Department of Public Health, Brody School of Medicine, East Carolina University, Greenville, North Carolina.
Environmental Health Sciences Program, Department of Health Education and Promotion, East Carolina University, Greenville, North Carolina.
J Occup Environ Hyg. 2020 Apr;17(4):181-192. doi: 10.1080/15459624.2020.1721512. Epub 2020 Feb 27.
Agricultural workers are exposed to heat stress due to spending significant amount of time outdoors. Risk information from mobile apps is more readily available for timely advice on risk management that is crucial in preventing severe acute illnesses and deaths, but its reliability is unknown. The purpose of this study was to determine the reliability of the OSHA-NIOSH Heat Safety Tool mobile app in providing accurate risk information to prevent heat-related illnesses among agricultural workers in eastern North Carolina. Wet bulb globe temperature (WBGT) indices were datalogged at two agricultural sites using heat stress monitors from April-August 2019 and were assigned to risk levels (minimal, low, moderate, high, extreme) by workload (light, moderate, heavy, very heavy) based on the ACGIH Threshold Limit Values (TLVs). Hourly heat index (HI) and its corresponding risk level were obtained using the app. Hourly HI-based risk level assignments were time-matched to their corresponding WBGT-based risk level assignments (682 pairs) and analyzed using cross-tabulation by determining the percentage of hourly WBGT-based risk level assignments ("gold standard") with the same hourly HI-based risk level assignments under different workloads, with a higher percentage indicating higher app reliability. Results showed that the app correctly identified 60-100% of minimal risk conditions, depending on workload type, but its reliability decreased as the heat stress risk condition and workload became more severe. The app identified the majority of low risk conditions for a moderate workload (74%) and moderate risk conditions for a light workload (94%) only, indicating limited use in these specific conditions, while the app identified 0% of either the high risk or extreme risk conditions at any workload type. It is concluded that the performance of the OSHA-NIOSH app in assessing occupational risk to heat stress is not protective of workers particularly for heavy and very heavy workloads, and that the use of the app for the assessment of occupational heat stress risk in agricultural settings is not recommended.
农业工人由于大部分时间在户外工作,因此面临热应激风险。移动应用程序提供的风险信息更便于及时提供风险管理建议,这对于预防严重急性疾病和死亡至关重要,但这些信息的可靠性尚不清楚。本研究旨在确定 OSHA-NIOSH 热安全工具移动应用程序在为北卡罗来纳州东部的农业工人提供准确的风险信息以预防与热相关的疾病方面的可靠性。使用热应激监测器在 2019 年 4 月至 8 月期间在两个农业地点记录湿球黑球温度 (WBGT) 指数,并根据美国工业卫生学家协会 (ACGIH) 阈限值 (TLV) 将工作负荷(轻、中、重、极重)分为风险水平(最小、低、中、高、极高)。使用应用程序获得每小时热指数 (HI) 及其相应的风险水平。将基于每小时 HI 的风险水平分配与基于 WBGT 的风险水平分配(682 对)进行时间匹配,并通过确定在不同工作负荷下基于每小时 WBGT 的风险水平分配与基于每小时 HI 的风险水平分配相同的百分比(“金标准”)进行交叉制表分析,百分比越高表示应用程序的可靠性越高。结果表明,该应用程序在不同工作负荷类型下,正确识别了 60-100%的最小风险条件,但随着热应激风险条件和工作负荷变得更加严重,其可靠性降低。该应用程序仅正确识别了中等工作负荷下的大部分低风险条件(74%)和轻工作负荷下的中等风险条件(94%),表明在这些特定条件下的使用有限,而在任何工作负荷类型下,该应用程序都未识别出高风险或极高风险条件。结论是,OSHA-NIOSH 应用程序在评估职业性热应激风险方面的表现并不能保护工人,特别是对于重负荷和极重负荷,因此不建议在农业环境中使用该应用程序评估职业性热应激风险。