Heart failure and socioeconomic status: accumulating evidence of inequality

Association between re-admission rate and hospital characteristics for ischemic heart disease

OBJECTIVE

Hospital re-admission is considered an important marker of patient health outcomes and healthcare system performance. Korea introduced the Korean Diagnosis Procedure Combination (KDPC) for all regional public hospitals in July 2012. This study examined re-admission rates within 30 days to assess whether the hospital payment system is associated with the re-admission rate, focusing on ischemic heart disease.

METHODS

A cross-sectional study was conducted using national claims data for 2013. We analyzed data of patients with a major diagnosis of ischemic heart disease who were admitted to general hospitals with more than 500 beds in Korea. Of the eight general hospitals, two that have been operating under the new Korean payment system were public hospitals using the KDPC, and the remaining six were private general hospitals with fee for service (FFS) systems. Multiple logistic regression analysis was used to identify associations between re-admission rate and hospital characteristics.

RESULTS

The study analyzed 4,290 cases (889 cases in KDPC and 3,401 cases in FFS). The 30-day unplanned re-admission rate was higher in KDPC than in FFS (7.9% vs 5.6%, respectively). The unplanned re-admission odds ratios of KDPC was 1.74.

CONCLUSIONS

KDPC had higher 30-day unplanned re-admissions rates than did FFS.

Socioeconomic disparities in clinical trials on Alzheimer's disease: a systematic review

BACKGROUND AND PURPOSE

There is now a wide consensus at recognizing social and economic circumstances as main determinants of an individual's health status. Nevertheless, characteristics relating to socioeconomic status (SES) are poorly described in research reports. The aim of the present review was to verify whether the SES of participants is adequately reported in interventional studies targeting Alzheimer's disease (AD), and to explore the impact of SES proxy measures on the efficacy of the considered medications.

METHODS

A systematic review of available randomized controlled trials (RCTs) on the currently marketed drugs for AD (i.e. cholinesterase inhibitors and memantine) was conducted by performing a structured search on PubMed and the Cochrane databases. The following indicators of SES were considered in the retained studies: (i) educational level, (ii) lifetime job category, (iii) income and (iv) wealth. The study quality was assessed using the Cochrane Risk of Bias Tool for Randomized Controlled Trials.

RESULTS

A total of 48 articles were finally selected. Overall, only eight RCTs reported data concerning the four considered SES indicators. Indeed, only information pertaining to the educational level of participants was provided. Only one RCT (n = 60) performed ad hoc, secondary analyses accounting for the SES of participating subjects.

CONCLUSIONS

The research and clinical relevance of SES has mistakenly been overlooked by the vast majority of RCTs on AD. A greater effort should be made to collect and report data on those SES indicators that may significantly affect the clinical manifestations and trajectories of patients with cognitive disturbances.

Temporal trends and patterns in heart failure incidence: a population-based study of 4 million individuals

BACKGROUND

Large-scale and contemporary population-based studies of heart failure incidence are needed to inform resource planning and research prioritisation but current evidence is scarce. We aimed to assess temporal trends in incidence and prevalence of heart failure in a large general population cohort from the UK, between 2002 and 2014.

METHODS

For this population-based study, we used linked primary and secondary electronic health records of 4 million individuals from the Clinical Practice Research Datalink (CPRD), a cohort that is representative of the UK population in terms of age and sex. Eligible patients were aged 16 years and older, had contributed data between Jan 1, 2002, and Dec 31, 2014, had an acceptable record according to CPRD quality control, were approved for CPRD and Hospital Episodes Statistics linkage, and were registered with their general practice for at least 12 months. For patients with incident heart failure, we extracted the most recent measurement of baseline characteristics (within 2 years of diagnosis) from electronic health records, as well as information about comorbidities, socioeconomic status, ethnicity, and region. We calculated standardised rates by applying direct age and sex standardisation to the 2013 European Standard Population, and we inferred crude rates by applying year-specific, age-specific, and sex-specific incidence to UK census mid-year population estimates. We assumed no heart failure for patients aged 15 years or younger and report total incidence and prevalence for all ages (>0 years).

FINDINGS

From 2002 to 2014, heart failure incidence (standardised by age and sex) decreased, similarly for men and women, by 7% (from 358 to 332 per 100 000 person-years; adjusted incidence ratio 0·93, 95% CI 0·91-0·94). However, the estimated absolute number of individuals with newly diagnosed heart failure in the UK increased by 12% (from 170 727 in 2002 to 190 798 in 2014), largely due to an increase in population size and age. The estimated absolute number of prevalent heart failure cases in the UK increased even more, by 23% (from 750 127 to 920 616). Over the study period, patient age and multi-morbidity at first presentation of heart failure increased (mean age 76·5 years [SD 12·0] to 77·0 years [12·9], adjusted difference 0·79 years, 95% CI 0·37-1·20; mean number of comorbidities 3·4 [SD 1·9] vs 5·4 [2·5]; adjusted difference 2·0, 95% CI 1·9-2·1). Socioeconomically deprived individuals were more likely to develop heart failure than were affluent individuals (incidence rate ratio 1·61, 95% CI 1·58-1·64), and did so earlier in life than those from the most affluent group (adjusted difference -3·51 years, 95% CI -3·77 to -3·25). From 2002 to 2014, the socioeconomic gradient in age at first presentation with heart failure widened. Socioeconomically deprived individuals also had more comorbidities, despite their younger age.

INTERPRETATION

Despite a moderate decline in standardised incidence of heart failure, the burden of heart failure in the UK is increasing, and is now similar to the four most common causes of cancer combined. The observed socioeconomic disparities in disease incidence and age at onset within the same nation point to a potentially preventable nature of heart failure that still needs to be tackled.

FUNDING

British Heart Foundation and National Institute for Health Research.

Socioeconomic deprivation and mode-specific outcomes in patients with chronic heart failure

Objective

To characterise the association between socioeconomic deprivation and adverse outcomes in patients with chronic heart failure (CHF).

Methods

We prospectively observed 1802 patients with CHF and left ventricular ejection fraction (LVEF) ≤45%, recruited in four UK hospitals between 2006 and 2014. We assessed the association between deprivation defined by the UK Index of Multiple Deprivation (IMD) and: mode-specific mortality (mean follow-up 4 years); mode-specific hospitalisation; and the cumulative duration of hospitalisation (after 1 year).

Results

A 45-point difference in mean IMD score was noted between patients residing in the least and most deprived quintiles of geographical regions. Deprivation was associated with age, sex and comorbidity, but not CHF symptoms, LVEF or prescribed drug therapy. IMD score was associated with the risk of age-sex adjusted all-cause mortality (6% higher risk per 10-unit increase in IMD score; 95% CI 2% to 10%; P=0.004), and non-cardiovascular mortality (9% higher risk per 10-unit increase in IMD score; 95% CI 3% to 16%; P=0.003), but not cardiovascular mortality. All-cause, but not heart failure-specific, hospitalisation was also more common in the most deprived patients. Overall, patients spent a cumulative 3.3 days in hospital during 1 year of follow-up, with IMD score being associated with the age-sex adjusted cumulative duration of hospitalisations (4% increase in duration per 10-unit increase in IMD score; 95% CI 3% to 6%; P<0.0005).

Conclusions

Socioeconomic deprivation in people with CHF is linked to increased risk of death and hospitalisation due to an excess of non-cardiovascular events.

Design of a bilevel clinical trial targeting adherence in heart failure patients and their providers: The Congestive Heart Failure Adherence Redesign Trial (CHART)

BACKGROUND

Socioeconomically disadvantaged patients are at an increased risk for adverse heart failure (HF) outcomes based upon nonadherence to medications and diet. Physicians are also suboptimally adherent to prescribing evidence-based therapy for HF.

METHODS

Congestive Heart Failure Adherence Redesign Trial (CHART) (NCT01698242) is a multicenter, bilevel, cluster randomized behavioral efficacy trial designed to assess the impact of intervening simultaneously on physicians and their socioeconomically disadvantaged patients (annual income <$30,000) having HF with reduced ejection fraction. Treatment arm physicians received individualized feedback on their adherence to prescribing evidence-based therapy. Their patients received weekly home visits from community health workers aimed at promoting understanding of HF and integrating adherence into daily life. Control arm physicians received regular updates on advances in HF management, and patients received monthly HF educational tip sheets produced by the American Heart Association. The primary outcome was all-cause hospital days over 30 months.

RESULTS

A total of 72 physicians (treatment, 35; control, 37) and their 320 patients (treatment, 157; control, 163) were recruited within 2 years. Randomization of physicians with all of their patients being assigned to the same arm was feasible and did not compromise the comparability of patients by arm. Using 5 recruiting hospitals located within disadvantaged neighborhoods produced a cohort that was primarily African American and representative of low-income urban patients with HF with reduced ejection fraction.

CONCLUSION

CHART will determine the value of intervening on low adherence simultaneously in physicians and their socioeconomically disadvantaged patients in reducing all-cause hospitalization days.

Interleukin-1 Blockade in Acute Decompensated Heart Failure: A Randomized, Double-Blinded, Placebo-Controlled Pilot Study

BACKGROUND

Heart failure is an inflammatory disease. Patients with acute decompensated heart failure (ADHF) exhibit significant inflammatory activity on admission. We hypothesized that Interleukin-1 blockade, with anakinra (Kineret, Swedish Orphan Biovitrum), would quench the acute inflammatory response in patients with ADHF.

METHODS

We randomized 30 patients with ADHF, reduced left ventricular ejection fraction (<40%), and elevated C reactive protein (CRP) levels (≥5 mg/L) to either anakinra 100 mg twice daily for 3 days followed by once daily for 11 days or matching placebo, in a 1:1 double blinded fashion. We measured daily CRP plasma levels using a high-sensitivity assay during hospitalization and then again at 14 days and evaluated the area-under-the-curve and interval changes (delta).

RESULTS

Treatment with anakinra was well tolerated. At 72 hours, anakinra reduced CRP by 61% versus baseline, compared with a 6% reduction among patients receiving placebo (P = 0.004 anakinra vs. placebo).

CONCLUSIONS

Interleukin-1 blockade with anakinra reduces the systemic inflammatory response in patients with ADHF. Further studies are warranted to determine whether this anti-inflammatory effect translates into improved clinical outcomes.

Effects of climate and fine particulate matter on hospitalizations and deaths for heart failure in elderly: A population-based cohort study

BACKGROUND

There are limited data on the effects of climate and air pollutant exposure on heart failure (HF) within taking into account individual and contextual variables.

OBJECTIVES

We measured the lag effects of temperature, relative humidity, atmospheric pressure and fine particulate matter (PM_2.5) on hospitalizations and deaths for HF in elderly diagnosed with this disease on a 10-year period in the province of Quebec, Canada.

METHODS

Our population-based cohort study included 112,793 elderly diagnosed with HF between 2001 and 2011. Time dependent Cox regression models approximated with pooled logistic regressions were used to evaluate the 3- and 7-day lag effects of daily temperature, relative humidity, atmospheric pressure and PM_2.5 exposure on HF morbidity and mortality controlling for several individual and contextual covariates.

RESULTS

Overall, 18,309 elderly were hospitalized and 4297 died for the main cause of HF. We observed an increased risk of hospitalizations and deaths for HF with a decrease in the average temperature of the 3 and 7days before the event. An increase in atmospheric pressure in the previous 7days was also associated with a higher risk of having a HF negative outcome, but no effect was observed in the 3-day lag model. No association was found with relative humidity and with PM_2.5 regardless of the lag period.

CONCLUSIONS

Lag effects of temperature and other meteorological parameters on HF events were limited but present. Nonetheless, preventive measures should be issued for elderly diagnosed with HF considering the burden and the expensive costs associated with the management of this disease.

The effect of socioeconomic disadvantage on prescription of guideline-recommended medications for patients with acute coronary syndrome: systematic review and meta-analysis

BACKGROUND

There are varying data on whether socioeconomic status (SES) affects the treatment in patients with acute coronary syndrome (ACS). Our aim was to obtain a reliable estimate of the effect of SES on discharge prescription of medications following an ACS through systematic review and meta-analysis.

METHODS

Medline, EMBASE and Global Health were searched systematically on 6th April 2016. Studies were eligible if the participants had ACS and reported the rate/odds of guideline-recommended ACS medications prescription (aspirin, antiplatelet, beta blocker, angiotensin co-enzyme inhibitors (ACEi)/angiotensin receptor blockers (ARB) and statin) at discharge stratified by SES. A meta-analysis was performed to pool the estimates, comparing the prescription ratio (PR) between the lowest and the highest SES groups.

RESULTS

Of 252 articles found from the search, seven met the eligibility criteria and it included 41,462 (20,986 from the lowest SES group) patients. We found that the individual/neighbourhood level SES did not affect the prescription of aspirin (PR (95% CI): 0.97 (0.91, 1.03)), but for beta blocker and statin, the lowest SES group were disadvantaged (0.84 (0.73, 0.94), 0.80 (0.62, 0.98), respectively). In contrast, ACEi were prescribed more often to the lowest individual/neighbourhood level SES group than the highest (1.13 (1.05, 1.22)). Although the risk of bias was low, there was considerable heterogeneity between the studies.

CONCLUSIONS

Despite the recommendations to close the treatment gap, the rate of prescription of guideline-recommended medications in managing ACS is significantly different between patients with the lowest and the highest groups. A solution is needed to provide equitable care across the SES groups.

PROSPERO REGISTRY

Systematic review registration no.: CRD42016048503. Registered 28 September 2016.

Epidemiology, Pathophysiology, and Prognosis of Heart Failure in Older Adults

Heart failure is the quintessential cardiovascular syndrome of aging that results from common cardiovascular conditions in older adults in conjunction with age-associated changes in cardiovascular structure and function. To a large extent, heart failure is a geriatric syndrome in much the same way that dementia, falls, and frailty are geriatric syndromes. The incidence and prevalence of heart failure increase strikingly with age and make heart failure the most common reason for hospitalization among older adults. Although outcomes for older adults with heart failure have improved over time, mortality, hospitalization, and rehospitalization rates remain high.

Association of Socioeconomic Status in Childhood With Left Ventricular Structure and Diastolic Function in Adulthood: The Cardiovascular Risk in Young Finns Study

IMPORTANCE

Increased left ventricular (LV) mass and diastolic dysfunction are associated with cardiovascular disease. Prospective data on effects of childhood socioeconomic status (SES) on measures of LV structure and function are lacking.

OBJECTIVE

To examine whether family SES in childhood was associated with LV mass and diastolic function after adjustment for conventional cardiovascular disease risk factors in childhood and adulthood.

DESIGN, SETTING, AND PARTICIPANTS

The analyses were performed in 2016 using data gathered in 1980 and 2011 within the longitudinal population-based Cardiovascular Risk in Young Finns Study. The sample comprised 1871 participants who reported family SES at ages 3 to 18 years and were evaluated for LV structure and function 31 years later.

EXPOSURES

Socioeconomic status was characterized as annual income of the family and classified on a 3-point scale.

MAIN OUTCOMES AND MEASURES

Left ventricular mass indexed according to height at the allometric power of 2.7 and the E/e' ratio describing LV diastolic performance at ages 34 to 49 years.

RESULTS

The participants were aged 3 to 18 years at baseline (mean [SD], 10.8 [5.0] years), and the length of follow-up was 31 years. Family SES was inversely associated with LV mass (mean [SD] LV mass index, 31.8 [6.7], 31.0 [6.6], and 30.1 [6.4] g/m2.7 in the low, medium, and high SES groups, respectively; differences [95% CI], 1.7 [0.6 to 2.8] for low vs high SES; 0.8 [-0.3 to 1.9] for low vs medium; and 0.9 [0.1 to 1.6] for medium vs high; overall P = .001) and E/e' ratio (mean [SD] E/e' ratio, 5.0 [1.0], 4.9 [1.0], and 4.7 [1.0] in the low, medium, and high SES groups, respectively; differences [95% CI], 0.3 [0.1 to 0.4] for low vs high SES; 0.1 [-0.1 to 0.3] for low vs medium; and 0.2 [0 to 0.3] for medium vs high; overall P < .001) in adulthood. After adjustment for age, sex, and conventional cardiovascular disease risk factors in childhood and adulthood, and participants' own SES in adulthood, the relationship with LV mass (differences [95% CI], 1.5 [0.2 to 2.8] for low vs high SES; 1.3 [0 to 2.6] for low vs medium; and 0.2 [-0.6 to 1.0] for medium vs high; P = .03) and E/e' ratio (differences [95% CI], 0.2 [0 to 0.5] for low vs high SES; 0.1 [-0.1 to 0.4] for low vs medium; and 0.1 [0 to 0.3] for medium vs high; P = .02) remained significant.

CONCLUSIONS AND RELEVANCE

Low family SES was associated with increased LV mass and impaired diastolic performance more than 3 decades later. These findings emphasize that approaches of cardiovascular disease prevention must be directed also to the family environment of the developing child.

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.

Design and Rationale of a Randomized Trial of a Care Transition Strategy in Patients With Acute Heart Failure Discharged From the Emergency Department: GUIDED-HF (Get With the Guidelines in Emergency Department Patients With Heart Failure)

GUIDED-HF (Get With the Guidelines in Emergency Department Patients With Heart Failure) is a multicenter randomized trial of a patient-centered transitional care intervention in patients with acute heart failure (AHF) who are discharged either directly from the emergency department (ED) or after a brief period of ED-based observation. To optimize care and reduce ED and hospital revisits, there has been significant emphasis on improving transitions at the time of hospital discharge for patients with HF. Such efforts have been almost exclusively directed at hospitalized patients; individuals with AHF who are discharged from the ED or ED-based observation are not included in these transitional care initiatives. Patients with AHF discharged directly from the ED or after a brief period of ED-based observation are randomly assigned to our transition GUIDED-HF strategy or standard ED discharge. Patients in the GUIDED arm receive a tailored discharge plan via the study team, based on their identified barriers to outpatient management and associated guideline-based interventions. This plan includes conducting a home visit soon after ED discharge combined with close outpatient follow-up and subsequent coaching calls to improve postdischarge care and avoid subsequent ED revisits and inpatient admissions. Up to 700 patients at 11 sites will be enrolled over 3 years of the study. GUIDED-HF will test a novel approach to AHF management strategy that includes tailored transitional care for patients discharged from the ED or ED-based observation. If successful, this program may significantly alter the current paradigm of AHF patient care.

CLINICAL TRIAL REGISTRATION

URL: http://www.clinicaltrials.gov. Unique identifier: NCT02519283.

Impact of Socioeconomic Status on Patients Supported With a Left Ventricular Assist Device: An Analysis of the UNOS Database (United Network for Organ Sharing)

BACKGROUND

Low socioeconomic status (SES) is a known risk factor for heart failure, mortality among those with heart failure, and poor post heart transplant (HT) outcomes. This study sought to determine whether SES is associated with decreased waitlist survival while on left ventricular assist device (LVADs) support and after HT.

METHODS AND RESULTS

A total of 3361 adult patients bridged to primary HT with an LVAD between May 2004 and April 2014 were identified in the UNOS database (United Network for Organ Sharing). SES was measured using the Agency for Healthcare Research and Quality SES index using data from the 2014 American Community Survey. In the study cohort, SES did not have an association with the combined end point of death or delisting on LVAD support (P=0.30). In a cause-specific unadjusted model, those in the top (hazard ratio, 1.55; 95% confidence interval, 1.14-2.11; P=0.005) and second greatest SES quartile (hazard ratio 1.50; 95% confidence interval, 1.10-2.04; P=0.01) had an increased risk of death on device support compared with the lowest SES quartile. Adjusting for clinical risk factors mitigated the increased risk. There was no association between SES and complications. Post-HT survival, both crude and adjusted, was decreased for patients in the lowest quartile of SES index compared with all other SES quartiles.

CONCLUSIONS

Freedom from waitlist death or delisting was not affected by SES. Patients with a higher SES had an increased unadjusted risk of waitlist mortality during LVAD support, which was mitigated by adjusting for increased comorbid conditions. Low SES was associated with worse post-HT outcomes. Further study is needed to confirm and understand a differential effect of SES on post-transplant outcomes that was not seen during LVAD support before HT.

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

REVIEW QUESTION/OBJECTIVE

The objective of this systematic review is to identify and synthesize the best available evidence on risk factors associated with hospital readmission at different time points within the first year after heart failure (HF) hospitalization in patients suffering from HF with reduced ejection fraction (EF).More specifically, the question is: what are the risk factors for the prediction of hospital readmission within seven, 15, 30, 60, 90, 180 and 365 days of discharge in hospitalized patients with HF with reduced EF aged 18 years or older?

Comorbidity and polypharmacy in chronic heart failure: a large cross-sectional study in primary care

BACKGROUND

Comorbidity is common in heart failure, but previous prevalence estimates have been based on a limited number of conditions using mainly non-primary care data sources.

AIM

To compare prevalence rates of comorbidity and polypharmacy in those with and without chronic heart failure due to left ventricular systolic dysfunction (LVSD).

DESIGN AND SETTING

A cross-sectional study of 1.4 million patients in primary care in Scotland.

METHOD

Data on the presence of LVSD, 31 other physical, and seven mental health comorbidities, and prescriptions were extracted from a database of 1 424 378 adults. Comorbidity prevalence was compared in patients with and without LVSD, standardised by age, sex, and deprivation. Pharmacology data were also compared between the two groups.

RESULTS

There were 17 285 patients (1.2%) who had a diagnosis of LVSD. Compared with standardised controls, the LVSD group had greater comorbidity, with the biggest difference found for seven or more conditions (odds ratio [OR] 4.10; 95% confidence interval (CI] = 3.90 to 4.32). Twenty-five physical conditions and six mental health conditions were significantly more prevalent in those with LVSD relative to standardised controls. Polypharmacy was higher in the LVSD group compared with controls, with the biggest difference found for ≥11 repeat prescriptions (OR 4.81; 95% CI = 4.60 to 5.04). However, these differences in polypharmacy were attenuated after controlling for the number of morbidities, indicating that much of the additional prescribing was accounted for by multimorbidity rather than LVSD per se.

CONCLUSION

Extreme comorbidity and polypharmacy is significantly more common in patients with chronic heart failure due to LVSD. The efficient management of such complexity requires the integration of general and specialist expertise.

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.

Received and needed social support in relation to sociodemographic and socio-economic factors in a population of people on sick leave due to heart failure

Aims

The aim of this study was to determine differences between sociodemographic and socio‐economic factors for perceptions of received and needed social support in a population of people on sick leave due to heart failure.

Methods and results

A cross‐sectional design was used. A postal questionnaire was distributed to all people in Sweden who had been sick listed due to heart failure during March to May 2012 (N = 1297). The questionnaire measured perceptions of received and needed social support from managers, colleagues at work, family and friends. Differences between groups were estimated with the Mann–Whitney U‐test. The sample included 414 men and 176 women aged 23 to 67 years (mean 58, median 60, SD = 6.75). Respondents with low income received significantly less support than respondents with high income and also needed significantly more support. Respondents with lower educational level needed significantly more support than people with higher education. Unmarried respondents needed significantly more support than married.

Conclusions

People with lower level of education, those who were unmarried and respondents with low income needed more support than they received. By identification of vulnerable patients, healthcare professionals can tailor and target supportive measures for patients who need extra social support.

Lower educational level and unemployment increase the impact of cardiometabolic conditions on the quality of life: results of a population-based study in South Australia

PURPOSE

To investigate if sociodemographic characteristics increase the adverse effects of cardiovascular diseases (CVD) and cardiometabolic risk factors (CMRF) on health-related quality of life (HRQoL).

METHODS

Cross-sectional, face-to-face survey investigating 2379 adults living in South Australia in 2015 (57.1 ± 14 years; 51.7% females). Questions included diagnosis of CMRF (obesity, diabetes, hypertension, dyslipidaemia) and CVD. Physical and mental HRQoL were assessed using the SF-12v1 questionnaire. Multiple linear regression models including confounders (sociodemographic, lifestyle, use of preventive medication) and interaction terms between sociodemographic variables and cardiometabolic conditions were used in adjusted analysis.

RESULTS

The prevalence of CMRF (one or more) was 54.6% and CVD was 13.0%. The physical HRQoL reduced from 50.8 (95%CI 50.2-51.4) in healthy individuals to 45.1 (95%CI 44.4-45.9) and 39.1 (95%CI 37.7-40.5) among those with CMRF and CVD, respectively. Adjustment for sociodemographic variables reduced these differences in 33%, remaining stable after controlling for lifestyle and use of preventive medications (p < 0.001). Differences in physical HRQoL according to cardiometabolic conditions were twice as high among those with lower educational level, or if they were not working. Among unemployed, having a CMRF or a CVD had the same impact on the physical HRQoL (9.7 lower score than healthy individuals). The inverse association between cardiometabolic conditions and mental HRQoL was subtle (p = 0.030), with no evidence of disparities due to sociodemographic variables.

CONCLUSIONS

A lower educational level and unemployment increase the adverse effects of cardiometabolic conditions on the physical HRQoL. Targeted interventions for reducing CMRF and/or CVD in these groups are necessary to improve HRQoL.

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.

Socioeconomic Deprivation and Survival After Heart Transplantation in England

Background—

Socioeconomic deprivation (SED) is associated with shorter survival across a range of cardiovascular and noncardiovascular diseases. The association of SED with survival after heart transplantation in England, where there is universal healthcare provision, is unknown.

Methods and Results—

Long-term follow-up data were obtained for all patients in England who underwent heart transplantation between 1995 and 2014. We used the United Kingdom Index of Multiple Deprivation (UK IMD), a neighborhood level measure of SED, to estimate the relative degree of deprivation for each recipient. Cox proportional hazard models were used to examine the association between SED and overall survival and conditional survival (dependant on survival at 1 year after transplantation) during follow-up. Models were stratified by transplant center and adjusted for donor and recipient age and sex, ethnicity, serum creatinine, diabetes mellitus, and heart failure cause. A total of 2384 patients underwent heart transplantation. There were 1101 deaths during 17 040 patient-year follow-up. Median overall survival was 12.6 years, and conditional survival was 15.6 years. Comparing the most deprived with the least deprived quintile, adjusted hazard ratios for all-cause mortality were 1.27 (1.04–1.55; P =0.021) and 1.59 (1.22–2.09; P =0.001) in the overall and conditional models, respectively. Median overall survival and conditional survival were 3.4 years shorter in the most deprived quintile than in the least deprived.

Conclusions—

Higher SED is associated with shorter survival in heart transplant recipients in England and should be considered when comparing outcomes between centers. Future research should seek to identify modifiable mediators of this association.

A potential role of anti-poverty programs in health promotion

Poverty is one of the most pervasive risk factors underlying poor health, but is rarely targeted to improve health. Research on the effects of anti-poverty interventions on health has been limited, at least in part because funding for that research has been limited. Anti-poverty programs have been applied on a large scale, frequently by governments, but without systematic development and cumulative programmatic experimental studies. Anti-poverty programs that produce lasting effects on poverty have not been developed. Before evaluating the effect of anti-poverty programs on health, programs must be developed that can reduce poverty consistently. Anti-poverty programs require systematic development and cumulative programmatic scientific evaluation. Research on the therapeutic workplace could provide a model for that research and an adaptation of the therapeutic workplace could serve as a foundation of a comprehensive anti-poverty program. Once effective anti-poverty programs are developed, future research could determine if those programs improve health in addition to increasing income. The potential personal, health and economic benefits of effective anti-poverty programs could be substantial, and could justify the major efforts and expenses that would be required to support systematic research to develop such programs.

Socioeconomic status and treatment outcomes for individuals with HIV on antiretroviral treatment in the UK: cross-sectional and longitudinal analyses

Background

Few studies have assessed the effect of socioeconomic status on HIV treatment outcomes in settings with universal access to health care. Here we aimed to investigate the association of socioeconomic factors with antiretroviral therapy (ART) non-adherence, virological non-suppression, and virological rebound, in HIV-positive people on ART in the UK.

Methods

We used data from the Antiretrovirals, Sexual Transmission Risk and Attitudes (ASTRA) questionnaire study, which recruited participants aged 18 years or older with HIV from eight HIV outpatient clinics in the UK between Feb 1, 2011, and Dec 31, 2012. Participants self-completed a confidential questionnaire on sociodemographic, health, and lifestyle issues. In participants on ART, we assessed associations of financial hardship, employment, housing, and education with: self-reported ART non-adherence at the time of the questionnaire; virological non-suppression (viral load >50 copies per mL) at the time of questionnaire in those who started ART at least 6 months ago (cross-sectional analysis); and subsequent virological rebound (viral load >200 copies per mL) in those with initial viral load of 50 copies per mL or lower (longitudinal analysis).

Findings

Of the 3258 people who completed the questionnaire, 2771 (85%) reported being on ART at the time of the questionnaire, and 2704 with complete data were included. 873 (32%) of 2704 participants reported non-adherence to ART and 219 (9%) of 2405 had virological non-suppression in cross-sectional analysis. Each of the four measures of lower socioeconomic status was strongly associated with non-adherence to ART, and with virological non-suppression (prevalence ratios [PR] adjusted for gender/sexual orientation, age, and ethnic origin: greatest financial hardship vs none 2·4, 95% CI 1·6–3·4; non-employment 2·0, 1·5–2·6; unstable housing vs homeowner 3·0, 1·9–4·6; non-university education 1·6, 1·2–2·2). 139 (8%) of 1740 individuals had subsequent virological rebound (rate=3·6/100 person-years). Low socioeconomic status was predictive of longitudinal rebound risk (adjusted hazard ratio [HR] for greatest financial hardship vs none 2·3, 95% CI 1·4–3·9; non-employment 3·0, 2·1–4·2; unstable housing vs homeowner 3·3, 1·8–6·1; non-university education 1·6, 1·1–2·3).

Interpretation

Socioeconomic disadvantage was strongly associated with poorer HIV treatment outcomes in this setting with universal health care. Adherence interventions and increased social support for those most at risk should be considered.

Funding

National Institute for Health Research.

Socioeconomic Inequalities in Heart Failure

Prevalence and incidence of chronic heart failure (CHF) has increased during the past decades. Beyond its impact on mortality rates, CHF severely impairs quality of life, particularly with the elderly and vulnerable population. Several studies have shown that CHF takes its toll mostly on the uneducated, low-income population, who exhibit impaired access to health care systems, less knowledge regarding its pathology and poorer self-care behaviors. This review summarizes the available evidence linking socioeconomic inequalities and CHF, focusing on the modifiable factors that may explain the impaired health outcomes in socioeconomically deprived populations.

African American Race Is Associated With Poorer Outcomes in Heart Failure Patients

Health care disparities associated with African American race may influence event-free survival in patients with heart failure (HF). A secondary data analysis included 863 outpatients enrolled in a multicenter HF registry. Cox regression was used to determine whether African American race was associated with shorter HF event-free survival after controlling for covariates. The multivariable-adjusted hazard ratios (95% confidence intervals [CI]) of older age (1.03, 95% CI = [1.01, 1.04]), New York Heart Association (NYHA) functional class (1.73, 95% CI = [1.29, 2.31]), depressive symptoms (1.05, 95% CI = [1.02, 1.07]), and African American race (1.64, 95% CI = [1.01, 2.68]) were predictors of shorter event-free survival (all ps < .05). Comparisons showed that NYHA functional class was predictive of shorter event-free survival in Caucasians (1.81, 95% CI = [1.33, 2.46]) but not in African Americans (1.24, 95% CI = [.40, 3.81]). African Americans with HF experienced a disparate risk of shorter event-free survival not explained by a variety of risk factors.

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.

Impact of socio-economic status on unplanned readmission following injury: A multicenter cohort study

BACKGROUND

Unplanned readmissions cost the US economy approximately $17 billion in 2009 with a 30-day incidence of 19.6%. Despite the recognised impact of socio-economic status (SES) on readmission in diagnostic populations such as cardiovascular patients, its impact in trauma patients is unclear. We examined the effect of SES on unplanned readmission following injury in a setting with universal health insurance. We also evaluated whether additional adjustment for SES influenced risk-adjusted readmission rates, used as a quality indicator (QI).

STUDY DESIGN

We conducted a multicenter cohort study in an integrated Canadian trauma system involving 56 adult trauma centres using trauma registry and hospital discharge data collected between 2005 and 2010. The main outcome was unplanned 30-day readmission; all cause, due to complications of injury and due to subsequent injury. SES was determined using ecological indices of material and social deprivation. Odds ratios of readmission and 95% confidence intervals adjusted for covariates were generated using multivariable logistic regression with a correction for hospital clusters. We then compared a readmission QI validated previously (original QI) to a QI with additional adjustment for SES (SES-adjusted QI) using the mean absolute difference.

RESULTS

The cohort consisted of 52,122 trauma admissions of which 6.5% were rehospitalised within 30 days of discharge. Compared to patients in the lowest quintile of social deprivation, those in the highest quintile had a 20% increase in the odds of all-cause unplanned readmission (95% CI=1.06-1.36) and a 27% increase in the odds of readmission due to complications of injury (95% CI=1.04-1.54). No association was observed for material deprivation or for readmissions due to subsequent injuries. We observed a strong agreement between the original and SES-adjusted readmission (mean absolute difference= 0.04%).

CONCLUSIONS

Patients admitted for traumatic injury who suffer from social deprivation have an increased risk of unplanned rehospitalisation due to complications of injury in the 30 days following discharge. Better discharge planning or follow up for such patients may improve patient outcome and resource use for trauma admissions. Despite observed associations, results suggest that the trauma QI based on unplanned readmission does not require additional adjustment for SES.

How to best assess quality of drug treatment in patients with heart failure

BACKGROUND

The proportion of patients with heart failure (HF) treated with angiotensin-converting enzyme inhibitors (ACEI) or angiotensin receptor blockers (ARB) is frequently used as quality indicator. This study aimed to compare agreement between different methods of calculating this quality indicator. In addition, characteristics for patients and care providers associated with a high proportion treated with ACEI or ARB were analyzed.

METHODS

This Swedish cross-sectional register-based study was conducted in the Stockholm region (2.1 million inhabitants). The proportion of patients with HF treated with ACEI or ARB was calculated by different methods applied on an administrative database on healthcare consumption, diagnoses, and dispensed drugs and by self-reported data from all primary care centers in the region.

RESULTS

A total of 32,677 patients recorded with a HF diagnosis 2008-2012 and alive July-December 2012 were identified. The proportion treated with ACEI or ARB varied depending on observation period and care provider included (range register 52-74 %). There was a large variation between different primary care centers (range register 36-88 %, range self-reported 8-100 %) and a poor agreement between methods (Bland-Altman; rhoc range 0.07-0.23). Predictors for high proportion treated were low age, high socioeconomic status, cardiovascular comorbidity, and diagnosis recorded both in primary care and in hospitals.

CONCLUSIONS

There is poor agreement between different methods to evaluate adherence to guidelines for drug treatment in HF. Differences between practices concerning patient age, socioeconomic status, comorbidity, and care given by different providers should be taken into account in quality assessment.

Life Course Socioeconomic Position: Associations with Cardiac Structure and Function at Age 60-64 Years in the 1946 British Birth Cohort

Although it is recognized that risks of cardiovascular diseases associated with heart failure develop over the life course, no studies have reported whether life course socioeconomic inequalities exist for heart failure risk. The Medical Research Council’s National Survey of Health and Development was used to investigate associations between occupational socioeconomic position during childhood, early adulthood and middle age and measures of cardiac structure [left ventricular (LV) mass index and relative wall thickness (RWT)] and function [systolic: ejection fraction (EF) and midwall fractional shortening (mFS); diastolic: left atrial (LA) volume, E/A ratio and E/e’ ratio)]. Different life course models were compared with a saturated model to ascertain the nature of the relationship between socioeconomic position across the life course and each cardiac marker. Findings showed that models where socioeconomic position accumulated over multiple time points in life provided the best fit for 3 of the 7 cardiac markers: childhood and early adulthood periods for the E/A ratio and E/e’ ratio, and all three life periods for LV mass index. These associations were attenuated by adjustment for adiposity, but were little affected by adjustment for other established or novel cardio-metabolic risk factors. There was no evidence of a relationship between socioeconomic position at any time point and RWT, EF, mFS or LA volume index. In conclusion, socioeconomic position across multiple points of the lifecourse, particularly earlier in life, is an important determinant of some measures of LV structure and function. BMI may be an important mediator of these associations.

Epidemiology and aetiology of heart failure

Heart failure (HF) is a rapidly growing public health issue with an estimated prevalence of >37.7 million individuals globally. HF is a shared chronic phase of cardiac functional impairment secondary to many aetiologies, and patients with HF experience numerous symptoms that affect their quality of life, including dyspnoea, fatigue, poor exercise tolerance, and fluid retention. Although the underlying causes of HF vary according to sex, age, ethnicity, comorbidities, and environment, the majority of cases remain preventable. HF is associated with increased morbidity and mortality, and confers a substantial burden to the health-care system. HF is a leading cause of hospitalization among adults and the elderly. In the USA, the total medical costs for patients with HF are expected to rise from US$20.9 billion in 2012 to $53.1 billion by 2030. Improvements in the medical management of risk factors and HF have stabilized the incidence of this disease in many countries. In this Review, we provide an overview of the latest epidemiological data on HF, and propose future directions for reducing the ever-increasing HF burden.

Chronic Heart Failure Clinical Practice Guidelines' Class 1-A Pharmacologic Recommendations: Start-to-End Synergistic Drug Therapy?

BACKGROUND

Chronic heart failure (HF) disease as an emerging epidemic has a high economic-psycho-social burden, hospitalization, readmission, morbidity and mortality rates despite many clinical practice guidelines' evidenced-based and consensus driven recommendations that include trials' initial-baseline data.

OBJECTIVE

To show that the survival and hospitalization-free event rates in the reviewed chronic HF clinical practice guidelines' class I-A recommendations as initial HF drug therapy (IDT) is possibly a combination and 'start-to-end' synergistic effect of the add-on ('end') HF drug therapy (ADT) to the baseline ('start') HF drug therapy (BDT).

METHODOLOGY

The references cited in the chronic HF clinical practice guidelines of the 2005, 2009, and 2013 American Heart Association/American College of Cardiology (AHA/ACC), the 2006 Heart Failure Society of America (HFSA), and the 2005, 2008, and 2012 European Society of Cardiology (ESC) were reviewed and compared with the respective guidelines' and other countries' recommendations.

RESULTS

The BDT using glycosides and diuretics is 79%-100% in the cited HF trials. The survival rates attributed to the BDT ('start') is 46%-89% and IDT ('end') 61%-92.8%, respectively. The hospitalization-free event rate of the BDT group: 47.1% to 85.3% and IDT group 61.8%-90%, respectively. Thus, the survival and hospitalization-free event rates of the ADT is 0.4%-15% and 4.6% to 14.7%, respectively. The extrapolated BDT survival is 8%-51% based on a 38% estimated natural HF survival rate for the time period109.

CONCLUSION

The contribution of baseline HF drug therapy (BDT) is relevant in terms of survival and hospitalization-free event rates compared to the HF class 1-A guidelines initial drug therapy recommendations (IDT). Further, the proposed initial HF drug ('end') therapy (IDT) has possible synergistic effects with the baseline HF drug ('start') therapy (BDT) and is essentially the add on HF drug therapy (ADT) in our analysis. The polypharmacy HF treatment is a synergistic effect due to BDT and ADT.

The Association of Socioeconomic Status With Subclinical Myocardial Damage, Incident Cardiovascular Events, and Mortality in the ARIC Study

The association between socioeconomic status (SES) and subclinical cardiovascular disease is not well understood. Using data from the Atherosclerosis Risk in Communities Study, we sought to evaluate the cross-sectional and prospective associations of SES, measured by annual income and educational level, with elevated high-sensitivity cardiac troponin T (hs-cTnT) concentrations (≥14 ng/L) using Poisson and multinomial logistic regressions, respectively. We used Cox proportional hazard models to compare the risks of coronary heart disease, heart failure, and mortality according to SES, stratified by baseline hs-cTnT concentration. Our study baseline was 1990-1992, with follow-up through 2011. We found an independent association between SES and hs-cTnT. When comparing participants in the lowest educational level group to those in the highest, the adjusted prevalence ratios for elevated hs-cTnT were 1.36 (95% confidence interval: 1.05, 1.75) overall, 1.83 (95% confidence interval: 1.23, 2.71) in blacks, and 1.05 (95% confidence interval: 0.73, 1.52) in whites (P for interaction = 0.08). Among participants with nonelevated hs-cTnT concentrations, when comparing those in the lowest income groups to those in the highest, the adjusted hazard ratios were strongest for heart failure and death. Having elevated baseline hs-cTnT doubled the risk of heart failure and death. Persons with low SES and elevated hs-cTnT concentrations have the greatest risk of cardiovascular events, which suggests that this group should be aggressively targeted for cardiovascular risk reduction.

Neighbourhood socio-economic status and all-cause mortality in adults with atrial fibrillation: A cohort study of patients treated in primary care in Sweden

OBJECTIVE

Our aim was to study the potential impact of neighbourhood socio-economic status (SES) on all-cause mortality in patients with atrial fibrillation (AF) treated in primary care.

METHODS

Study population included adults (n=12,283) of 45 years and older diagnosed with AF in 75 primary care centres in Sweden. Association between neighbourhood SES and all-cause mortality was explored using Cox regression analysis, with hazard ratios (HRs) and 95% confidence intervals (95% CIs), and by Laplace regression where years to death (95% CI) of the first 10% of the participants were used as an outcome. All models were conducted in both men and women and adjusted for age, educational level, marital status, change of neighbourhood status, cardiovascular co-morbidities, anticoagulant treatment and statin treatment. High- and low-neighbourhood SES were compared with middle SES as reference group.

RESULTS

After adjustments for potential confounders, higher relative risk of all-cause mortality (HR 1.49, 95% CI 1.13-1.96) was observed in men living in low SES neighbourhoods compared to those from middle SES neighbourhoods. The results were confirmed using Laplace regression; the time until the first 10% of the men in low SES neighbourhoods died was 1.45 (95% CI 0.48-2.42) years shorter than for the men in middle SES neighbourhoods.

CONCLUSIONS

Increased rates of heart disease and subsequent mortality among adults in deprived neighbourhoods raise important clinical and public health concerns. These findings could serve as an aid to policy-makers when allocating resources in primary health care settings as well as to clinicians who encounter patients in deprived neighbourhoods.

Heart failure clients' encounters with professionals and self-rated ability to return to work

BACKGROUND

People with heart failure are sick listed for long periods and disability pension is common. Healthcare professionals need knowledge about factors that can enhance their return to work processes.

AIMS

This study focus on people on sick leave due to heart failure and their encounters with healthcare professionals/social insurance officers. Specifically, it aimed to investigate associations between: (1) encounters and socio-demographic factors and, (2) encounters and self-rated ability to return to work.

MATERIAL AND METHODS

A cross-sectional study based on registry data and a postal questionnaire to people on sick leave due to heart failure (n = 590). Bivariate correlation analyses and logistic regression analyses were used. Results Gender, income, and age were strongly associated with encounters with both social insurance officers and healthcare professionals. Self-rated ability to return to work was associated with the encounters 'Made reasonable demands', 'Gave clear and adequate information/advice' and 'Did not keep our agreements'.

CONCLUSION AND SIGNIFICANCE

To enhance clients' abilities to return to work demands should be reasonable, information and advice need to be clear, and agreements should be kept. These results can be used by healthcare professionals as occupational therapists involved in vocational rehabilitation for people on sick leave due to heart failure.

[Chronic heart failure in the elderly patient]

The prevalence and incidence of heart failure (HF) is increasing, especially in the elderly population, and is becoming a major geriatric problem. Elderly patients with HF usually show etiopathogenic, epidemiological, and even clinical characteristics significantly different from those present in younger patients. Their treatment, however, derives from clinical trials performed with only a few elderly subjects. Moreover, beyond the cardiovascular disease itself, it is essential to evaluate the patient as a whole, given the interrelationship between HF and the characteristic geriatric syndromes of the elderly patient. This review examines the peculiarities in the most prevalent "real world" HF patient.

Inequity of access to ACE inhibitors in Swedish heart failure patients: a register-based study

Background

Several international studies suggest inequity in access to evidence-based heart failure (HF) care. Specifically, studies of ACE inhibitors (ACEIs) point to reduced ACEI access related to female sex, old age and socioeconomic position. Thus far, most studies have either been rather small, lacking diagnostic data, or lacking the possibility to account for several individual-based sociodemographic factors. Our aim was to investigate differences, which could reflect inequity in access to ACEIs based on sex, age, socioeconomic status or immigration status in Swedish patients with HF.

Methods

Individually linked register data for all Swedish adults hospitalised for HF in 2005–2010 (n=93 258) were analysed by multivariate regression models to assess the independent risk of female sex, high age, low employment status, low income level, low educational level or foreign country of birth, associated with lack of an ACEI dispensation within 1 year of hospitalisation. Adjustment for possible confounding was made for age, comorbidity, Angiotensin receptor blocker therapy, period and follow-up time.

Results

Analysis revealed an adjusted OR for no ACEI dispensation for women of 1.31 (95% CI 1.27 to 1.35); for the oldest patients of 2.71 (95% CI 2.53 to 2.91); and for unemployed patients of 1.59 (95% CI 1.46 to 1.73).

Conclusions

Access to ACEI treatment was reduced in women, older patients and unemployed patients. We conclude that access to ACEIs is inequitable among Swedish patients with HF. Future studies should include clinical data, as well as mortality outcomes in different groups.

The Association Between Life-Space and Health Care Utilization in Older Adults with Heart Failure

BACKGROUND

Life-space is associated with adverse health outcomes in older adults, but its role in health care utilization among individuals with heart failure is not well understood. We examined the relationship between life-space and both emergency department (ED) utilization and hospitalization.

METHODS

Participants were community-dwelling older adults with a verified diagnosis of heart failure who completed a baseline in-home assessment and at least one follow-up telephone interview. Life-space was measured at baseline and at follow-up every 6 months for 8.5 years. Poisson models were used to determine the association between life-space, measured at the beginning of each 6-month interval, and health care utilization, defined as ED utilization or hospitalization in the immediate ensuing 6 months, adjusting for sociodemographic and clinical confounders.

RESULTS

A total of 147 participants contributed 259 total health care utilization events involving an ED visit or a hospital admission. Multivariate analysis demonstrated an inverse association between life-space and health care utilization, where a clinically significant 10-point difference in life-space was independently associated with a 14% higher rate of ED utilization or hospitalization (incidence rate ratio 1.14, 95% CI 1.04-1.26, p = .004).

CONCLUSIONS

Life-space may be a useful identifier of community-dwelling older adults with heart failure at increased risk of ED visits or hospital admissions in the ensuing 6 months. Life-space may therefore be a potentially important component of intervention programs to reduce health care utilization.

Stage A Heart Failure Is Not Adequately Recognized in US Adults: Analysis of the National Health and Nutrition Examination Surveys, 2007-2010

BACKGROUND

Stage A heart failure (HF) is defined as people without HF symptoms or structural heart disease, but with predisposing conditions for HF. This classification is used to identify high risk patients to prevent progression to symptomatic HF. While guidelines exist for managing HF risk factors, achievement of treatment goals in the United States (US) population is unknown.

METHODS

We examined all adults with Stage A HF (≥20 years, N =4,470) in the National Health and Nutrition Examination Surveys (NHANES) 2007-2010, a nationally representative sample. Stage A HF was defined by coronary heart disease (CHD), hypertension, diabetes mellitus, or chronic kidney disease. We evaluated whether nationally accepted guidelines for risk factor control were achieved in Stage A patients, including sodium intake, body mass index, hemoglobin A1c (HbA1c), cholesterol, and blood pressure (BP). Pharmacologic interventions and socioeconomic factors associated with guideline compliance were also assessed.

RESULTS

Over 75 million people, or 1 in 3 US adults, have Stage A HF. The mean age of the Stage A population was 56.9 years and 51.5% were women. Seventy-two percent consume ≥2g sodium/day and 49.2% are obese. Of those with CHD, 58.6% were on a statin and 51.8% were on a beta-blocker. In people with diabetes, 43.6% had HbA1c ≥7%, with Mexican Americans more likely to have HbA1c ≥7% . Of those with hypertension, 30.8% had a systolic BP ≥140 or diastolic BP ≥90 mm Hg. Having health insurance was associated with controlled blood pressure, both in those with hypertension and diabetes. In CHD patients, income ≥$20,000/year and health insurance were inversely associated with LDL ≥100mg/dL with prevalence ratio (PR) of 0.58 (P=0.03) and 0.56 (P=0.03), respectively.

CONCLUSIONS

One-third of the US adult population has Stage A HF. Prevention efforts should focus on those with poorly controlled comorbid disease.

Is social deprivation an independent predictor of outcomes following cardiac surgery? An analysis of 240,221 patients from a national registry

OBJECTIVES

Social deprivation impacts on healthcare outcomes but is not included in the majority of cardiac surgery risk prediction models. The objective was to investigate geographical variations in social deprivation of patients undergoing cardiac surgery and identify whether social deprivation is an independent predictor of outcomes.

METHODS

National Adult Cardiac Surgery Audit data for coronary artery bypass graft (CABG), or valve surgery performed in England between April 2003 and March 2013, were analysed. Base hospitals in England were divided into geographical regions. Social deprivation was measured by quintile groups of the index of multiple deprivation (IMD) score with the first quintile group (Q1) being the least, and the last quintile group (Q5) the most deprived group. In-hospital mortality and midterm survival were analysed using mixed effects logistic, and stratified Cox proportional hazards regression models respectively.

RESULTS

240,221 operations were analysed. There was substantial regional variation in social deprivation with the proportion of patients in IMD Q5 ranging from 34.5% in the North East to 6.5% in the East of England. Following adjustment for preoperative risk factors, patients undergoing all cardiac surgery in IMD Q5 were found to have an increased risk of in-hospital mortality relative to IMD Q1 (OR=1.13; 95%CI 1.03 to 1.24), as were patients undergoing isolated CABG (OR=1.19; 95%CI 1.03 to 1.37). For midterm survival, patients in IMD Q5 had an increased hazard in all groups (HRs ranged between 1.10 (valve+CABG) and 1.26 (isolated CABG)). For isolated CABG, the median postoperative length of stay was 6 and 7 days, respectively, for IMD Q1-Q4 and Q5.

CONCLUSIONS

Significant regional variation exists in the social deprivation of patients undergoing cardiac surgery in England. Social deprivation is associated with an increased risk of in-hospital mortality and reduced midterm survival. These findings have implications for health service provision, risk prediction models and analyses of surgical outcomes.

Racial differences in clinical treatment and self-care behaviors of adults with chronic heart failure

BACKGROUND

In the United States, the highest prevalence of heart failure (HF) is in blacks followed by whites. Compared with whites, blacks have a higher risk of HF-related morbidity and mortality and HF-related hospitalization. Little research has focused on explaining the reasons for these disparities. The purpose of this study was to examine racial differences in demographic and clinical characteristics in blacks and whites with HF and to determine if these characteristics influenced treatment, or together with treatment, influenced self-care behaviors.

METHODS AND RESULTS

This was a secondary analysis of existing data collected from adults (n=272) with chronic HF enrolled from outpatient sites in the northeastern United States and followed for 6 months. After adjusting for sociodemographic and clinical characteristics within reduced (HFrEF) and preserved ejection fraction (HFpEF) groups, there were 2 significant racial differences in clinical treatment. Blacks with HFrEF were prescribed ACE inhibitors and hydralazine and isosorbide dinitrate (H-ISDN) more often than whites. In the HFpEF group, blacks were taking more medications and were prescribed digoxin and a diuretic when symptomatic. Deficits in HF knowledge and decreased medication adherence, objectively measured, were more prominent in blacks. These racial differences were not explained by sociodemographic or clinical characteristics or clinical treatment variables. Premorbid intellect and the quality of support received contributed to clinical treatment and self-care.

CONCLUSION

Although few differences in clinical treatment could be attributed solely to race, knowledge about HF and medication adherence is lower in blacks than whites. Further research is needed to explain these observations, which may be targets for future intervention research.

Socioeconomic status and the use of computed tomography in the emergency department

Background:

Low socioeconomic status (SES) is associated with adverse health outcomes. Possible explanations include differences in health status, access to health care, and care provided by clinicians. We sought to determine whether SES is associated with computed tomography (CT) use in the emergency department (ED).

Methods:

A retrospective cohort study of all Ontario ED patients (April 1, 2009, to March 31, 2010) using administrative databases was conducted, and patients were stratified into SES quintiles based on median neighbourhood income. Using multivariate logistical regression, CT scan use within SES quintiles was compared for all patients and subgroups based on chief complaints: headache, abdominal pain, and complex abdominal pain (age ≥ 65 years, high acuity, and admittance to hospital).

Results:

We analyzed 4,551,101 patient visits, of which 52% were female. Overall, 8.2% underwent CT scanning. In adjusted analyses, the lowest SES patients were less likely to undergo CT scanning overall and in all clinical subgroups, except for complex abdominal pain. Compared to the lowest SES quintile, the adjusted odds ratios of CT scanning in the highest SES quintile were 1.08 (95% CI 1.07–1.09), 1.28 (95%CI 1.22–1.34), and 1.24 (95% CI 1.21–1.27) for all patients, headache pain patients, and abdominal pain patients, respectively. For patients presenting with complex abdominal pain, no significant difference in CT use was observed.

Conclusion:

Lowest SES ED patients were less likely to receive CT scans overall and in headache and abdominal pain subgroups. No difference was seen among complex abdominal pain patients, suggesting that as clinical indications for the test become more clearcut, use across SES quintiles differs less.

Community factors and hospital readmission rates

OBJECTIVE

To examine the relationship between community factors and hospital readmission rates.

DATA SOURCES/STUDY SETTING

We examined all hospitals with publicly reported 30-day readmission rates for patients discharged during July 1, 2007, to June 30, 2010, with acute myocardial infarction (AMI), heart failure (HF), or pneumonia (PN). We linked these to publicly available county data from the Area Resource File, the Census, Nursing Home Compare, and the Neilsen PopFacts datasets.

STUDY DESIGN

We used hierarchical linear models to assess the effect of county demographic, access to care, and nursing home quality characteristics on the pooled 30-day risk-standardized readmission rate.

DATA COLLECTION/EXTRACTION METHODS

Not applicable.

PRINCIPAL FINDINGS

The study sample included 4,073 hospitals. Fifty-eight percent of national variation in hospital readmission rates was explained by the county in which the hospital was located. In multivariable analysis, a number of county characteristics were found to be independently associated with higher readmission rates, the strongest associations being for measures of access to care. These county characteristics explained almost half of the total variation across counties.

CONCLUSIONS

Community factors, as measured by county characteristics, explain a substantial amount of variation in hospital readmission rates.

Improving care for patients with acute heart failure: before, during and after hospitalization

Acute heart failure (AHF) is a common and serious condition that contributes to about 5% of all emergency hospital admissions in Europe and the USA. Here, we present the recommendations from structured discussions among an author group of AHF experts in 2013. The epidemiology of AHF and current practices in diagnosis, treatment, and long-term care for patients with AHF in Europe and the USA are examined. Available evidence indicates variation in the quality of care across hospitals and regions. Challenges include the need for rapid diagnosis and treatment, the heterogeneity of precipitating factors, and the typical repeated episodes of decompensation requiring admission to hospital for stabilization. In hospital, care should involve input from an expert in AHF and auditing to ensure that guidelines and protocols for treatment are implemented for all patients. A smooth transition to follow-up care is vital. Patient education programmes could have a dramatic effect on improving outcomes. Information technology should allow, where appropriate, patient telemonitoring and sharing of medical records. Where needed, access to end-of-life care and support for all patients, families, and caregivers should form part of a high-quality service. Eight evidence-based consensus policy recommendations are identified by the author group: optimize patient care transitions, improve patient education and support, provide equity of care for all patients, appoint experts to lead AHF care across disciplines, stimulate research into new therapies, develop and implement better measures of care quality, improve end-of-life care, and promote heart failure prevention.

Congestive heart failure adherence redesign trial: a pilot study

OBJECTIVE

Heart failure (HF) continues to be a leading cause of hospital admissions, particularly in underserved patients. We hypothesised that providing individualised self-management support to patients and feedback on use of evidence-based HF therapies (EBT) to physicians could lead to improvements in care and decrease hospitalisations. To assess the feasibility of conducting a larger trial testing the efficacy of this dual-level intervention, we conducted the Congestive Heart failure Adherence Redesign Trial Pilot (CHART-P), a proof-of-concept, quasi-experimental, feasibility pilot study.

SETTING

A large tertiary care medical centre in Chicago.

PARTICIPANTS

Low-income patients (<US$30,000/year) hospitalised for exacerbation of systolic HF (ejection fraction ≤50%) and their physicians. Twenty physicians and 33 patients were enrolled, of whom 23 patients completed the study.

INTERVENTIONS

Physicians received HF guidelines and periodic individualised feedback on their adherence to EBT. Patients received HF education, support and self-management training for diet and medication adherence by a trained nurse through 11 interactive sessions over a 4-month period. Evaluations were conducted pre-enrolment and 1 month postintervention completion.

OUTCOME MEASURES

Feasibility was assessed by the ability to deliver intervention to patients and physicians. Exploratory outcomes included changes in medication and sodium intake for patients and adherence to EBT for physicians.

RESULTS

Eighty-seven per cent and 82% of patients received >80% of interventions at 1 month and by study completion, respectively. Median sodium intake declined (3.5 vs 2.0 g; p<0.01). There was no statistically significant change in medication adherence based on electronic pill cap monitoring or the Morisky Medication Adherence Scale (MMAS); however, there was a trend towards improved adherence based on MMAS. All physicians received timely intervention.

CONCLUSIONS

This pilot study demonstrated that the protocol was feasible. It provided important insights about the need for intervention and the difficulties in treating patients with a variety of psychosocial problems that undercut their effective care.

Socioeconomic deprivation and the incidence of 12 cardiovascular diseases in 1.9 million women and men: implications for risk prediction and prevention

Background

Recent experimental evidence suggests that socioeconomic characteristics of neighbourhoods influence cardiovascular health, but observational studies which examine deprivation across a wide range of cardiovascular diseases (CVDs) are lacking.

Methods

Record-linkage cohort study of 1.93 million people to examine the association between small-area socioeconomic deprivation and 12 CVDs. Health records covered primary care, hospital admissions, a myocardial infarction registry and cause-specific mortality in England (CALIBER). Patients were aged ≥30 years and were initially free of CVD. Cox proportional hazard models stratified by general practice were used.

Findings

During a median follow-up of 5.5 years 114,859 people had one of 12 initial CVD presentations. In women the hazards of all CVDs except abdominal aortic aneurysm increased linearly with higher small-area socioeconomic deprivation (adjusted HR for most vs. least deprived ranged from 1.05, 95%CI 0.83–1.32 for abdominal aortic aneurysm to 1.55, 95%CI 1.42–1.70 for heart failure; I² = 81.9%, τ² = 0.01). In men heterogeneity was higher (HR ranged from 0.89, 95%CI 0.75–1.06 for cardiac arrest to 1.85, 95%CI 1.67–2.04 for peripheral arterial disease; I² = 96.0%, τ² = 0.06) and no association was observed with stable angina, sudden cardiac death, subarachnoid haemorrhage, transient ischaemic attack and abdominal aortic aneurysm. Lifetime risk difference between least and most deprived quintiles was most marked for peripheral arterial disease in women (4.3% least deprived, 5.8% most deprived) and men (4.6% least deprived, 7.8% in most deprived); but it was small or negligible for sudden cardiac death, transient ischaemic attack, abdominal aortic aneurysm and ischaemic and intracerebral haemorrhage, in both women and men.

Conclusions

Associations of small-area socioeconomic deprivation with 12 types of CVDs were heterogeneous, and in men absent for several diseases. Findings suggest that policies to reduce deprivation may impact more strongly on heart failure and peripheral arterial disease, and might be more effective in women.

Place of residence and outcomes of patients with heart failure: analysis from the telemonitoring to improve heart failure outcomes trial

BACKGROUND

Recent studies show an association between neighborhood-level measures of socioeconomic status (SES) and outcomes for patients with heart failure. We do not know whether neighborhood SES has a primary effect or is a marker for individual SES.

METHODS AND RESULTS

We used the data from participants of the Telemonitoring to Improve Heart Failure Outcomes (Tele-HF) trial, recruited from 33 US internal medicine and cardiology practices and examined the association between neighborhood SES and outcomes of patients with heart failure. We used census tracts as proxies for neighborhoods and constructed summary SES scores that included information about wealth and income, education, and occupation. The primary end points were readmission and all-cause mortality at 6 months. We conducted patient interviews and medical chart reviews to obtain demographic information, clinical factors, therapies, and individual SES. We included 1557 patients: 524, 516, and 517 from low, medium, and high SES neighborhoods, respectively (mean age, 61.1±15.2 years; 42.2% women).Overall, 745 patients (47.8%) had ≥1 readmission and 179 patients (11.5%) died. When compared with patients in high SES neighborhoods, those living in low-SES neighborhoods were more likely to be readmitted (odds ratio, 1.35; 95% confidence interval, 1.01-1.82), but the mortality rates were not significantly different (odds ratio, 0.78; 95% confidence interval, 0.50-1.18). The results were consistent after multivariable adjustments for individual demographics, clinical factors, and individual SES.

CONCLUSIONS

Among patients with heart failure, neighborhood SES was significantly associated with 6-month all-cause readmission even after adjusting for other patient-level factors, including individual SES. Greater number of events and longer follow-up is required to ascertain the potential effect of neighborhood SES on mortality.

CLINICAL TRIAL REGISTRATION URL

http://clinicaltrials.gov/. Unique identifier: NCT00303212.

General practitioners can evaluate the material, social and health dimensions of patient social status

Objective

To identify which physician and patient characteristics are associated with physicians' estimation of their patient social status.

Design

Cross-sectional multicentric survey.

Setting

Fourty-seven primary care private offices in Western Switzerland.

Participants

Random sample of 2030 patients ≥16, who encountered a general practitioner (GP) between September 2010 and February 2011.

Main measures

Primary outcome: patient social status perceived by GPs, using the MacArthur Scale of Subjective Social Status, ranging from the bottom (0) to the top (10) of the social scale.Secondary outcome: Difference between GP's evaluation and patient's own evaluation of their social status. Potential patient correlates: material and social deprivation using the DiPCare-Q, health status using the EQ-5D, sources of income, and level of education. GP characteristics: opinion regarding patients' deprivation and its influence on health and care.

Results

To evaluate patient social status, GPs considered the material, social, and health aspects of deprivation, along with education level, and amount and type of income. GPs declaring a frequent reflexive consideration of their own prejudice towards deprived patients, gave a higher estimation of patients' social status (+1.0, p = 0.002). Choosing a less costly treatment for deprived patients was associated with a lower estimation (−0.7, p = 0.002). GP's evaluation of patient social status was 0.5 point higher than the patient's own estimate (p<0.0001).

Conclusions

GPs can perceive the various dimensions of patient social status, although heterogeneously, according partly to their own characteristics. Compared to patients' own evaluation, GPs overestimate patient social status.