School of Public Health, Department of Management, Evaluation and Health Policy, University of Montreal , Montreal, QC, Canada.
Centre de recherche de l'IUSMM, CIUSSS de l'Est de l'Île de Montréal, Montréal, QC, Canada.
Expert Rev Pharmacoecon Outcomes Res. 2021 Feb;21(1):105-110. doi: 10.1080/14737167.2020.1755261. Epub 2020 Apr 17.
: Generic preference-based measures are used to evaluate disability and health-related quality of life (HRQoL). : To evaluate if Short Form Six-Dimensions (SF-6Dv2) is correlated with specific current questionnaires used in chronic low back pain (CLBP) and if a predictive equation of SF-6Dv2 could be established. : Between October 2018 and January 2019, an online survey on CLBP was conducted. HRQoL was measured with two specific questionnaires, i.e. Oswestry Disability Index (ODI) and Roland-Morris Disability Questionnaire (RMDQ), and with the new version of the SF-6Dv2 as a generic preference-based measure. : 402 subjects completed at least two of the three HRQoL questionnaires. Mean (95% confidence interval) of SF-6Dv2, ODI, or RMDQ were, respectively, 0.561 (0.553-0.569), 43.7 (42.1-45.2), and 10.3 (9.8-10.8). SF-6Dv2 was moderately correlated with ODI and RMDQ (r = -0.635 and r = -0.542, p < 0.001). The best model to predict SF-6Dv2 explained 50.6% of variability and included ODI. The correlation between actual and predicted SF-6Dv2 was 0.71. : This study demonstrated that SF-6Dv2 was moderately correlated with ODI and RMDQ and that ODI was a better predictor. There was a strong correlation between actual and predicted SF-6Dv2 from multivariate models. These results suggest that the model can be used in similar studies to estimate the SF-6Dv2 when it was not measured.
:通用偏好量表用于评估残疾和与健康相关的生活质量(HRQoL)。:评估短期六维度(SF-6Dv2)是否与慢性下腰痛(CLBP)中使用的特定当前问卷相关,以及是否可以建立 SF-6Dv2 的预测方程。:2018 年 10 月至 2019 年 1 月,进行了一项关于慢性下腰痛的在线调查。使用两种特定问卷,即 Oswestry 残疾指数(ODI)和 Roland-Morris 残疾问卷(RMDQ),以及新的 SF-6Dv2 版本作为通用偏好量表来衡量 HRQoL。:402 名受试者至少完成了三项 HRQoL 问卷中的两项。SF-6Dv2、ODI 或 RMDQ 的平均值(95%置信区间)分别为 0.561(0.553-0.569)、43.7(42.1-45.2)和 10.3(9.8-10.8)。SF-6Dv2 与 ODI 和 RMDQ 中度相关(r=-0.635 和 r=-0.542,p<0.001)。预测 SF-6Dv2 的最佳模型解释了 50.6%的变异性,并且包含 ODI。实际和预测 SF-6Dv2 之间的相关性为 0.71。:本研究表明,SF-6Dv2 与 ODI 和 RMDQ 中度相关,ODI 是更好的预测因子。多元模型的实际和预测 SF-6Dv2 之间存在很强的相关性。这些结果表明,当未测量 SF-6Dv2 时,可以在类似的研究中使用该模型来估计 SF-6Dv2。