药物经济学评价中对患多种疾病人群健康效用值的间接获取分析
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摘要
目的:分析患多种疾病人群健康效用值的间接获取及不同方法间的比较。方法:采用对比及参照分析法系统探讨四种非参数估计方法和线性模型这一参数估计方法的基本假设、使用情况及示例分析结果。结果:不同估计方法均基于不同的基本假设,最小值法的估计值大于乘法及加法模型的估计值,参数估计法的准确性更高但可行性较低。结论:当不能直接获取患多种疾病人群的健康效用值时,采用单一疾病状态的健康效用值进行估计是一种有效的选择。
Objective:Through deeply analyzing the indirect acquisition of health utilities of patient groups with different diseases and the comparison of different acquisition methods. Methods: Comparison and control analysis method were applied systematically discuss the basic hypotheses, usage situation and example analysis results of the non-parametric estimation and the linear model parameter. Results: Different estimation method was based on different basic hypotheses. The estimated value of minimum method was larger than the estimated value of additive model. The accuracy of parameter estimation method was higher but the accessibility was relatively low. Conclusion: It was an effective choice for using the health utility of single disease status to conduct the estimation when it could not directly acquire the health utilities of patient groups with different diseases.
Objective:Through deeply analyzing the indirect acquisition of health utilities of patient groups with different diseases and the comparison of different acquisition methods. Methods: Comparison and control analysis method were applied systematically discuss the basic hypotheses, usage situation and example analysis results of the non-parametric estimation and the linear model parameter. Results: Different estimation method was based on different basic hypotheses. The estimated value of minimum method was larger than the estimated value of additive model. The accuracy of parameter estimation method was higher but the accessibility was relatively low. Conclusion: It was an effective choice for using the health utility of single disease status to conduct the estimation when it could not directly acquire the health utilities of patient groups with different diseases.
引文
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[4]ARA R,WAILOO A.Estimating health state utility values for joint health conditions:a conceptual review and critique of the current evidence[J].Medical decision making,2013,33(2):139-153.
[5]HU B,FU A Z.Predicting utility for joint health states:a general framework and a new nonparametric estimator[J].Medical decision making,2010,30(5):29-39.
[2]马珂,冯玫,赵瑞敏,等.全科医学科住院患者共病情况调查研究[J].中国全科医学,2017,20(23):2820-2822.
[3]伍红艳,刘国恩.生命质量量表不同计分方法对评价结果的影响[J].中国卫生经济,2013,32(8):66-67.
[4]ARA R,WAILOO A.Estimating health state utility values for joint health conditions:a conceptual review and critique of the current evidence[J].Medical decision making,2013,33(2):139-153.
[5]HU B,FU A Z.Predicting utility for joint health states:a general framework and a new nonparametric estimator[J].Medical decision making,2010,30(5):29-39.