Marchetti Aurora, Mantovani Jessica, Di Lallo D, Di Napoli A, Guasticchi Gabriella
Laziosanità--Agenzia di Sanità Pubblica della Regione Lazio, Roma.
Med Lav. 2011 Nov-Dec;102(6):473-83.
Prevention of work-related accidents requires an in-depth epidemiological assessment of the issue. In Italy the most used databases are from the national insurance (INAIL) and research (ISPESL) institutes. However, these data are only available several years after the time of accident.
To describe the characteristics of accidents and evaluate factors potentially associated with hospitalization using the Information System of Hospital Emergency Departments (SIES).
We analyzed 51.705 Emergency Department (ED) work-related accident admissions in the Lazio Region of Italy in 2008 among workers aged 16-65 years. Information on socio-demographics, diagnosis, triage codes, and outcome of ED admissions were gathered. We performed a logistic regression model to estimate association between these factors and risk of hospitalization after ED admission.
The subjects' mean age was 39.1 (SD 11.0); 71.5% woere men, 12.7% were foreigners, 5.9% arrived by ambulance, 4.5% with triage red/yellow tags, 2.7% were hospitalized. Diagnosis was trauma in 85.1%, orthopaedic lesions in 8.3%. We found a higher risk of hospitalization in subjects with: one year of age increase (OR=1.02; 95% CIs: 1.01-1.03), males (OR=1.68; 95% CIs: 1.44-1.97), foreigners coming from countries with high emigration rates (OR=1.55; 95% CIs: 1.31-1.82), ED triage red/yellow tags (OR=84.47; 95% CIs: 47.06-151.60).
It was confirmed that data fr-om an emergency health care information system can be a useful complement to information gathered by national insurance and research institutes, thus resolving the limit posed by the delay in availability for analysis of these data after the occurrence of accidents. We also identified some factors potentially associated with more serious accidents, which constitute a basis for planning and implementing specific public health preventive interventions.
预防与工作相关的事故需要对该问题进行深入的流行病学评估。在意大利,最常用的数据库来自国家保险(意大利国家工伤事故保险协会)和研究(国家职业卫生与安全研究所)机构。然而,这些数据在事故发生几年后才可得。
使用医院急诊科信息系统(SIES)描述事故特征并评估与住院相关的潜在因素。
我们分析了2008年意大利拉齐奥地区16至65岁工人中51705例与工作相关的急诊科事故入院病例。收集了社会人口统计学、诊断、分诊代码和急诊科入院结局等信息。我们进行了逻辑回归模型以估计这些因素与急诊科入院后住院风险之间的关联。
受试者的平均年龄为39.1岁(标准差11.0);71.5%为男性,12.7%为外国人,5.9%由救护车送来,4.5%有分诊红/黄标签,2.7%住院。诊断为创伤的占85.1%,骨科损伤的占8.3%。我们发现以下受试者住院风险较高:年龄每增加一岁(比值比=1.02;95%置信区间:1.01-1.03)、男性(比值比=1.68;95%置信区间:1.44-1.97)、来自高移民率国家的外国人(比值比=1.55;95%置信区间:1.31-1.82)、急诊科分诊红/黄标签(比值比=84.47;95%置信区间:47.06-151.60)。
证实了来自紧急医疗保健信息系统的数据可以作为国家保险和研究机构收集信息的有益补充,从而解决事故发生后这些数据延迟可供分析所带来的限制。我们还确定了一些与更严重事故潜在相关的因素,这构成了规划和实施特定公共卫生预防干预措施的基础。