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      Socioeconomic Status and Race are both Independently associated with Increased Hospitalization Rate among Crohn’s Disease Patients

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          Abstract

          Racial disparities are observed clinically in Crohn’s Disease (CD) with research suggesting African Americans (AA) have worse outcomes than Caucasian Americans (CA). The aim of this study is to assess whether socioeconomic status (SES) rather than race is the major predictor of worse outcomes. We designed a retrospective cohort study of 944 CD patients seen at our center. Patients’ billing zip codes were collected and average income and percent of population living above or below poverty level (PL) for each zip code calculated. Patients were separated by quartiles using average state income level and federal PL. Demographics and hospitalization rates were collected. Poison regression models estimated incidence rate ratios (IRR) for CD-related hospitalizations. Incidence rate (IR) of hospitalization per 100-person years for the lowest income group was 118 (CI 91.4–152.3), highest income group was 29 (CI 21.7–38.9), Above PL was 26.9 (25.9–28.9), Below PL was 35.9 (33.1–38.9), CA was 25.3 (23.7–27), and AA was 51.4 (46.8–56.3). IRR for a CD-related hospitalization for lowest income group was 2.01 (CI 1.34–3.01), for Below PL was 1.26 (CI 1.12–1.42), and for AAs was 1.88 (CI 1.66–2.12). SES and race are both associated with hospitalization among CD patients and need further investigation.

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          Measurement of socioeconomic status in health disparities research.

          Socioeconomic status (SES) is frequently implicated as a contributor to the disparate health observed among racial/ ethnic minorities, women and elderly populations. Findings from studies that examine the role of SES and health disparities, however, have provided inconsistent results. This is due in part to the: 1) lack of precision and reliability of measures; 2) difficulty with the collection of individual SES data; 3) the dynamic nature of SES over a lifetime; 4) the classification of women, children, retired and unemployed persons; 5) lack of or poor correlation between individual SES measures; and 6) and inaccurate or misleading interpretation of study results. Choosing the best variable or approach for measuring SES is dependent in part on its relevance to the population and outcomes under study. Many of the commonly used compositional and contextual SES measures are limited in terms of their usefulness for examining the effect of SES on outcomes in analyses of data that include population subgroups known to experience health disparities. This article describes SES measures, strengths and limitations of specific approaches and methodological issues related to the analysis and interpretation of studies that examine SES and health disparities.
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            Effects of race and income on mortality and use of services among Medicare beneficiaries.

            There are wide disparities between blacks and whites in the use of many Medicare services. We studied the effects of race and income on mortality and use of services. We linked 1990 census data on median income according to ZIP Code with 1993 Medicare administrative data for 26.3 million beneficiaries 65 years of age or older (24.2 million whites and 2.1 million blacks). We calculated age-adjusted mortality rates and age- and sex-adjusted rates of various diagnoses and procedures according to race and income and computed black:white ratios. The 1993 Medicare Current Beneficiary Survey was used to validate the results and determine rates of immunization against influenza. For mortality, the black:white ratios were 1.19 for men and 1.16 for women (P<0.001 for both). For hospital discharges, the ratio was 1.14 (P<0.001), and for visits to physicians for ambulatory care it was 0.89 (P<0.001). For every 100 women, there were 26.0 mammograms among whites and 17.1 mammograms among blacks. As compared with mammography rates in the respective most affluent group, rates in the least affluent group were 33 percent lower among whites and 22 percent lower among blacks. The black:white rate ratio was 2.45 for bilateral orchiectomy and 3.64 for amputations of all or part of the lower limb (P<0.001 for both). For every 1000 beneficiaries, there were 515 influenza immunizations among whites and 313 among blacks. As compared with immunization rates in the respective most affluent group, rates in the least affluent group were 26 percent lower among whites and 39 percent lower among blacks. Adjusting the mortality and utilization rates for differences in income generally reduced the racial differences, but the effect was relatively small. Race and income have substantial effects on mortality and use of services among Medicare beneficiaries. Providing health insurance is not enough to ensure that the program is used effectively and equitably by all beneficiaries.
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              Effects of residence and race on burden of travel for care: cross sectional analysis of the 2001 US National Household Travel Survey

              Background Travel burden is a key element in conceptualizing geographic access to health care. Prior research has shown that both rural and minority populations bear disproportionate travel burdens. However, many studies are limited to specific types of patient or specific locales. The purpose of our study was to quantify geographic and race-based differences in distance traveled and time spent in travel for medical/dental care using representative national data. Methods Data were drawn from 2001 National Household Travel Survey (NHTS), a nationally representative, cross-sectional household survey conducted by the US Department of Transportation. Participants recorded all travel on a designated day; the overall response rate was 41%. Analyses were restricted to households reporting at least one trip for medical and/or dental care; 3,914 trips made by 2,432 households. Dependent variables in the analysis were road miles traveled, minutes spent traveling, and high travel burden, defined as more than 30 miles or 30 minutes per trip. Independent variables of interest were rural residence and race. Characteristics of the individual, the trip, and the community were controlled in multivariate analyses. Results The average trip for care in the US in 2001 entailed 10.2 road miles (16.4 kilometers) and 22.0 minutes of travel. Rural residents traveled further than urban residents in unadjusted analysis (17.5 versus 8.3 miles; 28.2 versus 13.4 km). Rural trips took 31.4% longer than urban trips (27.2 versus 20.7 minutes). Distance traveled did not vary by race. African Americans spent more time in travel than whites (29.1 versus 20.6 minutes); other minorities did not differ. In adjusted analyses, rural residence (odds ratio, OR, 2.67, 95% confidence interval, CI 1.39 5.1.5) was associated with a trip of 30 road miles or more; rural residence (OR, 1.80, CI 1.09 2.99) and African American race/ethnicity (OR 3.04. 95% CI 2.0 4.62) were associated with a trip lasting 30 minutes or longer. Conclusion Rural residents and African Americans experience higher travel burdens than urban residents or whites when seeking medical/dental care.
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                Author and article information

                Contributors
                callamneni@uabmc.edu
                Journal
                Sci Rep
                Sci Rep
                Scientific Reports
                Nature Publishing Group UK (London )
                2045-2322
                5 March 2018
                5 March 2018
                2018
                : 8
                : 4028
                Affiliations
                [1 ]ISNI 0000000106344187, GRID grid.265892.2, Department of Internal Medicine, Tinsley Harrison Internal Medicine Residency Program, , University of Alabama at Birmingham, ; Birmingham, Alabama USA
                [2 ]ISNI 0000000106344187, GRID grid.265892.2, Division of Gastroenterology & Hepatology, , University of Alabama at Birmingham, ; Birmingham, Alabama USA
                [3 ]ISNI 0000000106344187, GRID grid.265892.2, Department of Epidemiology, , University of Alabama at Birmingham, ; Birmingham, Alabama USA
                Article
                22429
                10.1038/s41598-018-22429-z
                5838155
                29507339
                65cc1cf8-7948-4a1f-87e7-bb3693faf95e
                © The Author(s) 2018

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 26 October 2017
                : 21 February 2018
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