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Trends in Patient Transfers From Overall and Caseload-Strained US Hospitals During the COVID-19 Pandemic.
Sarzynski, Sadia H; Mancera, Alex G; Yek, Christina; Rosenthal, Ning An; Kartashov, Alex; Hick, John L; Mitchell, Steven H; Neupane, Maniraj; Warner, Sarah; Sun, Junfeng; Demirkale, Cumhur Y; Swihart, Bruce; Kadri, Sameer S.
Afiliação
  • Sarzynski SH; Critical Care Medicine Department, National Institutes of Health Clinical Center, Bethesda, Maryland.
  • Mancera AG; Critical Care Medicine Branch, National Heart Lung & Blood Institute, Bethesda, Maryland.
  • Yek C; Critical Care Medicine Department, National Institutes of Health Clinical Center, Bethesda, Maryland.
  • Rosenthal NA; Critical Care Medicine Branch, National Heart Lung & Blood Institute, Bethesda, Maryland.
  • Kartashov A; Critical Care Medicine Department, National Institutes of Health Clinical Center, Bethesda, Maryland.
  • Hick JL; Critical Care Medicine Branch, National Heart Lung & Blood Institute, Bethesda, Maryland.
  • Mitchell SH; PINC-AI Applied Sciences, Premier, Inc, Charlotte, North Carolina.
  • Neupane M; PINC-AI Applied Sciences, Premier, Inc, Charlotte, North Carolina.
  • Warner S; Hennepin Healthcare, Minneapolis, Minnesota.
  • Sun J; Department of Emergency Medicine, University of Minnesota Medical School, Minneapolis.
  • Demirkale CY; Department of Emergency Medicine, University of Washington, Seattle.
  • Swihart B; Critical Care Medicine Department, National Institutes of Health Clinical Center, Bethesda, Maryland.
  • Kadri SS; Critical Care Medicine Branch, National Heart Lung & Blood Institute, Bethesda, Maryland.
JAMA Netw Open ; 7(2): e2356174, 2024 Feb 05.
Article em En | MEDLINE | ID: mdl-38358739
ABSTRACT
Importance 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.

Objective:

To evaluate trends in outgoing transfers at overall and caseload-strained hospitals during the COVID-19 pandemic vs prepandemic times. Design, Setting, and

Participants:

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. Exposures 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). Main Outcomes and

Measures:

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.

Results:

At 681 hospitals (205 rural [30.1%] and 476 urban [69.9%]; 360 [52.9%] small with <200 beds and 321 [47.1%] large with ≥200 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 -15.0%; 95% CI, -22.3% to -7.0%; P < .001), returned to baseline during wave 2 (2.2%; 95% CI, -4.3% to 9.2%; P = .52), and displayed a sustained increase in subsequent waves 19.8% (95% CI, 14.3% to 25.4%; P < .001) in wave 3, 19.2% (95% CI, 13.4% to 25.4%; P < .001) in the Delta wave, and 15.4% (95% CI, 7.8% to 23.5%; P < .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%; P < .001) in wave 3, whereas large urban and small rural hospitals displayed little to no increases in transfers from baseline throughout the pandemic. Conclusions and Relevance 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.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Entorses e Distensões / COVID-19 Tipo de estudo: Observational_studies / Risk_factors_studies Limite: Adult / Humans Idioma: En Revista: JAMA Netw Open Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Entorses e Distensões / COVID-19 Tipo de estudo: Observational_studies / Risk_factors_studies Limite: Adult / Humans Idioma: En Revista: JAMA Netw Open Ano de publicação: 2024 Tipo de documento: Article
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