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使用功能健康分类与测量系统(CLAMES)得出加拿大民众对健康状态的偏好。

Eliciting Canadian population preferences for health states using the Classification and Measurement System of Functional Health (CLAMES).

作者信息

McIntosh Cameron N, Connor Gorber Sarah, Bernier Julie, Berthelot Jean-Marie

机构信息

Health Analysis and Measurement Group, Statistics Canada, Ottawa, Ontario, Canada K1A 0T6.

出版信息

Chronic Dis Can. 2007;28(1-2):29-41.

PMID:17953796
Abstract

A major objective of the Population Health Impact of Disease in Canada (PHI) research program was to obtain Canadian-specific preferences for health states associated with various diseases, in order to estimate the morbidity component of summary measures of population health embodying the Canadian experience of disease. In this study, preferences for health states were elicited from lay panels (N=146) in nine Canadian communities (Vancouver, Edmonton, Saskatoon, Toronto, Ottawa, Montréal, Québec, Moncton and Halifax); the study was conducted from January to June of 2003. Information on health states was presented to raters using the CLAssification and MEasurement System of Functional Health (CLAMES), which assesses functional capacity using 11 health status attributes, each with four to five levels ranging from normal to severely limited functioning. Preferences for 238 health states classified by CLAMES were elicited using the standard gamble (SG) technique in both individual and group exercises. Mean preferences for these health states were then used to estimate the parameters of a log-linear scoring function for CLAMES. The function provides a convenient method of computing preference scores for any health state classified by CLAMES, without the need for direct measurement in surveys. Further, the SG appears feasible in group settings.

摘要

加拿大疾病对人群健康的影响(PHI)研究项目的一个主要目标是获取加拿大人对与各种疾病相关的健康状态的特定偏好,以便估计体现加拿大疾病经历的人群健康综合指标中的发病情况部分。在本研究中,从加拿大九个社区(温哥华、埃德蒙顿、萨斯卡通、多伦多、渥太华、蒙特利尔、魁北克、蒙克顿和哈利法克斯)的普通小组(N = 146)中获取了对健康状态的偏好;该研究于2003年1月至6月进行。使用功能健康分类与测量系统(CLAMES)向评估者呈现健康状态信息,该系统使用11个健康状况属性评估功能能力,每个属性有四到五个从正常到功能严重受限的等级。通过标准博弈(SG)技术在个体和小组活动中获取了由CLAMES分类的238种健康状态的偏好。然后,这些健康状态的平均偏好被用于估计CLAMES对数线性评分函数的参数。该函数提供了一种便捷的方法,可计算由CLAMES分类的任何健康状态的偏好分数,而无需在调查中进行直接测量。此外,标准博弈在小组环境中似乎是可行的。

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