Evidence map›Paper›PMID 41228156›Full record

ArticleHealthcare (Basel, Switzerland)2025

Perceived Noise Sources and Their Association with Nurses' Health and Work Performance in Intensive Care Units: A Multicenter Study.

Biljana Filipović, Tea Bernardić, Snježana Čukljek, Adriano Friganović, Danijela Kundrata, Sanja Ledinski

Abstract read
In one paragraph

Article in Healthcare (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

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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

2 citing papers in PubMed.

  1. 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

6 authors.

Biljana FilipovićDepartment of Nursing, University of Applied Health Sciences, 10000 Zagreb, Croatia.ORCID 0000-0001-9669-9829
Tea BernardićDepartment of Anesthesiology, Reanimatology and Intensive Care, University Hospital Centre Osijek, 31000 Osijek, Croatia.
Snježana ČukljekDepartment of Nursing, University of Applied Health Sciences, 10000 Zagreb, Croatia.ORCID 0000-0002-6435-5818
Adriano FriganovićDepartment of Nursing, University of Applied Health Sciences, 10000 Zagreb, Croatia.ORCID 0000-0002-9528-6464
Danijela KundrataDepartment of Quality Assurance and Health Care Improvement, General Hospital "Dr. Ivo Pedišić", 44000 Sisak, Croatia.
Sanja LedinskiDepartment of Nursing, University of Applied Health Sciences, 10000 Zagreb, Croatia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundModern healthcare environments expose staff to various occupational stressors, with noise being among the most common and harmful stressors. In intensive care units (ICUs), both patients and nurses are frequently exposed to unsafe noise levels, which can adversely affect well-being, recovery, and work performance.

objectiveThis study aimed to identify sources of noise and their adverse effects from the perspective of ICU nurses, and to examine associations between noise perception, demographic and job-related variables, and outcomes across four domains: subjective, emotional, physiological, and work performance.

methodsA cross-sectional study was conducted from February to September 2023 among 100 ICU nurses employed in three Croatian hospitals: Zagreb, Pula and Slavonski Brod. Data were collected using a validated three-part questionnaire and analyzed with descriptive and inferential statistics.

resultsNurses reported that monitor and ventilator alarms were the most prominent sources of internal noise. Noise perception within and outside ICUs differed significantly depending on the type of institution, ICU, and number of beds (

conclusionsNoise in ICUs poses a health risk to both patients and nurses, impairing well-being and work performance. Implementing effective noise reduction strategies should be prioritized in critical care settings.

Indexed as

intensive care unitnoisenurseswork performance

Identifiers

PMID41228156
PMCPMC12609748

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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.