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决策中的不确定性:超重和肥胖人群生活方式干预成本效益中额外信息的价值

Uncertainty in decision-making: value of additional information in the cost-effectiveness of lifestyle intervention in overweight and obese people.

作者信息

Galani Carmen, Al Maiwenn, Schneider Heinz, Rutten Frans F H

机构信息

HealthEcon AG, Basel, Switzerland.

出版信息

Value Health. 2008 May-Jun;11(3):424-34. doi: 10.1111/j.1524-4733.2007.00284.x. Epub 2007 Dec 17.

Abstract

OBJECTIVES

To quantify the uncertainty in the cost-effectiveness of lifestyle intervention versus standard care in overweight and obese people in Switzerland and to determine if further research is necessary based on current information. There has been an increasing interest in using value of information analysis in medical decision-making to quantify the uncertainty in decision-making, and to identify the need for further research.

METHODS

Value of information analysis was applied on a probabilistic cost-effectiveness model to evaluate the uncertainty by calculating the patient expected value of perfect information (EVPI), population EVPI, and partial EVPI. The costs were expressed in Swiss Francs (CHF), price year 2006.

RESULTS

Overall, the EVPI was higher in overweight than in obese people. The maximum population EVPI was CHF 6.8 million in overweight people and CHF 3.2 million in moderate obese people, representing the upper limit on costs associated with decision uncertainty. The partial EVPI estimated a higher uncertainty in the model parameters such as utilities, body mass index, cardiovascular risk factors, and systolic blood pressure in overweight and moderate obese subjects.

CONCLUSIONS

The EVPI analysis indicates that there is some uncertainty regarding the choice between lifestyle intervention and standard care. The parameter EVPI suggests that if further research is commissioned, this should focus on the effectiveness of lifestyle intervention on cardiovascular risk factors and utilities.

摘要

目的

量化瑞士超重和肥胖人群中生活方式干预与标准护理的成本效益不确定性,并根据当前信息确定是否有必要进行进一步研究。在医疗决策中使用信息价值分析来量化决策中的不确定性,并确定进一步研究的必要性,这种做法越来越受到关注。

方法

将信息价值分析应用于概率成本效益模型,通过计算患者完美信息期望值(EVPI)、总体EVPI和部分EVPI来评估不确定性。成本以2006年价格的瑞士法郎(CHF)表示。

结果

总体而言,超重人群的EVPI高于肥胖人群。超重人群的最大总体EVPI为680万瑞士法郎,中度肥胖人群为320万瑞士法郎,代表了与决策不确定性相关的成本上限。部分EVPI估计超重和中度肥胖受试者的模型参数(如效用、体重指数、心血管危险因素和收缩压)存在更高的不确定性。

结论

EVPI分析表明,在生活方式干预和标准护理之间的选择存在一些不确定性。参数EVPI表明,如果委托进行进一步研究,应侧重于生活方式干预对心血管危险因素和效用的有效性。

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