Headache Department, Iranian Center of Neurological Research, Neuroscience Institute, Tehran University of Medical Sciences, Tehran, Iran; Headache Department, Neurology Ward, Sina University Hospital, School of Medicine, Tehran University of Medical Sciences, Tehran, Iran.
Imam Hossein Hospital, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Value Health Reg Issues. 2021 Sep;25:57-63. doi: 10.1016/j.vhri.2020.12.003. Epub 2021 Mar 25.
There are increasing demands for studies of cost-effectiveness to allocate resources for disease prevention and treatment strategies. The aim of this study is to measure quality of life in migraineurs, based on the Migraine-Specific Questionnaire (MSQ) and EQ-5D-5L, and thereafter map an algorithm to estimate health-state utility values from the MSQ in individuals with migraine.
In this cross-sectional study conducted between May and July 2018 in a tertiary headache clinic in Tehran, Iran, migraineurs diagnosed based on International Classification of Headache Disorders (ICHD)-3β were enrolled and were asked to complete the MSQ questionnaire and EQ-5D questionnaire. The Spearman correlation coefficient (ρ) was calculated to measure the correlation between the EQ-5D-5L and MSQ v2.1 domains' score. A P value of <.05 was considered statistically significant. After statistical analysis, several regression models were presented to map the results of the MSQ domains to the utility index, and the preferred model was achieved based on goodness of fit and the model's predictive performance.
The preferred MSQ algorithm had approximately the same prediction errors in all migraineurs, episodic and chronic migraine (root mean square error 0.24, 0.24, and 0.23, respectively). The preferred MSQ model explained a variance of 0.26 (R) in episodic and 0.38 in chronic migraine in the EQ-5D-5L questionnaire.
The preferred MSQ mapping algorithm will be suitable in estimating health state utilities in trials of patients with migraine that contain MSQ scores but lack utility values.
对于疾病预防和治疗策略的资源分配，越来越需要进行成本效益研究。本研究旨在使用偏头痛特异性问卷（MSQ）和 EQ-5D-5L 来衡量偏头痛患者的生活质量，并在此基础上构建一种算法，以便从偏头痛患者的 MSQ 中估算健康状态效用值。
这是一项横断面研究，于 2018 年 5 月至 7 月在伊朗德黑兰的一家三级头痛诊所进行，招募了根据国际头痛疾病分类（ICHD）-3β诊断为偏头痛的患者，并要求他们完成 MSQ 问卷和 EQ-5D 问卷。采用 Spearman 相关系数（ρ）来衡量 EQ-5D-5L 和 MSQ v2.1 各领域评分之间的相关性。P 值<.05 被认为具有统计学意义。经过统计分析，提出了几种回归模型来将 MSQ 领域的结果映射到效用指数，根据拟合优度和模型的预测性能，选择了最佳模型。
在所有偏头痛患者中，包括发作性和慢性偏头痛患者，首选 MSQ 算法的预测误差大致相同（均方根误差分别为 0.24、0.24 和 0.23）。首选的 MSQ 模型在 EQ-5D-5L 问卷中解释了发作性偏头痛的 0.26（R）和慢性偏头痛的 0.38 的方差。
在包含 MSQ 评分但缺乏效用值的偏头痛患者试验中，首选的 MSQ 映射算法将适用于估算健康状态效用值。
