Studnek Jonathan R, Ferketich Amy, Crawford J Mac
National Registry of Emergency Medical Technicians, Columbus, Ohio 43230, USA.
Am J Ind Med. 2007 Dec;50(12):921-31. doi: 10.1002/ajim.20516.
The objective of this study was to estimate the prevalence and incidence of job-related illness or injury resulting in lost work time among a national cohort of Emergency Medical Services (EMS) professionals. Also, it was hypothesized that individual and work life characteristics were associated with the occurrence of illnesses or injury.
Data for this analysis were obtained from the Longitudinal Emergency Medical Technician Attributes and Demographics Study (LEADS), a prospective study of EMS professionals. The outcome variable of interest was self-reported absence from their EMS job due to an EMS work related illness or injury. The prevalence and incidence of injury with lost work time was estimated using cross-sectional and follow-up data. Multivariable logistic regression analyses were performed to determine if individual and work life characteristics were associated with occupational injury.
The prevalence of job-related illness or injury with time away from work was estimated at 9.4%, while the 1-year incidence was estimated at 8.1 per 100 EMS providers. The results from the logistic regression model fit to follow-up data indicate that increasing call volume (OR=3.12 for very high vs. moderate, 95% CI 1.40-6.97), an urban work environment (OR=2.79, 95% CI 1.65-4.72) and a history of back problems (OR=1.72, 95% CI 1.06-2.78) were associated with reporting job-related illness or injury.
Results from this analysis provide estimates of the prevalence and incidence of on the job illness and injury resulting in lost work time among a national cohort of EMS professionals.
本研究的目的是估计全国急诊医疗服务(EMS)专业人员队列中因工作相关疾病或受伤导致误工的患病率和发病率。此外,研究假设个人和工作生活特征与疾病或受伤的发生有关。
本分析的数据来自急诊医疗技术员纵向属性和人口统计学研究(LEADS),这是一项针对EMS专业人员的前瞻性研究。感兴趣的结果变量是因EMS工作相关疾病或受伤而自我报告的无法从事EMS工作。使用横断面数据和随访数据估计受伤且误工的患病率和发病率。进行多变量逻辑回归分析以确定个人和工作生活特征是否与职业伤害有关。
估计因工作相关疾病或受伤而误工的患病率为9.4%,而1年发病率估计为每100名EMS提供者中有8.1例。拟合随访数据的逻辑回归模型结果表明,呼叫量增加(极高与中等相比,OR = 3.12,95%CI 1.40 - 6.97)、城市工作环境(OR = 2.79,95%CI 1.65 - 4.72)和背部问题史(OR = 1.72,95%CI 1.06 - 2.78)与报告工作相关疾病或受伤有关。
本分析结果提供了全国EMS专业人员队列中因工作相关疾病和受伤导致误工的患病率和发病率估计值。