School of Health Sciences, Fron Heulog, Bangor University, Gwynedd, UK.
Centre for Health Economics and Medicines Evaluation, Ardudwy Hall, Bangor University, Gwynedd, UK.
Disabil Rehabil. 2022 Jun;44(12):2915-2929. doi: 10.1080/09638288.2020.1844319. Epub 2020 Nov 12.
Generic preference-based measures often lack validity in states of impaired mobility. Our aim was to derive a novel health state classification system from the MobQoL tool, for the purpose of preference-based measurement of states of impaired mobility.
Data were collected through online and postal surveys. Respondents were recruited through the NHS, charitable organisations and HealthWise Wales. Statistical and psychometric analyses were used to assess the validity and reliability of the MobQoL tool. Exploratory factor analysis and Rasch analysis were used to determine dimensional structure and to select items for the MobQoL health state classification system.
Three hundred and forty-two respondents completed the survey. Respondents had a wide range of different mobility impairments. Nine of the MobQoL items demonstrated adequate validity and reliability. Exploratory factor analysis and Rasch analysis confirmed two sub-scales within the item structure: 1) physical and role functioning, and 2) mental wellbeing. Seven items were found to have adequate model fit and were retained in the final health state classification system, called the MobQoL-7D.
The MobQoL-7D contains seven dimensions of mobility-related quality of life: accessibility, contribution, pain/discomfort, independence, self-esteem, mood/emotions and anxiety. Population level preference weights are now needed for different states of mobility impairment.IMPLICATIONS FOR REHABILITATIONMobility impairment has distinct impacts on mental wellbeing and physical/role functioning.The MobQoL-7D will facilitate accurate preference-based outcome measurement in populations with impaired mobility, which in turn will promote methods of economic evaluation in this context.MobQoL-7D offers a concise and valid tool for rehabilitation professionals to measure and monitor mobility-related quality of life as part of routine clinical practice.
通用偏好量表在行动不便状态下往往缺乏有效性。我们的目的是从 MobQoL 工具中得出一个新的健康状态分类系统，用于测量行动不便状态下的偏好。
通过在线和邮寄调查收集数据。通过英国国家医疗服务体系（NHS）、慈善组织和 HealthWise Wales 招募受访者。使用统计和心理测量分析来评估 MobQoL 工具的有效性和可靠性。使用探索性因子分析和 Rasch 分析来确定维度结构，并为 MobQoL 健康状态分类系统选择项目。
342 名受访者完成了调查。受访者的行动不便程度差异很大。MobQoL 的 9 项指标表现出足够的有效性和可靠性。探索性因子分析和 Rasch 分析证实了项目结构中的两个子量表：1）身体和角色功能，以及 2）心理健康。有 7 个项目被发现具有足够的模型拟合度，并保留在最终的健康状态分类系统中，称为 MobQoL-7D。
MobQoL-7D 包含七个与行动相关的生活质量维度：可及性、贡献、疼痛/不适、独立性、自尊、情绪/情绪和焦虑。现在需要为不同程度的行动障碍状态确定人群水平的偏好权重。
行动障碍对心理健康和身体/角色功能有明显影响。
MobQoL-7D 将促进在行动不便人群中进行准确的基于偏好的结果测量，从而促进这方面的经济评估方法。
MobQoL-7D 为康复专业人员提供了一种简洁有效的工具，用于测量和监测与行动相关的生活质量，作为常规临床实践的一部分。
