Yoder A M, Murphy D J
Agricultural and Biological Engineering Department, Purdue University, USA.
J Agric Saf Health. 2000 Feb;6(1):71-80. doi: 10.13031/2013.2913.
The Farm and Agricultural Injury Classification (FAIC) code was developed specifically to identify and classify all agricultural injuries of interest to agricultural safety and health professionals. The FAIC code overcomes fundamental problems of classifying agricultural-related injuries by grouping incidents into categories describing actual exposures encountered on farms and in agricultural work. The successful application of the FAIC code depends largely on a researcher's ability to obtain appropriate information to correctly use the code. The purpose of this research project was to: (1) compare data obtained through a newly developed FAIC follow-up questionnaire (FQ) with data from the Penn State Agricultural Injury Database (AID); and (2) test FAIC Code utility, reliability, and construct validity with agricultural safety and health professionals. The FQ improved classification of 57% of cases in the Penn State AID. A majority of agricultural health and safety professionals understood and used the FAIC coding system, without training, to code an average of 75% of the test cases the same as the researcher. A large majority of the professionals that participated in this study judged the FAIC code and the accompanying materials to be very useful.
农场与农业伤害分类（FAIC）代码是专门为识别和分类农业安全与健康专业人员所关注的所有农业伤害而制定的。FAIC代码通过将事故分组到描述农场和农业工作中实际接触情况的类别中，克服了对与农业相关伤害进行分类的基本问题。FAIC代码的成功应用在很大程度上取决于研究人员获取适当信息以正确使用该代码的能力。本研究项目的目的是：（1）将通过新开发的FAIC后续调查问卷（FQ）获得的数据与宾夕法尼亚州立大学农业伤害数据库（AID）的数据进行比较；（2）与农业安全与健康专业人员一起测试FAIC代码的实用性、可靠性和结构效度。FQ改进了宾夕法尼亚州立大学AID中57%病例的分类。大多数农业健康与安全专业人员在未经培训的情况下理解并使用FAIC编码系统，对平均75%的测试病例编码方式与研究人员相同。参与本研究的绝大多数专业人员认为FAIC代码及相关材料非常有用。
