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14个国家不同健康状况致残影响的多信息提供者排名。世界卫生组织/美国国立卫生研究院联合项目CAR研究小组。

Multiple-informant ranking of the disabling effects of different health conditions in 14 countries. WHO/NIH Joint Project CAR Study Group.

作者信息

Ustün T B, Rehm J, Chatterji S, Saxena S, Trotter R, Room R, Bickenbach J

机构信息

WHO, Assessment Classification and Epidemiology Group, Geneva, Switzerland.

出版信息

Lancet. 1999 Jul 10;354(9173):111-5. doi: 10.1016/s0140-6736(98)07507-2.

Abstract

BACKGROUND

The Global Burden of Disease study provided international statistics on the burden of diseases, combining mortality and disability, that can be used for priority setting and policy making. However, there are concerns about the universality of the disability weights used. We undertook a study to investigate the stability of such weighting in different countries and informant groups.

METHODS

241 key informants (health professionals, policy makers, people with disabilities, and their carers) from 14 countries were asked to rank 17 health conditions from most disabling to least disabling. Kruskal-Wallis ANOVA was used to test for differences in ranking between countries or informant groups and Kendall tau-B correlations to measure association between different rank orders.

FINDINGS

For 13 of 17 health conditions, there were significant (p<0.05) differences in ranking between countries; in the comparison of informant groups, there were significant differences for five of the 17 health conditions. The overall rank order in the present study was, however, almost identical to the ranking of the Global Burden of Disease study, which used a different method. Most of the rank correlations between countries were between 0.50 and 0.70 (average 0.61 [95% CI 0.59-0.64]). The average correlation of rank orders between different informant groups was 0.76.

INTERPRETATION

Rank order of disabling effects of health conditions is relatively stable across countries, informant groups, and methods. However, the differences are large enough to cast doubt on the assumption of universality of experts' judgments about disability weights. Further studies are needed because disability weights are central to the calculation of disability-adjusted life years.

摘要

背景

全球疾病负担研究提供了关于疾病负担的国际统计数据,该数据综合了死亡率和残疾情况,可用于确定优先事项和制定政策。然而,人们对所使用的残疾权重的普遍性存在担忧。我们开展了一项研究,以调查这种权重在不同国家和信息提供者群体中的稳定性。

方法

来自14个国家的241名关键信息提供者(卫生专业人员、政策制定者、残疾人及其照顾者)被要求对17种健康状况按致残程度从高到低进行排序。采用Kruskal-Wallis方差分析来检验不同国家或信息提供者群体之间的排序差异,并使用肯德尔tau-B相关性来衡量不同排序顺序之间的关联。

结果

在17种健康状况中的13种上,不同国家之间的排序存在显著差异(p<0.05);在信息提供者群体的比较中,17种健康状况中的5种存在显著差异。然而,本研究的总体排序与采用不同方法的全球疾病负担研究的排序几乎相同。不同国家之间的大多数排序相关性在0.50至0.70之间(平均0.61 [95%可信区间0.59 - 0.64])。不同信息提供者群体之间排序顺序的平均相关性为0.76。

解读

健康状况致残效应的排序在不同国家、信息提供者群体和方法之间相对稳定。然而,这些差异大到足以让人质疑专家对残疾权重判断的普遍性假设。由于残疾权重是计算残疾调整生命年的核心,因此需要进一步研究。

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