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年龄在分配医疗保健资源中的重要性:干预类型重要吗?

The importance of age in allocating health care resources: does intervention-type matter?

作者信息

Johri Mira, Damschroder Laura J, Zikmund-Fisher Brian J, Ubel Peter A

机构信息

SOLIDAGE -- McGill University, Université de Montréal Research Group on Integrated Services for Older Persons, Canada.

出版信息

Health Econ. 2005 Jul;14(7):669-78. doi: 10.1002/hec.958.

Abstract

BACKGROUND

Recent proposals to reform cost-effectiveness analysis (CEA) by weighting health benefits [(Quality-adjusted life-years) QALYs] by recipients' age are based on studies examining age-related preferences in life-saving contexts. We investigated whether the perceived importance of age in resource allocation decisions differs among intervention-types.

METHODS

160 individuals were recruited from a cafeteria of a university medical centre and asked to choose between hypothetical health care programmes. Scenario A described two programmes treating life-threatening conditions and Scenario B two programmes providing palliative care. Programmes were identical except in average patient age (35 versus 65). Respondents also directly rated the importance of age for allocating resources for six types of interventions.

RESULTS

Responses for the life-saving scenario favoured younger age groups while those for the palliative care scenario showed no age preference. The difference between scenarios was statistically significant. When directly rating the importance of age in allocating treatment resources, people placed greatest importance on age in treating infertility and life-saving, and least importance in treating depression.

DISCUSSION

The importance people place on age as a resource allocation criterion depends on the clinical context. As QALYs serve as a common measure of health benefits for all intervention types, age weighting of QALYs is premature.

摘要

背景

最近有关通过按接受者年龄对健康效益(质量调整生命年,QALYs)进行加权来改革成本效益分析(CEA)的提议,是基于在挽救生命背景下研究年龄相关偏好的研究。我们调查了在资源分配决策中年龄的感知重要性在不同干预类型之间是否存在差异。

方法

从一所大学医学中心的自助餐厅招募了160名个体,要求他们在假设的医疗保健方案之间进行选择。情景A描述了两个治疗危及生命疾病的方案,情景B描述了两个提供姑息治疗的方案。除了平均患者年龄(35岁对65岁)不同外,各方案完全相同。受访者还直接对年龄在六种干预类型资源分配中的重要性进行了评分。

结果

挽救生命情景的回答偏向年轻年龄组,而姑息治疗情景的回答则没有年龄偏好。情景之间的差异具有统计学意义。当直接对年龄在分配治疗资源中的重要性进行评分时,人们认为年龄在治疗不孕症和挽救生命方面最为重要,而在治疗抑郁症方面最不重要。

讨论

人们将年龄作为资源分配标准所赋予的重要性取决于临床背景。由于QALYs作为所有干预类型健康效益的通用衡量标准,对QALYs进行年龄加权为时过早。

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