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Predictors and outcomes of unplanned readmission to a different hospital

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Title
Predictors and outcomes of unplanned readmission to a different hospital
Author
Kim, HongsooHung, William W.Paik, Myunghee ChoRoss, Joseph S.Zhao, ZhonglinKim, Gi-SooBoockvar, Kenneth
Issue Date
2015-12
Publisher
Oxford University Press
Citation
INTERNATIONAL JOURNAL FOR QUALITY IN HEALTH CARE, v.27, no.6, pp.513 - 519
Abstract
Objectives: To examine patient, hospital and market factors and outcomes associated with readmission to a different hospital compared with the same hospital. Design: A population-based, secondary analysis using multilevel causal modeling. Setting: Acute care hospitals in California in the USA. Participants: In total, 509 775 patients aged 50 or older who were discharged alive from acute care hospitals (index hospitalizations), and 59 566 who had a rehospitalization within 30 days following their index discharge. Intervention: No intervention. Main Outcome Measures(s): Thirty-day unplanned readmissions to a different hospital compared with the same hospital and also the costs and health outcomes of the readmissions. Results: Twenty-one percent of patients with a rehospitalization had a different-hospital readmission. Compared with the same-hospital readmission group, the different-hospital readmission group was more likely to be younger, male and have a lower income. The index hospitals of the different-hospital readmission group were more likely to be smaller, for-profit hospitals, which were also more likely to be located in counties with higher competition. The different-hospital readmission group had higher odds for in-hospital death (8.1 vs. 6.7%; P < 0.0001) and greater readmission hospital costs ($15 671.8 vs. $14 286.4; P < 0.001) than the same-hospital readmission group. Conclusions: Patient, hospital and market characteristics predicted different-hospital readmissions compared with same-hospital readmissions. Mortality and cost outcomes were worse among patients with different-hospital readmissions. Strategies for better care coordination targeting people at risk for different-hospital readmissions are necessary.
URI
https://scholarworks.unist.ac.kr/handle/201301/47606
URL
https://academic.oup.com/intqhc/article/27/6/513/2357497
DOI
10.1093/intqhc/mzv082
ISSN
1353-4505
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SME_Journal Papers
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