The University of North Carolina at Greensboro.
The University of Alabama.
Workplace Health Saf. 2024 Dec;72(12):520-527. doi: 10.1177/21650799241271139. Epub 2024 Sep 2.
Excessive heat stress led to more than 400 deaths in the United States from 2011 to 2021. Common methods for heat injury prevention revolve around measurements of the environment and fail to account for the unique individual response to stressors.
An observational approach was utilized with nine helicopter-based emergency medical services personnel during emergency flights to compare core temperature readings obtained from an ingestible temperature monitoring pill and the estimated core temperature reading of the Slate Safety Band V2 wearable device. Comparison of data was conducted within Microsoft Excel programming to determine the mean square error (MSE), root mean square error (RMSE), mean absolute error (MAE), mean biased error (MBE), and Bland-Altman plot development.
A significant bias ( = 17.58, < .001) toward the Slate Safety device reading higher with an average difference of -0.48°C (-0.86°F) was found, meaning the average temperature reading is 0.48°C (-0.86°F) higher with the Slate Safety device. A significant correlation of .26 ( < .001) was noted between the ingestible pill and the wearable device with a 95% confidence interval of 0.23 to 0.29. Aggregate core temperature data demonstrated an MSE of 0.43, an RMSE of 0.65, an MAE of 0.54, and an MBE of -0.48.
CONCLUSIONS/APPLICATION TO PRACTICE: The ability to monitor the physiological parameters of a worker remotely adds safety tools relative to the risks of heat stress. The slightly higher reading associated with the Slate Safety wearable device provides an added safety margin to protect our workers.
2011 年至 2021 年,过度的热应激导致美国超过 400 人死亡。预防热损伤的常见方法围绕环境测量展开,未能考虑到个体对应激源的独特反应。
利用九名直升机紧急医疗服务人员在紧急飞行期间的观察方法,比较可摄入温度监测丸获得的核心温度读数和 Slate Safety Band V2 可穿戴设备的估计核心温度读数。在 Microsoft Excel 编程中进行数据比较,以确定均方误差(MSE)、均方根误差(RMSE)、平均绝对误差(MAE)、平均偏差误差(MBE)和 Bland-Altman 图的发展。
Slate Safety 设备读数明显偏高(=17.58,<0.001),平均差值为-0.48°C(-0.86°F),这意味着 Slate Safety 设备的平均温度读数高出 0.48°C(-0.86°F)。可摄入丸和可穿戴设备之间存在显著相关性(r=0.26,<0.001),95%置信区间为 0.23 至 0.29。综合核心温度数据显示 MSE 为 0.43,RMSE 为 0.65,MAE 为 0.54,MBE 为-0.48。
结论/实际应用:能够远程监测工人的生理参数为应对热应激风险增加了安全工具。Slate Safety 可穿戴设备的读数略高,为保护我们的工人提供了额外的安全裕度。