Evidence map›Paper›PMID 37642967›Full record

ArticleJAMA network open2023

Triage Procedures for Critical Care Resource Allocation During Scarcity.

Jackson S Ennis, Kirsten A Riggan, Nicholas V Nguyen, Daniel B Kramer, Alexander K Smith, Daniel P Sulmasy, Jon C Tilburt, Susan M Wolf, Erin S DeMartino

Open access · goldAbstract read
In one paragraph

Article in JAMA network open, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
6.8field-weighted citation impact, top 2% of its field
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

13 citing papers in PubMed, 19 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors at 6 institutions in 1 country.

Jackson S EnnisBiomedical Ethics Research Program, Mayo Clinic, Rochester, Minnesota.
Kirsten A RigganBiomedical Ethics Research Program, Mayo Clinic, Rochester, Minnesota.
Nicholas V NguyenBiomedical Ethics Research Program, Mayo Clinic, Rochester, Minnesota.
Daniel B KramerRichard A. and Susan F. Smith Center for Outcomes Research in Cardiology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts.
Alexander K SmithDepartment of Medicine, Division of Geriatrics, University of California, San Francisco.
Daniel P SulmasyDepartments of Medicine and Philosophy, Georgetown University, Washington, DC.
Jon C TilburtBiomedical Ethics Research Program, Mayo Clinic, Rochester, Minnesota.
Susan M WolfUniversity of Minnesota Medical School, Minneapolis.
Erin S DeMartinoBiomedical Ethics Research Program, Mayo Clinic, Rochester, Minnesota.
Mayo Clinic · USDeaconess Hospital · USGeorgetown University · USMayo Clinic in Arizona · USUniversity of California, San Francisco · USUniversity of Minnesota Medical Center · US

Funding

Mentoring Researchers in Prognosis Research in Alzheimer’s Disease and Related DementiasK24AG068312 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Alexander Keliimoeanu Smith · 2020 to 2026
$1.2M
Heterogeneity in US pandemic allocation policies: state-to-state variation, stakeholder insights and implications for older AmericansR03AG073987 · NIA · MAYO CLINIC ROCHESTER · PI DEMARTINO, ERIN S · 2021 to 2022
$318k
NIA NIH HHS K24 AG068312NIA NIH HHS R03 AG073987
6 · The paper itself

Abstract

Importance: During the COVID-19 pandemic, many US states issued or revised pandemic preparedness plans guiding allocation of critical care resources during crises. State plans vary in the factors used to triage patients and have faced criticism from advocacy groups due to the potential for discrimination. Objective: To analyze the role of comorbidities and long-term prognosis in state triage procedures. Design, Setting, and Participants: This cross-sectional study used data gathered from parallel internet searches for state-endorsed pandemic preparedness plans for the 50 US states, District of Columbia, and Puerto Rico (hereafter referred to as states), which were conducted between November 25, 2021, and June 16, 2023. Plans available on June 16, 2023, that provided step-by-step instructions for triaging critically ill patients were categorized for use of comorbidities and prognostication. Main Outcomes and Measures: Prevalence and contents of lists of comorbidities and their stated function in triage and instructions to predict duration of postdischarge survival. Results: Overall, 32 state-promulgated pandemic preparedness plans included triage procedures specific enough to guide triage in clinical practice. Twenty of these (63%) included lists of comorbidities that excluded (11 of 20 [55%]) or deprioritized (8 of 20 [40%]) patients during triage; one state's list was formulated to resolve ties between patients with equal triage scores. Most states with triage procedures (21 of 32 [66%]) considered predicted survival beyond hospital discharge. These states proposed different prognostic time horizons; 15 of 21 (71%) were numeric (ranging from 6 months to 5 years after hospital discharge), with the remaining 6 (29%) using descriptive terms, such as long-term. Conclusions and Relevance: In this cross-sectional study of state-promulgated critical care triage policies, most plans restricted access to scarce critical care resources for patients with listed comorbidities and/or for patients with less-than-average expected postdischarge survival. This analysis raises concerns about access to care during a public health crisis for populations with high burdens of chronic illness, such as individuals with disabilities and minoritized racial and ethnic groups.

Indexed as

AftercareCOVID-19Critical CareCross-Sectional StudiesHumansPandemicsPatient DischargeTriage

Identifiers

PMID37642967
PMCPMC10466166
OpenAlexW4386245301

What OpenQuestion holds

Textmetadata
LicenceCC BY
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 OpenQuestion graph.