A learning health system approach to the COVID-19 pandemic: System-wide changes in clinical practice and 30-day mortality among hospitalized patients.

dexamethasone regulatory guidelines remdesivir scientific dissemination temporal trends tocilizumab

Journal

Learning health systems
ISSN: 2379-6146
Titre abrégé: Learn Health Syst
Pays: United States
ID NLM: 101708071

Informations de publication

Date de publication:
Jul 2022
Historique:
received: 25 08 2021
revised: 05 01 2022
accepted: 06 01 2022
entrez: 21 7 2022
pubmed: 22 7 2022
medline: 22 7 2022
Statut: epublish

Résumé

Rapid, continuous implementation of credible scientific findings and regulatory approvals is often slow in large, diverse health systems. The coronavirus disease 2019 (COVID-19) pandemic created a new threat to this common "slow to learn and adapt" model in healthcare. We describe how the University of Pittsburgh Medical Center (UPMC) committed to a rapid learning health system (LHS) model to respond to the COVID-19 pandemic. A treatment cohort study was conducted among 11 429 hospitalized patients (pediatric/adult) from 22 hospitals (PA, NY) with a primary diagnosis of COVID-19 infection (March 19, 2020 - June 6, 2021). Sociodemographic and clinical data were captured from UPMC electronic medical record (EMR) systems. Patients were grouped into four time-defined patient "waves" based on nadir of daily hospital admissions, with wave 3 (September 20, 2020 - March 10, 2021) split at its zenith due to high volume with steep acceleration and deceleration. Outcomes included changes in clinical practice (eg, use of corticosteroids, antivirals, and other therapies) in relation to timing of internal system analyses, scientific publications, and regulatory approvals, along with 30-day rate of mortality over time. The mean (SD) daily number of admissions across hospitals was 26 (29) with a maximum 7-day moving average of 107 patients. System-wide implementation of the use of dexamethasone, remdesivir, and tocilizumab occurred within days of release of corresponding seminal publications and regulatory actions. After adjustment for differences in patient clinical profiles over time, each month of hospital admission was associated with an estimated 5% lower odds of 30-day mortality (adjusted odds ratio [OR] = 0.95, 95% confidence interval: 0.93-0.97, In our large LHS, near real-time changes in clinical management of COVID-19 patients happened promptly as scientific publications and regulatory approvals occurred throughout the pandemic. Alongside these changes, patients with COVID-19 experienced lower adjusted 30-day mortality following hospital admission over time.

Identifiants

pubmed: 35860323
doi: 10.1002/lrh2.10304
pii: LRH210304
pmc: PMC9284933
doi:

Types de publication

Journal Article

Langues

eng

Pagination

e10304

Informations de copyright

© 2022 The Authors. Learning Health Systems published by Wiley Periodicals LLC on behalf of University of Michigan.

Déclaration de conflit d'intérêts

None of the authors received any payments or influence from a third‐party source for the work presented, and none report any potential conflicts of interest.

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Auteurs

Erin K McCreary (EK)

Division of Infectious Diseases, Department of Medicine University of Pittsburgh School of Medicine Pittsburgh Pennsylvania USA.

Kevin E Kip (KE)

Health Services Division Clinical Analytics, UPMC Pittsburgh Pennsylvania USA.

J Ryan Bariola (JR)

Division of Infectious Diseases, Department of Medicine University of Pittsburgh School of Medicine Pittsburgh Pennsylvania USA.

Mark Schmidhofer (M)

Division of Cardiology, Dept of Medicine University of Pittsburgh School of Medicine Pittsburgh Pennsylvania USA.

Tami Minnier (T)

Health Services Division UPMC Wolff Center and Quality Offices, UPMC Pittsburgh Pennsylvania USA.

Katelyn Mayak (K)

Media Relations Department UPMC Communications, UPMC Pittsburgh Pennsylvania USA.

Debbie Albin (D)

UPMC Enterprises UPMC Supply Chain Management/HC Pharmacy, UPMC Pittsburgh Pennsylvania USA.

Jessica Daley (J)

UPMC Enterprises UPMC Supply Chain Management/HC Pharmacy, UPMC Pittsburgh Pennsylvania USA.

Kelsey Linstrum (K)

UPMC Health System UPMC Office of Healthcare Innovation Pittsburgh Pennsylvania USA.

Erik Hernandez (E)

Department of Pharmacy UPMC Pinnacle, UPMC Pittsburgh Pennsylvania USA.

Rachel Sackrowitz (R)

Department of Critical Care Medicine University of Pittsburgh School of Medicine Pittsburgh Pennsylvania USA.

Kailey Hughes (K)

Division of Infectious Diseases, Department of Medicine University of Pittsburgh School of Medicine Pittsburgh Pennsylvania USA.

Christopher Horvat (C)

Department of Critical Care Medicine University of Pittsburgh School of Medicine Pittsburgh Pennsylvania USA.
Department of Critical Care Medicine UPMC Children's Hospital of Pittsburgh Pittsburgh Pennsylvania USA.

Graham M Snyder (GM)

Division of Infectious Diseases, Department of Medicine University of Pittsburgh School of Medicine Pittsburgh Pennsylvania USA.

Bryan J McVerry (BJ)

Department of Medicine, Division of Pulmonary Allergy, and Critical Care Medicine Pittsburgh Pennsylvania USA.

Donald M Yealy (DM)

Department of Emergency Medicine University of Pittsburgh School of Medicine Pittsburgh Pennsylvania USA.

David T Huang (DT)

Department of Critical Care Medicine University of Pittsburgh School of Medicine Pittsburgh Pennsylvania USA.
Department of Emergency Medicine University of Pittsburgh School of Medicine Pittsburgh Pennsylvania USA.

Derek C Angus (DC)

UPMC Health System UPMC Office of Healthcare Innovation Pittsburgh Pennsylvania USA.
Department of Critical Care Medicine University of Pittsburgh School of Medicine Pittsburgh Pennsylvania USA.

Oscar C Marroquin (OC)

Health Services Division Clinical Analytics, UPMC Pittsburgh Pennsylvania USA.

Classifications MeSH