...
首页> 外文期刊>Accident Analysis & Prevention >Epidemiological data and ranking home and leisure accidents for priority-setting
【24h】

Epidemiological data and ranking home and leisure accidents for priority-setting

机译:流行病学数据和居家和休闲事故的排名,以设定优先级

获取原文
获取原文并翻译 | 示例

摘要

Objective: To determine how to use the multitude of available epidemiological data to rank accidents for prioritisation of prevention. Methods: A stepwise method to rank accidents for priority-setting at any time is proposed. The first step is to determine the overall objectives of injury prevention. Based on these objectives, the relevant epidemiological criteria are determined. These criteria need to be weighed by experts in such a way that these weights can be used for every new cycle of priority-setting. Thus, every time the method is applied: first, the relevant types of accidents are identified; second, the epidemiological criteria are determined per type of accident; and third, the types of accidents are ranked by means of standardised weights per criterion. The proposed indirect method is illustrated by an empirical example. The results were compared with a direct method, i.e. ranking by an expert panel. Remits: In the pilot, we ranked four age groups of victims of a home and leisure accident: 0-4, 4 19 and 20-54 years of age, and victims aged 55 years or older. The resulting rankings differ largely per application; number one are victims older than 55 years or those of 20-54 years. Conclusions: The proposed method enables a structured, transparent way to set priorities for home and leisure accidents. It is a promising method, although further development is clearly necessary, based on the actual application of the model.
机译:目的:确定如何使用大量可用的流行病学数据对事故进行排名,以优先进行预防。方法:提出了一种逐步对事故进行排序的方法,以便在任何时候确定优先级。第一步是确定伤害预防的总体目标。基于这些目标,确定相关的流行病学标准。专家需要权衡这些标准,以使这些权重可用于每个新的优先级设置周期。因此,每次使用该方法时:首先,确定相关的事故类型;其次,根据每种事故确定流行病学标准;第三,通过每个标准的标准化权重对事故类型进行排名。经验示例说明了所提出的间接方法。将结果与直接方法进行比较,即由专家小组进行排名。职权范围:在飞行员中,我们对家庭和休闲事故的受害者的四个年龄组进行了分类:0-4岁,4 19岁和20-54岁,以及55岁以上的受害者。每个应用程序的最终排名差异很大;排名第一的是55岁以上或20-54岁的受害者。结论:所提出的方法提供了一种结构化,透明的方式来设置家庭和休闲事故的优先级。尽管基于模型的实际应用显然需要进一步开发,但这是一种很有前途的方法。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号