Evidence map›Paper›PMID 32695999›Full record

ArticleCritical care explorations2020

Design for Implementation of a System-Level ICU Pandemic Surge Staffing Plan.

Gavin H Harris, Marie R Baldisseri, Benjamin R Reynolds, Antoinette S Orsino, Rachel Sackrowitz, Jonathan M Bishop

Open access · goldAbstract read
In one paragraph

Article in Critical care explorations, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
7.0field-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

14 citing papers in PubMed, 41 citations in OpenAlex.

  1. Article
  2. Flow-Sizing Critical Care Resources.Critical care medicine · 2023
    Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Considerations for acute care staffing during a pandemic.Best practice & research. Clinical anaesthesiology · 2021
    Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. Infection Prevention and Control for ICU during COVID-19 Pandemic: Position Paper of the Indian Society of Critical Care Medicine.Indian journal of critical care medicine : peer-reviewed, official publication of Indian Society of Critical Care Medicine · 2020
    Review
  14. Article
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

6 authors at 1 institution in 1 country.

Gavin H HarrisDepartment of Critical Care Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA.
Marie R BaldisseriDepartment of Critical Care Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA.
Benjamin R ReynoldsDepartment of Surgery, Division of Trauma and Acute Care Surgery, University of Pittsburgh Medical Center, Pittsburgh, PA.
Antoinette S OrsinoDepartment of Anesthesiology, University of Pittsburgh School of Medicine, Pittsburgh, PA.
Rachel SackrowitzDepartment of Critical Care Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA.
Jonathan M BishopDepartment of Critical Care Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA.
University of Pittsburgh · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe current coronavirus disease 2019 pandemic is causing significant strain on ICUs worldwide. Initial and subsequent regional surges are expected to persist for months and potentially beyond. As a result of this, as well as the fact that ICU provider staffing throughout the United States currently operate at or near capacity, the risk for severe and augmented disruption in delivery of care is very real. Thus, there is a pressing need for proactive planning for ICU staffing augmentation, which can be implemented in response to a local surge in ICU volumes.

methodsWe provide a description of the design, dissemination, and implementation of an ICU surge provider staffing algorithm, focusing on physicians, advanced practice providers, and certified registered nurse anesthetists at a system-wide level.

resultsThe protocol was designed and implemented by the University of Pittsburgh Medical Center's Integrated ICU Service Center and was rolled out to the entire health system, a 40-hospital system spanning Pennsylvania, New York, and Maryland. Surge staffing models were developed using this framework to assure that local needs were balanced with system resource supply, with rapid enhancement and expansion of tele-ICU capabilities.

conclusionsThe ICU pandemic surge staffing algorithm, using a tiered-provider strategy, was able to be used by hospitals ranging from rural community to tertiary/quaternary academic medical centers and adapted to meet specific needs rapidly. The concepts and general steps described herein may serve as a framework for hospital and other hospital systems to maintain staffing preparedness in the face of any form of acute patient volume surge.

Indexed as

advanced practice providerscoronavirus disease 2019disasterpandemicstaffingworkforce

Identifiers

PMID32695999
PMCPMC7314315
OpenAlexW3036212959

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.