Evidence map›Paper›PMID 38512990›Full record

ArticleHERD2024

Mitigating Intensive Care Unit Noise: Design-Led Modeling Solutions, Calculated Acoustic Outcomes, and Cost Implications.

Emil E Jonescu, Benjamin Farrel, Chamil Erik Ramanayaka, Christopher White, Giuseppe Costanzo, Lori Delaney, Rebecca Hahn, Janet Ferrier, Edward Litton

Open access · hybridAbstract read
In one paragraph

Article in HERD, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
4.2field-weighted citation impact, top 6% of its field
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

6 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. Article
  5. Article
  6. Article
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 at 5 institutions in 1 country.

Emil E JonescuHames Sharley, Perth, Western Australia, Australia.ORCID 0000-0002-3508-406X
Benjamin FarrelGabriels Hearn Farrell Pty Ltd, South Perth, Western Australia, Australia.
Chamil Erik RamanayakaCentral Queensland University, School of Engineering and Technology, Brisbane, Queensland, Australia.
Christopher WhiteHames Sharley, Perth, Western Australia, Australia.
Giuseppe CostanzoSage Quantity Surveyors, Perth, Western Australia, Australia.
Lori DelaneySchool of Nursing, Midwifery and Social Work, University of Queensland, St Lucia, Brisbane, Queensland, Australia.
Rebecca HahnHeart and Lung Research Institute of WA, Harry Perkins Institute of Medical Research, Murdoch, Western Australia, Australia.
Janet FerrierIntensive Care Unit, St. John of God Hospital, Subiaco, Western Australia, Australia.
Edward LittonIntensive Care Unit, St. John of God Hospital, Subiaco, Western Australia, Australia.
St John of God Subiaco Hospital · AUAustralian National University · AUCentral Queensland University · AUEdith Cowan University · AUThe University of Western Australia · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

OBJECTIVES, PURPOSE, OR

aimThe study aimed to decrease noise levels in the ICU, anticipated to have adverse effects on both patients and staff, by implementing enhancements in acoustic design.

backgroundRecognizing ICU noise as a significant disruptor of sleep and a potential hindrance to patient recovery, this study was conducted at a 40-bed ICU in Fiona Stanley Hospital in Perth, Australia.

methodsA comprehensive mixed-methods approach was employed, encompassing surveys, site analysis, and acoustic measurements. Survey data highlighted the importance of patient sleep quality, emphasizing the negative impact of noise on work performance, patient connection, and job satisfaction. Room acoustics analysis revealed noise levels ranging from 60 to 90 dB(A) in the presence of patients, surpassing sleep disruption criteria.

resultsUtilizing an iterative 3D design modeling process, the study simulated significant acoustic treatment upgrades. The design integrated effective acoustic treatments within patient rooms, aiming to reduce noise levels and minimize transmission to adjacent areas. Rigorous evaluation using industry-standard acoustic software highlights the design's efficacy in reducing noise transmission in particular. Additionally, cost implications were examined, comparing standard ICU construction with acoustically treated options for new construction and refurbishment projects.

conclusionsThis study provides valuable insights into design-based solutions for addressing noise-related challenges in the ICU. While the focus is on improving the acoustic environment by reducing noise levels and minimizing transmission to adjacent areas. It is important to clarify that direct measurements of patient outcomes were not conducted. The potential impact of these solutions on health outcomes, particularly sleep quality, remains a crucial aspect for consideration.

Indexed as

AcousticsHospital Design and ConstructionIntensive Care UnitsNoiseHumansModels, TheoreticalNoise, OccupationalPatients' RoomsSleepSurveys and Questionnairesacousticdesignhealthcarehospitalintensive care unit (ICU)noisesleep

Identifiers

PMID38512990
PMCPMC11457460
OpenAlexW4393028765

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.