from the 1970 British Cohort Study with socioeconomic data available in early adulthood were included (n=12 423). Longitudinal latent class analysis identified socioeconomic trajectories, based on patterns of economic activity throughout early adulthood. Cardiometabolic risk factors (46 years) were regressed on socioeconomic trajectory class (16-24 years), testing mediation by adult socioeconomic position (46 years). Models were stratified by sex and adjusted for childhood socioeconomic position (SEP) and adolescent health.

RESULTS

Six early adulthood socioeconomic trajectories were identified: (1) Continued Education (20.2%), (2) Managerial Employment (16.0%), (3) Skilled Non-manual Employment (20.9%), (4) Skilled Manual Employment (18.9%), (5) Partly Skilled Employment (15.8%) and (6) Economically Inactive (8.1%). The 'Continued Education' trajectory class showed the best cardiovascular health at age 46 years, with the lowest levels of cardiometabolic risk factors. For example, systolic blood pressure was 128.9 mm Hg (95% CI 127.8 to 130.0) among men in the 'Continued Education' class, compared with 131.3 mm Hg (95% CI 130.4 to 132.2) among men in the 'Skilled Manual' class. Patterns across classes 2-6 differed by risk factor and sex. The observed associations were largely not mediated by SEP at age 46 years.

CONCLUSION

Findings suggest an independent contribution of early adulthood socioeconomic trajectories to development of later life cardiovascular inequalities. Further work is needed to understand mediators of this relationship and potential for interventions to mitigate these pathways.

Clinicians' and patients' experiences of managing heart failure during the COVID-19 pandemic

Background

Severe acute respiratory coronavirus 2 (SARS-CoV-2), also known as coronavirus disease 2019 (COVID-19), resulted in unprecedented societal and healthcare provision change, which has been implemented at pace. Little is known about the indirect impacts of these changes and what the future effects may be.

Aim

To explore patients’ and clinicians’ experiences of managing heart failure (HF) during the COVID-19 pandemic.

Design & setting

Qualitative study in three regions of the UK: Cambridgeshire, Greater Manchester, and the West Midlands.

Method

Semi-structured interviews (n = 30) were conducted with older adults with established HF and healthcare providers from primary and secondary health services involved in their care. Interviews were analysed thematically.

Results

Compliance with the government guidance ‘Stay at home, protect the NHS, and save lives’ during the COVID-19 pandemic, and perceptions relating to risk from COVID-19 and underlying morbidity, drove ‘being careful’ behaviours and organisational changes. Enacting behavioural change and implementing organisational change resulted in opportunities and challenges for health and healthcare practice.

Conclusion

Perception of risk led to significant behavioural and organisational change during the pandemic. Some changes described by both patients and clinicians, such as enhanced relationships and self-monitoring, present as opportunities, and consideration should be given as to how to maintain or develop these. Equally, indirect impacts of COVID-19 and the associated lockdown, such as disengagement and withdrawal, and the fallout from reluctance to access health services, should be acknowledged and interventions to address these challenges are needed.

Non-spousal family support, marital status, and heart problems in adulthood

OBJECTIVES

Support from one's spouse has long been documented as a significant determinant of health for married individuals. However, non-spousal family support may play an important role in health particularly for unmarried individuals. Therefore, this study examined whether the association between non-spousal family support and diagnosis of heart problems differed by marital status and whether gender and education moderated these associations.

DESIGN

Data came from the first two waves of the Midlife in the United States (MIDUS) study. This study selected respondents who participated in both waves of MIDUS and were not diagnosed with a heart problem at Wave 1 (N = 3,119).

MAIN OUTCOME MEASURES

Participants reported whether they had any heart trouble. Discrete-time event history analysis was used to examine the risk of heart problems between MIDUS Waves 1 and 2.

RESULTS

A higher level of non-spousal family support was associated with a lower risk of developing a heart problem only among unmarried women and unmarried individuals with high school education or less, and not for married individuals.

CONCLUSION

Findings highlight the importance of considering specific sources of family support when studying heart health, and the health-protective role of non-spousal family support for those who are not married.

Ethnic Disparity in Mortality Among Ischemic Heart Disease Patients. A-20 Years Outcome Study From Israel

Background: Long-term morbidity and mortality data among ischemic heart disease (IHD) patients of different ethnicities are conflicting. We sought to determine the independent association of ethnicity and all-cause mortality over two decades of follow-up of Israeli patients.

Methods: Our study comprised 15,524 patients including 958 (6%) Arab patients who had been previously enrolled in the Bezafibrate Infarction Prevention (BIP) registry between February 1, 1990, and October 31, 1992, and subsequently followed-up for long-term mortality. We compared clinical characteristics and outcomes of Israeli Arabs and Jews. Propensity score matching (PSM) (1:2 ratios) was used for validation.

Results: Arab patients were significantly younger (56 ± 7 years vs. 60 ± 7 years; p < 0.001; respectively), and had more cardiovascular disease (CVD) risk factors. Kaplan-Meier survival analysis showed that all-cause mortality was significantly higher among Arab patients (67 vs. 61%; log-rank p < 0.001). Multivariate adjusted analysis showed that mortality risk was 49% greater (HR 1.49; 95% CI: 1.37–1.62; p < 0.001) among Arabs.

Conclusions: Arab ethnicity is independently associated with an increased 20-year all-cause mortality among patients with established IHD.

Outcomes of Blacks Versus Whites with Cardiomyopathy

Racial disparities in health outcomes have been widely documented in medicine, including in cardiovascular care. While some progress has been made, these disparities have continued to plague our healthcare system. Patients with cardiomyopathy are at an increased risk of death and cardiovascular hospitalizations. In the present analysis, we examined the baseline characteristics and outcomes of black and white men and women with cardiomyopathy. All patients with cardiomyopathy (left ventricular ejection fraction (LVEF) < 50%) cared for at University of Pittsburgh Medical Center (UPMC) between 2011 and 2017 were included in this analysis. Patients were stratified by race, and outcomes were compared between Black and White patients using Cox proportional hazard models. Of a total of 18,003 cardiomyopathy patients, 15,804 were white (88%), 1,824 were black (10%) and 375 identified as other (2%). Over a median follow-up time of 3.4 years, 7,899 patients died. Black patients were on average a decade younger (p <0.001) and demonstrated lower unadjusted all-cause mortality (hazard ratio [HR]: 0.83%; 95% CI 0.77 to 0.90; p < 0.001). However, after adjusting for age and other comorbidities, black patients had higher all-cause mortality compared to white patients (HR: 1.15, 95% CI 1.07 to 1.25; p < 0.001). These differences were seen in both men (HR:1.19, 95% CI 1.08 to 1.33; p < 0.001) and women (HR:1.12, 95% CI 0.99 to 1.25; p = 0.065). In conclusion, our data demonstrate higher all-cause mortality in black compared to white men and women with cardiomyopathy. These findings are likely explained, at least in part, by significantly higher rates of comorbidities in black patients. Earlier interventions targeting these comorbidities may mitigate the risk of progression to heart failure and improve outcomes.

Effect of telemonitoring on self-care behaviors among community-dwelling adults with heart failure: a quantitative systematic review protocol

OBJECTIVE

This systematic review seeks to synthesize evidence to determine the effect of telemonitoring on self-care behaviors of adults with heart failure.

INTRODUCTION

There is a high-level body of evidence demonstrating that telemonitoring is an appropriate and effective therapy for many chronic conditions and, specifically, for patients with heart failure. However, the effect of telemonitoring on self-care behaviors in the adult population with heart failure is unknown.

INCLUSION CRITERIA

This review will include studies on adult participants (18 years and over) diagnosed with heart failure who use telemonitoring in the ambulatory setting. Studies of pediatric heart failure patients, and adult heart failure patients in acute care settings or in a care facility, will be excluded.

METHODS

The search for studies will include English language studies published from 1997. Search terms will include heart failure, telemonitoring, self-care, and outpatient/ambulatory care, and will be used in three key sources: CINAHL, Embase, and PubMed. For the full review, Epistomonikos, ProQuest, PsycINFO, and Web of Science will also be searched. Using inclusion/exclusion criteria, two reviewers will select studies based on a three-step process. Methodological quality will be determined using critical appraisal checklists appropriate to the study design. Data extraction will include populations, study designs and methods, interventions, and outcomes related to self-care behaviors. Pooled studies will allow calculation of meta-analysis, while calculated effect sizes and confidence intervals will inform impact and precision of effect.

SYSTEMATIC REVIEW REGISTRATION NUMBER

PROSPERO CRD42019131852.

Social and environmental risks as contributors to the clinical course of heart failure

Heart failure is a major contributor to healthcare expenditures. Many clinical risk factors for the development and exacerbation of heart failure had been reported, including diabetes, renal dysfunction, and respiratory disease. In addition to these clinical parameters, the effects of social factors, such as occupation or lifestyle, and environmental factors may have a great impact on disease development and progression of heart failure. However, the current understanding of social and environmental factors as contributors to the clinical course of heart failure is insufficient. To present the knowledge of these factors to date, this comprehensive review of the literature sought to identify the major contributors to heart failure within this context. Social factors for the risk of heart failure included occupation and lifestyle, specifically in terms of the effects of specific occupations, occupational exposure to toxicities, work style, and sleep deprivation. Socioeconomic factors focused on income and education level, social status, the neighborhood environment, and marital status. Environmental factors included traffic and noise, air pollution, and other climate factors. In addition, psychological stress and behavior traits were investigated. The development of heart failure may be closely related to these factors; therefore, these data should be summarized for the context to improve their effects on patients with heart failure. The present study reviews the literature to summarize these influences.

Hospitalizations for heart failure: still major differences between East and West Germany 30 years after reunification

Aims

Heart failure (HF) is the most common primary inpatient diagnosis in Germany. We examined temporal trends of HF hospitalization within Germany focusing on regional differences.

Methods and results

We analysed aggregated data of more than 320 million hospitalizations in Germany from 2000 to 2017. Temporal trends of HF‐related parameters were analysed, focusing on regional differences between the federal states. The absolute number of HF‐related hospitalizations throughout Germany increased continuously and almost doubled (from 239 694 to 464 724 cases, +94%) with the relative increase being higher in East Germany compared with West Germany (119% vs. 88%). These regional differences persisted after age standardization with 609 and 490 cases per 100 000 population, respectively. The length of stay decreased continuously across Germany (from 14.3 to 10.2 days; −29%), while the total number of HF‐related hospital days increased by 51% in East Germany and 35% in West Germany. In 2017, HF remained the leading cause of in‐hospital death (8.9% of all cases), with a markedly higher rate in East vs. West Germany (65 vs. 43 deaths per 100 000 population).

Conclusions

Heart failure remains the most common cause of hospitalization and in‐hospital death throughout Germany. The increase in HF‐related morbidity and mortality was much higher in East Germany compared with West Germany during the observation period. A more detailed understanding of these striking disparities 30 years after the German reunification requires further investigations. There is an urgent need for action with regard to stronger control of risk factors and improvement of both chronic HF management and healthcare structures.

The impact of cultural and linguistic diversity on hospital readmission in patients hospitalized with acute heart failure

AIMS

Health services worldwide face the challenge of providing care for increasingly culturally and linguistically diverse (CALD) populations. The aims of this study were to determine whether CALD patients hospitalized with acute heart failure (HF) are at increased risk of rehospitalization and emergency department (ED) visitation after discharge, compared to non-CALD patients, and within CALD patients to ascertain the impact of limited English proficiency (LEP) on outcomes.

METHODS AND RESULTS

A cohort of 1613 patients discharged from hospital following an episode of acute HF was derived from hospital administrative datasets. CALD status was based on both country of birth and primary spoken language. Comorbidities, HF subtype, age, sex and socioeconomic status, and hospital readmission and ED visitation incidences, were compared between groups. A Cox proportional hazard model was employed to adjust for potential confounders. The majority of patients were classified as CALD [1030 (64%)]. Of these, 488 (30%) were designated as English proficient (CALD-EP) and 542 (34%) were designated CALD-LEP. Compared to non-CALD, CALD-LEP patients exhibited a greater cumulative incidence of HF-related readmission and ED visitation, as expressed by an adjusted hazard ratio (HR) [1.27 (1.02-1.57) and 1.40 (1.18-1.67), respectively]; this difference was not significant for all-cause readmission [adjusted HR 1.03 (0.88-1.20)]. CALD-EP showed a non-significant trend towards increased rehospitalization and ED visitation.

CONCLUSION

This study suggests that CALD patients with HF, in particular those designated as CALD-LEP, have an increased risk of HF rehospitalization and ED visitation. Further research to elucidate the underlying reasons for this disparity are warranted.

Financial difficulties and patient-reported outcomes among patients with advanced heart failure

PURPOSE

Management of congestive heart failure (CHF) is associated with high health care costs and financial difficulties for patients. We aimed to comprehensively assess the association between financial difficulties and patients' quality of life (QOL) (physical, emotional, social and spiritual), perceived health care quality, and perception of being a burden to the family among patients with CHF; and to assess whether perceived control over stress moderated these associations.

METHODS

This was a cross-sectional study of 250 patients using the baseline data of the Singapore Cohort of Patients with Advanced Heart Failure (SCOPAH). Patients had class 3 or 4 CHF symptoms based on the New York Heart Association and were recruited between July 2017 and August 2019. We used a 3-item questionnaire to measure financial difficulties among patients. We used multivariable linear/ordered logistic regressions to test associations between financial difficulties and each dependent variable.

RESULTS

41% of participants reported financial difficulties. A higher financial difficulties score (range: 0-6, higher score indicating greater difficulty) was associated with lower QOL (emotional, social, and spiritual) and perceived health care coordination, and a higher likelihood of patients perceiving themselves to being a burden to family (all p < 0.05) CONCLUSION: Patients with financial difficulties are vulnerable to poor outcomes. Heart failure clinics should directly assess patients' financial difficulties to help guide treatment-related discussions and to identify patients vulnerable to poor QOL.

Prevalence of low health literacy levels in decompensated heart failure compared with acute myocardial infarction patients

AIMS

Health literacy (HL) is a health determinant in cardiovascular diseases as the active participation of patients is essential for optimizing self-management of these conditions. We aimed to estimate the prevalence of low HL level in patients hospitalized for acute myocardial infarction (AMI) or acute decompensated heart failure (ADHF) and explore low HL determinants.

METHODS AND RESULTS

A prospective cross-sectional study was performed in three cardiology units. HL level was assessed using Brief Health Literacy Screen (BHLS) and categorized as low or adequate. Dimensions of HL were assessed with the Health Literacy Questionnaire (HLQ). Associations with sociodemographic factors, disease history, and comorbidities were explored. A total of 208 patients were included, mean ± SD age was 68.5 ± 14.9 years, and 65.9% were men. Patients with ADHF were significantly older and more often women than AMI patients. Prevalence of low HL was 36% overall, 51% in ADHF patients, and 21% in AMI patients (P < 0.001). After adjustment for sociodemographic factors, patients with lower income (€<10 000 per year, adjusted odds ratio = 10.46 95% confidence interval [2.38; 54.51], P = 0.003) and native language other than French (adjusted odds ratio = 14.36 95% confidence interval [3.76; 66.9], P < 0.002) were more likely to have low HL. ADHF patients presented significantly lower HLQ scores than AMI patients in five out of the nine HLQ dimensions reflecting challenges in access to healthcare.

CONCLUSIONS

Prevalence of low HL was higher among ADHF patients than among AMI patients. Low HL ADHF patients needed more support when accessing healthcare services, and these would require more adaptation to respond to low HL patients' needs.

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.

Evaluating the effects of socioeconomic status on stroke and bleeding risk scores and clinical events in patients on oral anticoagulant for new onset atrial fibrillation

Background

The risk of thromboembolism and bleeding before initiation of oral anticoagulant (OAC) in atrial fibrillation patients is estimated by CHA₂DS₂-VASc and HAS-BLED scoring system, respectively. Patients’ socioeconomic status (SES) could influence these risks, but its impact on the two risk scores’ predictive performance with respect to clinical events remains unknown. Our objective was to determine if patient SES defined by area deprivation index (ADI), in conjunction with CHA₂DS₂-VASc and HAS-BLED scores, could guide oral anticoagulation therapy.

Methods and findings

The study cohort included newly diagnosed patients with AF who were treated with warfarin. The cohort was stratified by the time in therapeutic range of INR (TTR), ADI, CHA₂DS₂-VASc, and HAS-BLED risk scores. TTR and ischemic and bleeding events during the first year of therapy were compared across subpopulations. Among 7274 patients, those living in the two most deprived quintiles (ADI ≥60%) had a significantly higher risk of ischemic events and those in the most deprived quintile (ADI≥80%) had a significantly increased risk of bleeding events. ADI significantly improved the predictive performance of CHA₂DS₂-VASc but not HAS-BLED risk scores.

Conclusion

ADI can predict increased risk for ischemic and bleeding events in the first year of warfarin therapy in patients with incident AF.

Sex differences in the prognosis of patients with hypertrophic cardiomyopathy

We investigated sex-related differences in the prognosis of patients with hypertrophic cardiomyopathy (HCM) using the Korea National Health Insurance Service database. From 2010 to 2016, 9524 patients diagnosed with HCM and had more than 1-year follow-up period were analyzed. The primary endpoint was the composite of cardiovascular death or new-onset heart failure (HF) admission. Propensity score-matching analysis was performed to adjust for different baseline characteristics. With a 4.4-years’ median follow-up interval (range 2.0–6.6 years) and male predominance (77.6%), women with HCM were older (52.6 ± 9.7 vs. 51.4 ± 9.1, p < 0.001), had lower incomes, more comorbidities based on Charlson comorbidity index. Women with HCM had a higher incidence of the primary endpoint than men (incidence rate: 34.15 vs. 22.83 per 1000 person-years, log-rank p < 0.001). Multivariable Cox analysis showed that female sex was a poor prognostic factor for the primary endpoint (HR 1.43, 95% CI 1.24–1.64, p < 0.001). This was mainly driven by a higher incidence of new-onset HF admission (HR 1.55, 95% CI 1.34–1.80). However, there was no difference in the incidence of cardiovascular death between the sexes. This result was concordant in the propensity score-matched cohort. In conclusion, women with HCM have worse prognosis, which was mainly driven by a higher new-onset HF admission.

Geographical variation and clustering are found in atrial fibrillation beyond socioeconomic differences: a Danish cohort study, 1987-2015

BACKGROUND

The prevalence and incidence rate of atrial fibrillation (AF) increase worldwide and AF is a risk factor for more adverse cardiovascular diseases including stroke. Approximately 44% of AF cases cannot be explained by common individual risk factors and risk might therefore also be related to the environment. By studying geographical variation and clustering in risk of incident AF adjusted for socioeconomic position at an individual level, potential neighbourhood risk factors could be revealed.

METHODS

Initially, yearly AF incidence rates 1987-2015 were estimated overall and stratified by income in a register-based cohort study. To examine geographical variation and clustering in AF, we used both spatial scan statistics and a hierarchical Bayesian Poisson regression analysis of AF incidence rates with random effect of municipalities (n = 98) in Denmark in 2011-2015.

RESULTS

The 1987-2015 cohort included 5,453,639 individuals whereof 369,800 were diagnosed with an incident AF. AF incidence rate increased from 174 to 576 per 100,000 person-years from 1987 to 2015. Inequality in AF incidence rate ratio between highest and lowest income groups increased from 23% in 1987 to 38% in 2015. We found clustering and geographical variation in AF incidence rates, with incidence rates at municipality level being up to 34% higher than the country mean after adjusting for socioeconomic position.

CONCLUSIONS

Geographical variations and clustering in AF incidence rates exist. Compared to previous studies from Alberta, Canada and the United States, we show that geographical variations exist in a country with free access to healthcare and even when accounting for socioeconomic differences at an individual level. An increasing social inequality in AF was seen from 1987 to 2015. Therefore, when planning prevention strategies, attention to individuals with low income should be given. Further studies focusing on identification of neighbourhood risk factors for AF are needed.

Marital status and outcomes in chronic heart failure: Does it make a difference of being married, widow or widower?

OBJECTIVE:

We aimed to compare the outcomes of chronic heart failure (HF) patients with reduced ejection fraction (CHFrEF) in the Turkish Research Team in HF (TREAT-HF) registry according to marital status with a specific focus on being the widowed (widow/widower) versus the married.

METHODS:

TREAT-HF is a network, enrolling CHFrEF with a follow up for HF-related hospitalization (HFrH) and all-cause mortality (ACM). In this cohort, the widowed patients were compared with patients who were married before and after propensity score (PS) matching analysis.

RESULTS:

There were 723 cHFrEF patients with a complete dataset, including reported marital status at baseline for this analysis. Out of 723 patients with HF, 37 “never-married” and “divorced” patients were excluded from the analysis. Then, out of 686 remaining patients with HF, who had at least one reported marriage in the database, widowed patients with HF (n=124) were compared with married patients (n=562). The mean follow up period was 21±12 months up to 48 months. The widowed patients had a higher risk of HFrH (p=0.047), although ACM remained similar compared to married patients (p=0.054). After PS matching, HFrH remained more frequent among the widowed compared with the married (p=0.039) although ACM yielded similar rates. Of note, it was shown that being a widower (p=0.419) was not linked to increased risk of HFrH during follow up contrary to being a widow (p=0.037) despite similar age, ejection fraction, creatinine, NYHA functional class distribution and a similar rate of life-saving medications.

CONCLUSION:

PS matching analysis yielded that the widowed had increased the risk for HFrH. Of note, widowers did not seem to have an increased risk for HFrH, contrary to widows.

The implementation cost of a safety-net hospital program addressing social needs in Atlanta

OBJECTIVE

To describe the cost of integrating social needs activities into a health care program that works toward health equity by addressing socioeconomic barriers.

DATA SOURCES/STUDY SETTING

Costs for a heart failure health care program based in a safety-net hospital were reported by program staff for the program year May 2018-April 2019. Additional data sources included hospital records, invoices, and staff survey.

STUDY DESIGN

We conducted a retrospective, cross-sectional, case study of a program that includes health education, outpatient care, financial counseling and free medication; transportation and home services for those most in need; and connections to other social services. Program costs were summarized overall and for mutually exclusive categories: health care program (fixed and variable) and social needs activities.

DATA COLLECTION

Program cost data were collected using a activity-based, micro-costing approach. In addition, we conducted a survey that was completed by key staff to understand time allocation.

PRINCIPAL FINDINGS

Program costs were approximately $1.33 million, and the annual per patient cost was $1455. Thirty percent of the program costs was for social needs activities: 18% for 30-day supply of medications and addressing socioeconomic barriers to medication adherence, 18% for mobile health services (outpatient home visits), 53% for navigating services through a financial counselor and community health worker, and 12% for transportation to visits and addressing transportation barriers. Most of the program costs were for personnel: 92% of the health care program fixed, 95% of the health care program variable, and 78% of social needs activities.

DISCUSSION

Historically, social and health care services are funded by different systems and have not been integrated. We estimate the cost of implementing social needs activities into a health care program. This work can inform implementation for hospitals attempting to address social determinants of health and social needs in their patient population.

Biomedical, Socioeconomic and Demographic Predictors of Heart Failure Readmissions: A Systematic Review

AIMS

To identify the biomedical, socioeconomic and demographic predictors of heart failure (HF) related readmissions in adult patients with HF.

METHODS

This systematic review was conducted in March 2020 using the databases EMBASE, CINAHL and Medline to identify publications between 2015-2020. The resulting articles were systematically reviewed according to the PRISMA guidelines.

RESULTS

Eighteen (18) studies were included in this review. Unemployment (HR=1.09; 95%CI=1.05-1.14; p=0.03) was the only socioeconomic factor predictive of HF-readmissions. Socio-Economic Indexes for Areas (SEIFA) scores did not predict HF readmissions in adults with HF (p>0.05). All patients included in the studies had pre-existing HF. Based on the included studies, Indigenous status was identified as a risk factor for HF readmissions in 1 study (p<0.05), and age or sex did not affect HF readmission patterns (p>0.05). New York Heart Association (NYHA) class, brain natriuretic peptide (BNP) levels, and heart rate were also predictive of HF readmission (p<0.05). Left ventricular ejection fraction and blood pressure, however, were non-significant risk factors of HF readmissions (p>0.05).

CONCLUSIONS

This review identified unemployment, Indigenous status, NYHA class, heart rate, and BNP levels to predict HF related readmissions in adult patients with HF. Adding demographic and socioeconomic variables to readmission risk models has the potential to more accurately target patients at risk of readmissions.

Risk Prediction for Peripartum Cardiomyopathy in Delivering Mothers: A Validated Risk Model: PPCM Risk Prediction Model

BACKGROUND

Peripartum cardiomyopathy (PPCM) causes significant morbidity and mortality in childbearing women. Delays in diagnosis lead to worse outcomes; however, no validated risk prediction model exists. We sought to validate a previously described model and identify novel risk factors for PPCM presenting at the time of delivery.

METHODS AND RESULTS

Administrative hospital records from 5,277,932 patients from 8 states were screened for PPCM, identified by International Classification of Disease-9 Clinical Modification codes (674.5x) at the time of delivery. Demographics, comorbidities, procedures, and outcomes were quantified. Performance of a previously published regression model alone and with the addition of novel PPCM-associated characteristics was assessed using receiver operating characteristic area under the curve (AUC) analysis. Novel risk factors were identified using multivariate logistic regression and the likelihood ratio test. In total, 1186 women with PPCM were studied, including 535 of 4,003,912 delivering mothers (0.013%) in the derivation set compared with 651 of 5,277,932 (0.012%) in the validation set. The previously published risk prediction model performed well in both the derivation (area under the curve 0.822) and validation datasets (area under the curve 0.802). Novel PPCM-associated characteristics in the combined cohort included diabetes mellitus (odds ratio [OR] of PPCM 1.93, 95% confidence interval [CI] 1.23-3.02, P = .004), mood disorders (OR 1.74, 95% CI 1.22-2.47, P = .002), obesity (OR 1.92, 95% CI 1.45-2.55, P < .001), and Medicaid insurance (OR 1.54, 95% CI 1.22-1.96, P < .001).

CONCLUSIONS

This is the first validated risk prediction model to identify women at increased risk for PPCM at the time of delivery. Diabetes mellitus, obesity, mood disorders, and lower socioeconomic status are risk factors associated with PPCM. This model may be useful for identifying women at risk and preventing delays in diagnosis.

Bi-directional association between depression and HF: An electronic health records-based cohort study

Objective:

To determine whether a bi-directional relationship exists between depression and HF within a single population of individuals receiving primary care services, using longitudinal electronic health records (EHRs).

Methods:

This retrospective cohort study utilized EHRs for adults who received primary care services within a large healthcare system in 2006. Validated EHR-based algorithms identified 10,649 people with depression (depression cohort) and 5,911 people with HF (HF cohort) between January 1, 2006 and December 31, 2018. Each person with depression or HF was matched 1:1 with an unaffected referent on age, sex, and outpatient service use. Each cohort (with their matched referents) was followed up electronically to identify newly diagnosed HF (in the depression cohort) and depression (in the HF cohort) that occurred after the index diagnosis of depression or HF, respectively. The risks of these outcomes were compared (vs. referents) using marginal Cox proportional hazard models adjusted for 16 comorbid chronic conditions.

Results:

2,024 occurrences of newly diagnosed HF were observed in the depression cohort and 944 occurrences of newly diagnosed depression were observed in the HF cohort over approximately 4–6 years of follow-up. People with depression had significantly increased risk for developing newly diagnosed HF (HR 2.08, 95% CI 1.89–2.28) and people with HF had a significantly increased risk of newly diagnosed depression (HR 1.34, 95% CI 1.17–1.54) after adjusting for all 16 comorbid chronic conditions.

Conclusion:

These results provide evidence of a bi-directional relationship between depression and HF independently of age, sex, and multimorbidity from chronic illnesses.

Contemporary Reevaluation of Race and Ethnicity With Outcomes in Heart Failure

Background

Variation in outcomes by race/ethnicity in adults with heart failure (HF) has been previously observed. Identifying factors contributing to these variations could help target interventions. We evaluated the association of race/ethnicity with HF outcomes and potentially contributing factors within a contemporary HF cohort.

Methods and Results

We identified members of Kaiser Permanente Northern California, a large integrated healthcare delivery system, who were diagnosed with HF between 2012 and 2016 and had at least 1 year of prior continuous membership and left ventricular ejection fraction data. We used Cox regression with time‐dependent covariates to evaluate the association of self‐identified race/ethnicity with HF or all‐cause hospitalization and all‐cause death, with backward selection for potential explanatory variables. Among 34 621 patients with HF, compared with White patients, Black patients had a higher rate of HF hospitalization (adjusted hazard ratio [HR], 1.28; 95% CI, 1.18–1.38) but a lower rate of death (adjusted HR, 0.78; 95% CI, 0.72–0.85). In contrast, Asian/Pacific Islander patients had similar rates of HF hospitalization, but lower rates of all‐cause hospitalization (adjusted HR, 0.89; 95% CI, 0.85–0.93) and death (adjusted HR, 0.75; 95% CI, 0.69–0.80). Hispanic patients also had a lower rate of death (adjusted HR, 0.85; 95% CI, 0.80–0.91). Sensitivity analyses showed that effect sizes for Black patients were larger among patients with reduced ejection fraction.

Conclusions

In a contemporary and diverse population with HF, Black patients experienced a higher rate of HF hospitalization and a lower rate of death compared with White patients. In contrast, selected outcomes for Asian/Pacific Islander and Hispanic patients were more favorable compared with White patients. The observed differences were not explained by measured potentially modifiable factors, including pharmacological treatment. Future research is needed to identify explanatory mechanisms underlying ongoing racial/ethnic variation to target potential interventions.

Race, socioeconomic status, and low-grade inflammatory biomarkers across the lifecourse: A pooled analysis of seven studies

Cardiovascular diseases are patterned by race and socioeconomic status, and chronic low-grade inflammation is proposed as a key underlying mechanism. Theories for how racial and socioeconomic disadvantages foster inflammation emphasize a lifecourse approach: social disadvantages enable chronic or repeated exposure to stressors, unhealthy behaviors, and environmental risks that accumulate across the lifecourse to increase low-grade inflammation. However, single samples rarely include multiple racial and socioeconomic groups that each span a wide age range, precluding examination of this proposition. To address this issue, the current study combined seven studies that measured C-reactive protein and interleukin-6, producing a pooled sample of 1650 individuals aged 11-60 years. We examined (a) whether race and socioeconomic disparities in inflammatory biomarkers vary across the lifecourse, (b) whether adiposity operates as a pathway leading to these disparities, and (c) whether any indirect pathways through adiposity also vary across the lifecourse. Relative to White individuals, Black individuals exhibited higher, whereas Asian individuals exhibited lower, levels of inflammatory biomarkers, and adiposity accounted for these racial differences. Similarly, lower socioeconomic status was associated with higher inflammatory biomarkers via elevated adiposity. Importantly, both racial and socioeconomic disparities, as well as their pathways via adiposity, widened across the lifecourse. This pattern suggests that the impact of social disadvantages compound with age, leading to progressively larger disparities in low-grade inflammation. More broadly, these findings highlight the importance of considering age when examining health disparities and formulating conceptual models that specify how and why disparities may vary across the lifecourse.

The mediating role of effective treatments in the relationship between income level and survival in patients with heart failure: a sex- and cohabitation-stratified study

AIMS 

Patients with heart failure and low income have a high mortality risk. We examined whether lower survival among low-income patients with heart failure could be explained by different use of β -blockers, renin-angiotensin system inhibitors (RASi), and implanted devices compared with high-income patients.

METHODS AND RESULTS 

We linked Danish national registries to identify patients with new-onset heart failure between 2005 and 2016. A total of 18 308 patients was included in the main analysis. We collected information on medical treatment and device therapy after discharge. We investigated the remaining income disparity if everybody had the same probability of treatment as the high-income patients. We used causal mediation analysis to examine to what extent treatment differences mediate the association between income and 1-year mortality in strata defined by sex and cohabitation status. If low-income patients had the same probability of initiating β-blockers and RASi treatment as high-income patients, low-income men who lived alone would increase initiation of treatment by 12.4% (CI: 10.0% to 14.9%) and as a result reduce their absolute 1-year mortality by 1.0% (CI: -1.4% to -0.5%). If low-income patients had the same probability of not having breaks in medical treatment and getting device therapy, as high-income patients, low-income patients would increase the probability of not having breaks in treatment between 1.8% and 5.8% and increase the probability of getting device therapy between 1.0% and 3.8%, across strata of sex and cohabitation status.

CONCLUSION 

Lower rates of treatment initiation appear to mediate the poorer survival seen among patients with heart failure and low income, but only in males living alone.

Lower socioeconomic status predicts higher mortality and morbidity in patients with heart failure

OBJECTIVE

It is not fully understood whether and how socioeconomic status (SES) has a prognostic impact in patients with heart failure (HF). We assessed SES and its association with patient characteristics and outcomes in a contemporary and well-characterised HF cohort.

METHODS

Socioeconomic risk factors (SERF) were defined in the Swedish HF Registry based on income (low vs high according to the annual median value), education level (no degree/compulsory school vs university/secondary school) and living arrangement (living alone vs cohabitating).

RESULTS

Of 44 631 patients, 21% had no, 33% one, 30% two and 16% three SERF. Patient characteristics strongly and independently associated with lower SES were female sex and no specialist referral. Additional independent associations were older age, more severe HF, heavier comorbidity burden, use of diuretics and less use of HF devices. Lower SES was associated with higher risk of HF hospitalisation/mortality, and overall cardiovascular and non-cardiovascular events. These associations persisted after extensive adjustment for patient characteristics, treatments and care. The magnitude of the association increased linearly with the increasing number of coexistent SERF: HR (95% CI) 1.09 (1.05 to 1.13) for one, 1.16 (1.12 to 1.20) for two and 1.22 (1.18 to 1.28) for three SERF (p<0.01).

CONCLUSIONS

In a contemporary and well-characterised HF cohort and after comprehensive adjustment for confounders, lower SES was linked with multiple factors such as less use of HF devices and age, but most strongly with female sex and lack of specialist referral; and associated with greater risk of morbidity/mortality.

Risk factors for hospital readmission in adult patients with heart failure with reduced ejection fraction: a systematic review

OBJECTIVE

The objective of this review was to identify and synthesize evidence on risk factors associated with hospital readmission within the first year after heart failure hospitalization among patients with heart failure with reduced left ventricular ejection fraction.

INTRODUCTION

Heart failure is associated with a high risk of hospital readmission. Readmissions are associated with higher mortality and health care costs. It is a high health care priority to identify vulnerable patients with heart failure who may potentially benefit from targeted personalized care interventions aiming to reduce readmissions.

INCLUSION CRITERIA

This review considered studies including adult patients who had heart failure with a reduced left ventricular ejection fraction ≤ 40% who were discharged after a heart failure hospitalization. The authors included studies with experimental and observational designs evaluating risk factors for i) all-cause hospital readmission, ii) heart failure hospital readmission, and iii) composite outcomes within seven, 15, 30, 60, 90, 180, and 365 days after hospital discharge. Composite outcomes included end points where all-cause readmission and/or heart failure readmission were part of a defined end point (i.e. all-cause readmission or mortality; heart failure readmission or mortality; cardiovascular readmission; cardiovascular readmission or mortality; and readmission, mortality, or cardiac transplant). Studies reporting all-cause readmission and/or heart failure readmission as a primary outcome, secondary outcome, or part of a composite outcome were included.

METHODS

PubMed, Embase, CINAHL, Cochrane CENTRAL, PsycINFO, OpenGrey, MedNar, DART-Europe, ProQuest Dissertations and Theses, and the Grey Literature Report in Public Health were searched to find both published and unpublished studies in English, Swedish, Norwegian, or Danish from 2000 to June 2018. Study selection, critical appraisal, data extraction, and data synthesis followed the JBI approach for systematic reviews. Statistical pooling was not possible due to clinical and methodological heterogeneity of the studies included and the lack of risk factors reported more than once. A narrative summary of the findings was performed.

RESULTS

Fifty-two studies, including one randomized controlled trial and 51 cohort studies with a total of 128,186 participants, were included. Risk factors for readmission were reported for 30-day outcome in 16 studies, 60-day in three studies, 90-day in 15 studies, 180-day in 12 studies, and 365-day outcome in 15 studies. Based on multivariable analyses from 43 cohort studies and results from one randomized controlled trial, the authors identified several factors associated with higher risk of all-cause readmission, heart failure readmission, and composite outcomes (e.g. readmission or death) within 30, 60, 90, 180, and 365 days after discharge for a heart failure hospitalization.

CONCLUSIONS

This review provides a comprehensive overview of factors associated with a clinical outcome after a heart failure hospitalization in patients with heart failure with left ventricular ejection fraction ≤ 40%. Owing to the heterogeneity of variables investigated and the lack of comparability of findings, the clinical impact of the identified risk factors remains uncertain. This review highlights research gaps and the need for a standardized way to define and measure all-cause readmission, heart failure readmission, and composite end points in clinical research to improve study quality and enable comparison of findings between studies.

Socioeconomic and Demographic Statuses as Determinants of Adherence to Antiretroviral Treatment in HIV Infected Patients: A Systematic Review of the Literature

BACKGROUND

Socioeconomic and demographic statuses are associated with adherence to the treatment of patients with several chronic diseases. However, there is a controversy regarding their impact on adherence among HIV/AIDS patients. Thus, we performed a systematic review of the evidence regarding the association of socioeconomic and demographic statuses with adherence to antiretroviral therapy (ART) among HIV/AIDS patients.

METHODS

The PubMed database was used to search and identify studies concerning about socioeconomic and demographic statuses and HIV/AIDS patients. Data were collected on the association between adherence to ART and varies determinants factors of socioeconomic (income, education, and employment/occupation) and socio-demographic (sex and age).

FINDINGS

From 393 potentially-relevant articles initially identified, 35 original studies were reviewed in detail, which contained data that were helpful in evaluating the association between socioeconomic/ demographic statuses and adherence to ART among HIV patients. Two original research study has specifically focused on the possible association between socioeconomic status and adherence to ART. Income, level of education, and employment/occupational status were significantly and positively associated with the level of adherence in 7 studies (36.8%), 7 studies (28.0%), and 4 studies (23.5%) respectively out of 19, 25, and 17 studies reviewed. Sex (being male), and age (per year increasing) were significantly and positively associated with the level of adherence in 5 studies (14.3%), and 9 studies (25.7%) respectively out of 35 studies reviewed. However, the determinant of socioeconomic and demographic statuses was not found to be significantly associated with adherence in studies related to income 9(47.4%), education 17(68.0%), employment/ occupational 10(58.8%), sex 27(77.1%), and age 25(71.4%).

CONCLUSION

The majority of the reviewed studies reported that there is no association between socio- demographic and economic variables and adherence to therapy. Whereas, some studies show that age of HIV patients (per year increasing) and sex (being male) were positively associated with adherence to ART. Among socio-economic factors, the available evidence does not provide conclusive support for the existence of a clear association with adherence to ART among HIV patients. There seems to be a positive trend between socioeconomic factors and adherence to ART in some of the reviewed studies.

Addressing Social Determinants of Health in the Care of Patients With Heart Failure: A Scientific Statement From the American Heart Association

Heart failure is a clinical syndrome that affects >6.5 million Americans, with an estimated 550 000 new cases diagnosed each year. The complexity of heart failure management is compounded by the number of patients who experience adverse downstream effects of the social determinants of health (SDOH). These patients are less able to access care and more likely to experience poor heart failure outcomes over time. Many patients face additional challenges associated with the cost of complex, chronic illness management and must make difficult decisions about their own health, particularly when the costs of medications and healthcare appointments are at odds with basic food and housing needs. This scientific statement summarizes the SDOH and the current state of knowledge important to understanding their impact on patients with heart failure. Specifically, this document includes a definition of SDOH, provider competencies, and SDOH assessment tools and addresses the following questions: (1) What models or frameworks guide healthcare providers to address SDOH? (2) What are the SDOH affecting the delivery of care and the interventions addressing them that affect the care and outcomes of patients with heart failure? (3) What are the opportunities for healthcare providers to address the SDOH affecting the care of patients with heart failure? We also include a case study ( Data Supplement ) that highlights an interprofessional team effort to address and mitigate the effects of SDOH in an underserved patient with heart failure.

Telephone outreach by community workers to improve uptake of NHS Health Checks in more deprived localities and minority ethnic groups: a qualitative investigation of implementation

BACKGROUND

NHS Health Checks is a national cardiovascular risk assessment and management programme in England. To improve equity of uptake in more deprived, and Black, Asian and minority ethnic (BAME) communities, a novel telephone outreach intervention was developed. The outreach call included an invitation to an NHS Health Check appointment, lifestyle questions, and signposting to lifestyle services. We examined the experiences of staff delivering the intervention.

METHODS

Thematic analysis of semi-structured interviews with 10 community Telephone Outreach Workers (TOWs) making outreach calls, and 5 Primary Care Practice (PCP) staff they liaised with. Normalization Process Theory was used to examine intervention implementation.

RESULTS

Telephone outreach was perceived as effective in engaging patients in NHS Health Checks and could reduce related administration burdens on PCPs. Successful implementation was dependent on support from participating PCPs, and tensions between the intervention and other PCP priorities were identified. Some PCP staff lacked clarity regarding the intervention aim and this could reduce the potential to capitalize on TOWs' specialist skills.

CONCLUSIONS

To maximize the potential of telephone outreach to impact equity, purposeful recruitment and training of TOWs is vital, along with support and integration of TOWs, and the telephone outreach intervention, in participating PCPs.

Socioeconomic inequalities in hospitalizations for chronic ambulatory care sensitive conditions: a systematic review of peer-reviewed literature, 1990-2018

BACKGROUND

Hospitalizations for chronic ambulatory care sensitive conditions are an important indicator of health system equity and performance. Chronic ambulatory care sensitive conditions refer to chronic diseases that can be managed in primary care settings, including angina, asthma, and diabetes, with hospitalizations for these conditions considered potentially avoidable with adequate primary care interventions. Socioeconomic inequities in the risk of hospitalization have been observed in several health systems globally. While there are multiple studies examining the association between socioeconomic status and hospitalizations for chronic ambulatory care sensitive conditions, these studies have not been systematically reviewed. The objective of this study is to systematically identify and describe socioeconomic inequalities in hospitalizations for chronic ambulatory care sensitive conditions amongst adult populations in economically developed countries reported in high-quality observational studies published in the peer-reviewed literature.

METHODS

Peer-reviewed literature was searched in six health and social science databases: MEDLINE, EMBASE, PsycInfo, CINAHL, ASSIA, and IBSS using search terms for hospitalization, socioeconomic status, and chronic ambulatory care sensitive conditions. Study titles and abstracts were first screened followed by full-text review according to the following eligibility criteria: 1) Study outcome is hospitalization for selected chronic ambulatory care sensitive conditions; 2) Primary exposure is individual- or area-level socioeconomic status; 3) Study population has a mean age ± 1 SD < 75 years of age; 4) Study setting is economically developed countries; and 5) Study type is observational. Relevant data was then extracted, and studies were critically appraised using appropriate tools from The Joanna Briggs Institute. Results were narratively synthesized according to socioeconomic constructs and type of adjustment (minimally versus fully adjusted).

RESULTS

Of the 15,857 unique peer-reviewed studies identified, 31 studies met the eligibility criteria and were of sufficient quality for inclusion. Socioeconomic constructs and hospitalization outcomes varied across studies. However, despite this heterogeneity, a robust and consistent association between lower levels of socioeconomic status and higher risk of hospitalizations for chronic ambulatory care sensitive conditions was observed.

CONCLUSIONS

This systematic review is the first to comprehensively identify and analyze literature on the relationship between SES and hospitalizations for chronic ambulatory care sensitive conditions, considering both aggregate and condition-specific outcomes that are common to several international health systems. The evidence consistently demonstrates that lower socioeconomic status is a risk factor for hospitalization across global settings. Effective health and social interventions are needed to reduce these inequities and ensure fair and adequate care across socioeconomic groups.

TRIAL REGISTRATION

PROSPERO CRD42018088727.