Evidence map›Paper›PMID 34074710›Full record

ArticleHospital pediatrics2021

Physiologic Monitor Alarm Burden and Nurses' Subjective Workload in a Children's Hospital.

Irit R Rasooly, Andrew S Kern-Goldberger, Rui Xiao, Siddarth Ponnala, Halley Ruppel, Brooke Luo, Sansanee Craig, Amina Khan, Melissa McLoone, Daria Ferro and 3 more

Abstract read
In one paragraph

Article in Hospital pediatrics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 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

13 authors.

Irit R RasoolySection of Pediatric Hospital Medicine rasoolyi@chop.edu.
Andrew S Kern-GoldbergerSection of Pediatric Hospital Medicine.
Rui XiaoBiostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania; and.
Siddarth PonnalaHealthcare Quality and Analytics.
Halley RuppelDivision of Research, Kaiser Permanente Northern California, Oakland, California.
Brooke LuoSection of Pediatric Hospital Medicine.
Sansanee CraigDepartments of Biomedical and Health Informatics.
Amina KhanHealthcare Quality and Analytics.
Melissa McLooneNursing Practice and Education, Children's Hospital of Philadelphia, Philadelphia.
Daria FerroSection of Pediatric Hospital Medicine.
Naveen MuthuSection of Pediatric Hospital Medicine.
James WonDepartments of Pediatrics.
Christopher P BonafideSection of Pediatric Hospital Medicine.

Funding

Pediatric patient safety learning laboratory to re-engineer continuous physiologic monitoring systemsR18HS026620 · AHRQ · CHILDREN'S HOSP OF PHILADELPHIA · PI BONAFIDE, CHRISTOPHER PETER · 2018 to 2021
$2.4M
AHRQ HHS R18 HS026620
6 · The paper itself

Abstract

BACKGROUND AND

objectivesPhysiologic monitor alarms occur at high rates in children's hospitals; ≤1% are actionable. The burden of alarms has implications for patient safety and is challenging to measure directly. Nurse workload, measured by using a version of the National Aeronautics and Space Administration Task Load Index (NASA-TLX) validated among nurses, is a useful indicator of work burden that has been associated with patient outcomes. A recent study revealed that 5-point increases in the NASA-TLX score were associated with a 22% increased risk in missed nursing care. Our objective was to measure the relationship between alarm count and nurse workload by using the NASA-TLX.

methodsWe conducted a repeated cross-sectional study of pediatric nurses in a tertiary care children's hospital to measure the association between NASA-TLX workload evaluations (using the nurse-validated scale) and alarm count in the 2 hours preceding NASA-TLX administration. Using a multivariable mixed-effects regression accounting for nurse-level clustering, we modeled the adjusted association of alarm count with workload.

resultsThe NASA-TLX score was assessed in 26 nurses during 394 nursing shifts over a 2-month period. In adjusted regression models, experiencing >40 alarms in the preceding 2 hours was associated with a 5.5 point increase (95% confidence interval 5.2 to 5.7;

conclusionAlarm count in the preceding 2 hours is associated with a significant increase in subjective nurse workload that exceeds the threshold associated with increased risk of missed nursing care and potential patient harm.

Indexed as

Clinical AlarmsNursesChildCross-Sectional StudiesHospitals, PediatricHumansWorkload

Identifiers

PMID34074710
PMCPMC8478695

What OpenQuestion holds

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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.