Association Of Socioeconomic Disadvantage Research Articles

Association of socioeconomic disadvantage and ethnicity with perinatal neonatal, and infant mortality in Slovakia

BackgroundInfant mortality rates are reliable indices of the child and general population health status and health care delivery. The most critical factors affecting infant mortality are socioeconomic status and ethnicity. The aim of this study was to assess the association between socioeconomic disadvantage, ethnicity, and perinatal, neonatal, and infant mortality in Slovakia before and during the COVID-19 pandemic.MethodsThe associations between socioeconomic disadvantage (educational level, long-term unemployment rate), ethnicity (the proportion of the Roma population) and mortality (perinatal, neonatal, and infant) in the period 2017–2022 were explored, using linear regression models.ResultsThe higher proportion of people with only elementary education and long-term unemployed, as well as the higher proportion of the Roma population, increases mortality rates. The proportion of the Roma population had the most significant impact on mortality in the selected period between 2017 and 2022, especially during the COVID-19 pandemic (2020–2022).ConclusionsLife in segregated Roma settlements is connected with the accumulation of socioeconomic disadvantage. Persistent inequities between Roma and the majority population in Slovakia exposed by mortality rates in children point to the vulnerabilities and exposures which should be adequately addressed by health and social policies.

Association of socioeconomic disadvantage with lower patient satisfaction at an academic radiation oncology center.

347 Background: The correlation between socioeconomic status and healthcare outcomes is well-established. Patient satisfaction serves as a crucial indicator of healthcare quality, however, it is unclear if patient satisfaction relates to patient socioeconomic status. To assess socioeconomic status, the Area Deprivation Index (ADI) is utilized, encompassing factors such as income, education, employment, and housing quality to measure the status of a neighborhood. The purpose of this study was to evaluate if there was a correlation between socioeconomic status and the likelihood a patient would recommend the facility or provider. Methods: This is a single-institution study evaluating the responses to a CMS approved patient satisfaction vendor survey of patients seen at an outpatient academic radiation oncology department from May 2021 through March 2023. ADI was collected using the Neighborhood Atlas, including both national percentiles and state deciles, with the higher values indicating greater socioeconomic disadvantage. Univariate (UVA) and multivariate (MVA) logistic regression analyses were conducted using the survey recommendation scores between 0 and 10 as the primary outcome. We used the score ≥9 to represent increased likelihood for recommendation for facility or provider and <9 represented decreased likelihood. Results: There were 5,403 survey results included in our analysis. The mean state and national ADI in our cohort were 3.9 (range 1-10) and 50.35, respectively. Patients with state and national ADI scores below the mean were more likely to recommend the provider than those above the mean, 95.6% versus 93.6% (p=0.002) and 95.8% versus 93.6% (p<0.001), respectively. There was no difference in the likelihood of recommending the facility between the groups. On univariate analysis state ADI <3.9 (OR 1.46, p=0.016) and national ADI <50.35 (OR 1.43, p=0.023) were associated with increased likelihood to recommend the facility or provider. On multivariate analysis, state ADI <3.9 (OR 1.44, p=0.018) and national ADI <50.35 (OR 1.40, p=0.033) remained significant. Conclusions: The findings of this study highlight the significance of socioeconomic status as an independent factor influencing patient satisfaction and their likelihood to recommend a healthcare provider. Providers should consider the unique needs of socioeconomically disadvantaged individuals.

Association of Socioeconomic Disadvantage and Neighborhood Disparities with Clinical Outcomes in Progressive Multiple Sclerosis (S40.002)

Association of Socioeconomic Disadvantage and Neighborhood Disparities with Clinical Outcomes in Progressive Multiple Sclerosis (S40.002)

Association of socioeconomic disadvantage and neighborhood disparities with clinical outcomes in multiple sclerosis patients

BackgroundSocioeconomic disadvantage may be an important contributor to clinical outcomes in MS but is not well understood. Our objective was to examine the associations between Area Deprivation Index (ADI), a validated measure of neighborhood-level disadvantage, with clinical outcomes. MethodsWe assessed the longitudinal association between MS Performance Test (MSPT) and quality of life in Neurological Disorders (Neuro-QoL) measures with ADI quartiles (Q1: lowest deprivation – Q4 highest deprivation) in relapsing remitting MS (RRMS) and progressive MS cohorts. ResultsOur study included 2,921 patients (65.8% RRMS and 34.1% progressive MS) with 13,715 visits. Patients living in the most disadvantaged areas had almost universal worsening on baseline MSPT and Neuro-QoL scores (p < 0.05) when compared to patients living in areas of lowest deprivation. Manual Dexterity Test (MDT) illustrated particular disparity as RRMS patients living in the greatest area of deprivation had MDT score which averaged 2.9 seconds longer than someone living in areas of least deprivation. Longitudinal analysis illustrated less favorable MSPT and Neuro-QoL outcomes across visits between Q1 versus Q4 ADI quartiles within in the RRMS cohort but not within the progressive MS cohort. After adjustment, linearly increasing area deprivation scores reflected less favorable Processing Speed Test (PST) and six Neuro-QoL outcomes among the RRMS cohort. Within the progressive cohort, higher deprivation was associated less favorable MDT, PST and 11 of 12 Neuro-QoL outcome measures. ConclusionsThis study provides evidence for socioeconomic disadvantage as a risk factor for disability accrual in MS and may be targeted to improve care while informing resource allocation.

Association of Socioeconomic Disadvantage With Long-term Mortality After Myocardial Infarction

Socioeconomic disadvantage is associated with poor health outcomes. However, whether socioeconomic factors are associated with post-myocardial infarction (MI) outcomes in younger patient populations is unknown. To evaluate the association of neighborhood-level socioeconomic disadvantage with long-term outcomes among patients who experienced an MI at a young age. This cohort study analyzed patients in the Mass General Brigham YOUNG-MI Registry (at Brigham and Women's Hospital and Massachusetts General Hospital in Boston, Massachusetts) who experienced an MI at or before 50 years of age between January 1, 2000, and April 30, 2016. Each patient's home address was mapped to the Area Deprivation Index (ADI) to capture higher rates of socioeconomic disadvantage. The median follow-up duration was 11.3 years. The dates of analysis were May 1, 2020, to June 30, 2020. Patients were assigned an ADI ranking according to their home address and then stratified into 3 groups (least disadvantaged group, middle group, and most disadvantaged group). The outcomes of interest were all-cause and cardiovascular mortality. Cause of death was adjudicated from national registries and electronic medical records. Cox proportional hazards regression modeling was used to evaluate the association of ADI with all-cause and cardiovascular mortality. The cohort consisted of 2097 patients, of whom 2002 (95.5%) with an ADI ranking were included (median [interquartile range] age, 45 [42-48] years; 1607 male individuals [80.3%]). Patients in the most disadvantaged neighborhoods were more likely to be Black or Hispanic, have public insurance or no insurance, and have higher rates of traditional cardiovascular risk factors such as hypertension and diabetes. Among the 1964 patients who survived to hospital discharge, 74 (13.6%) in the most disadvantaged group compared with 88 (12.6%) in the middle group and 41 (5.7%) in the least disadvantaged group died. Even after adjusting for a comprehensive set of clinical covariates, higher neighborhood disadvantage was associated with a 32% higher all-cause mortality (hazard ratio, 1.32; 95% CI, 1.10-1.60; P = .004) and a 57% higher cardiovascular mortality (hazard ratio, 1.57; 95% CI, 1.17-2.10; P = .003). This study found that, among patients who experienced an MI at or before age 50 years, socioeconomic disadvantage was associated with higher all-cause and cardiovascular mortality even after adjusting for clinical comorbidities. These findings suggest that neighborhood and socioeconomic factors have an important role in long-term post-MI survival.

Parental Perspectives on Children\u2019s School Readiness: An Ethnographic Study

School readiness is a construct used by educators and policy makers to describe a range of abilities that are beneficial for children transitioning to school. The association of socioeconomic disadvantage with developmental vulnerability when children start school is well established. Parents play a crucial role in supporting children’s transition to school and are acknowledged as their child’s first and foremost teacher. The aim of this study was to explore how parents experience and support their children’s transition to school. This study presents findings from an ethnographic study with 39 parents living in two Australian communities characterised by high area-level socioeconomic disadvantage. The study reports on how parents experience and support their child for transition to school, specifically through their understanding of the concept of ‘readiness’. The role of early childhood services in supporting parents is also explored. Parents conceptualised school readiness as the child’s capacity to function effectively and independently in the hitherto unfamiliar physical and social world of school. Parents considered early childhood services supportive of their children's transition to school, particularly the development of social skills.

The association of socioeconomic disadvantage and remoteness with receipt of type 2 diabetes medications in Australia: a nationwide registry study.

In recent years, several new medications for the treatment of type 2 diabetes have been released and some evidence indicates sociodemographic disparity in their utilisation. We sought to investigate sociodemographic disparities in receipt of diabetes medications across Australia. This study included 1,203,317 people with type 2 diabetes registered on the Australian National Diabetes Services Scheme (NDSS) followed from 2007 to 2015. The NDSS was linked to the Australian pharmaceutical claims database. We investigated trends in diabetes medication dispensing and variation in dispensing by sociodemographic strata. Compared with individuals in the least disadvantaged areas, those in the most disadvantaged quintile were less likely to receive dipeptidyl peptidase-4 inhibitors (DPP4is), glucagon-like peptide-1 receptor agonists (GLP-1RAs) and sodium-glucose cotransporter 2 inhibitors (SGLT2is) in the first year of availability (OR [95% CI] for most vs least disadvantaged: 0.78 [0.75, 0.82], 0.65 [0.60, 0.71] and 0.89 [0.84, 0.95], respectively). These disparities dissipated over time for DPP4is and SGLT2is but remained significant for GLP-1RAs. The OR (95% CI) of receiving DPP4is, GLP-1RAs and SGLT2is in the first year of availability for people in remote areas vs major cities was 0.46 (0.39, 0.54), 0.46 (0.35, 0.61) and 0.71 (0.59, 0.84), respectively. These disparities remained significant through to 2015. People with diabetes in more disadvantaged areas are less likely to receive newer diabetes medications, although this effect decreased over time. However, there are considerable and persistent differences in receipt of newer diabetes medications between major cities and remote areas of Australia. Graphical abstract.

Spatial Modelling of the Relationship Between Socio-Economic Disadvantage and Child Health in Namibia

Socio-economic disadvantage (SED) is an established risk factor or effect modifier of child health status. Motivated by concerns of addressing health inequalities and social justice, this paper examined the place-specific association of SED with child health in Namibia. We explored this aspect by generating two local indicators of SED: material and earnings deprivation, and used a space-varying coefficients model, to estimate their effects on three child health outcomes (i.e., low birthweight, stunting and under-five mortality) in Namibia. Our findings, not only confirm that children from extremely disadvantaged households were more likely to be of low birthweight, stunted or die in the first 5 years of life, but also demonstrated the spatial varying association of SED with health. Results provide empirical evidence for designing interventions and policies that are targeted and focal.

The association of socioeconomic disadvantage with postoperative complications after major elective cardiovascular surgery

Background:Understanding the mechanism by which both patient- and hospital level factors act in generating disparities has important implications for clinicians and policy-makers.Objective:To measure the association between socioeconomic position (SEP) and...

Socioeconomic Disadvantage and Acute Coronary Events

The associations between socioeconomic disadvantage and ischemic heart disease are not well understood. We explore the relationship between socioeconomic factors and acute coronary events using spatiotemporal analysis. We studied all deaths from acute myocardial infarction and hospital admissions for acute coronary syndrome and related revascularization procedures for the state of New South Wales, Australia, from 1996 through 2002. We used conditional autoregressive models to describe how characteristics of subjects' place of residence (socioeconomic disadvantage, proportion of the population of indigenous background, and metropolitan versus nonmetropolitan area) influenced admissions and mortality. There were 32,534 deaths due to acute myocardial infarction and 129,045 admissions for acute coronary syndrome. We found a relationship between increasing socioeconomic disadvantage and mortality (unadjusted relative risk for highest quartile of disadvantage relative to lowest = 1.40; 95% confidence interval = 1.27-1.54) as well as admissions (1.41; 1.28-1.55). After accounting for admission rates, socioeconomic disadvantage was associated with lower rates of angiography (0.75; 0.63-0.88) and interventional angiography (0.70; 0.56-0.85). After adjusting for socioeconomic disadvantage, areas with higher proportions of the population identified as indigenous had higher rates of admission and mortality, while residency in the state capital was associated with higher admission rates and more interventional angiography. After accounting for admission rates, the association of socioeconomic disadvantage with mortality was reduced. Socioeconomic disadvantage increases both the risk of acute coronary syndrome and related mortality. A contributing factor appears to be a reduced chance of receiving appropriate care. Regions with a higher proportion of indigenous residents show risk beyond the effects of general socioeconomic disadvantage, while residents of metropolitan communities had increased utilization of more recent interventions.