Literature DB >> 25234986

Analysis of the soundscape in an intensive care unit based on the annotation of an audio recording.

Munhum Park1, Armin Kohlrausch1, Werner de Bruijn1, Peter de Jager2, Koen Simons2.   

Abstract

The acoustic environments in hospitals, particularly in intensive care units (ICUs), are characterized by frequent high-level sound events which may negatively affect patient outcome. Many studies performed acoustic surveys, but the measurement protocol was not always reported in detail, and the scope of analysis was limited by the selected mode of sound level meters. Fewer studies systematically investigated the noise sources in ICUs by employing an observer in the patient room, which may potentially bias the measurement. In the current study, the soundscape of an ICU was evaluated where acoustic parameters were extracted from a ∼67-h audio recording, and a selected 24-h recording was annotated off-line for a source-specific analysis. The results showed that the patient-involved noise accounted for 31% of the acoustic energy and 11% of the predicted loudness peaks (PLPs). Excluding the patient-involved noise, the remaining acoustic energy was attributed to staff members (57%), alarms (30%), and the operational noise of life-supporting devices (13%). Furthermore, the contribution of each noise category to the PLPs was found to be more uneven: Staff (92%), alarms (6%), and device noise (2%). The current study suggests that most of the noise sources in ICUs may be associated with modifiable human factors.

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Year:  2014        PMID: 25234986     DOI: 10.1121/1.4868367

Source DB:  PubMed          Journal:  J Acoust Soc Am        ISSN: 0001-4966            Impact factor:   1.840


  7 in total

1.  A targeted noise reduction observational study for reducing noise in a neonatal intensive unit.

Authors:  S Chawla; P Barach; M Dwaihy; D Kamat; S Shankaran; B Panaitescu; B Wang; G Natarajan
Journal:  J Perinatol       Date:  2017-06-15       Impact factor: 2.521

2.  Can ICUs create more sleep by creating less noise?

Authors:  Biren B Kamdar; Koen S Simons; Peter E Spronk
Journal:  Intensive Care Med       Date:  2019-10-25       Impact factor: 17.440

3.  The influence of APACHE II score on the average noise level in an intensive care unit: an observational study.

Authors:  Munhum Park; Pieter Vos; Björn N S Vlaskamp; Armin Kohlrausch; Annemarie W Oldenbeuving
Journal:  BMC Anesthesiol       Date:  2015-03-31       Impact factor: 2.217

4.  Noise pollution in the ICU: time to look into the mirror.

Authors:  Koen S Simons; Munhum Park; Armin Kohlrausch; Mark van den Boogaard; Peter Pickkers; Werner de Bruijn; Cornelis P C de Jager
Journal:  Crit Care       Date:  2014-08-27       Impact factor: 9.097

5.  Associations between stressors and difficulty sleeping in critically ill patients admitted to the intensive care unit: a cohort study.

Authors:  Roberto Carlos Miranda-Ackerman; Mariana Lira-Trujillo; Alma Carolina Gollaz-Cervantez; Ana Olivia Cortés-Flores; Carlos José Zuloaga-Fernández Del Valle; Luis Alberto García-González; Gilberto Morgan-Villela; Francisco José Barbosa-Camacho; Kevin Josue Pintor-Belmontes; Bertha Georgina Guzmán-Ramírez; Aldo Bernal-Hernández; Clotilde Fuentes-Orozco; Alejandro González-Ojeda
Journal:  BMC Health Serv Res       Date:  2020-07-09       Impact factor: 2.655

6.  Prospective repeated assessment of self-reported sleep quality and sleep disruptive factors in the intensive care unit: acceptability of daily assessment of sleep quality.

Authors:  Ghaida Alsulami; Ann Marie Rice; Lisa Kidd
Journal:  BMJ Open       Date:  2019-06-20       Impact factor: 2.692

7.  Noise in the intensive care unit and its influence on sleep quality: a multicenter observational study in Dutch intensive care units.

Authors:  Koen S Simons; Eva Verweij; Paul M C Lemmens; Sam Jelfs; Munhum Park; Peter E Spronk; Johannes P C Sonneveld; Hilde-Marieken Feijen; Marijke S van der Steen; Armin G Kohlrausch; Mark van den Boogaard; Cornelis P C de Jager
Journal:  Crit Care       Date:  2018-10-05       Impact factor: 9.097

  7 in total

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