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Kim, Gi-Soo
Statistical Decision Making
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dc.citation.endPage 519 -
dc.citation.number 6 -
dc.citation.startPage 513 -
dc.citation.title INTERNATIONAL JOURNAL FOR QUALITY IN HEALTH CARE -
dc.citation.volume 27 -
dc.contributor.author Kim, Hongsoo -
dc.contributor.author Hung, William W. -
dc.contributor.author Paik, Myunghee Cho -
dc.contributor.author Ross, Joseph S. -
dc.contributor.author Zhao, Zhonglin -
dc.contributor.author Kim, Gi-Soo -
dc.contributor.author Boockvar, Kenneth -
dc.date.accessioned 2023-12-22T00:16:26Z -
dc.date.available 2023-12-22T00:16:26Z -
dc.date.created 2020-08-20 -
dc.date.issued 2015-12 -
dc.description.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.
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dc.identifier.bibliographicCitation INTERNATIONAL JOURNAL FOR QUALITY IN HEALTH CARE, v.27, no.6, pp.513 - 519 -
dc.identifier.doi 10.1093/intqhc/mzv082 -
dc.identifier.issn 1353-4505 -
dc.identifier.scopusid 2-s2.0-84958677499 -
dc.identifier.uri https://scholarworks.unist.ac.kr/handle/201301/47606 -
dc.identifier.url https://academic.oup.com/intqhc/article/27/6/513/2357497 -
dc.identifier.wosid 000368250400013 -
dc.language 영어 -
dc.publisher Oxford University Press -
dc.title Predictors and outcomes of unplanned readmission to a different hospital -
dc.type Article -
dc.description.isOpenAccess TRUE -
dc.relation.journalWebOfScienceCategory Health Care Sciences & Services; Health Policy & Services -
dc.relation.journalResearchArea Health Care Sciences & Services -
dc.type.docType Article -
dc.description.journalRegisteredClass scie -
dc.description.journalRegisteredClass ssci -
dc.description.journalRegisteredClass scopus -
dc.subject.keywordAuthor readmissions -
dc.subject.keywordAuthor hospital care -
dc.subject.keywordAuthor patient outcomes -
dc.subject.keywordAuthor health policy -
dc.subject.keywordPlus ADVERSE EVENTS -
dc.subject.keywordPlus PREVALENCE -
dc.subject.keywordPlus REHOSPITALIZATIONS -
dc.subject.keywordPlus RECORDS -
dc.subject.keywordPlus MODELS -

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