Evidence map›Paper›PMID 33826584›Full record

Observational studyCritical care medicine2021

Variation in Initial U.S. Hospital Responses to the Coronavirus Disease 2019 Pandemic.

Kusum S Mathews, Kevin P Seitz, Kelly C Vranas, Abhijit Duggal, Thomas S Valley, Bo Zhao, Stephanie Gundel, Michael O Harhay, Steven Y Chang, Catherine L Hough and 1 more

Abstract readObservational Study
In one paragraph

Observational study in Critical care medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

29 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Guideline
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  8. Experiences of U.S. frontline physicians during the COVID-19 pandemic: a qualitative study.Archives of public health = Archives belges de sante publique · 2025
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors.

Kusum S MathewsDivision of Pulmonary, Critical Care, and Sleep Medicine, Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY.
Kevin P SeitzDivision of Pulmonary, Allergy, and Critical Care Medicine, Department of Medicine, Vanderbilt University, Nashville, TN.
Kelly C VranasDivision of Pulmonary, Critical Care, and Sleep Medicine, Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY.
Abhijit DuggalDepartment of Critical Care, Respiratory Institute, Cleveland Clinic, Cleveland, OH.
Thomas S ValleyDivision of Pulmonary, Critical Care, and Sleep Medicine, Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY.
Bo ZhaoDepartment of Geography, University of Washington, Seattle, WA.
Stephanie GundelDepartment of Emergency Medicine, University of Washington, Seattle, WA.
Michael O HarhayDepartment of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA.
Steven Y ChangDivision of Pulmonary and Critical Care Medicine, Department of Medicine, David Geffen School of Medicine at UCLA, Ronald Reagan-UCLA Medical Center, Los Angeles, CA.
Catherine L HoughDivision of Pulmonary and Critical Care, Department of Medicine, Oregon Health & Science University, Portland, OR.
National Heart, Lung, and Blood Institute Prevention and Early Treatment of Acute Lung Injury (PETAL) Clinical Trials Network

Funding

CCC for NHLBI Prevention and Early Treatment of Acute Lung Injury PETAL NetworkU01HL123009 · NHLBI · MASSACHUSETTS GENERAL HOSPITAL · PI FOULKES, ANDREA S, THOMPSON, BOYD TAYLOR · 2014 to 2021
$67.2M
The Vanderbilt Institute for Clinical and Translational Research (VICTR)UL1TR000445 · NCATS · VANDERBILT UNIVERSITY MEDICAL CENTER · PI BERNARD, GORDON RAPHAEL · 2012 to 2016
$41.4M
Clinical Centers (CC) for the NHLBI Prevention and Early Treatment of Acute LungU01HL123022 · NHLBI · BETH ISRAEL DEACONESS MEDICAL CENTER · PI SHAPIRO, NATHAN I, TALMOR, DANIEL STUART · 2014 to 2020
$2.9M
Prevention and Early Treatment of Acute Lung InjuryU01HL123004 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI MATTHAY, MICHAEL A. · 2014 to 2020
$2.6M
Clinical Centers (CC) for the NHLBI Prevention and Early Treatment of Acute LungU01HL123031 · NHLBI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI HYZY, ROBERT C, PARK, PAULINE K · 2014 to 2020
$2.6M
Enhancing the Surrogate Informed Consent Process for Critical Care ResearchU01HL123010 · NHLBI · UNIVERSITY OF COLORADO DENVER · PI GINDE, ADIT A., MOSS, MARC · 2014 to 2020
$2.6M
Prevention and Early Treatment of Acute Lung Injury Clinical Trials NetworkU01HL123033 · NHLBI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI RICE, TODD W · 2014 to 2020
$2.4M
Preventive and Early Treatment of Acute Lung Injury Clinical Trials Network- Pgh - SupplementU01HL123020 · NHLBI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI ANGUS, DEREK C, YEALY, DONALD M · 2014 to 2020
$2.4M
Long Term Outcomes and Macrophage Biology in Patients with EVALIU01HL123018 · NHLBI · IHC HEALTH SERVICES, INC. · PI BLEDSOE, JOSEPH R, BROWN, SAMUEL MORRIS · 2014 to 2020
$2.4M
Pacific Northwest Clinical Center for the NHLBI PETAL NetworkU01HL123008 · NHLBI · UNIVERSITY OF WASHINGTON · PI HOUGH, CATHERINE LEE, ROBINSON, BRYCE · 2014 to 2020
$2.3M
Acute Lung Injury Group New England Program to Support PETAL Network ResearchU01HL122989 · NHLBI · BAYSTATE MEDICAL CENTER, INC. · PI STEINGRUB, JAY S · 2014 to 2020
$2.2M
Einstein PETAL: Clinical Center for the PETAL NetworkU01HL122998 · NHLBI · ALBERT EINSTEIN COLLEGE OF MEDICINE, INC · PI GONG, MICHELLE NG, RICHARDSON, LYNNE D. · 2014 to 2020
$1.9M
AHRQ HHS R01 HS028038HSRD VA IK2 HX003005NCATS NIH HHS UL1 TR000445NHLBI NIH HHS K23 HL130648NHLBI NIH HHS K23 HL140165NHLBI NIH HHS K24 HL141526NHLBI NIH HHS R00 HL141678NHLBI NIH HHS U01 HL122989NHLBI NIH HHS U01 HL122998NHLBI NIH HHS U01 HL123004NHLBI NIH HHS U01 HL123008NHLBI NIH HHS U01 HL123009NHLBI NIH HHS U01 HL123010NHLBI NIH HHS U01 HL123018NHLBI NIH HHS U01 HL123020NHLBI NIH HHS U01 HL123022NHLBI NIH HHS U01 HL123023NHLBI NIH HHS U01 HL123027NHLBI NIH HHS U01 HL123031NHLBI NIH HHS U01 HL123033
6 · The paper itself

Abstract

objectivesThe coronavirus disease 2019 pandemic has strained many healthcare systems. In response, U.S. hospitals altered their care delivery systems, but there are few data regarding specific structural changes. Understanding these changes is important to guide interpretation of outcomes and inform pandemic preparedness. We sought to characterize emergency responses across hospitals in the United States over time and in the context of local case rates early in the coronavirus disease 2019 pandemic.

designWe surveyed hospitals from a national acute care trials group regarding operational and structural changes made in response to the coronavirus disease 2019 pandemic from January to August 2020. We collected prepandemic characteristics and changes to hospital system, space, staffing, and equipment during the pandemic. We compared the timing of these changes with county-level coronavirus disease 2019 case rates. SETTING AND

participantsU.S. hospitals participating in the Prevention and Early Treatment of Acute Lung Injury Network Coronavirus Disease 2019 Observational study. Site investigators at each hospital collected local data.

interventionsNone. MEASUREMENTS AND MAIN

resultsForty-five sites participated (94% response rate). System-level changes (incident command activation and elective procedure cancellation) occurred at nearly all sites, preceding rises in local case rates. The peak inpatient census during the pandemic was greater than the prior hospital bed capacity in 57% of sites with notable regional variation. Nearly half (49%) expanded ward capacity, and 63% expanded ICU capacity, with nearly all bed expansion achieved through repurposing of clinical spaces. Two-thirds of sites adapted staffing to care for patients with coronavirus disease 2019, with 48% implementing tiered staffing models, 49% adding temporary physicians, nurses, or respiratory therapists, and 30% changing the ratios of physicians or nurses to patients.

conclusionsThe coronavirus disease 2019 pandemic prompted widespread system-level changes, but front-line clinical care varied widely according to specific hospital needs and infrastructure. Linking operational changes to care delivery processes is a necessary step to understand the impact of the coronavirus disease 2019 pandemic on patient outcomes.

Indexed as

HospitalsCOVID-19Critical CareDelivery of Health CareHospital Bed CapacityHumansIntensive Care UnitsSARS-CoV-2Surge CapacitySurveys and QuestionnairesUnited StatesWorkforce

Identifiers

PMID33826584
PMCPMC8217146

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.