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使用一款新型智能手机应用程序来追踪新生儿救护车转运期间的噪音和振动暴露情况。

Using a novel smartphone app to track noise and vibration exposure during neonatal ambulance transport.

作者信息

Partridge Tom, Leslie Andrew, Mistry Aarti, Simpson Rosalind B, Morris David E, McNally Donal, Crowe John, Sharkey Don

机构信息

Faculty of Engineering, University of Nottingham, Nottingham, UK.

Centre for Perinatal Research, University of Nottingham, School of Medicine, Nottingham, UK.

出版信息

Arch Dis Child Fetal Neonatal Ed. 2025 Jun 19;110(4):395-400. doi: 10.1136/archdischild-2024-327758.

Abstract

OBJECTIVE

To assess the utility of a bespoke smartphone app to map noise and vibration exposure across neonatal road ambulance journeys.

DESIGN AND SETTING

Prospective observational study of ambulance journeys across a large UK neonatal transport service. Smartphones, with an in-house developed app, were secured to incubator trolleys to collect vibration and noise data for comparison with international standards. A case study exploring alternative routes between hospitals was undertaken.

RESULTS

Over a 12-month period, the app was used to collect data from 1487 interhospital journeys totalling 81 925 km. Noise positively correlated with increasing vehicle speed. Noise exposure never fell below the recommended 45 dB(A) threshold for neonatal patients and exceeded 70 dB(A) for more than 60% of the time. During patient transfers, vibration would be classed as uncomfortable for healthy adults for 68% of journeys. Comparison of 111 journeys on two different routes between the same hospitals demonstrated significantly lower vibration exposure depending on the road type. Safe levels of adult vibration exposure were exceeded on 19% of non-motorway and 3% of motorway journeys between the two hospitals. Vibration and noise levels were significantly higher on concrete compared with asphalt road surface.

CONCLUSIONS

It is feasible for neonatal teams to collect detailed route, vibration and noise exposure data using a calibrated smartphone and bespoke app. Collecting large amounts of data and providing live measures to teams could help quantify excessive exposures and guide reduction strategies of these environmental stressors for the benefit of babies, staff and equipment.

摘要

目的

评估一款定制的智能手机应用程序在绘制新生儿公路救护车行程中的噪声和振动暴露情况方面的效用。

设计与背景

对英国一家大型新生儿运输服务机构的救护车行程进行前瞻性观察研究。将安装有内部开发应用程序的智能手机固定在保温箱推车上,以收集振动和噪声数据,与国际标准进行比较。开展了一项案例研究,探索医院之间的替代路线。

结果

在12个月的时间里,该应用程序用于收集1487次医院间行程的数据,总行程达81925公里。噪声与车速增加呈正相关。新生儿患者的噪声暴露从未低于推荐的45分贝(A)阈值,超过70分贝(A)的时间超过60%。在患者转运过程中,68%的行程中振动对健康成年人来说会被归类为不舒服。对同两家医院之间两条不同路线上的111次行程进行比较,结果表明,根据道路类型不同,振动暴露显著降低。在两家医院之间的非高速公路行程中,19%的行程以及高速公路行程中3%的行程超过了成人振动暴露的安全水平。与柏油路面相比,混凝土路面上的振动和噪声水平明显更高。

结论

新生儿团队使用经过校准的智能手机和定制应用程序收集详细的路线、振动和噪声暴露数据是可行的。收集大量数据并向团队提供实时测量结果有助于量化过度暴露,并指导减少这些环境压力源的策略,以造福婴儿、工作人员和设备。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2543/12229049/c43cbd32546c/fetalneonatal-110-4-g001.jpg

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