Evidence map›Paper›PMID 33149827›Full record

ArticleJournal of graduate medical education2020

I-PASS Illness Severity Identifies Patients at Risk for Overnight Clinical Deterioration.

Chirayu Shah, Khaled Sanber, Rachael Jacobson, Bhavika Kaul, Sarah Tuthill, Vagish Hemmige, Elizabeth Guy, Stephen Greenberg

Abstract read
In one paragraph

Article in Journal of graduate medical education, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
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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

8 authors.

Chirayu Shah
Khaled Sanber
Rachael Jacobson
Bhavika Kaul
Sarah Tuthill
Vagish Hemmige
Elizabeth Guy
Stephen Greenberg

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe I-PASS framework is increasingly being adopted for patient handoffs after a recent study reported a decrease in medical errors and preventable adverse events. A key component of the I-PASS handoff included assignment of illness severity.

objectiveWe evaluated whether illness severity categories can identify patients at higher risk of overnight clinical deterioration as defined by activation of the rapid response team (RRT).

methodsThe I-PASS handoff documentation created by internal medicine residents and patient charts with overnight RRT activations from April 2016 through March 2017 were reviewed retrospectively. The RRT activations, illness severity categories, vital signs prior to resident handoff, and patient outcomes were evaluated.

resultsOf the 28 235 written patient handoffs reviewed, 1.3% were categorized as

conclusionsThe illness severity component of the I-PASS handoff can identify patients at higher risk of overnight clinical deterioration and has the potential to help the overnight residents prioritize patient care.

Indexed as

Clinical DeteriorationSeverity of Illness IndexCohort StudiesHospital MortalityHospital Rapid Response TeamHospitals, CountyHumansInternal MedicineInternship and ResidencyPatient HandoffRetrospective StudiesTexas

Identifiers

PMID33149827
PMCPMC7594794

What OpenQuestion holds

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Registered trials

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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.