Wardah Rafaqat, Omar Mahmud, Christopher Alba, May Abiad, Emanuele Lagazzi, Dias Argandykov, John O Hwabejire, George C Velmahos, Jonathan J Parks, Michael P DeWane
{"title":"The Impact of Hospital Affiliation on Hospital Transfer Practices.","authors":"Wardah Rafaqat, Omar Mahmud, Christopher Alba, May Abiad, Emanuele Lagazzi, Dias Argandykov, John O Hwabejire, George C Velmahos, Jonathan J Parks, Michael P DeWane","doi":"10.1177/11786329251357378","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Affiliations between community and academic hospitals are increasing. However, their impact on transfer practices remains under-characterized.</p><p><strong>Objectives: </strong>To understand the impacts of hospital affiliation on transfer practices and hospital resource utilization.</p><p><strong>Design: </strong>Retrospective cohort study.</p><p><strong>Methods: </strong>We included patients ⩾18 years who were transferred from a 178-bed community hospital to a tertiary academic hospital between January 2015 to December 2019. Interrupted time series analysis was used to evaluate changes in outcomes after the affiliation in January 2017. Our primary outcome was the change in quarterly rate of early discharge (discharge within 48 hours post-transfer). Secondary outcomes included change in quarterly proportions of low-income patients, patients residing at a far distance from the hospital, and ICU admissions. We performed a sub-analysis in patients transferred to a surgical specialty that evaluated the tri-annual rate of operative management (surgical or interventional radiology procedure performed <72 hours after admission).</p><p><strong>Results: </strong>Among 144 included patients, 93 (64.6%) were transferred post-affiliation and 63 (43.1%) were transferred to a surgical specialty. No significant trends were seen across outcomes in the pre-affiliation period. Relative to the former period, there was a quarterly decrease in early discharge rates (<i>P</i> = .027) and a quarterly increase in the percentage of patients residing at a long distance from the transferring hospital (<i>P</i> = .027) after affiliation. There was also a relative tri-annual decrease in the rate of operative management (<i>P</i> = .039).</p><p><strong>Conclusion: </strong>Post-affiliation, the volume of transfers and utilization of resources at the receiving hospital increased. The percentage of transfer patients residing farther from the transferring hospital also increased.</p>","PeriodicalId":12876,"journal":{"name":"Health Services Insights","volume":"18 ","pages":"11786329251357378"},"PeriodicalIF":2.5000,"publicationDate":"2025-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12290378/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Health Services Insights","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1177/11786329251357378","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/1/1 0:00:00","PubModel":"eCollection","JCR":"Q2","JCRName":"HEALTH CARE SCIENCES & SERVICES","Score":null,"Total":0}
引用次数: 0
Abstract
Background: Affiliations between community and academic hospitals are increasing. However, their impact on transfer practices remains under-characterized.
Objectives: To understand the impacts of hospital affiliation on transfer practices and hospital resource utilization.
Design: Retrospective cohort study.
Methods: We included patients ⩾18 years who were transferred from a 178-bed community hospital to a tertiary academic hospital between January 2015 to December 2019. Interrupted time series analysis was used to evaluate changes in outcomes after the affiliation in January 2017. Our primary outcome was the change in quarterly rate of early discharge (discharge within 48 hours post-transfer). Secondary outcomes included change in quarterly proportions of low-income patients, patients residing at a far distance from the hospital, and ICU admissions. We performed a sub-analysis in patients transferred to a surgical specialty that evaluated the tri-annual rate of operative management (surgical or interventional radiology procedure performed <72 hours after admission).
Results: Among 144 included patients, 93 (64.6%) were transferred post-affiliation and 63 (43.1%) were transferred to a surgical specialty. No significant trends were seen across outcomes in the pre-affiliation period. Relative to the former period, there was a quarterly decrease in early discharge rates (P = .027) and a quarterly increase in the percentage of patients residing at a long distance from the transferring hospital (P = .027) after affiliation. There was also a relative tri-annual decrease in the rate of operative management (P = .039).
Conclusion: Post-affiliation, the volume of transfers and utilization of resources at the receiving hospital increased. The percentage of transfer patients residing farther from the transferring hospital also increased.