Fusch Gerhard, Mohamed Saber, Bakry Ahmad, Li Edward W, Dutta Sourabh, Helou Salhab El, Fusch Christoph
Department of Pediatrics, Division of Neonatology, McMaster University, 1280 Main Street West, L8S 4K1, Hamilton, ON, Canada.
Department of Mechanical Engineering, McMaster University, Hamilton, Canada.
Eur J Pediatr. 2024 Mar;183(3):1245-1254. doi: 10.1007/s00431-023-05335-z. Epub 2023 Dec 14.
Reorganization of neonatal intensive care by introducing clinical microsystems may help to allocate nursing time more appropriately to the needs of patients. However, there is concern that cohorting infants according to acuity may enhance noise levels. This single-center study investigated the impact of reorganization of neonatal intensive care unit by implementing clinical microsystems in a Level III NICU on environmental noise. This prospective study measured 24-h noise levels over a period of 6 months during pre- and post-implementation of microsystems cohorting infants of similar acuity. Comparative analyses of the mixed acuity (i.e., before) and the cohorting (i.e., after) model were performed by creating daily profiles from continuous noise level measurements and calculating the length of exposure to predefined noise levels. Compared to baseline daytime measurements, noise levels were 3-6 dBA higher during physician handover. Noise levels were 2-3 dBA lower on weekends and 3-4 dBA lower at night, independent of the organizational model. The introduction of clinical microsystems slightly increased average noise levels for high-acuity pods (A and B) but produced a much more substantial decrease for low-acuity pods (E), leading to an overall reduction in unit-wide noise levels. Conclusion: Our data show that noise levels are more driven by human behavior than by technical devices. Implementation of microsystems may help to reduce noise exposure in the lower acuity pods in a NICU. What is Known: • Excessive noise levels can lead to adverse effects on the health and development of premature infants and other critically ill newborns. • The reorganization of the neonatal intensive care unit following the clinical microsystems principles might improve quality of care but also affect noise exposure of staff and patients. What is New: • The transition from a mixed -acuity to cohorting model is associated with an overall reduction in noise levels, particularly in low-acuity pods requiring less nursing care. • Nevertheless, baseline noise levels in both models exceeded the standard permissible limits.
通过引入临床微系统来重组新生儿重症监护可能有助于根据患者需求更合理地分配护理时间。然而,有人担心根据病情严重程度对婴儿进行分组可能会提高噪音水平。这项单中心研究调查了在三级新生儿重症监护病房(NICU)实施临床微系统对新生儿重症监护病房重组后环境噪音的影响。这项前瞻性研究在微系统实施前后的6个月内,测量了病情相似的婴儿分组期间24小时的噪音水平。通过对连续噪音水平测量创建每日概况并计算暴露于预定义噪音水平的时长,对混合病情(即之前)和分组(即之后)模式进行了比较分析。与基线白天测量值相比,医生交接班期间噪音水平高3 - 6分贝。无论采用何种组织模式,周末噪音水平低2 - 3分贝,夜间低3 - 4分贝。临床微系统的引入使高病情分组(A组和B组)的平均噪音水平略有增加,但低病情分组(E组)的噪音水平大幅下降,导致全病房噪音水平总体降低。结论:我们的数据表明,噪音水平更多地受人类行为而非技术设备驱动。微系统的实施可能有助于降低NICU中低病情分组的噪音暴露。已知信息:• 过高的噪音水平会对早产儿和其他危重新生儿的健康与发育产生不利影响。• 遵循临床微系统原则对新生儿重症监护病房进行重组可能会提高护理质量,但也会影响医护人员和患者的噪音暴露。新发现:• 从混合病情模式向分组模式的转变与噪音水平总体降低相关,尤其是在护理需求较少的低病情分组中。• 然而,两种模式下的基线噪音水平均超过了标准允许限值。