Neurology · 2023 · 25 citations · 37 references
Public HealthCommunity HealthCausal InferenceHealth EquitySocial Determinants Of HealthAcute Ischemic StrokeAcute Stroke CareCerebrovascular DiseaseHealth DisparitiesSocioeconomic Determinants Of HealthStrokeFamily Socioeconomic StatusHousehold Socioeconomic StatusSocioeconomic Inequalities In MorbiditySocioeconomic Status DiscriminationStroke DisparitiesStroke Risk StratificationStroke Severity Assessment
BACKGROUND AND OBJECTIVES: Low socioeconomic status (SES) is associated with increased risk of death and disability after stroke, but interventional targets to minimize disparities remain unclear. We aim to assess the extent to which SES-based disparities in the association between low SES and death and dependency at 3 months after stroke could be eliminated by offsetting differences in comorbidity, stroke severity, and acute care. METHODS: This nationwide register-based cohort study included all 72 hospitals caring for patients with acute stroke in Sweden. All patients registered with an acute ischemic stroke in the Swedish Stroke Register in 2015-2016 who were independent in activities of daily living (ADL) during stroke were included. Data on survival and SES the year before stroke were retrieved by cross-linkage with other national registers. SES was defined by education and income and categorized into low, mid, and high. Causal mediation analysis was used to study the absolute risk of death and ADL dependency at 3 months depending on SES and to what extent hypothetical interventions on comorbidities, stroke severity, and acute care would equalize outcomes. RESULTS: < 0.001), respectively, with the largest reduction accomplished by equalizing stroke severity. DISCUSSION: Low SES patients have substantially increased risks of death and ADL dependency 3 months after stroke compared with more privileged patient groups. This study suggests that if we could intervene to equalize SES-related differences in the distributions of comorbidity, acute care, and stroke severity, up to 40 of every 1,000 patients with low SES could be prevented from dying or becoming ADL dependent.
37
R: A Language and Environment for Statistical Computing
R Core Team · 2000 · 353K citations · Full text
Natural Sciences, Computer Science, Statistical Computing +10
Erik von Elm, Douglas G. Altman, Matthias Egger et al. · The Lancet · 2007 · 18.7K citations · Full text
Public Health, Public Health Practice, Epidemiologic Methods +10