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“最后一刻”的捐赠会影响遗体捐献计划中的精算预测。

'Last-minute' donations influence actuarial prediction in an anatomical body donation program.

机构信息

Department of Economics and Econometrics, University of Groningen, Groningen, The Netherlands.

出版信息

Ann Anat. 2010 Feb 20;192(1):2-6. doi: 10.1016/j.aanat.2009.09.001. Epub 2009 Oct 7.

Abstract

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.

摘要

背景

在美国和欧洲的一些大学,解剖学课程因缺乏解剖标本而面临威胁。相比之下,荷兰格罗宁根大学医学中心(UMCG)的注册人数近年来大幅增加。由于未受控制的尸体注册和越来越多的外来尸体,各机构纷纷敦促停止登记。这通常是临时进行的,因为迄今为止还没有分析结果可以预测停止登记的后果,导致对未来来尸数量或短缺的不确定性。

方法

UMCG 拥有一个由两个不同数据集组成的数据库:已注册的潜在尸体捐赠者和已故尸体捐赠者的记录。该数据库目前包含 2357 名潜在尸体捐赠者和 1363 名已故尸体捐赠者。这些数据被纳入了一个精算预测模型中。

发现

在 2003-2008 年间注册的人中,有相当一部分(平均 29%)在注册后 1 年内死亡,似乎做出了“最后一刻”的捐赠决定。最后一刻的注册者中男性明显多于女性(n=155 比 n=85,p<0.01%)。这一新信息极大地影响了最终的建模。与死亡率的标准模型一致,我们可以根据精算预测来构建未来 5 年来来尸数量的预测,并通过部分登记停止来协调这些数字。

结论

本研究首次提供了一种方法,可以根据精算预测可靠地预测未来 5 年内遗体捐赠计划的来尸数量,并通过部分登记停止来协调这些数量。

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