Laura Beth Kalvas is a postdoctoral fellow, University of Pennsylvania School of Nursing, Philadelphia, Pennsylvania.
Tondi M. Harrison is an associate professor, The Ohio State University College of Nursing, Columbus, Ohio.
Am J Crit Care. 2024 May 1;33(3):202-209. doi: 10.4037/ajcc2024688.
Sound levels in the pediatric intensive care unit (PICU) are often above recommended levels, but few researchers have identified the sound sources contributing to high levels.
To identify sources of PICU sound exposure.
This was a secondary analysis of continuous bedside video and dosimeter data (n = 220.7 hours). A reliable coding scheme developed to identify sound sources in the adult ICU was modified for pediatrics. Proportions of sound sources were compared between times of high (≥45 dB) and low (<45 dB) sound, during day (7 AM to 6:59 PM) and night (7 PM to 6:59 AM) shifts, and during sound peaks (≥70 dB).
Overall, family vocalizations (38% of observation time, n = 83.9 hours), clinician vocalizations (32%, n = 70.6 hours), and child nonverbal vocalizations (29.4%, n = 64.9 hours) were the main human sound sources. Media sounds (57.7%, n = 127.3 hours), general activity (40.7%, n = 89.8 hours), and medical equipment (31.3%, n = 69.1 hours) were the main environmental sound sources. Media sounds occurred in more than half of video hours. Child nonverbal (71.6%, n = 10.2 hours) and family vocalizations (63.2%, n = 9 hours) were highly prevalent during sound peaks. General activity (32.1%, n = 33.2 hours), clinician vocalizations (22.5%, n = 23.3 hours), and medical equipment sounds (20.6, n = 21.3 hours) were prevalent during night shifts.
Clinicians should partner with families to limit nighttime PICU noise pollution. Large-scale studies using this reliable coding scheme are needed to understand the PICU sound environment.
儿科重症监护病房(PICU)的噪音水平经常高于推荐水平,但很少有研究人员确定导致高水平噪音的声源。
确定 PICU 噪音暴露的来源。
这是对连续床边视频和剂量计数据(n = 220.7 小时)的二次分析。为儿科修改了用于成人 ICU 的可靠编码方案,以识别声源。比较了高(≥45dB)和低(<45dB)噪音、白天(7 点至 6 点 59 分)和夜间(7 点至 6 点 59 分)班次以及噪音峰值(≥70dB)期间的声源比例。
总体而言,家庭发声(观察时间的 38%,n = 83.9 小时)、临床医生发声(32%,n = 70.6 小时)和儿童非语言发声(29.4%,n = 64.9 小时)是主要的人类声源。媒体声音(57.7%,n = 127.3 小时)、一般活动(40.7%,n = 89.8 小时)和医疗设备(31.3%,n = 69.1 小时)是主要的环境声源。媒体声音出现在超过一半的视频时间中。儿童非语言(71.6%,n = 10.2 小时)和家庭发声(63.2%,n = 9 小时)在噪音峰值时非常普遍。一般活动(32.1%,n = 33.2 小时)、临床医生发声(22.5%,n = 23.3 小时)和医疗设备声音(20.6%,n = 21.3 小时)在夜间班次时很普遍。
临床医生应与家属合作,限制夜间 PICU 的噪音污染。需要使用这种可靠的编码方案进行大规模研究,以了解 PICU 的声音环境。