从单一因果关系到多重因果关系:以全面的视角理解死亡。

IF 3.6 3区 医学 Q1 HEALTH CARE SCIENCES & SERVICES
Peter Harteloh
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引用次数: 0

摘要

死因统计是卫生政策和医学研究的一个古老信息来源。在这些统计中,数据的呈现是基于一个基本死因的想法,即每个死者的一个("the")死因。这种想法反映了 18 世纪的因果思维,越来越不适用于高收入国家的当代死亡模式,因为这些国家的人口老龄化,在生命的最后阶段患有慢性疾病和多种或多种并发症。因此,当今的临床现实要求对死因统计进行创新。为此,我将考虑当代因果关系哲学思想及其在死亡中的应用。我将论证多重因果关系比单一因果关系更能全面地理解死亡,这意味着需要改变对当前死因统计的看法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
From mono to multi-causality: Towards a comprehensive perspective on understanding death

Cause-of-death statistics are an age-old source of information for health policy and medical research. In these statistics, the presentation of data is based on the idea of an underlying cause of death, i.e. one (“the”) cause of death per deceased. This idea reflects an 18th Century causal thinking and is less and less applicable to contemporary patterns of dying in high income countries with an aging population suffering from chronic diseases and multi- or comorbidity at the end of life. Therefore, today's clinical reality calls for an innovation of cause-of-death statistics. For this, I will consider contemporary philosophical ideas on causality and their application to death. I will argue multi-causality is a more comprehensive way to understand death than mono-causality, implying a change of perspective with regard to current cause-of-death statistics.

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来源期刊
Health Policy
Health Policy 医学-卫生保健
CiteScore
6.40
自引率
6.10%
发文量
157
审稿时长
3-8 weeks
期刊介绍: Health Policy is intended to be a vehicle for the exploration and discussion of health policy and health system issues and is aimed in particular at enhancing communication between health policy and system researchers, legislators, decision-makers and professionals concerned with developing, implementing, and analysing health policy, health systems and health care reforms, primarily in high-income countries outside the U.S.A.
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