Incidence of stroke and socioeconomic neighborhood characteristics: an ecological analysis of Dijon stroke registry

Neighborhood income inequality associated with functional independence after ischemic stroke: a cohort study

BACKGROUND

Individual measures of socioeconomic status have been associated with post-stroke disability in patients with ischemic stroke. However, it is not known whether the distribution of income in a community may have an impact on stroke recovery. We hypothesized that increased neighborhood income inequality (as measured by the Gini index) may be associated with a slower recovery after stroke.

METHODS

This was a retrospective cohort study of adult patients hospitalized at a comprehensive stroke center with acute ischemic stroke between 1/1/2018-12/31/2019. Individual patient data was abstracted from the EHR, and zip code Gini index was obtained from the US Census Bureau. Binary logistic regression was used to assess the relationship between Gini index and functional independence (modified Rankin scale ≤2) at discharge and first outpatient follow-up. These models controlled for patient demographics, stroke risk factors, stroke severity, and stroke treatment. A second binary regression was also performed using a subset of patients to assess possible predictors of being discharged as recommended (i.e. having a discharge destination that was consistent with the recommendation of the inpatient medical team).

RESULTS

Three hundred and thirty-seven patients were included in this analysis. The median time to first outpatient follow-up was 35 days. Zip code Gini index was not associated with functional independence at discharge but was associated with independence at follow-up (modified Rankin scale ≤2) such that patients from higher inequality neighborhoods had decreased odds of being independent. More specifically, each 1% increase in neighborhood Gini index was associated with 8% decreased odds of independence at follow-up (OR=0.923, 95% CI: 0.863-0.987). Being discharged as recommended was associated with increased odds of independence at follow-up (OR=3.359, 95% CI: 1.055-10.695). Greater income inequality (OR=0.909, 95% CI: 0.841-0.983) and Asian race (OR=0.093, 95% CI: 0.011-0.766) were associated with decreased odds of being discharged as recommended.

CONCLUSION

Among a cohort of patients with ischemic stroke, increased neighborhood income inequality was associated with decreased odds of achieving functional independence up (modified Rankin scale ≤2) by the time of first outpatient follow-up (at a median of 35 days following discharge). This disparity may be driven by discharge destination and race.

Epidemiology of stroke in France

BACKGROUND

It has been nearly 10years since the first national stroke plan in France.

AIMS

To examine the epidemiology of strokes, how they are managed and patient outcomes.

METHODS

Adults hospitalized for stroke in 2022 were identified in the national database. Stroke prevalence at 1 January 2023 was defined as the number of people alive at that date with a history of hospitalization for stroke or a chronic long-term disease status due to stroke (2012-2022). Patients were monitored up for up to 1year after hospitalization for a stroke.

RESULTS

In 2022, 122,422 adults were hospitalized due to stroke, and there were an estimated 1,086,795 cases. Important geographical and socioeconomic disparities were observed. Admission to a stroke intensive care unit was found in 46.8% of patients, with significant variations by department of residence, age and gender. Only 7.2% of ischaemic strokes resulted in mechanical thrombectomy. Among survivors at 6months, admission to a rehabilitation unit was found for 34.3% for patients with ischaemic strokes and 41.7% of those with haemorrhagic strokes, while 28.8% and 18.8%, respectively, had a consultation with a neurologist, and 19.5% and 10.9% were seen by a cardiologist within 6months. Mortality rates after 1year were 20.8% and 37.9% among patients hospitalized due to ischaemic and haemorrhagic strokes, respectively.

CONCLUSION

The considerable numbers and rates of stroke - and disparities by age, sex and area - highlight the need for more effective stroke prevention, regular information campaigns on the symptoms of stroke and improved availability and accessibility of stroke units.

Influence of deprivation on hospital care pathways and costs for people with ischaemic stroke: A trajectory modelling study

BACKGROUND

Socioeconomic characteristics have a strong impact on the incidence of stroke. The highest levels of morbidity and mortality are associated with the lowest socioeconomic positions. Moreover, the health insurance budget for stroke is significant.

OBJECTIVES

To describe typical Hospital Care Pathways (HCPs) and their costs 1 year after acute stroke and to assess the impact of individuals' socioeconomic characteristics on HCPs and costs.

METHODS

This retrospective observational study used hospital data on people with primary ischaemic stroke in a region of France (Haute-Garonne). HCPs were identified by sequential analysis. Multinomial logistic regression was used to analyse the impact of socioeconomic characteristics on HCPs as measured using an ecological index of deprivation, and a gamma regression model was used to analyse costs.

RESULTS

The analysis identified 4 typical HCPs. The first HCP consisted exclusively of consultations, the second was composed of consultations and hospitalisations, the third included hospitalisations during the first 2 months after stroke followed by consultations, and the fourth included long-term hospitalisations. After adjustment, deprivation was associated with HCPs and determined its costs: a high level of social disadvantage determined the type of pathway and increased the costs.

CONCLUSIONS

This study is one of the first to assess the impact of social inequalities in health on post-stroke HCPs in France and their corresponding costs. Our results confirm the hypothesis that healthcare costs differ according to the level of deprivation.

The impact of regional deprivation on stroke incidence, treatment, and mortality in Germany

BACKGROUND

Regional deprivation has been shown to be an influential factor in stroke incidence risk. However, there is a paucity of knowledge on regional differences in stroke incidence and mortality in Germany.

METHODS

We assessed data from the Diagnosis Related Groups statistics (2016-2019) and the German Federal Registry of Physicians (2019). Negative binomial regression analysis was used to examine the association between the German Index of Multiple Deprivation 2015 covering 401 districts and district-free cities in Germany and stroke incidence, treatment, and mortality.

RESULTS

The adjusted rate ratios of stroke incidence and mortality with the highest deprivation level compared with the least deprived area were 1.161 (95% CI [1.143, 1.179]) and 1.193 (95% CI [1.148, 1.239]), respectively. Moreover, this study revealed that physician density was higher in district-free cities compared to districts.

CONCLUSIONS

Our results indicate that regional deprivation is associated with incident and mortality cases of stroke, necessitating a more targeted approach to stroke prevention in deprived regions.

Socioeconomic status and modification of atherosclerotic cardiovascular disease risk prediction: epidemiological analysis using data from the atherosclerosis risk in communities study

OBJECTIVE

Examine whether the relationship between the pooled cohort equations (PCE) predicted 10-year risk for atherosclerotic cardiovascular disease (ASCVD) and absolute risk for ASCVD is modified by socioeconomic status (SES).

DESIGN

Population-based longitudinal cohort study-Atherosclerosis Risk in Communities (ARIC)-investigating the development of cardiovascular disease across demographic subgroups.

SETTING

Four communities in the USA-Forsyth County, North Carolina, Jackson, Mississippi, suburbs of Minneapolis, Minnesota and Washington County, Maryland.

PARTICIPANTS

We identified 9782 ARIC men and women aged 54-73 without ASCVD at study visit 4 (1996-1998).

PRIMARY OUTCOME MEASURES

Risk ratio (RR) differences in 10-year incident hospitalisations or death for ASCVD by SES and PCE predicted 10-year ASCVD risk categories to assess for risk modification. SES measures included educational attainment and census-tract neighbourhood deprivation using the Area Deprivation Index. PCE risk categories were 0%-5%, >5%-10%, >10%-15% and >15%. SES as a prognostic factor to estimate ASCVD absolute risk categories was further investigated as an interaction term with the PCE.

RESULTS

ASCVD RRs for participants without a high school education (referent college educated) increased at higher PCE estimated risk categories and was consistently >1. Results indicate education is both a risk modifier and delineates populations at higher ASCVD risk independent of PCE. Neighbourhood deprivation did modify association but was less consistent in direction of effect. However, for participants residing in the most deprived neighbourhoods (referent least deprived neighbourhoods) with a PCE estimated risk >10%-15%, risk was significantly elevated (RR 1.65, 95% CI 1.05 to 2.59). Education and neighbourhood deprivation inclusion as an interaction term on the PCE risk score was statistically significant (likelihood ratio p≤0.0001).

CONCLUSIONS

SES modifies the association between PCE estimated risk and absolute risk of ASCVD. SES added into ASCVD risk prediction models as an interaction term may improve our ability to predict absolute ASCVD risk among socially disadvantaged populations.

Moving Towards Equity With Digital Health Innovations for Stroke Care

Digital health has long been championed as a means to expanding access to health care. Now that the COVID-19 pandemic accelerated many health systems' integration of digital tools for care, digital health may provide a path towards more accessible stroke prevention and treatment, particularly for historically disadvantaged patient populations. Stroke management is composed of multiple time points where digital health innovations have the potential to augment health access and treatment: from primary prevention, to the time-sensitive detection of ischemic stroke, administration of thrombolytic agents and consideration for endovascular interventions, to appropriate post-acute care, rehabilitation, and lifelong secondary stroke prevention-stroke care relies on a multidisciplinary and standardized approach. However, as we discuss pointedly in this Focused Update, underrepresented individuals face multilevel digital health disparities that potentially diminish the benefits of these digital advances. As such, these multilevel needs must be discussed and accounted for as health systems seek to integrate innovative and equitable digital health solutions towards stroke care.

Social Determinants of Health Among Non-Elderly Adults With Stroke in the United States

OBJECTIVE

To examine the association of social determinants of health (SDOH) on prevalence of stroke in non-elderly adults (<65 years of age).

METHODS

We used the National Health Interview Survey (2013-2017) database. The study population was stratified into younger (<45 years of age) and middle age (45 to 64 years of age) adults. For each individual, an SDOH aggregate score was calculated representing the cumulative number of individual unfavorable SDOH (present vs absent), identified from 39 subcomponents across five domains (economic stability, neighborhood, community and social context, food, education, and health care system access) and divided into quartiles (quartile 1, most favorable; quartile 4, most unfavorable). Multivariable models tested the association between SDOH score quartiles and stroke.

RESULTS

The age-adjusted prevalence of stroke was 1.4% in the study population (n=123,631; 58.2% (n=71,956) in patients <45 years of age). Young adults reported approximately 20% of all strokes. Participants with stroke had unfavorable responses to 36 of 39 SDOH; nearly half (48%) of all strokes were reported by participants in the highest SDOH score quartile. A stepwise increase in age-adjusted stroke prevalence was observed across increasing quartiles of SDOH (first, 0.6%; second, 0.9%; third, 1.4%; and fourth, 2.9%). After accounting for demographics and cardiovascular disease risk factors, participants in the fourth vs first quartile had higher odds of stroke (odds ratio, 2.78; 95% CI, 2.25 to 3.45).

CONCLUSION

Nearly half of all non-elderly individuals with stroke have an unfavorable SDOH profile. Standardized assessment of SDOH risk burden may inform targeted strategies to mitigate disparities in stroke burden and outcomes in this population.

Regional Deprivation, Stroke Incidence, and Stroke Care

BACKGROUND

Regional deprivation can increase the risk of illness and adversely affect care outcomes. In this study, we investigated for the German state of Rhineland-Palatinate whether spatial-structural disadvantages are associated with an increased frequency of ischemic stroke and with less favorable care outcomes.

METHODS

We compared billing data from DRG statistics (2008-2017) and quality assurance data (2017) for acute ischemic stroke with the German Index of Multiple Deprivation 2010 (GIMD 2010) for the 36 districts (Landkreise) and independent cities (i.e., cities not belonging to a district) in Rhineland-Palatinate using correlation analyses, a Poisson regression analysis, and logistic regression analyses.

RESULTS

The age-standardized stroke rates (ASR) ranged from 122 to 209 per 100 000 inhabitants, while the GIMD 2010 ranged from 4.6 to 47.5; the two values were positively correlated (Spearman's ρ = 0.47; 95% confidence interval [0.16; 0.85]). In 2017, mechanical thrombectomies were performed more commonly (5.7%) in the first GIMD 2010 quartile of the regional areas (i.e., in the least deprived areas) than in the remaining quartiles (4.2-4.6%). The intravenous thrombolysis rates showed no differences from one GIMD 2010 quartile to another. Severe neurological deficits (National Institutes of Health Stroke Scale ≥ 5) on admission to the hospital were slightly more common in the fourth quartile (i.e., in the most deprived areas), while antiplatelet drugs and statins were somewhat less commonly ordered on discharge in those areas than in the first quartile.

CONCLUSION

These findings document a relationship between regional deprivation and the occurrence of acute ischemic stroke. Poorer GIMD 2010 scores were associated with worse care outcomes in a number of variables, but the absolute differences were small.

Matching participant address with public records database in a US national longitudinal cohort study

Background

Epidemiological studies utilize residential histories to assess environmental exposure risk. The validity from using commercially-sourced residential histories within national longitudinal studies remains unclear. Our study assessed predictors of non-agreement between baseline addresses from the commercially-sourced LexisNexis database and participants in the national longitudinal study, REasons for Geographic and Racial Differences in Stroke (REGARDS). Additionally, we assessed differences in stroke risk by neighborhood socioeconomic score (nSES) based on participant reported address compared to nSES from LexisNexis/REGARDS matched baseline address.

Methods

From January 2003–October 2007, REGARDS enrolled 30,239 black and white adults aged 45 and older within the continental United States and collected their baseline address. ArcGIS Desktop 10.5.1 with ESRI 2016 Business Analyst Data was used to geocode baseline addresses from LexisNexis and REGARDS. Logistic regression was used to estimate the likelihood that LexisNexis address matched REGARDS baseline address for each participant. Survival analysis was used to estimate association between nSES and incident stroke.

Results

Approximately 91% of REGARDS participants had a LexisNexis address. Of these geocoded addresses, 93% of REGARDS baseline addresses matched LexisNexis addresses. Odds of agreement between LexisNexis and REGARDS was higher for older-aged participants (OR = 1.02 per year, 95% CI: 1.01, 1.02), blacks compared to whites (OR = 1.16, 95% CI: 1.05, 1.29), females compared to males (OR = 1.15, 95% CI: 1.04, 1.26), participants with an income of $34k-74k compared to an income less than $20k (OR = 1.62, 95% CI: 1.39, 1.89). Odds of agreement were lower for residents in Midwest compared to residents in the south (OR = 0.82, 95% CI: 0.73, 0.94). No significant differences in nSES-stroke associations were observed between REGARDS only and LexisNexis/REGARDS matched addresses; however, differences in interactions were observed.

Conclusion

Agreement between LexisNexis and REGARDS addresses varied by sociodemographic groups, potentially introducing bias in studies reliant on LexisNexis alone for residential address data.

•

Approximately 9% of REGARDS participants did not have a LexisNexis address history available.

•

Of participants with both REGARDS and LexisNexis addresses available, 93% of these addresses matched.

•

Agreement between REGARDS and LexisNexis address varied by socio-demographics—potentially biasing environmental exposures.

•

Compared to LexisNexis, REGARDS addresses may be valuable in detecting interactions contributing to stroke disparities.

Neighborhood Socioeconomic Status and Stroke Incidence: A Systematic Review

OBJECTIVE

To summarize overall patterns of the impact of neighborhood socioeconomic status (nSES) on stroke incidence and uncover potential gaps in the literature, we conducted a systematic review of studies examining the association between nSES and stroke incidence, independent of individual SES.

METHODS

Four electronic databases and reference lists of included articles were searched, and corresponding authors were contacted to locate additional studies. A keyword search strategy included the 3 broad domains of neighborhood, SES, and stroke. Eight studies met our inclusion criteria (e.g., nSES as an exposure, individual SES as a covariate, and stroke incidence as an outcome). We coded study methodology and findings across the 8 studies.

RESULTS

The results provide evidence for the overall nSES and stroke incidence association in Sweden and Japan, but not within the United States. Findings were inconclusive when examining the nSES-stroke incidence association stratified by race. We found evidence for the mediating role of biological factors in the nSES-stroke incidence association.

CONCLUSIONS

Higher neighborhood disadvantage was found to be associated with higher stroke risk, but it was not significant in all the studies. The relationship between nSES and stroke risk within different racial groups in the United States was inconclusive. Inconsistencies may be driven by differences in covariate adjustment (e.g., individual-level sociodemographic characteristics and neighborhood-level racial composition). Additional research is needed to investigate potential intermediate and modifiable factors of the association between nSES and stroke incidence, which could serve as intervention points.

Gender difference of geographic distribution of the stroke incidence affected by socioeconomic, clinical and urban-rural factors: an ecological study based on data from the Brest stroke registry in France

Background

Mapping the spatial distribution of disease occurrence is a strategy to identify contextual factors that could be useful for public health policies. The purpose of this ecological study was to examine to which extent the socioeconomic deprivation and the urbanization level can explain gender difference of geographic distribution in stroke incidence in Pays de Brest, France between 2008 and 2013.

Methods

Stroke cases aged 60 years or more were extracted from the Brest stroke registry and combined at the census block level. Contextual socioeconomic, demographic, and geographic variables at the census block level come from the 2013 national census. We used spatial and non-spatial regression models to study the geographic correlation between socioeconomic deprivation, degree or urbanization and stroke incidence. We generated maps using spatial geographically weighted models, after longitude and latitude smoothing and adjustment for covariates.

Results

Stroke incidence was comparable in women and men (6.26 ± 3.5 vs 6.91 ± 3.3 per 1000 inhabitants-year, respectively). Results showed different patterns of the distribution of stroke risk and its association with deprivation or urbanisation across gender. For women, stroke incidence was spatially homogeneous over the entire study area, but was associated with deprivation level in urban census blocks: age adjusted risk ratio of high versus low deprivation = 1.24, [95%CI 1.04–1.46]. For men, three geographic clusters were identified. One located in the northern rural and deprived census blocks with a 9–14% increase in the risk of stroke. Two others clusters located in the south-eastern (mostly urban part) and south-western (suburban and rural part) with low deprivation level and associated with higher risk of stroke incidence between (3 and 8%) and (8.5 and 19%) respectively. There were no differences in profile of cardiovascular risk factors, stroke type and stroke severity between clusters, or when comparing clusters cases to the rest of the study population.

Conclusions

Understanding whether and how neighborhood and patient’s characteristics influence stroke risk may be useful for both epidemiological research and healthcare service planning.

Impact of Multiple Social Determinants of Health on Incident Stroke

BACKGROUND AND PURPOSE

Social determinants of health (SDOH) have been previously associated with incident stroke. Although SDOH often cluster within individuals, few studies have examined associations between incident stroke and multiple SDOH within the same individual. The objective was to determine the individual and cumulative effects of SDOH on incident stroke.

METHODS

This study included 27 813 participants from the REGARDS (Reasons for Geographic and Racial Differences in Stroke) Study, a national, representative, prospective cohort of black and white adults aged ≥45 years. SDOH was the primary exposure. The main outcome was expert adjudicated incident stroke. Cox proportional hazards models examined associations between incident stroke and SDOH, individually and as a count of SDOH, adjusting for potential confounders.

RESULTS

The mean age was 64.7 years (SD 9.4) at baseline; 55.4% were women and 40.4% were blacks. Over a median follow-up of 9.5 years (IQR, 6.0-11.5), we observed 1470 incident stroke events. Of 10 candidate SDOH, 7 were associated with stroke (P<0.10): race, education, income, zip code poverty, health insurance, social isolation, and residence in one of the 10 lowest ranked states for public health infrastructure. A significant age interaction resulted in stratification at 75 years. In fully adjusted models, among individuals <75 years, risk of stroke rose as the number of SDOH increased (hazard ratio for one SDOH, 1.26 [95% CI, 1.02-1.55]; 2 SDOH hazard ratio, 1.38 [95% CI, 1.12-1.71]; and ≥3 SDOH hazard ratio, 1.51 [95% CI, 1.21-1.89]) compared with those without any SDOH. Among those ≥75 years, none of the observed effects reached statistical significance.

CONCLUSIONS

Incremental increases in the number of SDOH were independently associated with higher incident stroke risk in adults aged <75 years, with no statistically significant effects observed in individuals ≥75 years. Targeting individuals with multiple SDOH may help reduce risk of stroke among vulnerable populations.

Spatial distribution and differences of stroke occurrence in the Rhone department of France (STROKE 69 cohort)

In France, 110,000 patients are admitted to hospital per year for stroke. Even though the relationship between stroke and risk factors such as low socio-economic status is well known, research in the spatial distribution (SD) of stroke as a contributing risk factor is less documented. Understanding the geographic differences of the disease may improve stroke prevention. In this study, a statistical spatial analysis was performed using a French cohort (STROKE 69) to describe spatial inequalities in the occurrence of stroke. STROKE 69 was a cohort study of 3,442 patients, conducted in the Rhône department of France, from November 2015 to December 2016. The cohort included all consecutive patients aged 18 years or older, with a likelihood of acute stroke within 24 hours of symptoms onset. Patients were geolocated, and incidence standardized rates ratio were estimated. SD models were identified using global spatial autocorrelation analysis and cluster detection methods. 2,179 patients were selected for analysis with spatial autocorrelation methods, including 1,467 patients with stroke, and 712 with a transient ischemic attack (TIA). Within both cluster detection methods, spatial inequalities were clearly visible, particularly in the northern region of the department and western part of the metropolitan area where rates were higher. Geographic methods for SD analysis were suitable tools to explain the spatial occurrence of stroke and identified potential spatial inequalities. This study was a first step towards understanding SD of stroke. Further research to explain SD using socio-economic data, care provision, risk factors and climate data is needed in the future.

Macroeconomic Development and Dramatic Increase in Stroke Burden in Rural China: A 25-Year Population-Based Study

Low socioeconomic status is associated with a high stroke risk. However, few studies have quantitatively assessed the relationship between stroke burden and national economic development indicators. We explored the quantitative association between macroeconomic development and stroke burden in rural China. In this population-based, prospective study (1992-2016), we collected data on annual registrations of stroke events and deaths in Tianjin, China. Economic development over the period was represented by gross domestic product annually adjusted for purchasing power parity (PPP-aGDP) and per capita net income (PCNI) of rural residents in China. We assessed the association of first-ever stroke incidence with PPP-aGDP and PCNI. During the 25-year study period, there were 1,185 stroke events and 362,296 person years of surveillance. First-ever stroke incidence increased by an average of 10.7% per 1,000 USD increase in overall PPP-aGDP and by 12.0% per 1,000 Yuan increase in PCNI; respectively, the mean increases were 9.6 and 10.8% in men and 13.0 and 14.4% in women (all, P < 0.001). These same changes in PPP-aGDP and PCNI also resulted in increases in the incidence of ischemic stroke (12.6 and 14.3%, respectively; P < 0.05), and intracerebral hemorrhage (both, 6.2%; P < 0.05). Similarly, in men, the age of onset of intracerebral hemorrhage decreased by 0.96-years (P = 0.002) for each 1,000 USD increase in PPP-aGDP and by 1.08-years (P = 0.003) for each 1,000 Yuan increase in PCNI. Macroeconomic development was positively associated with stroke incidence in rural China. Thus, enhancing health-care investments is crucial for containing the stroke burden during this remarkable economic development in China. Our findings could guide other developing countries with information regarding the timely control of stroke risk factors and reductions in stroke burden during the initial stages of economic development.

What causes the burden of stroke in Scotland? A comparative risk assessment approach linking the Scottish Health Survey to administrative health data

Background

The availability of robust evidence to inform effective public health decision making is becoming increasingly important, particularly in a time of competing health demands and limited resources. Comparative Risk Assessments (CRA) are useful in this regard as they quantify the contribution of modifiable exposures to the disease burden in a population. The aim of this study is to assess the contribution of a range of modifiable exposures to the burden of disease due to stroke, an important public health problem in Scotland.

Methods

We used individual-level response data from eight waves (1995–2012) of the Scottish Health Survey linked to acute hospital discharge records from the Scottish Morbidity Record 01 (SMR01) and cause of death records from the death register. Stroke was defined using the International Classification of Disease (ICD) 9 codes 430–431, 433–4 and 436; and the ICD10 codes I60-61 and I63-64 and stroke incidence was defined as a composite of an individual’s first hospitalisation or death from stroke. A literature review identified exposures causally linked to stroke. Exposures were mapped to the layers of the Dahlgren & Whitehead model of the determinants of health and Population Attributable Fractions were calculated for each exposure deemed a significant causal risk of stroke from a Cox Proportional Hazards Regression model. Population Attributable Fractions were not summed as they may add to more than 100% due to the possibility of a person being exposed to more than one exposure simultaneously.

Results

Overall, the results suggest that socioeconomic factors explain the largest proportion of incident stroke hospitalisations and deaths, after adjustment for confounding. After DAG adjustment, low education explained 38.8% (95% Confidence Interval 26.0% to 49.4%, area deprivation (as measured by the Scottish Index of Multiple Deprivation) 34.9% (95% CI 26.4 to 42.4%), occupational social class differences 30.3% (95% CI 19.4% to 39.8%), high systolic blood pressure 29.6% (95% CI 20.6% to 37.6%), smoking 25.6% (95% CI 17.9% to 32.6%) and area deprivation (as measured by the Carstairs area deprivation Index) 23.5% (95% CI 14.4% to 31.7%), of incident strokes in Scotland after adjustment.

Conclusion

This study provides evidence for prioritising interventions that tackle socioeconomic inequalities as a means of achieving the greatest reduction in avoidable strokes in Scotland. Future work to disentangle the proportion of the effect of deprivation transmitted through intermediate mediators on the pathway between socioeconomic inequalities and stroke may offer additional opportunities to reduce the incidence of stroke in Scotland.

A review of psychosocial factors and stroke: A new public health problem

The role of psychosocial factors (PSF) in increased risk of stroke is a novel public health challenge, but unclear definitions for PSF and the multiple stroke subtypes have led to inconsistent reports. A review of this issue is therefore warranted.

METHODS

Several databases were used for this narrative systematic review (Medline, Embase and Cochrane Library). Two independent reviewers evaluated articles from between 2001 and 2018 on the themes of PSF and stroke/transient ischemic attack (TIA). PSF criteria were job strain, psychological interpersonal and behavioral stress, and social deprivation. Ischemic and hemorrhagic stroke and TIA subtypes were also identified.

RESULTS

Forty-five cohorts, five case-control studies and two meta-analyses were included. Despite mixed results, PSF were associated with an increased risk of ischemic and hemorrhagic stroke in populations of all ages, and more predominantly in women.

CONCLUSION

This broad review shows that the presence of PSF is associated with an increased risk stroke and TIA. As such, PSF must figure in both public health policy and stroke prevention programs, similar to other established metabolic and environmental factors.

Long-Term Return to Work After Acquired Brain Injury in Young Danish Adults: A Nation-Wide Registry-Based Cohort Study

Objective: (1) To determine patterns of return to work (RTW) after traumatic brain injury and other causes of acquired brain injury (ABI) among young adults aged 19–30 years and (2) to compare the stability of long-term labor-market attachment (LMA) to the background population.

Method: Nationwide registry-based inception cohort study of 10 years weekly data of employment status. Patients (n = 8,496) aged 19–30 years with first-ever diagnosis of TBI, stroke, subarachnoid hemorrhage, encephalopathy, brain tumor, or CNS infections during 1999–2015. For comparison, a general population cohort (n = 206,025) individually matched on age, sex, and municipality was identified. The main outcome was RTW, which was defined as time to LMA, i.e., a week without public assistance benefits except education grants/leave. Stable labor-market attachment (sLMA) was defined as LMA for at least 75% over 52 weeks. The cumulative incidence proportions of RTW and stable RTW in the ABI cohort were estimated with the Aalen-Johansen estimator with death as a competing event.

Results: Twelve weeks after diagnosis 46.9% of ABI cohort had returned to stable RTW, which increased to 57.4% 1 year after, and 69.7% 10 years after. However, compared to controls fewer had sLMA 1 year (OR: 0.25 [95% CI 0.24–0.27]) and 10 years after diagnosis (OR: 0.35 [95% CI: 0.33–0.38]). Despite significant variations, sLMA was lower compared to the control cohort for all subtypes of ABI and no significant improvements were seen after 2–5 years.

Conclusion: Despite relatively fast RTW only a minor proportion of young patients with ABI achieves sLMA.

Geographic Variations of Stroke Hospitalization across France: A Diachronic Cluster Analysis

Background

This study evaluates the clustering of hospitalization rates for stroke and compares this clustering with two different time intervals 2009-2010 and 2012-2013, corresponding to the beginning of the French National Stroke Plan 2010–2014. In addition, these data will be compared with the deployment of stroke units as well as socioeconomic and healthcare characteristics at zip code level.

Methods

We used the PMSI data from 2009 to 2013, which lists all hospitalizations for stroke between 2009 and 2013, identified on the most detailed geographic scale allowed by this database. We identify statistically significant clusters with high or low rates in the zip code level using the Getis-Ord statistics. Each of the significant clusters is monitored over time and evaluated according to the nearest stroke unit distance and the socioeconomic profile.

Results

We identified clusters of low and high rate of stroke hospitalization (23.7% of all geographic codes). Most of these clusters are maintained over time (81%) but we also observed clusters in transition. Geographic codes with persistent high rates of stroke hospitalizations were mainly rural (78% versus 17%, P < .0001) and had a least favorable socioeconomic and healthcare profile.

Conclusion

Our study reveals that high-stroke hospitalization rates cluster remains the same during our study period. While access to the stroke unit has increased overall, it remains low for these clusters. The socioeconomic and healthcare profile of these clusters are poor but variations were observed. These results are valuable tools to implement more targeted strategies to improve stroke care accessibility and reduce geographic disparities.

Neighbourhood socioeconomic disadvantage, risk factors, and diabetes from childhood to middle age in the Young Finns Study: a cohort study

Background

Neighbourhood socioeconomic disadvantage has been linked to increased diabetes risk, but little is known about differences in risk factors in childhood and adulthood in those with high and low neighbourhood socioeconomic disadvantage, or about the association between long-term neighbourhood socioeconomic disadvantage and incidence of diabetes in adulthood. We used data from the prospective, population-based Young Finns Study to address these questions.

Methods

We did a nationwide population-based cohort study in Finland using data from The Young Finns Study, which included 3467 participants aged 6–18 years followed up for over 30 years via eight repeated biomedical examinations and linkage to electronic health records. Participants were also linked to national grid data on neighbourhood disadvantage via their residential address from age 6–48 years. We used these data to examine differences in ten risk factors (dietary habits, physical activity, daily smoking, body-mass index, systolic blood pressure, fasting HDL cholesterol, fasting triglycerides, fasting plasma glucose, fasting serum insulin, and homoeostasis model assessment insulin sensitivity) from childhood (6–21 years) to adulthood (22–48 years) among individuals with high (>0·5 SD above the national mean) and low (≥0·5 SD below the national mean) neighbourhood socioeconomic disadvantage, and the association of cumulative neighbourhood socioeconomic disadvantage with six cardiometabolic risk factors (obesity, high waist circumference, fatty liver, hypertension, carotid plaque, and left ventricle mass index) and diabetes by middle age (22–48 years). We used logistic and linear regression analyses to assess the effects of neighbourhood disadvantage on cardiometabolic and diabetes risk, controlling for potential confounders (age, sex, and individual socioeconomic disadvantage).

Findings

We included data for 3002 individuals with risk factor assessment in childhood and adulthood. Of whom, 2048 underwent a clinical examination during the last follow-up at age 33–48 years. Differences in risk factors by neighbourhood socioeconomic disadvantage at the beginning of follow-up were small, but large differences emerged over the follow-up. High neighbourhood socioeconomic disadvantage was characterised by decreased fruit and vegetable intake as early as age 6 years, decreased physical activity, and increased prevalence of daily smoking from adolescence (12 years) onwards, and decreased homoeostasis model assessment insulin sensitivity and increased fasting glucose and insulin concentration from early adulthood (27 years; all p<0·03). Individuals consistently exposed to high neighbourhood socioeconomic disadvantage were more likely to be obese (odds ratio [OR] 1·44, 95% CI 1·01–2·06), hypertensive (1·83, 1·14–2·93), have a fatty liver (1·73, 1·11–2·71), and diabetes (3·71, 1·77–7·75), compared with those who were consistently exposed to low neighbourhood socioeconomic disadvantage.

Interpretation

Living in socioeconomically disadvantaged areas can shape health in childhood and adulthood. Neighbourhood socioeconomic disadvantage is associated with differences in health risks across the life course, including detrimental lifestyle factors from childhood and adolescence onwards and worse glucose metabolism from early adulthood. By middle age, cumulative neighbourhood socioeconomic disadvantage is associated with increased cardiometabolic risk factors and increased incidence of diabetes.

Funding

Academy of Finland, NordForsk, UK Medical Research Council, European Commission, and European Research Council.

Hospital heterogeneity: what drives the quality of health care

A major feature of health care systems is substantial variation in health care quality across hospitals. The quality of stroke care widely varies across NHS hospitals. We investigate factors that may explain variations in health care quality using measures of quality of stroke care. We combine NHS trust data from the National Sentinel Stroke Audit with other data sets from the Office for National Statistics, NHS and census data to capture hospitals' human and physical assets and organisational characteristics. We employ a class of non-parametric methods to explore the complex structure of the data and a set of correlated random effects models to identify key determinants of the quality of stroke care. The organisational quality of the process of stroke care appears as a fundamental driver of clinical quality of stroke care. There are rich complementarities amongst drivers of quality of stroke care. The findings strengthen previous research on managerial and organisational determinants of health care quality.

Social deprivation and stroke severity on admission: a French cohort study in Burgundy and the West Indies - Guyana region

BACKGROUND AND PURPOSE

Although there is growing and convincing evidence that socially deprived patients are at higher risk of stroke and worse outcomes, it remains controversial whether or not they suffer more severe stroke. This study aimed to evaluate the influence of social deprivation on initial clinical severity in patients with stroke.

METHODS

A total of 1536 consecutive patients with an acute first-ever stroke (both ischaemic stroke and intracerebral hemorrhage) were prospectively enrolled from six French study centers. Stroke severity on admission was measured by the National Institutes of Health Stroke Scale score. Social deprivation was assessed at the individual level by the Evaluation de la Précarité et des Inégalités de santé dans les Centres d'Examen de Santé (EPICES) score, a validated multidimensional questionnaire, and several additional single socioeconomic indicators. Polytomous logistic regression analyses were performed to evaluate the association between social deprivation and stroke severity.

RESULTS

In univariate analysis, the EPICES score (P = 0.039) and level of education (P = 0.018) were the only two socioeconomic variables associated with stroke severity. Multivariate analysis of the association between EPICES and National Institutes of Health Stroke Scale scores showed that more deprived patients presented a significantly higher risk of both mild and moderate/severe stroke (odds ratio for mild versus minor stroke, 1.39; 95% confidence interval, 1.06-1.84; odds ratio for moderate/severe versus minor stroke, 1.44; 95% confidence interval, 1.09-1.92). A non-significant trend towards a higher risk of both mild and moderate/severe stroke in less educated patients was observed.

CONCLUSIONS

Social deprivation was associated with a more severe clinical presentation in patients with stroke. These findings may contribute to the worse outcome after stroke in deprived patients, and underline the need for strategies to reduce social inequalities for stroke.

Neighborhood socioeconomic index and stroke incidence in a national cohort of blacks and whites

OBJECTIVE

To assess the relationship between neighborhood socioeconomic characteristics and incident stroke in a national cohort of black and white participants.

METHODS

The study comprised black (n = 10,274, 41%) and white (n = 14,601) stroke-free participants, aged 45 and older, enrolled in 2003-2007 in Reasons for Geographic and Racial Differences in Stroke (REGARDS), a national population-based cohort. A neighborhood socioeconomic score (nSES) was constructed using 6 neighborhood variables. Incident stroke was defined as first occurrence of stroke over an average 7.5 (SD 3.0) years of follow-up. Proportional hazards models were used to estimate associations between nSES score and incident stroke, adjusted for demographics (age, race, sex, region), individual socioeconomic status (SES) (education, household income), and other risk factors for stroke.

RESULTS

After adjustment for demographics, compared to the highest nSES quartile, stroke incidence increased with each decreasing nSES quartile. The hazard ratio (95% confidence interval) ranged from 1.28 (1.05-1.56) in quartile 3 to 1.38 (1.13-1.68) in quartile 2 to 1.56 (1.26-1.92) in quartile 1 (p < 0.0001 for linear trend). After adjustment for individual SES, the trend remained marginally significant (p = 0.085). Although there was no evidence of a differential effect by race or sex, adjustment for stroke risk factors attenuated the association between nSES and stroke in both black and white participants, with greater attenuation in black participants.

CONCLUSIONS

Risk of incident stroke increased with decreasing nSES but the effect of nSES is attenuated through individual SES and stroke risk factors. The effect of neighborhood socioeconomic characteristics that contribute to increased stroke risk is similar in black and white participants.

The effects of socioeconomic status on stroke risk and outcomes

The latest evidence on socioeconomic status and stroke shows that stroke not only disproportionately affects low-income and middle-income countries, but also socioeconomically deprived populations within high-income countries. These disparities are reflected not only in risk of stroke but also in short-term and long-term outcomes after stroke. Increased average levels of conventional risk factors (eg, hypertension, hyperlipidaemia, excessive alcohol intake, smoking, obesity, and sedentary lifestyle) in populations with low socioeconomic status account for about half of these effects. In many countries, evidence shows that people with lower socioeconomic status are less likely to receive good-quality acute hospital and rehabilitation care than people with higher socioeconomic status. For clinical practice, better implementation of well established treatments, effective management of risk factors, and equity of access to high-quality acute stroke care and rehabilitation will probably reduce inequality substantially. Overcoming barriers and adapting evidence-based interventions to different countries and health-care settings remains a research priority.

The use of national administrative data to describe the spatial distribution of in-hospital mortality following stroke in France, 2008-2011

Background

In the context of implementing the National Stroke Plan in France, a spatial approach was used to measure inequalities in this disease. Using the national PMSI-MCO databases, we analyzed the in-hospital prevalence of stroke and established a map of in-hospital mortality rates with regard to the socio-demographic structure of the country.

Methods

The principal characteristics of patients identified according to ICD10 codes relative to stroke (in accordance with earlier validation work) were studied. A map of standardized mortality rates at the level of PMSI geographic codes was established. An exploratory analysis (principal component analysis followed by ascending hierarchical classification) using INSEE socio-economic data and mortality rates was also carried out to identify different area profiles.

Results

Between 2008 and 2011, the number of stroke patients increased by 3.85 %, notably for ischemic stroke in the 36–55 years age group (60 % of men). Over the same period, in-hospital mortality fell, and the map of standardized rates illustrated the diagonal of high mortality extending from the north-east to the south-west of the country. The most severely affected areas were also those with the least favorable socio-professional indicators.

Conclusions

The PMSI-MCO database is a major source of data on the health status of the population. It can be used for the area-by-area observation of the performance of certain healthcare indicators, such as in-hospital mortality, or to follow the implementation of the National Stroke Plan. Our study showed the interplay between social and demographic factors and stroke-related in-hospital mortality. The map derived from the results of the exploratory analysis illustrated a variety of areas where social difficulties, aging and high mortality seemed to meet. The study raises questions about access to neuro-vascular care in isolated areas and in those in demographic decline. Telemedicine appears to be the solution favored by decision makers. The aging of the population managed for stroke must not mask the growing incidence in younger people, which raises questions about the development of classical (smoking, hypertension) or new (drug abuse) risk factors.

Trends in Incidence of Stroke and Transition of Stroke Subtypes in Rural Tianjin China: A Population-Based Study from 1992 to 2012

Objectives

The incidence of ischemic stroke has increased and that of hemorrhagic stroke has decreased in urban China; however, the trends in rural areas are unknown. We aimed to explore the secular trends in incidence and transition of stroke subtypes among rural Chinese.

Methods

This was a population-based stroke surveillance through the Tianjin Brain Study. A total of 14,538 residents in a township of Ji County in Tianjin, China participated in the study since 1985. We investigated the age-standardized stroke incidence (sex-specific, type-specific, and age-specific), the annual proportion of change in the incidence of stroke, and the proportion of intracerebral hemorrhage in the periods 1992–1998, 1999–2005, and 2006–2012, because the neuroimaging technique was available since 1992 in this area.

Results

The age-standardized incidence per 100,000 person-years increased significantly for both intracerebral hemorrhage (37.8 in 1992–1998, 46.5 in 1999–2005, and 76.5 in 2006–2012) and ischemic stroke (83.9 in 1992–1998, 135.3 in 1999–2005, and 238.0 in 2006–2012). The age-standardized incidence of first-ever stroke increased annually by 4.9% for intracerebral hemorrhage and by 7.3% for ischemic stroke. The greatest increase was observed in men aged 45–64 years for both stroke types (P < 0.001). The proportion of intracerebral hemorrhage was stable overall, increased among men aged 45–64 years, and decreased among men aged ≥65 years. The average age of intracerebral hemorrhage in men reduced by 7.5 years from 1992 to 2012.

Conclusion

The age-standardized incidence of main stroke subtypes increased significantly in rural China over the past 21 years; the overall proportion of intracerebral hemorrhage was stable, but the incidence increased significantly among middle-aged men. These findings imply that it is crucial to control stroke risk factors in middle-aged men for stroke prevention in future decades.

Childhood Psychosocial Adversity and Adult Neighborhood Disadvantage as Predictors of Cardiovascular Disease: A Cohort Study

BACKGROUND

Childhood adverse psychosocial factors (eg, parental divorce, long-term financial difficulties) and adult neighborhood disadvantage have both been linked to increased cardiovascular disease (CVD). However, their combined effects on disease risk are not known.

METHODS AND RESULTS

Participants were 37 699 adults from the Finnish Public Sector study whose data were linked to a national neighborhood disadvantage grid with the use of residential addresses between the years 2000 and 2008 and who responded to a survey on childhood psychosocial adversities and adult CVD risk behaviors in 2008 to 2009. Survey data were also linked to national registers on hospitalization, mortality, and prescriptions to assess CVD risk factors in 2008 to 2009 and to ascertain incident CVD (coronary heart disease or cerebrovascular disease) between the survey and the end of December 2011 (mean follow-up, 2.94 years; SD=0.44 years). Combined exposure to high childhood adversity and high adult disadvantage was associated with CVD risk factors (hypertension, dyslipidemia, diabetes mellitus, obesity, smoking, heavy alcohol use, and physical inactivity) and with a 2.25-fold (95% confidence interval, 1.39-3.63) hazard of incident CVD compared with a low childhood adversity and low adult disadvantage. This hazard ratio was attenuated by 16.6% but remained statistically significant after adjustment for the CVD risk factors (1.96; 95% confidence interval, 1.22-3.16). Exposure to high childhood adversity or high adult neighborhood disadvantage alone was not significantly associated with CVD in fully adjusted models.

CONCLUSIONS

These findings suggest that individuals with both childhood psychosocial adversity and adult neighborhood disadvantage are at an increased risk of CVD. In contrast, those with only 1 of these exposures have little or no excess risk after controlling for conventional risk factors.

Impact of neighborhood socioeconomic conditions on the risk of stroke in Japan

Background

Neighborhood deprivation has been shown in many studies to be an influential factor in cardiovascular disease risk. However, no previous studies have examined the effect of neighborhood socioeconomic conditions on the risk of stroke in Asian countries.

Methods

This study investigated whether neighborhood deprivation was associated with the risk of stroke and stroke death using data from the Japan Public Health Center-based Prospective Study. We calculated the adjusted hazard ratios of stroke mortality (mean follow-up, 16.4 years) and stroke incidence (mean follow-up, 15.4 years) according to the area deprivation index (ADI) among 90 843 Japanese men and women aged 40–69 years. A Cox proportional-hazard regression model using a shared frailty model was applied.

Results

The adjusted hazard ratios of stroke incidence, in order of increasing deprivation with reference to the least deprived area, were 1.16 (95% CI, 1.04–1.29), 1.12 (95% CI, 1.00–1.26), 1.18 (95% CI, 1.02–1.35), and 1.19 (95% CI, 1.01–1.41), after adjustment for individual socioeconomic conditions. Behavioral and psychosocial factors attenuated the association, but the association remained significant. The associations were explained by adjusting for biological cardiovascular risk factors. No significant association with stroke mortality was identified.

Conclusions

Our results indicate that the neighborhood deprivation level influences stroke incidence in Japan, suggesting that area socioeconomic conditions could be a potential target for public health intervention to reduce the risk of stroke.

Depression, stroke and gender: evidence of a stronger association in men

BACKGROUND/AIMS

Depression is associated with an increased risk for stroke. The aim of this study was to examine whether demographic and socioeconomic factors modify this association.

METHODS

This follow-up study comprised 137 305 men and 188 924 women aged ≥30 years from a nationwide sample of primary healthcare centres in Sweden. We identified 4718 first-ever stroke cases (2217 men and 2501 women) during the follow-up period (2005-2007). Multilevel logistic regression models were used to calculate ORs and examine interactions in order to determine whether the association between depression and stroke differs by demographic or socioeconomic factors.

RESULTS

Depression was associated with significantly greater odds of stroke after adjustment for potential confounding factors (OR=1.22, 95% CI 1.08 to 1.38). Interaction tests showed that the effect of depression on stroke was higher in men compared with women (the difference in OR between men and women was 1.30, 95% CI 1.01 to 1.68), that is, the association between depression and stroke was modified by gender.

CONCLUSIONS

Our findings suggest that the depression-stroke association is modified by gender. Further studies are required to examine the underlying mechanisms in men and women.

Mortality following stroke during and after acute care according to neighbourhood deprivation: a disease registry study

BACKGROUND

Neighbourhood deprivation has been shown to be inversely associated with mortality 1 month after stroke. Whether this disadvantage begins while patients are still receiving acute care is unclear. We aimed to study mortality after stroke specifically in the period while patients are under acute care and the ensuing period when they are discharged to home or other care settings.

METHODS

Our sample includes 1760 incident strokes (mean age 75, 48% men, 86% ischaemic) identified between 1998 and 2010 by the population-based stroke registry of Dijon (France). We used Cox regression to study all-cause mortality up to 90 days after stroke occurrence.

RESULTS

Overall, 284 (16.1%) patients died during the 90 days following stroke. Prior to stroke, risk factors prevalence (eg, high blood pressure and diabetes) and acute care management did not vary across deprivation levels. There was no association between deprivation and mortality while patients were in acute care (HR comparing the highest to the lowest tertiles of deprivation: 1.01, 95% CI 0.71 to 1.43). After discharge, however, age and gender adjusted mortality gradually increased with deprivation (HR 2.08, 95% CI 1.07 to 4.02). This association was not modified when stroke type and severity were accounted for.

CONCLUSIONS

The gradient of higher poststroke mortality with increasing neighbourhood deprivation was noticeable only after acute hospital discharge. Quality of postacute care and social support are potential determinants of these variations.

Impact of psychosocial factors on cardiovascular morbimortality: a prospective cohort study

BACKGROUND

Whilst it is well known that psychosocial determinants may contribute to cardiovascular diseases (CVD), data from specific groups are scarce. The present study aims to determine the contribution of psychosocial determinants in increasing the risk of cardiovascular events (myocardial infarction and stroke), and death from CVD, in a high risk adult population.

METHODS

Longitudinal prospective study of 7263 patients (57.5% women), mean age 67.0 (SD 6.2) free from CVD but at high risk, with a median follow-up of 4.8 years (from October 2003 to December 2010). The Hazard Ratios (HRs) of cardiovascular events (myocardial infarction, stroke, and death from cardiovascular causes) related to educational attainment, diagnosed depression (based on medical records), and low social support (number of people living in the household) were estimated by multivariate Cox regression models.

RESULTS

Stroke incidence was associated with low educational level in the whole population (HR: 1.83, 95% CI: 1.09-3.09), and especially in men (HR: 2.11, 95% CI 1.09-4.06). Myocardial infarction and CVD mortality were not associated with any of the psychosocial factors considered.

CONCLUSION

Adults with low educational level had a higher risk of stroke. Depression and low social support were not associated with CVD incidence.

TRIAL REGISTRATION

Clinical trial registration information unique identifier: ISRCTN35739639.

Gender differences in the association between socioeconomic status and subclinical atherosclerosis

OBJECTIVES

This study explored the pattern of associations between socioeconomic status (SES) and atherosclerosis progression (as indicated by carotid intima media thickness, CIMT) across gender.

DESIGN

Cross-sectional analysis of a sample of 5474 older persons (mean age 73 years) recruited between 1999 and 2001 in the 3C study (France). We fitted linear regression models including neighborhood SES, individual SES and cardiovascular risk factors.

RESULTS

CIMT was on average 24 µm higher in men (95% CI: 17 to 31). Neighborhood SES was inversely associated with CIMT in women only (highest versus lowest tertiles: -12.2 µm, 95%CI -22 to -2.4). This association persisted when individual SES and risk factors were accounted for. High individual education was associated with lower CIMT in men (-21.4 µm 95%CI -37.5 to -5.3) whereas high professional status was linked to lower CIMT among women (-15.7 µm 95%CI: -29.2 to -2.2). Adjustment for cardiovascular risk factors resulted in a slightly more pronounced reduction of the individual SES-CIMT association observed in men than in women.

CONCLUSION

In this sample, neighborhood and individual SES displayed different patterns of associations with subclinical atherosclerosis across gender. This suggests that the causal pathways leading to SES variations in atherosclerosis may differ among men and women.

Socioeconomic Status and Care After Stroke

Background and Purpose—

Socioeconomic status is inversely associated with mortality after stroke; however, the reasons behind this finding are not well-understood. We undertook a study to determine whether posthospitalization care and medication adherence vary with neighborhood income.

Methods—

We conducted a cohort study of 11 050 patients with ischemic stroke or transient ischemic attack admitted to any of 11 specialized stroke centers in Ontario, Canada, between July 1, 2003 and March 31, 2008. Socioeconomic status measured as neighborhood income quintiles was imputed from the 2006 Canadian Census. We used linkages to administrative databases to evaluate processes of stroke care and medication adherence within 1 year of discharge. We used multivariable analyses to assess whether differences in stroke care and medication adherence existed across income groups after adjustment for age, sex, stroke severity, and comorbid conditions.

Results—

Higher income was associated with higher rates of stroke unit admission, neurology consultations, referrals to secondary prevention clinics, and physician visits after hospital discharge; however, the absolute differences in rates were small. There was no difference across income quintiles in the use of postdischarge homecare services or in adherence to antihypertensive, antithrombotic, or lipid-lowering medications.

Conclusions—

Higher income is associated with improvements in some aspects of stroke care delivery. However, the magnitude of the care gap across income quintiles is small and is unlikely to account for the previously observed association between socioeconomic status and survival after stroke.

Tracking stroke hospitalization clusters over time and associations with county-level socioeconomic and healthcare characteristics

BACKGROUND AND PURPOSE

This study evaluated clustering of stroke hospitalization rates, patterns of the clustering over time, and associations with community-level characteristics.

METHODS

We used Medicare hospital claims data from 1995-1996 to 2005-2006 with a principal discharge diagnosis of stroke to calculate county-level stroke hospitalization rates. We identified statistically significant clusters of high- and low-rate counties by using local indicators of spatial association, tracked cluster status over time, and assessed associations between cluster status and county-level socioeconomic and healthcare profiles.

RESULTS

Clearly defined clusters of counties with high- and low-stroke hospitalization rates were identified in each time. Approximately 75% of counties maintained their cluster status from 1995-1996 to 2005-2006. In addition, 243 counties transitioned into high-rate clusters, and 148 transitioned out of high-rate clusters. Persistently high-rate clusters were located primarily in the Southeast, whereas persistently low-rate clusters occurred mostly in New England and in the West. In general, persistently low-rate counties had the most favorable socioeconomic and healthcare profiles, followed by counties that transitioned out of or into high-rate clusters. Persistently high-rate counties experienced the least favorable socioeconomic and healthcare profiles.

CONCLUSIONS

The persistence of clusters of high- and low-stroke hospitalization rates during a 10-year period suggests that the underlying causes of stroke in these areas have also persisted. The associations found between cluster status (persistently high, transitional, persistently low) and socioeconomic and healthcare profiles shed new light on the contributions of community-level characteristics to geographic disparities in stroke hospitalizations.

Neighborhood income and stroke care and outcomes

OBJECTIVE

To evaluate factors that may contribute to the increased stroke case fatality rates observed in individuals from low-income areas.

METHODS

We conducted a cohort study on a population-based sample of all patients with stroke or TIA seen at 153 acute care hospitals in the province of Ontario, Canada, between April 1, 2002, and March 31, 2003, and April 1, 2004, and March 31, 2005. Socioeconomic status measured as income quintiles was imputed from median neighborhood income. In the study sample of 7,816 patients we determined 1-year mortality by grouped income quintile and used multivariable analyses to assess whether differences in survival were explained by cardiovascular risk factors, stroke severity, stroke management, or other prognostic factors.

RESULTS

There was no significant gradient across income groups for stroke severity or stroke management. However, 1-year mortality rates were higher in those from the lowest income group compared to those from the highest income group, even after adjustment for age, sex, stroke type and severity, comorbid conditions, hospital and physician characteristics, and processes of care (adjusted hazard ratio for low- vs high-income groups, 1.18; 95 confidence interval 1.03 to 1.29).

CONCLUSIONS

In Ontario, 1-year survival rates after an index stroke are higher for those from the richest compared to the least wealthy areas, and this is only partly explained by age, sex, comorbid conditions, and other baseline risk factors.

Socioeconomic status and stroke: an updated review

BACKGROUND AND PURPOSE

Rates of stroke incidence and mortality vary across populations with important differences between socioeconomic groups worldwide. Knowledge of existing disparities in stroke risk is important for effective stroke prevention and management strategies. This review updates the evidence for associations between socioeconomic status and stroke. Summary of Review- Studies were identified with electronic searches of MEDLINE and EMBASE databases (January 2006 to July 2011) and reference lists from identified studies were searched manually. Articles reporting the association between any measure of socioeconomic status and stroke were included.

CONCLUSIONS

The impact of stroke as measured by disability-adjusted life-years lost and mortality rates is >3-fold higher in low-income compared with high- and middle-income countries. The number of stroke deaths is projected to increase by >30% in the next 20 years with the majority occurring in low-income countries. Higher incidence of stroke, stroke risk factors, and rates of stroke mortality are generally observed in low compared with high socioeconomic groups within and between populations worldwide. There is less available evidence of an association between socioeconomic status and stroke recurrence or temporal trends in inequalities. Those with a lower socioeconomic status have more severe deficits and are less likely to receive evidence-based stroke services, although the results are inconsistent. Poorer people within a population and poorer countries globally are most affected in terms of incidence and poor outcomes of stroke. Innovative prevention strategies targeting people in low socioeconomic groups are required along with effective measures to promote access to effective stroke interventions worldwide.

Neighborhood disadvantage and ischemic stroke: the Cardiovascular Health Study (CHS)

BACKGROUND AND PURPOSE

Neighborhood characteristics may influence the risk of stroke and contribute to socioeconomic disparities in stroke incidence. The objectives of this study were to examine the relationship between neighborhood socioeconomic status and incident ischemic stroke and examine potential mediators of these associations.

METHODS

We analyzed data from 3834 whites and 785 blacks enrolled in the Cardiovascular Health Study, a multicenter, population-based, longitudinal study of adults ages≥65 years from 4 US counties. The primary outcome was adjudicated incident ischemic stroke. Neighborhood socioeconomic status was measured using a composite of 6 census tract variables. Race-stratified multilevel Cox proportional hazard models were constructed adjusted for sociodemographic, behavioral, and biological risk factors.

RESULTS

Among whites, in models adjusted for sociodemographic characteristics, stroke hazard was significantly higher among residents of neighborhoods in the lowest compared with the highest neighborhood socioeconomic status quartile (hazard ratio, 1.32; 95% CI, 1.01-1.72) with greater attenuation of the hazard ratio after adjustment for biological risk factors (hazard ratio, 1.16; 0.88-1.52) than for behavioral risk factors (hazard ratio, 1.30; 0.99-1.70). Among blacks, we found no significant associations between neighborhood socioeconomic status and ischemic stroke.

CONCLUSIONS

Higher risk of incident ischemic stroke was observed in the most disadvantaged neighborhoods among whites, but not among blacks. The relationship between neighborhood socioeconomic status and stroke among whites appears to be mediated more strongly by biological than behavioral risk factors.