Evidence map›Paper›PMID 40850096›Full record

ArticleApplied ergonomics2025

Exploring the relationship between severity of patient illness and in room primary care nursing time in a medical intensive care unit.

Jung Hyup Kim, Wenbin Guo, Will Mastrantuono, Kangwon Seo

Abstract read
In one paragraph

Article in Applied ergonomics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Jung Hyup KimDepartment of Industrial and Systems Engineering, University of Missouri, Columbia, MO, USA. Electronic address: kijung@missouri.edu.
Wenbin GuoCollege of Medicine, University of Florida, Gainesville, FL, USA.
Will MastrantuonoDepartment of Industrial and Systems Engineering, University of Missouri, Columbia, MO, USA.
Kangwon SeoDepartment of Industrial and Systems Engineering, University of Missouri, Columbia, MO, USA.

Funding

A Next Generation, Low Cost Tracking System for Healthcare Process Validation (2)R44NR015928 · NINR · GAN CORPORATION · PI SCHANTZ, HANS GREGORY · 2019 to 2020
$1.2M
NINR NIH HHS R44 NR015928
6 · The paper itself

Abstract

This study explores a connection between sequential organ failure assessment (SOFA) of patients in a medical intensive care unit (ICU) and primary care nursing time. Although ICU nurses have many responsibilities that impact patient outcomes, little is known about how the severity of a patient's illness influences the time and activities that nurses dedicate to primary care within a medical ICU. Data collection was set for February to April 2020, as suspended on March 11 due to COVID-19. It resumed on July 6, 2020, after clinical research activities were reinstated. We collected data for a time-motion study. We combined the manual observation data with the real-time location data of a Near Field Electromagnetic Ranging (NFER) system to analyze how time is structured in primary care. Our goal was to investigate the impact of a patient's illness severity on how time is allocated in intensive care nursing. Overall, there was no significant difference between February and July in terms of time spent on primary care and peer support activities. However, for specific primary-care tasks, ICU nurses spent less time on patient assessment, patient care, and medication tasks compared to February, significantly more time on patient transport in July. In the February data, we found a significant correlation between the SOFA score and the time devoted to primary care, indicating a meaningful association between patient illness severity and the allocation of nursing time. However, in the July data, no correlation was found between the SOFA score and the time spent on primary care. These findings improve our understanding of the challenges that nurses experience in medical ICU units, emphasizing the necessary adjustments to enhance nursing care.

Indexed as

Critical Care NursingIntensive Care UnitsNursing Staff, HospitalPrimary Care NursingSeverity of Illness IndexAdultCOVID-19FemaleHumansMaleMiddle AgedOrgan Dysfunction ScoresPrimary Health CareSARS-CoV-2Time and Motion StudiesTime FactorsIntensive care unitSeverity of illnessTime-motion study

Identifiers

PMID40850096
PMCPMC12445989

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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.