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

Article

Jonescu, Emil E., Fareel, Benjamin, Ramanayaka, Chamil Erik, White, Christopher, Costanzo, Giuseppe, Delaney, Lori, Hahn, Rebecca, Ferrier, Janet and Litton, Edward. 2024. "Mitigating Intensive Care Unit Noise: Design-Led Modeling Solutions, Calculated Acoustic Outcomes, and Cost Implications ." Health Environments Research and Design Journal (HERD). 17 (3), pp. 220-238. https://doi.org/10.1177/19375867241237501
Article Title

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

ERA Journal ID123401
Article CategoryArticle
AuthorsJonescu, Emil E., Fareel, Benjamin, Ramanayaka, Chamil Erik, White, Christopher, Costanzo, Giuseppe, Delaney, Lori, Hahn, Rebecca, Ferrier, Janet and Litton, Edward
Journal TitleHealth Environments Research and Design Journal (HERD)
Journal Citation17 (3), pp. 220-238
Number of Pages19
Year2024
PublisherSAGE Publications Ltd
Place of PublicationUnited States
ISSN1937-5867
Digital Object Identifier (DOI)https://doi.org/10.1177/19375867241237501
Web Address (URL)https://journals.sagepub.com/doi/10.1177/19375867241237501
Abstract

Objectives, Purpose, or Aim:
The 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.
Background:
Recognizing 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.
Methods:
A 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.
Results:
Utilizing 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.
Conclusions:
This 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.

Keywordsintensive care unit (ICU); sleep; noise; acoustic; design; hospital; healthcare
Contains Sensitive ContentDoes not contain sensitive content
ANZSRC Field of Research 20203399. Other built environment and design
4205. Nursing
Byline AffiliationsEdith Cowan University
Hames Sharley, Australia
Gabriels Hearne Farrell, Australia
Central Queensland University
Sage Quantity Surveyors, Australia
University of Queensland
Australian National University
Harry Perkins Institute of Medical Research, Australia
University of Western Australia
Fiona Stanley Hospital, Australia
St John of God Health Care, Australia
University of Western Sydney
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