首页> 外文期刊>Annals of anatomy =: Anatomischer Anzeiger : official organ of the Anatomische Gesellschaft >'Last-minute' donations influence actuarial prediction in an anatomical body donation program.
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'Last-minute' donations influence actuarial prediction in an anatomical body donation program.

机译:“最近”捐赠会影响人体解剖捐赠计划中的精算预测。

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BACKGROUND: At some American and European universities the dissection program is threatened by a shortage of anatomical specimens. In contrast, the annual numbers of registrations at the University Medical Center Groningen (UMCG) in the Netherlands increased substantially in recent years. Uncontrolled body registrations and an increasing number of incoming bodies urge institutes to halt registration. This is usually carried out on an ad hoc basis because to date no analyses were available to predict the consequences of such a stop, resulting in uncertainty about the number of incoming bodies or a shortage. METHODS: The UMCG holds a database consisting of two different data sets: registered potential body donors and records of deceased body donors. This database currently consists of 2357 potential body donors and 1363 deceased body donors. These data were incorporated in an actuarial predictive model. FINDINGS: A substantial number (on average 29%) of the persons registered between 2003-2008 died within 1 year after registration and seemed to have made a 'last-minute' donation decision. Last-minute registrations are significantly more likely to be males than females (n=155 vs. n=85, p<0.01%). This new information markedly influenced final modeling. In coherence with standard models of mortality, it was possible to construct a prediction for the incoming bodies for the coming years. CONCLUSIONS: The present study provides the first method to reliably model the number of incoming deceased donors of a body donation program for 5 years based on actuarial predictions, and to orchestrate these numbers by partial donor registration stops.
机译:背景:在一些美国和欧洲的大学中,解剖计划受到解剖标本短缺的威胁。相反,近年来,荷兰格罗宁根大学医学中心(UMCG)的年度注册数量大幅增加。不受控制的机构注册和越来越多的入境机构敦促机构停止注册。这通常是临时执行的,因为迄今为止尚无分析方法可以预测这种停止的后果,从而导致进来的物体数量不确定或短缺。方法:UMCG拥有一个包含两个不同数据集的数据库:已注册的潜在身体捐赠者和已故身体捐赠者的记录。该数据库目前由2357位潜在的身体捐赠者和1363位已故的身体捐赠者组成。这些数据被纳入精算预测模型。结果:在2003年至2008年之间注册的人员中,有相当数量的人(平均29%)在注册后的一年内死亡,并且似乎做出了“最后一刻”的捐赠决定。最后一刻登记的男性明显多于女性(n = 155 vs. n = 85,p <0.01%)。这些新信息显着影响了最终建模。与标准的死亡率模型相一致,有可能对未来几年的来袭尸体进行预测。结论:本研究提供了第一种方法,以精算预测为基础,可靠地模拟了过去5年内身体捐赠计划中已故死亡捐赠者的数量,并通过部分捐赠者停止登记来协调这些数字。

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