Impact of sound levels and patient-related factors on sleep of patients in the intensive care unit: a cross-sectional cohort study

Czempik, Piotr F.; Jarosińska, Agnieszka; Machlowska, Krystyna; Pluta, Michał

doi:10.1038/s41598-020-76314-9

Cited by 8 publications

(8 citation statements)

References 31 publications

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“…Fourthly, the noise that imitates engine sound was not examined. Listening to music is a widely used tool to improve sleep [32], whereas sound levels are negatively correlated with sleep duration in patients in an intensive care unit [33]. Finally, the applicability of results to real-life situations is limited due to the selection of people with good sleep and health in the present experiments.…”

Section: Discussionmentioning

confidence: 93%

Effect of Seat Angle when Sleeping in a Car on Quality of Sleep and Its Impact on Calculation Performance the Following Day

Ogata

Nishikawa

Kayaba

et al. 2022

IJERPH

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The number of occasions to stay in a car overnight is increasing during disasters; however, the effects on sleep and the impact on daytime functioning are not well understood. We investigated the effect of seat angle when sleeping in a car and its impact on calculation performance the following day. Fifteen healthy males participated in three trials (sleeping in a car with the front seat angled at 45° and 60° in a laboratory and sleeping at home); sleep and calculation performance the following day were compared. Increased wake after sleep onset and decreased slow-wave sleep were observed in the 60° trial, that is, near-vertical, compared with the others. Subjective sleep quality and calculation performance in the 45° and 60° trials were poorer than those in the home trial. The effect of seat angle on sleep was confirmed objectively, but not subjectively, suggesting that a large seat angle might cause sleep impairment.

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Section: Discussionmentioning

confidence: 93%

Effect of Seat Angle when Sleeping in a Car on Quality of Sleep and Its Impact on Calculation Performance the Following Day

Ogata

Nishikawa

Kayaba

et al. 2022

IJERPH

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“…Literature studies report average noise values between 46 and 66 dBA, with peaks between 59 and 91 dBA, both in general, surgical, and even SARS-COVID-19 dedicated ICUs, far exceeding the noise levels recommended for hospitals. 10,18,[27][28][29][30][31][32][33][34] Medical devices produce lowfrequency and repetitive sounds, resulting in unavoidable noise 24 h a day. Moreover, most of the noise in the ICU is generated from sources immediately adjacent to the patient's ears, maximizing its adverse effects.…”

Section: Discussionmentioning

confidence: 99%

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

Imbriaco,

Capitano,

Rocchi

et al. 2023

Nursing in Critical Care

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BackgroundNoise 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.

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“…These results support those of Simons et al (2018), who found that noise volume negatively correlated with ICU patients’ self-reported sleep quality [ 30 ]. Further, Czempik et al (2020) found that ICU noise volume was negatively correlated with patients’ sleep time and quality, with 17% of respondents reporting that environmental noise was the main factor affecting their sleep quality [ 31 ]. Chaudhary et al (2020) found that 76.6% of ICU patients ( n = 60) experienced poor sleep and that pain (33.3%), noise (31.7%), and light (3.3%) were the most critical factors [ 32 ].…”

Section: Discussionmentioning

confidence: 99%

Factors Influencing Sleep Quality in Open-Heart Patients in the Postoperative Intensive Care Unit

et al. 2022

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Open-heart patients often experience sleep problems postoperatively. This cross-sectional study is aimed to investigate open-heart patients’ sleep quality and its influencing factors during intensive care. A consecutive sample of 117 eligible open-heart patients was recruited from an intensive care unit (ICU) of a general hospital. Data were collected using questionnaires. The respondents were 22–88 years, with a median age of 60.25 (13.51). Seventy-nine (67.5%) respondents were male. Most respondents reported a low-to-moderate postoperative pain level (average pain score = 2.02; range: 0–10). The average anxiety score was 4.68 (standard deviation [SD] = 4.2), and the average depression score was 6.91 (SD = 4.52; range: 0–21). The average sleep efficiency index was 70.4% (SD = 10.74%). Most (95.7%) respondents had a sleep efficiency index below 85%, indicating that most patients did not sleep well in the ICU. Linear regression analysis showed that the key predictors of the sleep quality of open-heart patients in the ICU were wound pain (β = −1.9) and noise disturbance (β = −1.86). These results provide information on sleep quality and the factors affecting postoperative patients in the ICU. These findings can be used as a reference for developing relevant interventions.

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Impact of sound levels and patient-related factors on sleep of patients in the intensive care unit: a cross-sectional cohort study

Cited by 8 publications

References 31 publications

Effect of Seat Angle when Sleeping in a Car on Quality of Sleep and Its Impact on Calculation Performance the Following Day

Effect of Seat Angle when Sleeping in a Car on Quality of Sleep and Its Impact on Calculation Performance the Following Day

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

Factors Influencing Sleep Quality in Open-Heart Patients in the Postoperative Intensive Care Unit

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