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Predicting temporal trends in total absenteeism rates for civil service employees of a federal public health agency

机译:预测联邦公共卫生机构公务员的总缺勤率的时间趋势

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OBJECTIVE:: This study evaluates the predictability in temporal absences trends due to all causes (total absenteeism) among employees at a federal agency. The objective is to determine how leave trends vary within the year, and determine whether trends are predictable. METHODS:: Ten years of absenteeism data from an attendance system were analyzed for rates of total absence. RESULTS:: Trends over a 10-year period followed predictable and regular patterns during a given year that correspond to major holiday periods. Temporal trends in leave among small, medium, and large facilities compared favorably with the agency as a whole. CONCLUSIONS:: Temporal trends in total absenteeism rates for an organization can be determined using its attendance system. The ability to predict employee absenteeism rates can be extremely helpful for management in optimizing business performance and ensuring that an organization meets its mission.
机译:目的:这项研究评估了联邦机构雇员由于各种原因(完全缺勤)而导致的暂时缺勤趋势的可预测性。目的是确定年假趋势如何变化,并确定趋势是否可预测。方法:分析了来自考勤系统的十年缺勤数据的总缺勤率。结果::十年期间的趋势遵循给定年份中与主要假期相对应的可预测且规律的模式。与整个机构相比,小型,中型和大型机构休假的时间趋势更为有利。结论:可以使用其出勤系统确定组织的总缺勤率的时间趋势。预测员工缺勤率的能力对于管理层优化业务绩效和确保组织实现其使命非常有帮助。

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