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      Association of the Robert Wood Johnson Foundations’ social determinants of health and Medicare hospitalisations for ischaemic strokes: a cross-sectional data analysis

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      1 , 2 , 3 ,
      Open Heart
      BMJ Publishing Group
      stroke, public health, epidemiology

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          Abstract

          Objective

          Social determinants of health (SDH) have previously demonstrated to be important risk factors in determining health outcomes. To document whether the SDH are associated with hospitalisations for ischaemic stroke.

          Methods

          This cross-sectional study examines data from fiscal year 2015. Patients from the national Medicare 100% Inpatient Limited Dataset were linked with SDH measures from the Robert Wood Johnson Foundation (RWJF) County Health Rankings. Medicare patients were included in the study group if they had either an admitting or primary diagnosis of ischaemic stroke. Counties without RWJF data were excluded from the study. Ischaemic strokes were compared with all other hospitalisations associated with characteristics of the SDH measures and benchmarked to above or below their respective national median. Estimates were performed with nested logistic regression.

          Results

          Approximately 256 766 Medicare patients had ischaemic stroke hospitalisations compared with all other Medicare patients (n=6 386 180) without ischaemic stroke hospitalisations while 30 853 patients were excluded due to residence in US territories. Significant factors included air pollution exceeding the national median (OR 1.06; 95% CI 1.05 to 1.07), per cent of children in single parent households exceeding the national median, (OR 1.02; 95% CI 1.01 to 1.03), violent crime rates exceeding the national median, (OR 1.02; 95% CI 1.01 to 1.03) and per cent smoking exceeding the national median, (OR 1.02; 95% CI 1.01 to 1.03).

          Conclusions

          When cross-sectional SDH are benchmarked to national median for ischaemic stroke hospitalisations and compared with all-cause hospitalisations, the effects remain significant. Further research on the longitudinal effects of the SDH and cardiovascular health, particularly disease-specific outcomes, is needed.

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          Most cited references22

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          Diabetes and cardiovascular disease. The Framingham study.

          Based on 20 years of surveillance of the Framingham cohort relating subsequent cardiovascular events to prior evidence of diabetes, a twofold to threefold increased risk of clinical atherosclerotic disease was reported. The relative impact was greatest for intermittent claudication (IC) and congestive heart failure (CHF) and least for coronary heart disease (CHD), which was, nevertheless, on an absolute scale the chief sequela. The relative impact was substantially greater for women than for men. For each of the cardiovascular diseases (CVD), morbidity and mortality were higher for diabetic women than for nondiabetic men. After adjustment for other associated risk factors, the relative impact of diabetes on CHD, IC, or stroke incidence was the same for women as for men; for CVD death and CHF, it was greater for women. Cardiovascular mortality was actually about as great for diabetic women as for diabetic men.
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            Neighborhood socioeconomic disadvantage and 30-day rehospitalization: a retrospective cohort study.

            Measures of socioeconomic disadvantage may enable improved targeting of programs to prevent rehospitalizations, but obtaining such information directly from patients can be difficult. Measures of U.S. neighborhood socioeconomic disadvantage are more readily available but are rarely used clinically.
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              Socioeconomic status and cardiovascular disease: risks and implications for care.

              Socioeconomic status (SES) refers to an individual's social position relative to other members of a society. Low SES is associated with large increases in cardiovascular disease (CVD) risk in men and women. The inverse association between SES and CVD risk in high-income countries is the result of the high prevalence and compounding effects of multiple behavioral and psychosocial risk factors in people of low SES. However, strong and consistent evidence shows that parental SES, childhood and early-life factors, and inequalities in health services also contribute to elevated CVD risk in people of low SES who live in high-income countries. In addition, place of residence can affect CVD risk, although the data on the influence of wealth distribution and work-related factors are inconsistent. Studies on the effects of SES on CVD risk in low-income and middle-income countries is scarce, but evidence is emerging that the increasing wealth of these countries is beginning to lead to replication of the patterns seen in high-income countries. Clinicians should address the association between SES and CVD by incorporating SES into CVD risk calculations and screening tools, reducing behavioral and psychosocial risk factors via effective and equitable primary and secondary prevention, undertaking health equity audits to assess inequalities in care provision and outcomes, and by use of multidisciplinary teams to address risk factors over the life course.
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                Author and article information

                Journal
                Open Heart
                Open Heart
                openhrt
                openheart
                Open Heart
                BMJ Publishing Group (BMA House, Tavistock Square, London, WC1H 9JR )
                2053-3624
                2020
                8 January 2020
                : 7
                : 1
                : e001189
                Affiliations
                [1 ] departmentCenter for Healthcare Studies, Center for Health Information Partnerships , Northwestern University Feinberg School of Medicine , Chicago, Illinois, USA
                [2 ] departmentMedicine, Center for Health Information Partnerships , Northwestern University Feinberg School of Medicine , Chicago, Illinois, USA
                [3 ] departmentOphthalmology , Northwestern University Feinberg School of Medicine , Chicago, Illinois, USA
                Author notes
                [Correspondence to ] Dr Dustin D French; Dustin.French@ 123456northwestern.edu
                Author information
                http://orcid.org/0000-0003-4064-3206
                Article
                openhrt-2019-001189
                10.1136/openhrt-2019-001189
                6999678
                5cfd9192-9122-489c-85c9-8926dba2baa6
                © Author(s) (or their employer(s)) 2020. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.

                This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/.

                History
                : 14 October 2019
                : 12 November 2019
                : 17 December 2019
                Categories
                Cardiac Risk Factors and Prevention
                1506
                Original research
                Custom metadata
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                stroke,public health,epidemiology
                stroke, public health, epidemiology

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