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      Area Deprivation Index Predicts Readmission Risk at an Urban Teaching Hospital

      1 , 2 , 3 , 1
      American Journal of Medical Quality
      SAGE Publications

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          Abstract

          <p class="first" id="P1">A growing body of evidence has shown that neighborhood characteristics have significant effects on quality metrics evaluating health plans or health care providers. Using a data set of an urban teaching hospital patient discharges, this study aimed to determine whether a significant effect of neighborhood characteristics, measured by the Area Deprivation Index, could be observed on patients’ readmission risk, independent of patient-level clinical and demographic factors. We found that patients residing in the more disadvantaged neighborhoods had significantly higher 30-day readmission risks, compared to those living in the less disadvantaged neighborhoods, even after accounting for individual-level factors. Those living in the most extremely socioeconomically challenged neighborhoods were 70 percent more likely to be readmitted than their counterparts who lived in the less disadvantaged neighborhoods. Our findings suggest that neighborhood-level factors should be considered along with individual-level factors in future work on adjustment of quality metrics for social risk factors. </p>

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          Most cited references16

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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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            Impact of social factors on risk of readmission or mortality in pneumonia and heart failure: systematic review.

            Readmission and mortality after hospitalization for community-acquired pneumonia (CAP) and heart failure (HF) are publically reported. This systematic review assessed the impact of social factors on risk of readmission or mortality after hospitalization for CAP and HF-variables outside a hospital's control. We searched OVID, PubMed and PSYCHINFO for studies from 1980 to 2012. Eligible articles examined the association between social factors and readmission or mortality in patients hospitalized with CAP or HF. We abstracted data on study characteristics, domains of social factors examined, and presence and magnitude of associations. Seventy-two articles met inclusion criteria (20 CAP, 52 HF). Most CAP studies evaluated age, gender, and race and found older age and non-White race were associated with worse outcomes. The results for gender were mixed. Few studies assessed higher level social factors, but those examined were often, but inconsistently, significantly associated with readmissions after CAP, including lower education, low income, and unemployment, and with mortality after CAP, including low income. For HF, older age was associated with worse outcomes and results for gender were mixed. Non-Whites had more readmissions after HF but decreased mortality. Again, higher level social factors were less frequently studied, but those examined were often, but inconsistently, significantly associated with readmissions, including low socioeconomic status (Medicaid insurance, low income), living situation (home stability rural address), lack of social support, being unmarried and risk behaviors (smoking, cocaine use and medical/visit non-adherence). Similar findings were observed for factors associated with mortality after HF, along with psychiatric comorbidities, lack of home resources and greater distance to hospital. A broad range of social factors affect the risk of post-discharge readmission and mortality in CAP and HF. Future research on adverse events after discharge should study social determinants of health.
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              Relationship between hospital readmission and mortality rates for patients hospitalized with acute myocardial infarction, heart failure, or pneumonia.

              The Centers for Medicare & Medicaid Services publicly reports hospital 30-day, all-cause, risk-standardized mortality rates (RSMRs) and 30-day, all-cause, risk-standardized readmission rates (RSRRs) for acute myocardial infarction, heart failure, and pneumonia. The evaluation of hospital performance as measured by RSMRs and RSRRs has not been well characterized. To determine the relationship between hospital RSMRs and RSRRs overall and within subgroups defined by hospital characteristics. We studied Medicare fee-for-service beneficiaries discharged with acute myocardial infarction, heart failure, or pneumonia between July 1, 2005, and June 30, 2008 (4506 hospitals for acute myocardial infarction, 4767 hospitals for heart failure, and 4811 hospitals for pneumonia). We quantified the correlation between hospital RSMRs and RSRRs using weighted linear correlation; evaluated correlations in groups defined by hospital characteristics; and determined the proportion of hospitals with better and worse performance on both measures. Hospital 30-day RSMRs and RSRRs. Mean RSMRs and RSRRs, respectively, were 16.60% and 19.94% for acute myocardial infarction, 11.17% and 24.56% for heart failure, and 11.64% and 18.22% for pneumonia. The correlations between RSMRs and RSRRs were 0.03 (95% CI, -0.002 to 0.06) for acute myocardial infarction, -0.17 (95% CI, -0.20 to -0.14) for heart failure, and 0.002 (95% CI, -0.03 to 0.03) for pneumonia. The results were similar for subgroups defined by hospital characteristics. Although there was a significant negative linear relationship between RSMRs and RSRRs for heart failure, the shared variance between them was only 2.9% (r2 = 0.029), with the correlation most prominent for hospitals with RSMR <11%. Risk-standardized mortality rates and readmission rates were not associated for patients admitted with an acute myocardial infarction or pneumonia and were only weakly associated, within a certain range, for patients admitted with heart failure.
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                Author and article information

                Journal
                American Journal of Medical Quality
                Am J Med Qual
                SAGE Publications
                1062-8606
                1555-824X
                January 22 2018
                January 22 2018
                : 106286061775306
                Affiliations
                [1 ]Henry Ford Health System, Detroit, MI
                [2 ]University of Wisconsin School of Medicine and Public Health, Madison, WI
                [3 ]William S. Middleton Veteran’s Affairs Hospital, Madison, WI
                Article
                10.1177/1062860617753063
                6027592
                29357679
                9a2bddb2-3c09-442b-9555-44c3210ecc5b
                © 2018

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