{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,16]],"date-time":"2026-10-16T01:25:55Z","timestamp":1792113955041,"version":"4.4.0"},"reference-count":33,"publisher":"American Medical Association (AMA)","issue":"5","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["JAMA Netw Open"],"abstract":"Importance<\/jats:title>Referral hospitals in the US are experiencing unprecedented levels of crowding, leading them to increasingly refuse interhospital transfer (IHT) requests. Crowded hospitals are dangerous, but refusing IHTs undermines the role of referral hospitals and may cause harm.<\/jats:p><\/jats:sec>Objective<\/jats:title>To measure associations of hospital crowding measures (emergency department [ED] boarding and inpatient census) with IHT acceptances overall and for prioritized conditions.<\/jats:p><\/jats:sec>Design, Setting, and Participants<\/jats:title>This cross-sectional study from January 2019 to May 2023 analyzed data from the only academic and level I trauma center in a highly rural state in the Southwestern US, including transfer center data, ED boarding hours, and inpatient census. All transfer center calls regarding adults (age &amp;gt;18 years) were eligible for the study. Data were analyzed from June to October 2024.<\/jats:p><\/jats:sec>Main Outcome and Measures<\/jats:title>The primary outcome was the proportion of transfer requests accepted on a weekly and monthly basis. Adjusted logistic regression was used to analyze associations of ED boarding time and inpatient census with IHT acceptance, considering prioritized conditions (obstetrics, ST-elevation myocardial infarction [STEMI], stroke, and trauma) and rurality. Transfer data contained IHT request descriptors, including referring facility, date and time of call, decision (accept or decline), diagnosis, and patient demographics. ED boarding was measured daily as a sum of all boarding hours for each ED patient.<\/jats:p><\/jats:sec>Results<\/jats:title>The study included 26\u202f020 IHT requests (11\u202f267 women [43.2%]; mean [SD] age, 54.4 [19.6] years), of which 16\u202f062 were accepted (61.7%). There were 22\u202f119 (85.0%) requests from urban and 3901 requests (15.0%) from rural hospitals, with the majority of IHT requests (19\u202f912 requests [76.3%]) seeking transfer from an ED. There was a negative correlation between IHT acceptance and ED boarding (Pearson r<\/jats:italic>, \u22120.73) and inpatient census (Pearson r<\/jats:italic>, \u22120.87). At times of worst ED boarding (highest vs lowest quartile), the odds of IHT acceptance were lower (adjusted odds ratio [aOR], 0.71; 95% CI, 0.66-0.78). Of the 3901 rural requests, 2196 (56.3%) were accepted, with lower odds of acceptance for rural vs urban requests (aOR, 0.66; 95% CI, 0.64-0.79). Prioritized diagnoses were more commonly accepted, particularly obstetrics (aOR, 5.28; 95% CI, 4.17-6.70), STEMI (aOR, 3.04; 95% CI, 1.86-4.98), and trauma (aOR, 3.19; 95% CI, 2.86, 3.57).<\/jats:p><\/jats:sec>Conclusions and Relevance<\/jats:title>In this cross-sectional study of IHT requests, the severity of ED boarding and inpatient census were associated with decreased IHT acceptance, suggesting that overcrowded referral hospitals face tradeoffs as they seek to fulfill seemingly conflicting obligations to safely care for locally hospitalized patients and accept regional patients seeking transfer.<\/jats:p><\/jats:sec>","DOI":"10.1001\/jamanetworkopen.2025.12299","type":"journal-article","created":{"date-parts":[[2025,5,28]],"date-time":"2025-05-28T15:31:08Z","timestamp":1748446268000},"page":"e2512299","source":"Crossref","is-referenced-by-count":15,"title":["Emergency Department Boarding, Inpatient Census, and Interhospital Transfer Acceptances"],"prefix":"10.1001","volume":"8","author":[{"given":"Margaret","family":"Greenwood-Ericksen","sequence":"first","affiliation":[{"name":"Department of Emergency Medicine, School of Medicine, University of New Mexico, Albuquerque"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Neil","family":"Kamdar","sequence":"additional","affiliation":[{"name":"Institute for Healthcare Policy and Innovation, University of Michigan, Ann Arbor"},{"name":"Center for Population Health Sciences, Stanford University, Stanford, California"},{"name":"Sheps Center for Health Services Research, University of North Carolina, Chapel Hill"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kjirsten","family":"Swenson","sequence":"additional","affiliation":[{"name":"Department of Emergency Medicine, School of Medicine, University of New Mexico, 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E.","family":"Kocher","sequence":"additional","affiliation":[{"name":"Departments of Emergency Medicine and Learning Health Sciences, University of Michigan, Ann Arbor"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kori S.","family":"Zachrison","sequence":"additional","affiliation":[{"name":"Department of Emergency Medicine, Massachusetts General Hospital, Boston"},{"name":"Department of Emergency Medicine, Harvard Medical School, Boston, Massachusetts"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"10","published-online":{"date-parts":[[2025,5,28]]},"reference":[{"key":"zoi250415r1","article-title":"Emergency department crowding: the canary in the health care system.","author":"Kelen","journal-title":"NEJM Catalyst"},{"issue":"3","key":"zoi250415r2","doi-asserted-by":"publisher","first-page":"189","DOI":"10.15441\/ceem.18.022","article-title":"Emergency department and hospital crowding: causes, consequences, and 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