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      Association of the Robert Wood Johnson Foundations’ Social Determinants of Health and Medicare Ocular Hospitalizations: A Cross Sectional Data Analysis

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          Abstract

          Introduction

          Social determinants of health (SDH) may influence inpatient utilization rates and outcomes but have yet to be associated with ocular diagnoses. The purpose of this paper was to determine whether the SDH are associated with ocular hospitalizations.

          Methods

          Patients from the national Medicare 100% Inpatient Limited Dataset were examined and linked to SDH measures from the Robert Wood Johnson Foundation (RWJF) County Health Rankings. Patients were included in the study group with either an admitting or primary diagnosis of an ophthalmic condition. All other hospitalized Medicare patients served in the comparison group. Nested logistic regression of these Medicare patients was conducted in their respective communities at the county level. SDH measures were benchmarked above or below the national median.

          Results

          Positively associated SDH factors included communities with air pollution exceeding 11.62 micro grams per cubic meter (OR 1.05; 95% CI 1.01–1.08), communities where severe housing problems exceeding 14.38% (OR 1.13; 95% CI 1.09–1.18), children in single parent households exceeding 32.13% (OR 1.06; 95% CI 1.02–1.11), violent crime rate exceeding 250.54 per 100,000 (OR 1.07; 95% CI 1.03–1.12), diabetes exceeding 10.95% (OR 1.09: 95% CI 1.04–1.14), and drug poisoning deaths including opioids exceeding 14.17 per 100,000 (OR 1.04; 95% CI 1.01–1.08).

          Conclusion

          When compared to an all-condition, hospitalized population, ocular hospitalizations tended to have small, yet statistically significant associations with health behaviors, socioeconomic, and physical environment factors. Further research will be needed on how the physical environment, social, and community variables affect ocular health relative to all-cause hospitalizations.

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          Most cited references30

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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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            Estimated deaths attributable to social factors in the United States.

            We estimated the number of deaths attributable to social factors in the United States. We conducted a MEDLINE search for all English-language articles published between 1980 and 2007 with estimates of the relation between social factors and adult all-cause mortality. We calculated summary relative risk estimates of mortality, and we obtained and used prevalence estimates for each social factor to calculate the population-attributable fraction for each factor. We then calculated the number of deaths attributable to each social factor in the United States in 2000. Approximately 245,000 deaths in the United States in 2000 were attributable to low education, 176,000 to racial segregation, 162,000 to low social support, 133,000 to individual-level poverty, 119,000 to income inequality, and 39,000 to area-level poverty. The estimated number of deaths attributable to social factors in the United States is comparable to the number attributed to pathophysiological and behavioral causes. These findings argue for a broader public health conceptualization of the causes of mortality and an expansive policy approach that considers how social factors can be addressed to improve the health of populations.
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              Disparities in diabetes: the nexus of race, poverty, and place.

              We sought to determine the role of neighborhood poverty and racial composition on race disparities in diabetes prevalence. We used data from the 1999-2004 National Health and Nutrition Examination Survey and 2000 US Census to estimate the impact of individual race and poverty and neighborhood racial composition and poverty concentration on the odds of having diabetes. We found a race-poverty-place gradient for diabetes prevalence for Blacks and poor Whites. The odds of having diabetes were higher for Blacks than for Whites. Individual poverty increased the odds of having diabetes for both Whites and Blacks. Living in a poor neighborhood increased the odds of having diabetes for Blacks and poor Whites. To address race disparities in diabetes, policymakers should address problems created by concentrated poverty (e.g., lack of access to reasonably priced fruits and vegetables, recreational facilities, and health care services; high crime rates; and greater exposures to environmental toxins). Housing and development policies in urban areas should avoid creating high-poverty neighborhoods.
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                Author and article information

                Contributors
                Dustin.French@northwestern.edu
                Journal
                Ophthalmol Ther
                Ophthalmol Ther
                Ophthalmology and Therapy
                Springer Healthcare (Cheshire )
                2193-8245
                2193-6528
                1 November 2019
                1 November 2019
                December 2019
                : 8
                : 4
                : 611-622
                Affiliations
                [1 ]GRID grid.16753.36, ISNI 0000 0001 2299 3507, Department of Ophthalmology, Feinberg School of Medicine, , Northwestern University, ; Chicago, IL USA
                [2 ]GRID grid.16753.36, ISNI 0000 0001 2299 3507, Center for Healthcare Studies, Feinberg School of Medicine, , Northwestern University, ; Chicago, IL USA
                [3 ]Veterans Affairs Health Services Research and Development Service, Chicago, IL USA
                [4 ]GRID grid.170693.a, ISNI 0000 0001 2353 285X, Department of Ophthalmology, Morsani College of Medicine, , University of South Florida, ; Tampa, FL USA
                Author information
                http://orcid.org/0000-0003-4064-3206
                Article
                220
                10.1007/s40123-019-00220-1
                6858415
                31677061
                4434a908-fa8a-4026-a50c-c27714cfc63f
                © The Author(s) 2019
                History
                : 9 September 2019
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/100000867, Robert Wood Johnson Foundation;
                Award ID: 74315
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/100000133, Agency for Healthcare Research and Quality;
                Award ID: HS000078
                Award ID: HS000084
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/100001818, Research to Prevent Blindness;
                Categories
                Original Research
                Custom metadata
                © The Author(s) 2019

                eye,hospitalization,social determinants of health,socioeconomic factors

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