Insurance-Based Disparities in Outcomes and ECMO Utilization for Hospitalized COVID-19 Patients.


Journal

Anesthesiology
ISSN: 1528-1175
Titre abrégé: Anesthesiology
Pays: United States
ID NLM: 1300217

Informations de publication

Date de publication:
25 Mar 2024
Historique:
medline: 25 3 2024
pubmed: 25 3 2024
entrez: 25 3 2024
Statut: aheadofprint

Résumé

The objective of this study was to examine insurance-based disparities in mortality, non-home discharges, and ECMO utilization in patients hospitalized with COVID-19. Using a national database of U.S. academic medical centers and their affiliated hospitals, the risk-adjusted association between mortality, non-home discharge, and ECMO utilization and (1) the type of insurance coverage (private insurance, Medicare, dual enrollment in Medicare and Medicaid, and no insurance) and (2) the weekly hospital COVID-19 burden (0-5.0%; 5.1-10%, 10.1-20%, 20.1-30%, 30.1%-) was evaluated. Modelling was expanded to include an interaction between payer status and the weekly hospital COVID-19 burden to examine whether the lack of private insurance was associated with increases in disparities as the COVID-19 burden increased. Among 760,846 patients hospitalized with COVID-19, 214,992 had private insurance, 318,624 had Medicare, 96,192 were dually enrolled in Medicare and Medicaid, 107,548 had Medicaid, and 23,560 had no insurance. Overall, 76,250 died, 211,702 had non-home discharges, 75,703 were mechanically ventilated, and 2,642 underwent ECMO. The adjusted odds of death were higher in patients with Medicare (aOR 1.28; [95% CI: 1.21, 1.35]; P<0.0005), dually enrolled (aOR, 1.39; [1.30, 1.50]; P<0.0005), Medicaid (aOR, 1.28; [1.20, 1.36]; P<0.0005), and no insurance (aOR, 1.43; [1.26, 1.62]; P<0.0005) compared to patients with private insurance. Patients with Medicare (aOR, 0.47; [CI: 0.39, 0.58]; P <0.0005), dually enrolled (aOR, 0.32; [0.24, 0.43]; P<0.0005), Medicaid (aOR, 0.70; [ 0.62, 0.79]; P<0.0005), and no insurance (aOR, 0.40; [0.29, 0.56]; P<0.001] were less likely to be placed on ECMO than patients with private insurance. Mortality, non-home discharges, and ECMO utilization did not change significantly more in patients with private insurance compared to patients without private insurance as the COVID-19 burden increased. Among patients with COVID-19, insurance-based disparities in mortality, non-home discharges, and ECMO utilization were substantial, but these disparities did not increase as the hospital COVID-19 burden increased.

Sections du résumé

BACKGROUND BACKGROUND
The objective of this study was to examine insurance-based disparities in mortality, non-home discharges, and ECMO utilization in patients hospitalized with COVID-19.
METHODS METHODS
Using a national database of U.S. academic medical centers and their affiliated hospitals, the risk-adjusted association between mortality, non-home discharge, and ECMO utilization and (1) the type of insurance coverage (private insurance, Medicare, dual enrollment in Medicare and Medicaid, and no insurance) and (2) the weekly hospital COVID-19 burden (0-5.0%; 5.1-10%, 10.1-20%, 20.1-30%, 30.1%-) was evaluated. Modelling was expanded to include an interaction between payer status and the weekly hospital COVID-19 burden to examine whether the lack of private insurance was associated with increases in disparities as the COVID-19 burden increased.
RESULTS RESULTS
Among 760,846 patients hospitalized with COVID-19, 214,992 had private insurance, 318,624 had Medicare, 96,192 were dually enrolled in Medicare and Medicaid, 107,548 had Medicaid, and 23,560 had no insurance. Overall, 76,250 died, 211,702 had non-home discharges, 75,703 were mechanically ventilated, and 2,642 underwent ECMO. The adjusted odds of death were higher in patients with Medicare (aOR 1.28; [95% CI: 1.21, 1.35]; P<0.0005), dually enrolled (aOR, 1.39; [1.30, 1.50]; P<0.0005), Medicaid (aOR, 1.28; [1.20, 1.36]; P<0.0005), and no insurance (aOR, 1.43; [1.26, 1.62]; P<0.0005) compared to patients with private insurance. Patients with Medicare (aOR, 0.47; [CI: 0.39, 0.58]; P <0.0005), dually enrolled (aOR, 0.32; [0.24, 0.43]; P<0.0005), Medicaid (aOR, 0.70; [ 0.62, 0.79]; P<0.0005), and no insurance (aOR, 0.40; [0.29, 0.56]; P<0.001] were less likely to be placed on ECMO than patients with private insurance. Mortality, non-home discharges, and ECMO utilization did not change significantly more in patients with private insurance compared to patients without private insurance as the COVID-19 burden increased.
CONCLUSION CONCLUSIONS
Among patients with COVID-19, insurance-based disparities in mortality, non-home discharges, and ECMO utilization were substantial, but these disparities did not increase as the hospital COVID-19 burden increased.

Identifiants

pubmed: 38526387
pii: 139982
doi: 10.1097/ALN.0000000000004985
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

Copyright © 2024 American Society of Anesthesiologists. All Rights Reserved.

Auteurs

Laurent G Glance (LG)

Department of Anesthesiology and Perioperative Medicine, University of Rochester School of Medicine, Rochester, NY.
Department of Public Health Sciences, University of Rochester School of Medicine, Rochester, NY.
RAND Health, RAND, Boston, MA.

Karen E Joynt Maddox (KEJ)

Department of Medicine, Washington University in St. Louis, St. Louis, MO.
Center for Health Economics and Policy at the Institute for Public Health, Washington University in St. Louis, St. Louis, MO.

Michael Mazzeffi (M)

Department of Anesthesiology, University of Virginia School of Medicine, Charlottesville, VA.

Ernie Shippey (E)

Vizient Center for Advanced Analytics, Chicago, Il.

Katherine L Wood (KL)

Department of Surgery (Cardiac), University of Rochester School of Medicine, Rochester, NY.

E Yoko Furuya (EY)

Department of Medicine, Division of Infectious Diseases Columbia University Irving Medical Center, New York, NY.

Patricia W Stone (PW)

Columbia School of Nursing, Center for Health Policy, New York, NY.

Jingjing Shang (J)

Columbia School of Nursing, Center for Health Policy, New York, NY.

Isaac Y Wu (IY)

Department of Anesthesiology and Perioperative Medicine, University of Rochester School of Medicine, Rochester, NY.

Igor Gosev (I)

Department of Surgery (Cardiac), University of Rochester School of Medicine, Rochester, NY.

Stewart J Lustik (SJ)

Department of Anesthesiology and Perioperative Medicine, University of Rochester School of Medicine, Rochester, NY.

Heather L Lander (HL)

Department of Anesthesiology and Perioperative Medicine, University of Rochester School of Medicine, Rochester, NY.

Julie A Wyrobek (JA)

Department of Anesthesiology and Perioperative Medicine, University of Rochester School of Medicine, Rochester, NY.

Andres Laserna (A)

Department of Anesthesiology and Perioperative Medicine, University of Rochester School of Medicine, Rochester, NY.

Andrew W Dick (AW)

RAND Health, RAND, Boston, MA.

Classifications MeSH