Socioeconomic status and hospitalization in the very old: a retrospective study

Effect of ethnicity and socioeconomic deprivation on uptake of renal supportive care and dialysis decision-making in older adults

Background

Renal supportive care has become an increasingly relevant treatment option as the renal patient population ages. Despite the prevalence of kidney disease amongst ethnic minority and socioeconomically deprived patients, evidence focused on supportive care and dialysis decision-making in these groups is limited.

Methods

This retrospective study selected older patients referred to a low clearance or supportive care service between 1 January 2015 and 31 December 2019. A descriptive analysis of clinical and socioeconomic characteristics according to treatment choice was produced and multivariate logistic regression models used to identify predictive factors for choosing supportive care. Surrogate markers for the success of decision-making processes were evaluated, including time taken to reach a supportive care decision and risk of death without making a treatment decision or within 3 months of starting kidney replacement therapy (KRT). Finally, the association between ethnicity and socioeconomic status and hospital admission rates was compared between treatment groups.

Results

Amongst 1768 patients, 515 chose supportive care and 309 chose KRT. Predictive factors for choosing supportive care included age, frailty and a diagnosis of cognitive impairment. However, there was no association with ethnicity or deprivation. Similarly, these factors were not associated with time taken to make a supportive care decision or the mortality outcome. Amongst those on KRT, more socially advantaged patients had decreased rates of hospital admissions compared with those less advantaged (incident rate ratio 0.96, 95% confidence interval 0.92-0.99).

Conclusion

Predictive factors for choosing supportive care were clinical, rather than socioeconomic. Lower socioeconomic status was associated with increased rates of hospitalization in the KRT group. This is a possible signal that these groups experienced greater morbidity on KRT versus supportive care, an association not demonstrated amongst higher socioeconomic groups.

Can a Home-Based Collaborative Care Model Reduce Health Services Utilization for Older Medicaid Beneficiaries Living with Depression and Co-occurring Chronic Conditions? A Quasi-experimental Study

Depression remains a major public health issue for older adults, increasing risk of costly health services utilization. While home-based collaborative care models (CCM) like PEARLS have been shown to effectively treat depression in low-income older adults living with multiple chronic conditions, their economic impact is unclear. We conducted a quasi-experimental study to estimate PEARLS effect on health service utilization among low-income older adults. Our secondary data analysis merged de-identified PEARLS program data (N = 1106), home and community-based services (HCBS) administrative data (N = 16,096), and Medicaid claims and encounters data (N = 164) from 2011 to 2016 in Washington State. We used nearest neighbor propensity matching to create a comparison group of social service recipients similar to PEARLS participants on key determinants of utilization guided by Andersen's Model. Primary outcomes were inpatient hospitalizations, emergency room (ER) visits, and nursing home days; secondary outcomes were long-term supports and services (LTSS), mortality, depression and health. We used an event study difference-in-difference (DID) approach to compare outcomes. Our final dataset included 164 older adults (74% female, 39% people of color, mean PHQ-9 12.2). One-year post-enrollment, PEARLS participants had statistically significant improvements in inpatient hospitalizations (69 fewer hospitalizations per 1000 member months, p = 0.02) and 37 fewer nursing home days (p < 0.01) than comparison group participants; there were no significant improvements in ER visits. PEARLS participants also experienced lower mortality. This study shows the potential value of home-based CCM for participants, organizations and policymakers. Future research is needed to examine potential cost savings.

Socioeconomic differences in older adults' unplanned hospital admissions: the role of health status and social network

BACKGROUND

the socioeconomic distribution of unplanned hospital admissions in older adults is poorly understood. We compared associations of two life-course measures of socioeconomic status (SES) with unplanned hospital admissions while comprehensively accounting for health, and examined the role of social network in this association.

METHODS

in 2,862 community-dwelling adults aged 60+ in Sweden, we derived (i) an aggregate life-course SES measure grouping individuals into Low, Middle or High SES based on a summative score, and (ii) a latent class measure that additionally identified a Mixed SES group, characterised by financial difficulties in childhood and old age. The health assessment combined measures of morbidity and functioning. The social network measure included social connections and support components. Negative binomial models estimated the change in hospital admissions over 4 years in relation to SES. Stratification and statistical interaction assessed effect modification by social network.

RESULTS

adjusting for health and social network, unplanned hospitalisation rates were higher for the latent Low SES and Mixed SES group (incidence rate ratio [IRR] = 1.38, 95% confidence interval [CI]: 1.12-1.69, P = 0.002; IRR = 2.06, 95% CI: 1.44-2.94, P < 0.001; respectively; ref: High SES). Mixed SES was at a substantially greater risk of unplanned hospital admissions among those with poor (and not rich) social network (IRR: 2.43, 95% CI: 1.44-4.07; ref: High SES), but the statistical interaction test was non-significant (P = 0.493).

CONCLUSION

socioeconomic distributions of older adults' unplanned hospitalisations were largely driven by health, although considering SES dynamics across life can reveal at-risk sub-populations. Financially disadvantaged older adults might benefit from interventions aimed at improving their social network.

The association of comorbidity with Parkinson's disease-related hospitalizations

INTRODUCTION

Unplanned hospital admissions associated with Parkinson's disease could be partly attributable to comorbidities.

METHODS

We studied nationwide claims databases and registries. Persons with newly diagnosed Parkinson's disease were identified based on the first Parkinson's disease-related reimbursement claim by a medical specialist. Comorbidities were classified based on the Charlson Comorbidity Index. We studied hospitalization admissions because of falls, psychiatric diseases, pneumonia and urinary tract infections, PD-related hospitalizations-not otherwise specified. The association between comorbidities and time-to-hospitalization was estimated using Cox proportional hazard modelling. To better understand pathways leading to hospitalizations, we performed multiple analyses on causes for hospitalizations.

RESULTS

We identified 18 586 people with newly diagnosed Parkinson's disease. The hazard of hospitalization was increased in persons with peptic ulcer disease (HR 2.20, p = 0.009), chronic obstructive pulmonary disease (HR 1.61, p < 0.001), stroke (HR 1.37, p = 0.002) and peripheral vascular disease (HR 1.31, p = 0.02). In the secondary analyses, the hazard of PD-related hospitalizations-not otherwise specified (HR 3.24, p = 0.02) and pneumonia-related hospitalization (HR 2.90, p = 0.03) was increased for those with comorbid peptic ulcer disease. The hazard of fall-related hospitalization (HR 1.57, p = 0.003) and pneumonia-related hospitalization (HR 2.91, p < 0.001) was increased in persons with chronic obstructive pulmonary disease. The hazard of pneumonia-related hospitalization was increased in those with stroke (HR 1.54, p = 0.03) or peripheral vascular disease (HR 1.60, p = 0.02). The population attributable risk of comorbidity was 8.4%.

CONCLUSION

Several comorbidities increase the risk of Parkinson's disease related-hospitalization indicating a need for intervention strategies targeting these comorbid disorders.

Socioeconomic Inequalities in Elective and Nonelective Hospitalizations in Older Men

IMPORTANCE

Among older adults, there is limited and inconsistent evidence on the association between socioeconomic position (SEP) and elective and nonelective hospitalization.

OBJECTIVE

To evaluate the association between SEP and all-cause and cause-specific elective and nonelective hospitalization and hospital length of stay among older men.

DESIGN, SETTING, AND PARTICIPANTS

This population-based, prospective cohort study used data from the Concord Health and Aging in Men Project (CHAMP). CHAMP recruited 1705 men aged 70 years or older between January 28, 2005, and June 4, 2007, in Sydney, Australia. Data were analyzed from February 1 to September 30, 2021.

EXPOSURES

Indicators of SEP, including education (university degree certificate, diploma or no postschool qualifications), occupation (professionals and managers; small employers and self-employed; or lower clerical, service, sales workers, skilled, and unskilled workers), and source of income (other sources of income than government pension, reliance on government pensions and other sources of income, or reliant solely on a government pension), and a cumulative SEP score (tertiles) as SEP indicators; 3-level variables present high, intermediate, and low SEP.

MAIN OUTCOMES AND MEASURES

All-cause and cause-specific elective and nonelective hospitalizations, number of hospitalizations, and length of stay were the study outcomes, ascertained through data linkage. Associations were quantified using competing-risks survival regression and negative binomial regression.

RESULTS

A total of 1566 men (mean [SD] age, 76.8 [5.4] years) were included. During a mean (SD) 9.07 (3.53) years of follow-up, 1067 men had at least 1 elective hospitalization, and 1255 men had at least 1 nonelective hospitalization. No associations were found between SEP and elective hospitalizations. Being in the lowest tertile for educational level (subhazard ratio [SHR], 1.32; 95% CI, 1.11-1.58), occupational position (SHR, 1.30; 95% CI, 1.12-1.50), sources of income (SHR, 1.33; 95% CI, 1.17-1.52), and cumulative SEP tertile groups (SHR, 1.45; 95% CI, 1.24-1.68) were all associated with having at least 1 nonelective hospitalization compared with those in the highest tertiles. Significant associations were found between being in the lowest SEP groups and increased numbers and longer length of stay of nonelective hospitalizations.

CONCLUSIONS AND RELEVANCE

In this prospective cohort study, low SEP was inversely associated with nonelective hospitalizations but not elective hospitalization in older men in Australia. These findings point to the existence of socioeconomic inequalities in health care use, indicative of a need to take action to reduce these inequalities.

Integrating patient complexity into health policy: a conceptual framework

Objective Clinicians across all health professions increasingly strive to add value to the care they deliver through the application of the central tenets of people-centred care (PCC), namely the 'right care', in the 'right place', at the 'right time' and 'tailored to the needs of communities'. This ideal is being hampered by a lack of a structured, evidence-based means to formulate policy and value the commissioning of services in an environment of increasing appreciation for the complex health needs of communities. This creates significant challenges for policy makers, commissioners and providers of health services. Communities face a complex intersection of challenges when engaging with healthcare. Increasingly, complexity is gaining prominence as a significant factor in the delivery of PCC. Based on the World Health Organization (WHO) components of health policy, this paper proposes a policy framework that enables policy makers, commissioners and providers of health care to integrate a model of complexity into policy, subsequent service planning and development of models of care. Methods The WHO components of health policy were used as the basis for the framework. Literature was drawn on to develop a policy framework that integrates complexity into health policy. Results Within the framework, complexity is juxtaposed between the WHO components of 'vision', 'priorities' and 'roles'. Conclusion This framework, supported by the literature, provides a means for policy makers and health planners to conduct analyses of and for policy. Further work is required to better model complexity in a manner that integrates consumer needs and provider capabilities. What is known about the topic? There is a growing body of evidence regarding patient complexity and its impact on the delivery of health services, but there is little consideration of patient complexity in policy, which is an important consideration for service provision. What does this paper add? This paper presents an argument for the inclusion of patient complexity in health policy and provides a framework for how that might occur. What are the implications for practitioners? The inclusion of patient complexity in policy could provide a means for policy makers to consider the factors that contribute to patient complexity in service provision decisions.

Contribution of Individual and Neighborhood Factors to Racial Disparities in Respiratory Outcomes

Rationale: Black adults have worse health outcomes compared with white adults in certain chronic diseases, including chronic obstructive pulmonary disease (COPD).Objectives: To determine to what degree disadvantage by individual and neighborhood socioeconomic status (SES) may contribute to racial disparities in COPD outcomes.Methods: Individual and neighborhood-scale sociodemographic characteristics were determined in 2,649 current or former adult smokers with and without COPD at recruitment into SPIROMICS (Subpopulations and Intermediate Outcome Measures in COPD Study). We assessed whether racial differences in symptom, functional, and imaging outcomes (St. George's Respiratory Questionnaire, COPD Assessment Test score, modified Medical Research Council dyspnea scale, 6-minute-walk test distance, and computed tomography [CT] scan metrics) and severe exacerbation risk were explained by individual or neighborhood SES. Using generalized linear mixed model regression, we compared respiratory outcomes by race, adjusting for confounders and individual-level and neighborhood-level descriptors of SES both separately and sequentially.Measurements and Main Results: After adjusting for COPD risk factors, Black participants had significantly worse respiratory symptoms and quality of life (modified Medical Research Council scale, COPD Assessment Test, and St. George's Respiratory Questionnaire), higher risk of severe exacerbations and higher percentage of emphysema, thicker airways (internal perimeter of 10 mm), and more air trapping on CT metrics compared with white participants. In addition, the association between Black race and respiratory outcomes was attenuated but remained statistically significant after adjusting for individual-level SES, which explained up to 12-35% of racial disparities. Further adjustment showed that neighborhood-level SES explained another 26-54% of the racial disparities in respiratory outcomes. Even after accounting for both individual and neighborhood SES factors, Black individuals continued to have increased severe exacerbation risk and persistently worse CT outcomes (emphysema, air trapping, and airway wall thickness).Conclusions: Disadvantages by individual- and neighborhood-level SES each partly explain disparities in respiratory outcomes between Black individuals and white individuals. Strategies to narrow the gap in SES disadvantages may help to reduce race-related health disparities in COPD; however, further work is needed to identify additional risk factors contributing to persistent disparities.

Life Course Socioeconomic Status and Risk of Hospitalization for Heart Failure or Atrial Fibrillation in The Moli-Sani Study Cohort

We investigated the association of cumulative socioeconomic disadvantage (CSD) and socioeconomic (SES) trajectories across life course with the risk of first hospitalization for heart failure (HF) or atrial fibrillation (AF) and tested some biological mechanisms in explaining such associations. Longitudinal analysis on 21,756 HF- and AF-free subjects recruited in the Moli-sani Study (2005-2010; Italy) and followed up for 8.2 years. CSD was computed using childhood SES, education and adulthood SES indicators, and the same were used to define overall trajectories. High disadvantage across life course (CSD≥8) posed subjects at increased risk of HF (Hazard ratio [HR]=2.58; 95%CI 1.78, 3.74) or AF (HR=1.57;1.05,2.33), as compared to low CSD. All explanatory factors accounted for 18.5% and 24% of the excess of HF and AF risks, respectively, associated with CSD. For subjects with low childhood SES, advancements in education lowered risk of HF (HR=0.70;0.48, 1.02) or AF (HR=0.50;0.28, 0.89), whereas achievements of adulthood SES were unlikely to contribute to disease reduction. In conclusion, a life-course disadvantaged SES is an important predictor of first hospitalization for HF and AF; known risk factors partially explained the SES-disease gradient. Upwardly mobile groups are likely to mitigate the effect of poor childhood circumstances especially through educational advancement.

Inequality in hospitalization due to non-communicable diseases in Sweden: Age-cohort analysis of the Uppsala Birth Cohort Multigenerational Study

We aimed to investigate cohort differences in age trajectories of hospitalization due to non-communicable conditions, and if these varied by paternal socioeconomic position. We used the Uppsala Birth Cohort Multigenerational Study—including virtually complete information on medical diagnoses.

Our sample constituted 28,448 individuals (103,262 observations). The outcome was five-year prevalence of hospitalization due to major non-communicable conditions in 1989–2008. The exposures were age (19–91), year-of-birth (1915–1929; 1938–1972), gender (man vs woman), and parental socioeconomic position (low, medium, and high). We used multilevel logit models to examine associations between exposures and the hospitalization outcome.

Younger cohorts had a higher prevalence of hospitalization at overlapping ages than those born earlier, with inter-cohort differences emerging from early-adulthood and increasing with age. For instance, at age 40 predicted probability of hospitalization increased across birth-cohorts—from 1.2% (born in 1948-52) to 2.0% (born in 1963-67)—whereas at age 50 it was 2.9% for those born in 1938-42 compared with 4.6% among participants born in 1953-57. Those with medium and low socioeconomic position had 13.0% and 20.0% higher odds of experiencing hospitalization during the observation period, respectively—when age, year-of-birth and gender were accounted for.

We found that no progress was made in reducing the socioeconomic inequalities in hospitalization across cohorts born between 1915 and 1972. Hence, more effective policies and interventions are needed to reduce the overall burden of morbidity—particularly among the most vulnerable.

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What is already known on this subject?

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The evidence on trends in morbidity in Sweden is mainly cross-sectional and focused on individual conditions.

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Rates of various indicators of morbidity (e.g. poor mobility, psychological distress, disability) have increased over time.

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What this study adds.

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Successively younger birth cohorts had a higher prevalence of hospitalization, with differences emerging in early-adulthood.

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Those in medium and low parental socioeconomic position (vs high) had 13% and 20% higher odds of hospitalization.

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No progress was made in reducing the socioeconomic inequalities across cohorts born between 1915 and 1972.

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

OBJECTIVES

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

DESIGN

A retrospective study.

PARTICIPANTS

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

PRIMARY OUTCOMES

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

RESULTS

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

CONCLUSION

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

Reducing socioeconomic inequalities in COPD care in the hospital outpatient setting - A nationwide initiative

OBJECTIVE

Socioeconomic differences in quality of care have been suggested to contribute to inequality in clinical prognosis of COPD. We examined socioeconomic differences in the quality of COPD outpatient care and the potential of a systematic quality improvement initiative in reducing potential socioeconomic differences.

METHODS

A mandatory national quality improvement initiative has since 2008 monitored the quality of COPD care at all national pulmonary specialized outpatient clinics in Denmark using six evidence-based process performance measures. We followed patients aged ≥30 years with a first-ever outpatient contact for COPD during 2008-2012 (N = 23,741). Adjusted year-specific relative risks (RR) of fulfilling all relevant process performance measures was compared according to ethnicity, education, income, employment, and cohabitation using Poisson regression.

RESULTS

Quality of care improved following the implementation of the clinical improvement initiative with 11% of COPD patients receiving optimal care in 2008 compared to 57% in 2012. Substantial socioeconomic differences were observed the first year: immigrants (RR 0.41, 95% CI 0.21-0.82), the unemployed (RR 0.37, 95% CI 0.18-0.74), disability pensioners (RR 0.63, 95% CI 0.46-0.87) and patients living alone (RR 0.80, 95% CI 0.60-0.97) were less likely to receive all relevant care processes, whereas those with highest education (RR 1.22, 95% CI 0.92-1.63) were more likely to receive these processes. These differences were eliminated during the study period.

CONCLUSION

A systematic quality improvement initiative including regular audits, knowledge sharing, and detailed disease-specific recommendations for care improvement may increase the overall quality of care and considerably modify the substantial socioeconomic inequalities in COPD management.

Defining and targeting health disparities in chronic obstructive pulmonary disease

The global burden of chronic obstructive pulmonary disease (COPD) continues to grow in part due to better outcomes in other major diseases and in part because a substantial portion of the worldwide population continues to be exposed to inhalant toxins. However, a disproportionate burden of COPD occurs in people of low socioeconomic status (SES) due to differences in health behaviors, sociopolitical factors, and social and structural environmental exposures. Tobacco use, occupations with exposure to inhalant toxins, and indoor biomass fuel (BF) exposure are more common in low SES populations. Not only does SES affect the risk of developing COPD and etiologies, it is also associated with worsened COPD health outcomes. Effective interventions in these people are needed to decrease these disparities. Efforts that may help lessen these health inequities in low SES include 1) better surveillance targeting diagnosed and undiagnosed COPD in disadvantaged people, 2) educating the public and those involved in health care provision about the disease, 3) improving access to cost-effective and affordable health care, and 4) markedly increasing the efforts to prevent disease through smoking cessation, minimizing use and exposure to BF, and decreasing occupational exposures. COPD is considered to be one the most preventable major causes of death from a chronic disease in the world; therefore, effective interventions could have a major impact on reducing the global burden of the disease, especially in socioeconomically disadvantaged populations.

Socioeconomic inequalities in adherence to inhaled maintenance medications and clinical prognosis of COPD

BACKGROUND

Low socioeconomic status has been associated with adverse outcomes in chronic obstructive pulmonary disease (COPD), but population-based data are sparse. We examined the impact of education, employment, income, ethnicity, and cohabitation on the risk of suboptimal adherence to inhaled medication, exacerbations, acute admissions, and mortality among COPD patients.

METHODS

Using nationwide healthcare registry data we identified 13,369 incident hospital clinic outpatients with COPD during 2008-2012. We estimated medication adherence as proportion of days covered (PDC) one year from first contact. With Poisson regression we computed adjusted relative risks (aRR) of poor adherence and non-use. With Cox regression we calculated adjusted hazard ratios (aHR) of clinical outcomes.

RESULTS

32% were poor adherers (PDC<0.8) and 5% non-users (PDC = 0). Analyses showed a higher risk of poor adherence among unemployed (aRR1.36, 95% CI 1.20-1.54), low income patients (aRR = 1.07, 95% CI 1.00-1.16), immigrants (aRR = 1.29, 95% CI 1.17-1.44), and patients living alone (aRR = 1.17, 95% CI 1.11-1.24). Similarly, non-use was associated with unemployment (aRR = 2.75, 95% CI 2.09-3.62), low income (aRR = 1.37, 95% CI 1.10-1.70), immigrant status (aRR = 1.56, 95% CI 1.17-2.08), and living alone (aRR = 1.53, 95% CI 1.30-1.81). Low education was associated with exacerbations (aHR = 1.21, 95% CI 1.10-1.35) and admissions (aHR = 1.22, 95% CI 1.07-1.38). Low income was associated with admissions (aHR = 1.20, 95% CI 1.09-1.32), and death (aHR = 1.11, 95% CI 0.99-1.25). The unemployed and those living alone had lower exacerbation-risk but higher mortality-risk.

CONCLUSIONS

In Denmark, health equity is a stated priority in a public health care system. Nevertheless, there are substantial socioeconomic inequalities in COPD treatment and outcomes.

Income Related Inequality of Health Care Access in Japan: A Retrospective Cohort Study

The purpose of this retrospective cohort study was to analyze the association between income level and health care access in Japan. Data from a total of 222,259 subjects (age range, 0–74 years) who submitted National Health Insurance claims in Chiba City from April 2012 to March 2014 and who declared income for the tax period from January 1 to December 31, 2012 were integrated and analyzed. The generalized estimating equation, in which household was defined as a cluster, was used to evaluate the association between equivalent income and utilization and duration of hospitalization and outpatient care services. A significant positive linear association was observed between income level and outpatient visit rates among all age groups of both sexes; however, a significantly higher rate and longer period of hospitalization, and longer outpatient care, were observed among certain lower income subgroups. To control for decreased income due to hospitalization, subjects hospitalized during the previous year were excluded, and the data was then reanalyzed. Significant inverse associations remained in the hospitalization rate among 40–59-year-old men and 60–69-year-old women, and in duration of hospitalization among 40–59 and 60–69-year-olds of both sexes and 70–74-year-old women. These results suggest that low-income individuals in Japan have poorer access to outpatient care and more serious health conditions than their higher income counterparts.

Occupational class differences in later life hospital use by women who survived to age 80: the Renfrew and Paisley prospective cohort study

BACKGROUND

population ageing challenges the sustainability of healthcare provision.

OBJECTIVE

to investigate occupational class differences in hospital use in women aged 80+ years.

METHODS

a total of 8,353 female residents, aged 45-64, took part in the Renfrew and Paisley prospective cohort study in 1972-76. Information on general and mental health hospital discharges was provided from computerised linkage with the Scottish Morbidity Records data to 31 December 2012. Numbers of admissions and bed-days after the 80th birthday were calculated for all and specific causes. Rate ratios by occupational class were calculated using negative binomial regression analysis, adjusting for age and a range of risk factors.

RESULTS

four thousand and four hundred and seven (56%) women survived to age 80 and had 17,563 general admissions thereafter, with a mean stay of 19.4 days. There were no apparent relationships with occupational class for all general admissions, but lower occupational class was associated with higher rate ratios for coronary heart disease and stroke and lower rate ratios for cancer. Adjustment for risk factors could not fully explain the raised rate ratios. Bed-day use was higher in lower occupational classes, especially for stroke. There were strong associations with mental health admissions, especially dementia. Compared with the highest occupational class, admission rate ratios for dementia were higher for the lowest occupational class (adjusted rate ratio = 2.60, 95% confidence interval 1.79-3.77).

CONCLUSION

in this population, there were no socio-economic gradients seen in hospital utilisation for general admissions in old age. However, occupational class was associated with mental health admissions, coronary heart disease, stroke and cancer.

Predicting risk of hospital and emergency department use for home care elderly persons through a secondary analysis of cross-national data

BACKGROUND

Older adults remain the highest utilization group with unplanned visits to emergency departments and hospital admissions. Many have considered what leads to this high utilization and the answers provided have depended upon the independent measures available in the datasets used. This project was designed to further understanding of the reasons for older adult ED visits and admissions to acute care hospitals.

METHODS

A secondary analysis of data from a cross-national sample of community residing elderly, 60 years of age or older, and most of whom received services from a local home-care program was conducted. The assessment instrument used in this study is the interRAI HC (home care), designed for use in assessing elderly home care recipients. The model specification stage of the study identified the baseline independent variables that do and do not predict the follow-up measure of hospitalization and ED use. Stepwise logistic regression was used next to identify characteristics that best identified elders who subsequently entered a hospital or visited an ED. The items generated from the final multivariate logistic equation using the interRAI home care measures comprise the interRAI Hospital-ED Risk Index.

RESULTS

Independent measures in three key domains of clinical complications, disease diagnoses and specialized treatments were related to subsequent hospitalization or ED use. Among the eighteen clinical complication measures with higher, meaningful odds ratios are pneumonia, urinary tract infection, fever, chest pain, diarrhea, unintended weight loss, a variety of skin conditions, and subject self-reported poor health. Disease diagnoses with a meaningful relationship with hospital/ED use include coronary artery disease, congestive heart failure, cancer, emphysema and renal failure. Specialized treatments with the highest odds ratios were blood transfusion, IV infusion, wound treatment, radiation and dialysis. Two measures, Alzheimer's disease and day care appear to have a protective effect for hospitalization/ED use with lower odds ratios.

CONCLUSIONS

Examination into "preventable" hospitalizations and re-hospitalizations for older adults who have the highest rates of utilization are occurring beneath an umbrella of assuring the highest quality of care and controlling costs. The interRAI Hospitalization-ED Risk Index offers an effective approach to predicting hospitalization utilization among community dwelling older adults.

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.

Chronic Obstructive Pulmonary Disease in the elderly

The prevalence of Chronic Obstructive Pulmonary Disease (COPD) dramatically increases with age, and COPD complicated by chronic respiratory failure may be considered a geriatric condition. Unfortunately, most cases remain undiagnosed because of atypical clinical presentation and difficulty with current respiratory function diagnostic standards. Accordingly, the disease is under-recognized and undertreated. This is expected to impact noticeably the health status of unrecognized COPD patients because a timely therapy could mitigate the distinctive and important effects of COPD on the health status. Comorbidity also plays a pivotal role in conditioning both the health status and the therapy of COPD besides having major prognostic implication. Several problems affect the overall quality of the therapy for the elderly with COPD, and current guidelines as well as results from pharmacological trials only to some extent apply to this patient. Finally, physicians of different specialties care for the elderly COPD patient: physician's specialty largely determines the kind of approach. In conclusion, COPD, in itself a complex disease, becomes difficult to identify and to manage in the elderly. Interdisciplinary efforts are desirable to provide the practicing physician with a multidisciplinary guide to the identification and treatment of COPD.

Socioeconomic status and prognosis of COPD in Denmark

We investigated the association between length of school education and 5-year prognosis of chronic obstructive lung disease (COPD), including exacerbations, hospital admissions and survival. We used sample of general population from two independent population studies: The Copenhagen City Heart Study and Copenhagen General Population Study. A total of 6,590 individuals from general population of Copenhagen with COPD defined by the Global initiative for obstructive lung disease criteria were subdivided into 4 groups based on the length of school education: 1,590 with education < 8 years; 3,131 with education 8-10 years, 1,244 with more than 10 years, but no college/university education and 625 with college/university education. Compared with long education, short education was associated with current smoking (p < 0.001), higher prevalence of respiratory symptoms (p < 0.001) and lower forced expiratory volume in the first second in percent of predicted value (FEV1%pred) (p < 0.001). Adjusting for sex, age, FEV1%pred, dyspnea, frequency of previous exacerbations and smoking we observed that shortest school education (in comparison with university education), was associated with a higher risk of COPD exacerbations (hazards ratio 1.65, 95% CI 1.15-2.37) and higher risk of all-cause mortality (hazards ratio 1.96, 95% CI 1.28-2.99). We conclude that even in an economically well-developed country with a health care system (which is largely free of charge), low socioeconomic status, assessed as the length of school education, is associated with a poorer clinical prognosis of COPD.

Hospital length of stay for incident heart failure: Atherosclerosis Risk in Communities (ARIC) cohort: 1987-2005

Heart failure (HF) accounts for 6.5 million hospital days per year. It remains unknown if socioeconomic factors are associated with hospital length of stay (LOS). We analyzed predictors of longer hospital LOS [mean (days), 95% confidence interval (CI)] among participants with incident hospitalized HF (n = 1,300) in the Atherosclerosis Risk in Communities (ARIC) cohort from 1987 to 2005. In a statistical model adjusted for median household income, age, gender, race/study community, education level, hypertension, alcohol use, smoking, Medicaid status, and Charlson comorbidity index score, Medicaid recipients experienced a longer LOS (7.5, 6.3-8.9) compared to non-Medicaid recipients (6.2, 5.7-6.7), and patients with a higher burden of comorbidity had a longer LOS (7.5, 6.4-8.6) compared to patients with a lower burden (6.2, 5.7-6.9). Median household income and education were not associated with longer LOS in multivariable models. Medicaid recipients and patients with more comorbid disease may not have the resources for adequate, comprehensive, out-of-hospital management of HF symptoms, and may require a longer LOS due to the need for more care during the hospitalization because of more severe HF. Data on out-of-hospital management of chronic diseases as well as HF severity are needed to further elucidate the mechanisms leading to longer LOS among subgroups of HF patients.

How can socioeconomic inequalities in hospital admissions be explained? A cohort study

OBJECTIVES

To investigate which antecedent risk factors can explain the social patterning in hospital use.

DESIGN

Prospective cohort study with up to 37 years of follow-up.

SETTING

Representative community sample in the West of Scotland.

PARTICIPANTS

7049 men and 8353 women aged 45-64 years were recruited into the study from the general population between 1972 and 1976 (78% of the eligible population).

PRIMARY AND SECONDARY OUTCOME MEASURES

Hospital admissions and bed days by cause and by classification into emergency or non-emergency.

RESULTS

All-cause hospital admission rate ratios (RRs) were not obviously socially patterned for women (RR 1.04, 95% CI 0.98 to 1.10) or men (RR 1.0, 95% CI 0.94 to 1.06) in social classes IV and V compared with social classes I and II. However, cardiovascular disease, coronary heart disease and stroke in women, and respiratory disease for men and women were socially patterned, although this attenuated markedly with the addition of baseline risk factors. Hospital bed days were generally socially patterned and the differences were largely explained by baseline risk factors. The overall RRs of mental health admissions in contrast were socially patterned for women (RR 1.77, 95% CI 1.38 to 2.27) and men (RR 1.51, 95% CI 1.11 to 2.06) in social classes IV and V compared with social classes I and II, but the pattern did not attenuate with the addition of baseline risk factors. Emergency hospital admissions were associated with lower social class, but there was an inverse relationship for non-emergency hospital admissions.

CONCLUSIONS

Overall admissions to hospital were only marginally socially patterned, and less than would be expected on the basis of the gradient in baseline risk. However, there was marked social patterning in admissions for mental health problems. Non-emergency hospital admissions were patterned inversely according to risk. Further work is required to explain and address this inequitable gradient in healthcare use.

Heart failure and socioeconomic status: accumulating evidence of inequality

AIMS

Socioeconomic status (SES) is a powerful predictor of incident coronary disease and adverse cardiovascular outcomes. Understanding the impact of SES on heart failure (HF) development and subsequent outcomes may help to develop effective and equitable prevention, detection, and treatment strategies

METHODS AND RESULTS

A systematic literature review of electronic databases including PubMed, EMBASE, CINAHL, and the Cochrane Library, restricted to human subjects, was carried out. The principal outcomes were incidence, prevalence, hospitalizations, mortality, and treatment of HF. Socioeconomic measures included education, occupation, employment relations, social class, income, housing characteristics, and composite and area level indicators. Additional studies were identified from bibliographies of relevant articles and reviews. Twenty-eight studies were identified. Lower SES was associated with increased incidence of HF, either in the community or presenting to hospital. The adjusted risk of developing HF was increased by ∼30-50% in most reports. Readmission rates following hospitalization were likewise greater in more deprived patients. Although fewer studies examined mortality, lower SES was associated with poorer survival. Evidence defining the equity of medical treatment of patients with HF was scarce and conflicting.

CONCLUSIONS

Socioeconomic deprivation is a powerful independent predictor of HF development and adverse outcomes. However, the precise mechanisms accounting for this risk remain elusive. Heart failure represents the endpoint of numerous different pathophysiological processes and 'chains of events', each modifiable throughout the disease trajectories. The interaction between SES and HF is accordingly complex. Disentangling the many and varied life course processes is challenging. A better understanding of these issues may help attenuate the health inequalities so clearly evident among patients with HF.

Chronic obstructive pulmonary disease and socioeconomic status: a systematic review

BACKGROUND

Along with age and sex, socioeconomic status is one of the most powerful determinants of health. We conducted a systematic review to examine the consistency and magnitude of the association between socioeconomic status and COPD health outcomes to determine the potential impact of SES disparity on the COPD population.

METHODS

Electronic databases to October 2011 were searched for studies of adults who had or were at risk for COPD that quantified an association between a measure of socioeconomic status and at least one COPD health outcome. Two authors independently reviewed studies, assessed study quality, and for eligible studies, extracted data.

RESULTS

Regardless of the population, socioeconomic status measure or COPD outcome examined, with few exceptions, consistent significant inverse associations between socioeconomic status and COPD outcomes were found. Most studies found that individuals of the lowest socioeconomic strata were at least twice as likely to have poor outcomes as those of the highest (range from no difference to 10-fold difference).

CONCLUSIONS

Social and economic disadvantage appears to have a significant consistent impact on COPD mortality and morbidity. These findings point to the need for public health strategies and research to address socioeconomic status disparity in individuals with COPD.

Heart rate turbulence for prediction of heart transplantation and mortality in chronic heart failure

BACKGROUND

Previous studies have shown conflicting results about the value of heart rate turbulence (HRT) for risk stratification of patients (pts) with chronic heart failure (CHF). We prospectively evaluated the relation between HRT and progression toward end-stage heart failure or all-cause mortality in patients with CHF.

METHODS

HRT was assessed from 24-hour Holter recordings in 110 pts with CHF (54 in NYHA class II, 56 in class III-IV; left ventricular ejection fraction (LVEF) 30%+/- 10%) on optimal pharmacotherapy and quantified as turbulence onset (TO,%), turbulence slope (TS, ms/RR interval), and turbulence timing (beginning of RR sequence for calculation of TS, TT). TO > or = 0%, TS < or = 2.5 ms/RR, and TT >10 were considered abnormal. End point was development of end-stage CHF requiring heart transplantation (OHT) or all-cause mortality.

RESULTS

During a follow-up of 5.8 +/- 1.3 years, 24 pts died and 10 required OHT. TO, TS, TT, and both (TO and TS) were abnormal in 35%, 50%, 30%, and 25% of all patients, respectively. Patients with at least one relatively preserved HRT parameter (TO, TS, or TT) (n = 98) had 5-year event-free rate of 83% compared to 33% of those in whom all three parameters were abnormal (n = 12). In multivariate Cox regression analysis, the most powerful predictor of end point events was heart rate variability (SDNN < 70 ms, hazard ratio (HR) 9.41, P < 0.001), followed by LVEF < or = 35% (HR 6.23), TT > or = 10 (HR 3.14), and TO > or = 0 (HR 2.54, P < 0.05).

CONCLUSION

In patients with CHF on optimal pharmacotherapy, HRT can help to predict those at risk for progression toward OHT or death of all causes.

Relationship between socio-economic features and health status in elderly hospitalized patients

We aimed at investigating the relationship between socioeconomic (SES) and health status in the context of an observational multicenter study of elderly hospitalized patients. Our series consisted of 473 patients aged 70 years or more. K-means cluster analysis was used to generate 3 clusters on the basis of age, gender, education, perception of personal economic situation, difficulty to reach health services, need for formal or informal support, family arrangement, and population density of residence municipality. Logistic regression analysis was used to identify correlates of "negative" SES. Correlates of "negative" SES cluster were older age (odds ratio=OR=5.19, 95% Cl=2.28-11.8), cognitive impairment (OR=6.36, 95%CI=3.11-13.0), emergency hospital admission (OR=3.11; 95%CI=1.52-6.35), and dependency in at least 1 BADL (OR=4.36, 95%CI=1.53-12.4). In conclusion, "negative" SES is associated with age and selected indices of frailty in elderly hospitalized patients. The evaluation of socio-economic problems should be routinely addressed in elderly hospitalized patients in order to tailor appropriately post-discharge use of health care resources.

Temporal and geographic heterogeneity of the association between socioeconomic position and hospitalisation in Italy: an income based indicator

BACKGROUND

The inverse association between socioeconomic position (SEP) and health has been extensively explored in Italy; however few studies have been carried out on the relationship between income inequalities and health status or health services utilisation, particularly at a local level.The objective of this study is to test the association between the demand for hospital care and a small area indicator based on income in four Italian cities, over a four-year period (1997-2000), in the adult population.

METHODS

Census Block (median 260 residents) Median per capita Income (CBMI) was computed through record linkage between 1998 national tax and local population registries in the cities of Rome, Turin, Milan and Bologna (total population approximately 5.5 million). CBMI was linked to acute hospital discharges among residents, based on patient's residence.Age-standardized gender-specific hospitalisation rates were computed by CBMI quintiles (first quintile indicating lowest income), overall, and by city and year. Heterogeneity of the association between income level and hospitalisation was analysed through a Poisson model.

RESULTS

We found an inverse association between small area income level and hospitalisation rates, which decreased continuously from 153 per 1000 inhabitants in the first quintile to 107 per 1000 inhabitants in the fifth quintile. Income differences in hospitalisation were confirmed in each city and year. However, the magnitude of the association and the absolute level of hospitalisation rates were quite different in each city and tended to slightly decrease over time in all cities considered, except Bologna.

CONCLUSION

Our study confirms an inverse association between income level and the use of hospitalization in four Italian cities, using a small area economic indicator, based on population tax data. Further analysis of the association between income and cause-specific hospitalization rates will allow to better understand the capability of the Italian National Health System to compel with socio-economic inequalities in health needs.Furthermore the SEP indicator we propose can represent a contribution to the improvement of tools for monitoring inequalities in health and in health services utilization.