Identifying risk factors for 30-day readmission events among American Indian patients with diabetes in the Four Corners region of the southwest from 2009 to 2016
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Author
King, CarolineAtwood, Sidney
Lozada, Mia
Nelson, Adrianne Katrina
Brown, Chris
Sabo, Samantha
Curley, Cameron
Muskett, Olivia
Orav, Endel John
Shin, Sonya
Affiliation
Univ Arizona, Mel & Enid Zukerman Coll Publ HlthUniv Arizona, Hlth Promot Sci Dept
Issue Date
2018-08-02
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PUBLIC LIBRARY SCIENCECitation
King C, Atwood S, Lozada M, Nelson AK, Brown C, Sabo S, et al. (2018) Identifying risk factors for 30-day readmission events among American Indian patients with diabetes in the Four Corners region of the southwest from 2009 to 2016. PLoS ONE 13(8): e0195476. https://doi.org/10.1371/journal.pone.0195476Journal
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This is an open access article, free of all copyright, and may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. The work is made available under the Creative Commons CC0 public domain dedication.Collection Information
This item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu.Abstract
Objective The objective of this study was to identify risk factors for 30-day readmission events for American Indian patients with diabetes in the southwest. Research design and methods Data from patients with diabetes admitted to Gallup Indian Medical Center between 2009 and 2016 were analyzed using logistic regression analyses. Results Of 2,660 patients, 394 (14.8%) patients had at least one readmission within 30 days of discharge. Older age (OR (95% CI) = 1.26, (1.17,1.36)), longer length of stay (OR (95% CI) = 1.01, (1.0001,1.0342)), and a history of substance use disorder (OR (95% CI) = 1.80, (1.25, 2.60)) were risk factors for 30-day readmission. An American Indian language preference was protective against readmission. Conclusions Readmission events are complex and may reflect broad and interwoven disparities in community systems. Future research should work to support community-defined interventions to address both in hospital and external factors that impact risk factors for readmission.Note
Open access journal.ISSN
1932-6203PubMed ID
30070989Version
Final published versionSponsors
Patient-Centered Outcomes Research Institute (PCORI) [AD1304-6566]; COPE Project; CHAP (the Community Health Advisory Panel); CAG (the COPE Advisory Group)ae974a485f413a2113503eed53cd6c53
10.1371/journal.pone.0195476
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Except where otherwise noted, this item's license is described as This is an open access article, free of all copyright, and may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. The work is made available under the Creative Commons CC0 public domain dedication.
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