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首页> 外文期刊>Journal of Clinical Epidemiology >Quality-adjusted life years was a poor predictor of women's willingness to pay in acute and chronic conditions: results of a survey.
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Quality-adjusted life years was a poor predictor of women's willingness to pay in acute and chronic conditions: results of a survey.

机译:质量调整的生活年数不能很好地预测妇女在急症和慢性病中的支付意愿:一项调查的结果。

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OBJECTIVE: We investigated the relationship between quality-adjusted life years (QALYs) and willingness to pay (WTP) in acute and chronic conditions. STUDY DESIGN AND SETTING: Face-to-face interviews were used to collect data in a convenience sample of women. Participants completed one interview evaluating preferences for an acute condition, post-chemotherapy nausea and vomiting (PCNV), and the other interview for a chronic condition (breast cancer). Preferences were elicited for QALYs using visual analogue scale (VAS), and standard gamble in addition to WTP. Because QALYs and WTP are purportedly based on the same underlying theoretical foundations, WTP was regressed onto change in QALYs, age, income, and health status. RESULTS: Regression analysis reported statistically significant models for all breast cancer (P < .001) and PCNV (P < .05) conditions tested. However, QALY was not a significant predictor of WTP. CONCLUSION: The results of this study indicate QALYs was a poor predictor of WTP for the conditions tested. Linear combinations of change in QALYs, age, income, and health status were a better predictor of WTP for chronic than acute conditions. This can be attributed to violations of underlying assumptions in measurement of QALYs with acute conditions and to problems with the use of WTP with chronic conditions.
机译:目的:我们研究了急性和慢性疾病中的质量调整生命年(QALYs)与支付意愿(WTP)之间的关系。研究设计和设置:面对面访谈用于收集方便妇女样本中的数据。参与者完成了一次采访,评估了对急性病,化疗后恶心和呕吐(PCNV)的偏好,另一次采访对慢性病(乳腺癌)进行了评估。使用视觉模拟量表(VAS)和WTP之外的标准赌博引发了QALY的偏好。由于据称QALY和WTP基于相同的基础理论基础,因此WTP回归到QALY,年龄,收入和健康状况的变化上。结果:回归分析报告了所测试的所有乳腺癌(P <.001)和PCNV(P <.05)状况的统计学显着模型。但是,QALY并不是WTP的重要预测指标。结论:这项研究的结果表明,在所测试的条件下,QALYs不能很好地预测WTP。 QALY,年龄,收入和健康状况变化的线性组合比慢性病更能预测慢性病的WTP。这可以归因于急性条件下QALYs测量中违反基本假设的情况,以及慢性条件下使用WTP的问题。

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