{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,17]],"date-time":"2026-10-17T20:52:19Z","timestamp":1792270339599,"version":"4.4.0"},"reference-count":40,"publisher":"American Medical Association (AMA)","issue":"2","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["JAMA Netw Open"],"abstract":"<jats:sec id=\"ab-zoi231653-4\"><jats:title>Importance<\/jats:title><jats:p>Transferring patients to other hospitals because of inpatient saturation or need for higher levels of care was often challenging during the early waves of the COVID-19 pandemic. Understanding how transfer patterns evolved over time and amid hospital overcrowding could inform future care delivery and load balancing efforts.<\/jats:p><\/jats:sec><jats:sec id=\"ab-zoi231653-5\"><jats:title>Objective<\/jats:title><jats:p>To evaluate trends in outgoing transfers at overall and caseload-strained hospitals during the COVID-19 pandemic vs prepandemic times.<\/jats:p><\/jats:sec><jats:sec id=\"ab-zoi231653-6\"><jats:title>Design, Setting, and Participants<\/jats:title><jats:p>This retrospective cohort study used data for adult patients at continuously reporting US hospitals in the PINC-AI Healthcare Database. Data analysis was performed from February to July 2023.<\/jats:p><\/jats:sec><jats:sec id=\"ab-zoi231653-7\"><jats:title>Exposures<\/jats:title><jats:p>Pandemic wave, defined as wave 1 (March 1, 2020, to May 31, 2020), wave 2 (June 1, 2020, to September 30, 2020), wave 3 (October 1, 2020, to June 19, 2021), Delta (June 20, 2021, to December 18, 2021), and Omicron (December 19, 2021, to February 28, 2022).<\/jats:p><\/jats:sec><jats:sec id=\"ab-zoi231653-8\"><jats:title>Main Outcomes and Measures<\/jats:title><jats:p>Weekly trends in cumulative mean daily acute care transfers from all hospitals were assessed by COVID-19 status, hospital urbanicity, and census index (calculated as daily inpatient census divided by nominal bed capacity). At each hospital, the mean difference in transfer counts was calculated using pairwise comparisons of pandemic (vs prepandemic) weeks in the same census index decile and averaged across decile hospitals in each wave. For top decile (ie, high-surge) hospitals, fold changes (and 95% CI) in transfers were adjusted for hospital-level factors and seasonality.<\/jats:p><\/jats:sec><jats:sec id=\"ab-zoi231653-9\"><jats:title>Results<\/jats:title><jats:p>At 681 hospitals (205 rural [30.1%] and 476 urban [69.9%]; 360 [52.9%] small with &amp;amp;lt;200 beds and 321 [47.1%] large with \u2265200 beds), the mean (SD) weekly outgoing transfers per hospital remained lower than the prepandemic mean of 12.1 (10.4) transfers per week for most of the pandemic, ranging from 8.5 (8.3) transfers per week during wave 1 to 11.9 (10.7) transfers per week during the Delta wave. Despite more COVID-19 transfers, overall transfers at study hospitals cumulatively decreased during each high national surge period. At 99 high-surge hospitals, compared with a prepandemic baseline, outgoing acute care transfers decreased in wave 1 (fold change \u221215.0%; 95% CI, \u221222.3% to \u22127.0%; <jats:italic>P<\/jats:italic>\u2009&amp;amp;lt;\u2009.001), returned to baseline during wave 2 (2.2%; 95% CI, \u22124.3% to 9.2%; <jats:italic>P<\/jats:italic>\u2009=\u2009.52), and displayed a sustained increase in subsequent waves:\u200919.8% (95% CI, 14.3% to 25.4%; <jats:italic>P<\/jats:italic>\u2009&amp;amp;lt;\u2009.001) in wave 3, 19.2% (95% CI, 13.4% to 25.4%; <jats:italic>P<\/jats:italic>\u2009&amp;amp;lt;\u2009.001) in the Delta wave, and 15.4% (95% CI, 7.8% to 23.5%; <jats:italic>P<\/jats:italic>\u2009&amp;amp;lt;\u2009.001) in the Omicron wave. Observed increases were predominantly limited to small urban hospitals, where transfers peaked (48.0%; 95% CI, 36.3% to 60.8%; <jats:italic>P<\/jats:italic>\u2009&amp;amp;lt;\u2009.001) in wave 3, whereas large urban and small rural hospitals displayed little to no increases in transfers from baseline throughout the pandemic.<\/jats:p><\/jats:sec><jats:sec id=\"ab-zoi231653-10\"><jats:title>Conclusions and Relevance<\/jats:title><jats:p>Throughout the COVID-19 pandemic, study hospitals reported paradoxical decreases in overall patient transfers during each high-surge period. Caseload-strained rural (vs urban) hospitals with fewer than 200 beds were unable to proportionally increase transfers. Prevailing vulnerabilities in flexing transfer capabilities for care or capacity reasons warrant urgent attention.<\/jats:p><\/jats:sec>","DOI":"10.1001\/jamanetworkopen.2023.56174","type":"journal-article","created":{"date-parts":[[2024,2,15]],"date-time":"2024-02-15T16:01:01Z","timestamp":1708012861000},"page":"e2356174","source":"Crossref","is-referenced-by-count":26,"title":["Trends in Patient Transfers From Overall and Caseload-Strained US Hospitals During the COVID-19 Pandemic"],"prefix":"10.1001","volume":"7","author":[{"given":"Sadia H.","family":"Sarzynski","sequence":"first","affiliation":[{"name":"Critical Care Medicine Department, National Institutes of Health Clinical Center, Bethesda, Maryland"},{"name":"Critical Care Medicine Branch, National Heart Lung & Blood Institute, Bethesda, Maryland"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Alex G.","family":"Mancera","sequence":"additional","affiliation":[{"name":"Critical Care Medicine Department, 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