Ministry of Health, Petaling Jaya, Selangor, Malaysia.
Value Health. 2012 Jan-Feb;15(1 Suppl):S85-90. doi: 10.1016/j.jval.2011.11.024.
To estimate a EQ-5D value set for Malaysia by using time trade-off (TTO) and visual analogue scale (VAS) valuation methods.
TTO and VAS valuations were obtained from face-to-face surveys of a convenience sample of patients, caregivers, and health professionals conducted at nine government hospitals in 2004 and 2005. Forty-five EQ-5D questionnaire health states were valued, divided into five sets of 15 health states. Analysis was conducted by using linear additive regression models applying N3 and D1 specifications. Model selection was based on criteria of coefficient properties, statistical significance, and goodness of fit.
One hundred fifty-two respondents were interviewed, yielding 2174 TTO and 2265 VAS valuations. Respondents found TTO valuations to be more difficult than VAS valuations, and there were more inconsistencies in TTO valuations. All the independent variables in the models were statistically significant and consistent with expected signs and magnitude, except for the D1 specification modeled on TTO valuations. The N3 model provided the best fit for the VAS valuation data, with a mean absolute error of 0.032.
This study provides a Malaysian EQ-5D questionnaire value set that can be used for cost-utility studies despite survey limitations.
通过使用时间权衡(TTO)和视觉模拟量表(VAS)评估方法,估计马来西亚的 EQ-5D 值集。
2004 年至 2005 年,在 9 家政府医院,对患者、护理人员和卫生专业人员的便利样本进行了面对面调查,获得了 TTO 和 VAS 评估。对 45 个 EQ-5D 问卷健康状况进行了评估,分为 5 组,每组 15 个健康状况。通过应用 N3 和 D1 规范的线性加性回归模型进行分析。模型选择基于系数特性、统计显著性和拟合优度标准。
共访谈了 152 名受访者,得出了 2174 个 TTO 和 2265 个 VAS 评估值。受访者发现 TTO 评估比 VAS 评估更困难,而且 TTO 评估的不一致性更多。除了基于 TTO 评估的 D1 规范外,模型中的所有自变量均具有统计学意义且与预期的符号和幅度一致。N3 模型为 VAS 评估数据提供了最佳拟合,平均绝对误差为 0.032。
尽管存在调查限制,但本研究提供了马来西亚 EQ-5D 问卷价值集,可用于成本效益研究。