Relationship between noise levels and intensive care patients' clinical complexity: An observational simulation study

Author:

Imbriaco Guglielmo12ORCID,Capitano Martina3,Rocchi Margherita4,Suhan Aglaia5,Tacci Alice6,Monesi Alessandro27ORCID,Sebastiani Stefano28ORCID,Samolsky Dekel Boaz Gedaliahu289ORCID

Affiliation:

1. Centrale Operativa 118 Emilia Est, Prehospital Emergency Dispatch Center, Helicopter Emergency Medical Service, Maggiore Hospital Carlo Alberto Pizzardi Bologna Italy

2. Critical Care Nursing Master Course University of Bologna Bologna Italy

3. Emergency Department Maggiore Hospital Carlo Alberto Pizzardi, Azienda USL di Bologna Bologna Italy

4. Intensive Care Unit, Nuovo San Giovanni di Dio hospital, AUSL Toscana Centro Florence Italy

5. Medical Department (COVID‐19), Madre Teresa di Calcutta hospital Padova Italy

6. Neonatal Intensive Care Unit, Maggiore Hospital, AOU Parma Parma Italy

7. Intensive Care Unit, Maggiore hospital Carlo Alberto Pizzardi, Azienda USL di Bologna Bologna Italy

8. IRCCS Azienda Ospedaliero‐Universitaria di Bologna Bologna Italy

9. Department of Medical and Surgical Sciences (DIMEC) University of Bologna Bologna Italy

Abstract

AbstractBackgroundNoise pollution in intensive care units is a relevant problem, associated with psychological and physiological consequences for patients and healthcare staff. Sources of noise pollution include medical equipment, alarms, communication tools, staff activities, and conversations.AimTo explore the cumulative effects of noise caused by an increasing number and type of medical devices in an intensive care setting on simulated patients with increasing clinical complexity. Secondly, to measure medical device alarms and nursing activities' sound levels, evaluating their role as potentially disruptive noises.Study DesignObservational simulation study (reported according to the STROBE checklist). Using an electronic sound meter, the sound levels of an intensive care room in seven simulated clinical scenarios were measured on a single day (09 March 2022), each featuring increasing numbers of devices, hypothetically corresponding to augmented patients' clinical complexity. Secondly, noise levels of medical device alarms and specific nursing activities performed at a distance of three meters from the sound meter were analysed.ResultsThe empty room's mean baseline noise level was 37.8 (±0.7) dBA; among the simulated scenarios, noise ranged between 45.3 (±1.0) and 53.5 (±1.5) dBA. Alarms ranged between 76.4 and 81.3 dBA, while nursing tasks (closing a drawer, opening a saline bag overwrap, or sterile packages) and speaking were all over 80 dBA. The noisiest activity was opening a sterile package (98 dBA).ConclusionAn increased number of medical devices, an expression of patients' higher clinical complexity, is not a significant cause of increased noise. Some specific nursing activities and conversations produce higher noise levels than medical devices and alarms. This study's findings suggest further research to assess the relationships between these factors and to encourage adequate noise reduction strategies.Relevance to Clinical PracticeExcessive noise level in the intensive care unit is a clinical issue that negatively affects patients' and healthcare providers' well‐being. The increase in baseline room noise from medical devices is generally limited. Typical nursing tasks and conversations produce higher noise levels than medical devices and alarms. These findings could be helpful to raise awareness among healthcare professionals to recognize noise sources. The noisiest components of the environment can be modified by staff behaviour, promoting noise reduction strategies and improving the critical care environment.

Publisher

Wiley

Subject

Critical Care Nursing

Reference42 articles.

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2. Noise in the ICU

3. Environmental Protection Agency (EPA).Information on levels of environmental noise requisite to protect public health and welfare with an adequate margin of safety;1974.https://nepis.epa.gov/Exe/ZyPDF.cgi/2000L3LN.PDF?Dockey=2000L3LN.PDF(Accessed January 15 2022).

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