Evidence map›Paper›PMID 33082198›Full record

ArticleBMJ open2020

Rapid ethnographic assessment of the COVID-19 pandemic April 2020 'surge' and its impact on service delivery in an Acute Care Medical Emergency Department and Trauma Center.

Lawrence A Palinkas, Lauren Whiteside, Deepika Nehra, Allison Engstrom, Mark Taylor, Kathleen Moloney, Douglas F Zatzick

Abstract read
In one paragraph

Article in BMJ open, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
–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

21 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Lawrence A PalinkasSuzanne Dworak-Peck School of Social Work, University of Southern California, Los Angeles, California, USA palinkas@usc.edu.
Lauren WhitesideEmergency Medicine, University of Washington School of Medicine, Seattle, Washington, USA.
Deepika NehraSurgery, University of Washington School of Medicine, Seattle, Washington, USA.
Allison EngstromPsychiatry & Behavioral Sciences, University of Washington School of Medicine, Seattle, Washington, USA.
Mark TaylorDivision of Trauma, Burn and Critical Care Surgery, Harborview Medical Center, Seattle, Washington, USA.
Kathleen MoloneyPsychiatry & Behavioral Sciences, University of Washington School of Medicine, Seattle, Washington, USA.
Douglas F ZatzickPsychiatry & Behavioral Sciences, University of Washington School of Medicine, Seattle, Washington, USA.ORCID 0000-0001-7339-1020

Funding

NIH Health Care Systems Research Collaboratory-Coordinating Center (U24)U24AT009676 · NCCIH · DUKE UNIVERSITY · PI LESLEY H CURTIS, Adrian Hernandez · 2017 to 2026
$21.5M
National Survey of State Policy Decision-making and SimulationP50MH113662 · NIMH · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI HOAGWOOD, KIMBERLY E. · 2019 to 2022
$6.9M
A Policy Relevant US Trauma Care System Pragmatic Trial for PTSD and ComorbidityUH3MH106338 · NIMH · UNIVERSITY OF WASHINGTON · PI ZATZICK, DOUGLAS F · 2015 to 2018
$5.5M
A Policy Relevant US Trauma Care System Pragmatic Trial for PTSD and ComorbidityUH2MH106338 · NIMH · UNIVERSITY OF WASHINGTON · PI ZATZICK, DOUGLAS F · 2014 to 2014
$782k
NCCIH NIH HHS U24 AT009676NIMH NIH HHS P50 MH113662NIMH NIH HHS UH2 MH106338NIMH NIH HHS UH3 MH106338
6 · The paper itself

Abstract

objectivesAssess the impacts of the COVID-19 pandemic on service delivery by frontline healthcare providers in acute care medical and emergency department settings and identify strategies used to cope with pandemic-related physical and mental health demands.

designRapid clinical ethnography of patient-provider encounters during an initial pandemic 'surge' conducted by a team of clinician-researchers using a structured protocol for qualitative data collection and analysis.

settingLevel 1 trauma centre at Harborview Hospital in Seattle Washington in April 2020.

participantsFrontline clinical providers serving as participant observers during performance of their clinical duties recorded observations and summaries of conversations with other providers and patients.

resultsWe identified four different kinds of impacts: procedural, provider, patient and overall. Each impact highlighted two or more levels of a socioecological model of services delivery: (1) the epidemiology of COVID-19, (2) outer setting, (3) inner or organisational setting and (4) individual patient and provider. Despite significant changes in procedures that included COVID-19 screening of all admitted patients, social distancing and use of personal protective equipment, as well as changes in patient and provider behaviour, the overall impact of the pandemic on the emergency department and acute care service delivery was minimal. This is attributed to having a smaller surge than expected, a quick response by the healthcare system to anticipated demands for service delivery and protection of patients and providers, adequate supplies and high provider morale.

conclusionsAlthough limited to one setting in one healthcare system in one community, the findings offer some important lessons for healthcare systems that have yet to be impacted as well as systems that have been more severely impacted. Each of the socioecological framework levels was found to impact service delivery to patients, and variations at each of these levels account for variations in that quality of care globally.

Indexed as

Attitude of Health PersonnelBetacoronavirusPandemicsQualitative ResearchCoronavirus InfectionsCOVID-19Emergency Service, HospitalHumansPneumonia, ViralSARS-CoV-2Trauma CentersWashingtonaccident & emergency medicineadult psychiatryinfectious diseasesorthopaedic & trauma surgerypublic healthtrauma management

Identifiers

PMID33082198
PMCPMC7577068

What Socratic holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

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 Socratic graph.