Data processing and case identification in an agricultural and logging morbidity surveillance study: Trends over time.
Data processing and case identification in an agricultural and logging morbidity surveillance study: Trends over time.
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农业和伐木发病率监测研究中的数据处理和病例识别：随时间的趋势。
DOI：
10.1002/ajim.22751
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发表时间：
2017
影响因子：
3.5
通讯作者：
Jenkins,Paul
中科院分区：
文献类型：
--
作者：
Scott,Erika;Bell,Erin;Krupa,Nicole;Hirabayashi,Liane;Jenkins,Paul
背景农业和伐木是危险的行业，尽管有致命伤害的数据，但对非致命伤害的了解较少。建立非致命性伤害监测系统是当务之急。结果在缅因州和新罕布夏州，我们使用院前护理报告的自由文本和位置代码，以及医院ICD-9-CM外部伤害原因代码，创建了一个跟踪农场和伐木伤害的监测系统。农业工人伤害发生率为12.4/1000，伐木工人为10.4/1000~12.2/1000。这一系统仅限于对其进行医疗治疗的创伤性损伤，并受到编码和拼写准确性的限制。这一系统具有可持续和低成本的潜力。
BackgroundAgriculture and logging are dangerous industries, and though data on fatal injury exists, less is known about non‐fatal injury. Establishing a non‐fatal injury surveillance system is a top priority. Pre‐hospital care reports and hospitalization data were explored as a low‐cost option for ongoing surveillance of occupational injury.MethodsUsing pre‐hospital care report free‐text and location codes, along with hospital ICD‐9‐CM external cause of injury codes, we created a surveillance system that tracked farm and logging injuries.ResultsIn Maine and New Hampshire, 1585 injury events were identified (2008‐2010). The incidence of injuries was 12.4/1000 for agricultural workers, compared to 10.4/1000 to 12.2/1000 for logging workers.ConclusionsThese estimates are consistent with other recent estimates. This system is limited to traumatic injury for which medical treatment is administered, and is limited by the accuracy of coding and spelling. This system has the potential to be both sustainable and low cost.