白噪声应用对重症患者睡眠质量的影响

Abstract

Background

Sleep disturbance negatively affects recovery and survival of patients in intensive care units (ICUs).

Aims and Objectives

This study aimed to measure the noise levels and evaluate the impact of a white noise app on the sleep quality of critically ill patients.

Design

A quasi-experimental time series pre-test–post-test control group design with repeated measures was adopted.

Methods

The study was conducted in the high dependency unit (HDU) of a selected tertiary care hospital in Mangalore, Karnataka State, India. Conscious oriented patients with systolic blood pressure ranging from 100/70 to 140/90 mm Hg and hearing acuity of at most 20 dB in both ears were included in the study. Noise levels in the HDU were measured using calibrated sound level meter on weekdays/weekends in three different shifts and an average of 24 readings was obtained per shift. A 4-point Likert scale was used to assess the sleep quality. The intervention included administration of white noise app twice a day, for three consecutive days by using different masking sounds such as white noise on day 1 which resembles to a humming AC conditioner, pink noise on day 2 which resembles to the sound of ocean waves and brown noise on day 3 which resembles a steady rainfall. The app was used with the help of JBL earphones C10SI an excellent noise cancellation and noise isolating earphone.

Results

Among the 54 subjects, the mean age of the patients was 40.28 years, majority 34 (63%) were males. The noise level in the ICU was more than 60 dB. There was a significant difference in the sleep quality after the application of the white noise app in the experimental group on Day 1 (Z = −3.996; P = .001), Day 2 (Z = −3.302; P = .001), and Day 3 (−2.822; P = .005) compared to the control group.

Conclusion

Adoption of technology driven noise reduction applications would enhance the quality of sleep among the ICU patients.

Relevance to clinical practice

The use of a technology-driven application helps control noise levels which promotes improved sleep quality among critically ill patients in the intensive care units.

摘要翻译（仅供参考）

背景

睡眠障碍会对重症监护病房 (ICU) 中患者的康复和生存产生负面影响。

目的和目标

本研究旨在测量噪声水平并评估白噪声应用程序对危重患者睡眠质量的影响。

设计

采用具有重复测量的准实验时间序列前测-后测控制组设计。

方法

        该研究是在印度卡纳塔克邦芒格洛尔一家选定的三级保健医院的高依赖病房 (HDU) 中进行的。该研究包括有意识的患者，其收缩压范围为 100/70 至 140/90 mmHg，双耳听力最高为 20 dB。HDU 中的噪音水平是在工作日/周末在三个不同班次中使用校准的声级计测量的，每个班次平均获得 24 个读数。使用李克特 4 点量表来评估睡眠质量。干预包括每天两次使用白噪声应用程序，连续三天使用不同的掩蔽声音，例如第 1 天的白噪声，类似于嗡嗡的空调空调，第 2 天的粉红噪音类似于海浪的声音，第 3 天的棕色噪音类似于稳定的降雨。该应用程序在 JBL 耳机 C10SI 的帮助下使用，这是一款出色的噪音消除和噪音隔离耳机。

结果

在 54 名受试者中，患者的平均年龄为 40.28 岁，其中 34 名（63%）为男性。ICU 内的噪音水平超过 60 分贝。实验组在第1天（Z = -3.996; P  = .001），第2天（Z = -3.302; P  = .001）应用白噪声应用程序后的睡眠质量存在显着差异，与 对照组相比，第 3 天（-2.822；P = .005）。

结论

采用技术驱动的降噪应用程序将提高 ICU 患者的睡眠质量。

与临床实践的相关性

使用技术驱动的应用程序有助于控制噪音水平，从而提高重症监护病房危重患者的睡眠质量。

原文链接：

https://doi.org/10.1111/nicc.12742

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