Evidence map›Paper›PMID 41982755›Full record

ReviewCritical care research and practice2026

Noise in the Intensive Care Unit: A Narrative Review of Its Characteristics, Clinical Impact, and Reduction Strategies.

Charikleia S Vrettou, Panagiotis T Koliotsis, Spyretta Golemati, Giorgos Mastorakis, Vassiliki Karaviti, Sofia Mavromati, Maria Tagara, Maria P Papadopoulou, Ioanna Dimopoulou

Abstract readReview
In one paragraph

Review in Critical care research and practice, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

9 authors.

Charikleia S VrettouFirst Department of Critical Care Medicine, Evangelismos Hospital, Medical School, National & Kapodistrian University of Athens, Athens, 10676, Greece, uoa.gr.ORCID https://orcid.org/0000-0002-1067-8849
Panagiotis T KoliotsisLaboratory of Physical Geography and Environmental Impacts, School of Rural, Surveying and Geoinformatics Engineering, National Technical University of Athens, Zografou Campus, Athens 15780, Greece, ntua.gr.
Spyretta GolematiFirst Department of Critical Care Medicine, Evangelismos Hospital, Medical School, National & Kapodistrian University of Athens, Athens, 10676, Greece, uoa.gr.
Giorgos MastorakisFirst Department of Critical Care Medicine, Evangelismos Hospital, Medical School, National & Kapodistrian University of Athens, Athens, 10676, Greece, uoa.gr.
Vassiliki KaravitiFirst Department of Critical Care Medicine, Evangelismos Hospital, Medical School, National & Kapodistrian University of Athens, Athens, 10676, Greece, uoa.gr.
Sofia MavromatiFirst Department of Critical Care Medicine, Evangelismos Hospital, Medical School, National & Kapodistrian University of Athens, Athens, 10676, Greece, uoa.gr.
Maria TagaraFirst Department of Critical Care Medicine, Evangelismos Hospital, Medical School, National & Kapodistrian University of Athens, Athens, 10676, Greece, uoa.gr.
Maria P PapadopoulouLaboratory of Physical Geography and Environmental Impacts, School of Rural, Surveying and Geoinformatics Engineering, National Technical University of Athens, Zografou Campus, Athens 15780, Greece, ntua.gr.
Ioanna DimopoulouFirst Department of Critical Care Medicine, Evangelismos Hospital, Medical School, National & Kapodistrian University of Athens, Athens, 10676, Greece, uoa.gr.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aims: Noise in the intensive care unit (ICU) is an environmental stressor affecting both patients and healthcare professionals. This narrative review synthesizes evidence from over 2 decades of research regarding ICU noise levels, sources, acoustic characteristics, and clinical impact. Design: Narrative review. Data Sources: A literature search was conducted in PubMed for studies published between January 2000 and July 2025. Search terms included combinations of ICU, intensive care, noise, sound levels, alarm fatigue, acoustic environment, delirium, sleep disruption, burnout, and hospital design. Reference lists of relevant reviews and original studies were screened. Review Methods: Eligible publications included original research, simulation studies, systematic reviews, clinical guidelines, and qualitative reports focusing on adult ICUs. Only English-language studies were included. Data were narratively synthesized to describe noise levels, sources, impacts, and mitigation strategies. Results: Sound levels in most ICUs routinely exceed 55-60 dBA, with peak levels often surpassing 85-90 dBA-far above World Health Organization recommendations. Common noise sources include medical equipment alarms, staff activity, and environmental design features such as open layouts and reflective surfaces. Acoustic characteristics such as unpredictability and poor nighttime attenuation amplify stress. In patients, noise contributes to sleep fragmentation, circadian disruption, increased sedation needs, delirium, and adverse psychological outcomes. Among staff, excessive noise impairs communication, increases cognitive load, and contributes to fatigue and burnout. While various architectural, behavioral, and bundled interventions have shown promise, most demonstrate limited long-term effectiveness. Conclusion: Despite clear guidelines, ICU noise remains inadequately managed due to systemic barriers, including cultural norms, infrastructural constraints, and a lack of enforcement.

Indexed as

environmental exposureintensive care unitsnoisepatient safetyworkplace safety

Identifiers

PMID41982755
PMCPMC13071535

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.