Division of Population Health, Health Services Research, and Primary Care, School of Health Sciences, Centre for Health Economics, University of Manchester, Oxford Road, Manchester, M13 9PL, UK.
Division of Nursing, Midwifery & Social Work, School of Health Sciences, University of Manchester, Manchester, UK.
Qual Life Res. 2018 Mar;27(3):717-724. doi: 10.1007/s11136-017-1768-1. Epub 2017 Dec 16.
Economic evaluations of mental health interventions often measure health benefit in terms of utility values derived from the EQ-5D. For the five-level version of the EQ-5D, there are two methods of estimating utility [crosswalk and stated preference (5L-SP)]. This paper explores potential impacts for researchers and decision-makers when comparing utility values derived from either method in the specific context of mental health.
Baseline EQ-5D-5L data from three large randomised controlled trials of interventions for mental health conditions were analysed. Utility values were generated using each method. Mean utility values were compared using a series of t tests on pooled data and subgroups. Scenario analyses explored potential impacts on cost-effectiveness decisions.
EQ-5D data were available for 1399 participants. The mean utility value for each trial was approximately 0.08 higher when estimated using the 5L-SP approach compared to crosswalk (p < 0.0001). The difference was greatest among people reporting extreme anxiety/depression (mean utility 5L-SP 0.309, crosswalk 0.084; difference = 0.225; p < 0.0001). Identical improvements in health status were associated with higher costs to gain one QALY with the 5L-SP approach; this is more pronounced when improvements are across all domains compared to improvements on the anxiety/depression domain only.
The two approaches produce significantly different utility values in people with mental health conditions. Resulting differences in cost per QALY estimates suggest that thresholds of cost-effectiveness may also need to be reviewed. Researchers and decision-makers should exercise caution when comparing or synthesising data from trials of mental health interventions using different utility estimation approaches.
心理健康干预措施的经济评估通常使用 EQ-5D 得出的效用值来衡量健康效益。对于 EQ-5D 的五水平版本,有两种估计效用的方法[交叉和陈述偏好(5L-SP)]。本文探讨了在心理健康的特定背景下,当比较两种方法得出的效用值时,研究人员和决策者可能面临的潜在影响。
分析了三项针对心理健康状况干预措施的大型随机对照试验的基线 EQ-5D-5L 数据。使用每种方法生成效用值。使用 pooled 数据和子组的一系列 t 检验比较平均效用值。情景分析探讨了对成本效益决策的潜在影响。
EQ-5D 数据可用于 1399 名参与者。与交叉方法相比,使用 5L-SP 方法估计时,每个试验的平均效用值高约 0.08(p<0.0001)。在报告极度焦虑/抑郁的人群中,差异最大(5L-SP 方法的平均效用值为 0.309,交叉方法为 0.084;差异=0.225;p<0.0001)。健康状况相同的改善与使用 5L-SP 方法获得一个 QALY 的成本增加有关;当改善跨越所有领域时,与仅在焦虑/抑郁领域改善相比,这种情况更为明显。
这两种方法在心理健康人群中产生了显著不同的效用值。成本效益比估计的差异表明,成本效益阈值可能也需要重新审查。研究人员和决策者在比较或综合使用不同效用估计方法的心理健康干预试验数据时应谨慎行事。