The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Neighborhood Socioeconomic Disadvantage and 30-Day Rehospitalization: A Retrospective Cohort Study
Open accessAbstract
BACKGROUND: 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. OBJECTIVE: To evaluate the association between neighborhood socioeconomic disadvantage at the census block group level, as measured by the Singh validated area deprivation index (ADI), and 30-day rehospitalization. DESIGN: Retrospective cohort study. SETTING: United States. PATIENTS: Random 5% national sample of Medicare patients discharged with congestive heart failure, pneumonia, or myocardial infarction between 2004 and 2009 (n = 255,744). MEASUREMENTS: Medicare data were linked to 2000 census data to construct an ADI for each patient's census block group, which were then sorted into percentiles by increasing ADI. Relationships between neighborhood ADI grouping and 30-day rehospitalization were evaluated using multivariate logistic regression models, controlling for patient sociodemographic characteristics, comorbid conditions and severity, and index hospital characteristics. RESULTS: The 30-day rehospitalization rate did not vary significantly across the least disadvantaged 85% of neighborhoods, which had an average rehospitalization rate of 21%. However, within the most disadvantaged 15% of neighborhoods, rehospitalization rates increased from 22% to 27% with worsening ADI. This relationship persisted after full adjustment, with the most disadvantaged neighborhoods having a rehospitalization risk (adjusted risk ratio, 1.09 [95% CI, 1.05 to 1.12]) similar to that of chronic pulmonary disease (adjusted risk ratio, 1.06 [CI, 1.04 to 1.08]) and greater than that of uncomplicated diabetes (adjusted risk ratio, 0.95 [CI, 0.94 to 0.97]). LIMITATION: No direct markers of care quality or access. CONCLUSION: Residence within a disadvantaged U.S. neighborhood is a rehospitalization predictor of magnitude similar to chronic pulmonary disease. Measures of neighborhood disadvantage, such as the ADI, could potentially be used to inform policy and care after hospital discharge. PRIMARY FUNDING SOURCE: National Institute on Aging and University of Wisconsin School of Medicine and Public Health's Institute for Clinical and Translational Research and Health Innovation Program.
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Cites
Comorbidity measures for use with administrative data.
Elixhauser, A., Steiner, C., Harris, D. R., & Coffey, R. M. (1998) · Medical Care · doi:10.1097/00005650-199801000-00004 · Cited by 9,921
Lantz, P. M., House, J. S., Lepkowski, J. M., Williams, D. R., Mero, R. P., & Chen, J. (1998) · JAMA · doi:10.1001/jama.279.21.1703 · Cited by 1,514
Neighborhoods, obesity, and diabetes—a randomized social experiment.
Ludwig, J., Sanbonmatsu, L., Gennetian, L., Adam, E., Duncan, G. J., Katz, L. F., Kessler, R. C., Kling, J. R., Lindau, S. T., Whitaker, R. C., et al. (2011) · New England Journal of Medicine · doi:10.1056/nejmsa1103216 · Cited by 964
Neighborhood Effects on the Long-Term Well-Being of Low-Income Adults
Ludwig, J., Duncan, G. J., Gennetian, L. A., Katz, L. F., Kessler, R. C., Kling, J. R., & Sanbonmatsu, L. (2012) · Science · doi:10.1126/science.1224648 · Cited by 747
Cited by
Making Neighborhood-Disadvantage Metrics Accessible — The Neighborhood Atlas
Kind, A. J. H., & Buckingham, W. R. (2018) · New England Journal of Medicine · doi:10.1056/nejmp1802313 · Cited by 3,310
Self-citationArea Deprivation Index Predicts Readmission Risk at an Urban Teaching Hospital
Hu, J., Kind, A. J. H., & Nerenz, D. (2018) · American Journal of Medical Quality · doi:10.1177/1062860617753063 · Cited by 389
Self-citationMaroko, A. R., Doan, T. M., Arno, P. S., Hubel, M., Yi, S., & Viola, D. (2016) · Preventing Chronic Disease · doi:10.5888/pcd13.160221 · Cited by 230
Joynt Maddox, K. E., Reidhead, M., Hu, J., Kind, A. J. H., Zaslavsky, A. M., Nagasako, E. M., & Nerenz, D. R. (2019) · Health Services Research · doi:10.1111/1475-6773.13133 · Cited by 214
Self-citationNutritional Status and Mortality in the Critically Ill*
Mogensen, K. M., Robinson, M. K., Casey, J. D., Gunasekera, N. S., Moromizato, T., Rawn, J. D., & Christopher, K. B. (2015) · Critical Care Medicine · doi:10.1097/ccm.0000000000001306 · Cited by 190
Metadata
- Authors
- Kind, A. J. H., Jencks, S., Brock, J., Yu, M., Bartels, C., Ehlenbach, W., Greenberg, C., & Smith, M.
- Venue
- Annals of Internal Medicine
- Publisher
- American College of Physicians
- Published
- 2014-12-02
- Volume
- 161
- Issue
- 11
- Pages
- 765-774
- ISSN
- 0003-4819 (ISSN-L)
- 1539-3704
- OpenAlex
- W2150408337
- Cited by
- 1,379
- References
- 4
- FWCI
- 29.58
- Type
- journal article
- Language
- en
- Open access
- green
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