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Increasing chronic disease epidemiology capacity without increasing workforce: a success story in Ohio.

机译:在不增加劳动力的情况下增加慢性病流行病学能力:俄亥俄州的成功案例。

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摘要

In many states the epidemiology capacity of specific chronic disease programs, for example, cardiovascular disease or diabetes, is limited by the skill set of a single epidemiologist who has been assigned to that program. To improve epidemiology support across categorical programs, the Division of Prevention at the Ohio Department of Health initiated a new policy early in 2003 whereby each program epidemiologist is responsible for learning to analyze data from at least two datasets as well as continuing to be the lead data person for his or her program. Now, for each critical dataset at least one epidemiologist is capable of conducting data analysis and providing support to other programs. Without the addition of new epidemiology staff, this policy has enabled the Ohio Department of Health to produce reports that better describe the burden of chronic diseases, make more informed decisions on what populations to target, and plan well-thought-out interventions.
机译:在许多州,特定慢性疾病计划(例如心血管疾病或糖尿病)的流行病学能力受到分配给该计划的单个流行病学家技能的限制。为了在各个分类计划中提高流行病学支持,俄亥俄州卫生部的预防司于2003年初启动了一项新政策,其中每个计划的流行病学家负责学习分析至少两个数据集的数据,并继续作为主要数据计划的人。现在,对于每个关键数据集,至少一名流行病学家能够进行数据分析并为其他程序提供支持。在不增加新的流行病学人员的情况下,这项政策使俄亥俄州卫生局能够生成报告,以更好地描述慢性病的负担,对目标人群做出更明智的决定,并计划周密的干预措施。

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