{"title":"2015-2017年宾夕法尼亚州农业致命伤害:两种系统数据收集方法和数据集的比较分析","authors":"Serap Gorucu, Bryan Weichelt, Michael L Pate","doi":"10.13031/jash.13165","DOIUrl":null,"url":null,"abstract":"<p><p>The purpose of this study was to assess and compare 2015-2017 Pennsylvania agricultural fatal injury data and methods from two separate sources: the Pennsylvania Farm Fatality (PA-FF) dataset and the national AgInjuryNews (AIN) dataset. Between January 1, 2015, and December 31, 2017, a total of 104 agricultural fatalities were identified in Pennsylvania across both systems. Differences between the two systems included coding, such as victim age and demographics, as well as inclusion criteria, such as the time between the incident and victim death. Of the 104 agricultural fatalities, 73% were identified through the PA-FF dataset, and 53% were identified through the AIN dataset. AIN included a higher proportion of female victims and roadway incidents, whereas PA-FF included a significantly higher proportion of the identified Anabaptist cases (χ2 = 22.329, df = 2, p < 0.001). Although PA-FF may have an advantage by including death certificates, this study revealed that PA-FF alone missed mortality data and certain risk factors, such as roadway fatalities related to farm equipment. When comparing two datasets, the inclusion criteria should be considered. Supplemental surveillance programs such as these would benefit from a periodic review between two or more datasets to ensure that agricultural fatalities are captured more accurately.</p>","PeriodicalId":45344,"journal":{"name":"Journal of Agricultural Safety and Health","volume":null,"pages":null},"PeriodicalIF":0.9000,"publicationDate":"2019-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.13031/jash.13165","citationCount":"9","resultStr":"{\"title\":\"Fatal Agricultural Injuries in Pennsylvania, 2015-2017: A Comparative Analysis of Two Systems' Data Collection Methods and Datasets.\",\"authors\":\"Serap Gorucu, Bryan Weichelt, Michael L Pate\",\"doi\":\"10.13031/jash.13165\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>The purpose of this study was to assess and compare 2015-2017 Pennsylvania agricultural fatal injury data and methods from two separate sources: the Pennsylvania Farm Fatality (PA-FF) dataset and the national AgInjuryNews (AIN) dataset. Between January 1, 2015, and December 31, 2017, a total of 104 agricultural fatalities were identified in Pennsylvania across both systems. Differences between the two systems included coding, such as victim age and demographics, as well as inclusion criteria, such as the time between the incident and victim death. Of the 104 agricultural fatalities, 73% were identified through the PA-FF dataset, and 53% were identified through the AIN dataset. AIN included a higher proportion of female victims and roadway incidents, whereas PA-FF included a significantly higher proportion of the identified Anabaptist cases (χ2 = 22.329, df = 2, p < 0.001). Although PA-FF may have an advantage by including death certificates, this study revealed that PA-FF alone missed mortality data and certain risk factors, such as roadway fatalities related to farm equipment. When comparing two datasets, the inclusion criteria should be considered. Supplemental surveillance programs such as these would benefit from a periodic review between two or more datasets to ensure that agricultural fatalities are captured more accurately.</p>\",\"PeriodicalId\":45344,\"journal\":{\"name\":\"Journal of Agricultural Safety and Health\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.9000,\"publicationDate\":\"2019-04-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.13031/jash.13165\",\"citationCount\":\"9\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Agricultural Safety and Health\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.13031/jash.13165\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Agricultural Safety and Health","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.13031/jash.13165","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH","Score":null,"Total":0}
引用次数: 9
摘要
本研究的目的是评估和比较2015-2017年宾夕法尼亚州农业致命伤害数据和方法,这些数据和方法来自两个不同的来源:宾夕法尼亚州农场死亡(PA-FF)数据集和国家农业伤害新闻(AIN)数据集。2015年1月1日至2017年12月31日期间,宾夕法尼亚州两个系统共发现104起农业死亡事件。两个系统之间的差异包括编码,如受害者年龄和人口统计数据,以及纳入标准,如事件与受害者死亡之间的时间。在104起农业死亡事件中,73%是通过PA-FF数据集确定的,53%是通过AIN数据集确定的。AIN包含较高比例的女性受害者和道路事故,而PA-FF包含较高比例的再洗礼派病例(χ2 = 22.329, df = 2, p < 0.001)。尽管PA-FF在包含死亡证明方面可能具有优势,但本研究表明,PA-FF本身遗漏了死亡率数据和某些风险因素,如与农用设备相关的道路死亡人数。在比较两个数据集时,应考虑纳入标准。诸如此类的补充监测计划将受益于对两个或多个数据集进行定期审查,以确保更准确地捕获农业死亡人数。
Fatal Agricultural Injuries in Pennsylvania, 2015-2017: A Comparative Analysis of Two Systems' Data Collection Methods and Datasets.
The purpose of this study was to assess and compare 2015-2017 Pennsylvania agricultural fatal injury data and methods from two separate sources: the Pennsylvania Farm Fatality (PA-FF) dataset and the national AgInjuryNews (AIN) dataset. Between January 1, 2015, and December 31, 2017, a total of 104 agricultural fatalities were identified in Pennsylvania across both systems. Differences between the two systems included coding, such as victim age and demographics, as well as inclusion criteria, such as the time between the incident and victim death. Of the 104 agricultural fatalities, 73% were identified through the PA-FF dataset, and 53% were identified through the AIN dataset. AIN included a higher proportion of female victims and roadway incidents, whereas PA-FF included a significantly higher proportion of the identified Anabaptist cases (χ2 = 22.329, df = 2, p < 0.001). Although PA-FF may have an advantage by including death certificates, this study revealed that PA-FF alone missed mortality data and certain risk factors, such as roadway fatalities related to farm equipment. When comparing two datasets, the inclusion criteria should be considered. Supplemental surveillance programs such as these would benefit from a periodic review between two or more datasets to ensure that agricultural fatalities are captured more accurately.