Mate Kedar K V, Lebouché Bertrand, Brouillette Marie-Josée, Fellows Lesley K, Mayo Nancy E
Department of Family Medicine, Faculty of Medicine and Health Sciences, McGill University, Montreal, QC H3S 1Z1, Canada.
Centre for Health Outcomes Research and Evaluation, Research Institute of the McGill University Health Centre, Montreal, QC H4A 3S5, Canada.
J Pers Med. 2022 Dec 16;12(12):2080. doi: 10.3390/jpm12122080.
(1) Background: The aim of this project was to develop a short, HIV-specific, health-related quality of life measure with a scoring system based on patient preferences for the different dimensions of the Preference-Based HIV Index (PB-HIV). (2) Methods: This study is a cross-sectional analysis of data from the Canadian Positive Brain Health Now cohort (n = 854; mean age 53 years). Items from the standardized measures were mapped to the areas from the Patient-Generated Index and formed the domains. A Rasch analysis was used to identify the best performing item to represent each dimension. Each item was then regressed on self-rated health (scored 0 to 100) and the regression parameters were used as scaling weights to form an index score for the prototype measure. (3) Results: Seven independent dimensions with three declarative statements ordered as response options formed the PB-HIV Index (pain, fatigue, memory/concentration, sleep, physical appearance/body image, depression, motivation). Regression parameters from a multivariable model yielded a measure with a scoring range from 0 (worst health) to 100 (perfect health). (4) Conclusions: Preference-based measures are optimal, as the total score reflects gains in some dimensions balanced against losses in others. The PB-HIV Index is the first HIV-specific preference-based measure.
(1) 背景:本项目的目的是开发一种简短的、针对HIV的、与健康相关的生活质量测量方法,并基于患者对基于偏好的HIV指数(PB-HIV)不同维度的偏好建立评分系统。(2) 方法:本研究是对加拿大“积极大脑健康现在”队列(n = 854;平均年龄53岁)数据的横断面分析。将标准化测量中的项目映射到患者生成指数的各个领域,形成各个维度。采用拉施分析来确定代表每个维度的表现最佳的项目。然后将每个项目与自评健康状况(评分0至100)进行回归分析,回归参数用作缩放权重,以形成原型测量的指数得分。(3) 结果:PB-HIV指数由七个独立维度和三个作为应答选项排序的陈述性语句组成(疼痛、疲劳、记忆/注意力、睡眠、外貌/身体形象、抑郁、动力)。多变量模型的回归参数得出一种测量方法,其评分范围为0(最差健康状况)至100(完美健康状况)。(4) 结论:基于偏好的测量方法是最优的,因为总分反映了某些维度的改善与其他维度的损失之间的平衡。PB-HIV指数是首个针对HIV的基于偏好的测量方法。