Garcia-Ribas Guillermo, García-Arcelay Elena, Montoya Alonso, Maurino Jorge, Ballesteros Javier
Department of Neurology, Hospital Universitario Ramón Y Cajal, Madrid, Spain.
Medical Department, Roche Farma, Madrid, Spain.
Neurol Ther. 2021 Jun;10(1):213-224. doi: 10.1007/s40120-021-00230-x. Epub 2021 Jan 29.
The Alzheimer's Disease Knowledge Scale (ADKS) is one of the most popular instruments for assessing a person's knowledge regarding Alzheimer's disease (AD). The objective of this study was to explore ADKS item characteristics with item response theory (IRT) procedures.
A noninterventional web-based study was conducted. A nonparametric IRT procedure, Mokken analysis, was used to explore the underlying latent structure of the ADKS and ADKS item characteristics regarding scalability and violations of the monotone homogeneity (MH) model. A random-effects meta-analysis was implemented that combined ADKS scores from independent studies.
A total of 447 employees of a pharmaceutical company participated in the study. The mean ADKS score was 21.2 (SD 2.8). Mokken analysis showed that most ADKS items (22 of 30) do not fit to any scale and can be considered to be scale independent. Two items (#1: particularly prone to depression; #20: depression can be mistaken for AD) fit to a domain relating to depression, another two items (#2: mental exercise can prevent AD development; #8: benefit of psychotherapy) can be related to potential prevention and improvement, and four items (#12: poor nutrition can make the symptoms worse; #18: high cholesterol may increase the risk of AD; #26: high blood pressure may increase the risk of AD; #27: genes can only partially account for AD development) fit to a risk factor domain. As expected from those results, neither the overall scale (H = 0.033) nor its items showed appropriate scalability index values, suggesting that ADKS does not fit to a MH model. Eleven items showed violations of the assumptions of the MH model. The meta-analytical average score was 21.78 (95% CI 20.67-22.90), with healthcare professionals and caregivers showing the highest levels of AD knowledge.
Although the ADKS does not present a unidimensional structure, its independent items together provide a comprehensive spectrum of information regarding AD knowledge.
阿尔茨海默病知识量表(ADKS)是评估个人对阿尔茨海默病(AD)知识掌握情况最常用的工具之一。本研究的目的是运用项目反应理论(IRT)程序探讨ADKS项目特征。
开展了一项基于网络的非干预性研究。采用非参数IRT程序——莫肯分析,以探究ADKS的潜在潜在结构以及ADKS项目在可扩展性和违反单调同质性(MH)模型方面的特征。实施了随机效应荟萃分析,将独立研究中的ADKS分数合并。
一家制药公司的447名员工参与了该研究。ADKS平均得分为21.2(标准差2.8)。莫肯分析表明,大多数ADKS项目(30项中的22项)不适合任何量表,可视为与量表无关。两项(第1项:特别容易患抑郁症;第20项:抑郁症可能被误诊为AD)适合与抑郁症相关的领域,另外两项(第2项:脑力锻炼可预防AD发展;第8项:心理治疗的益处)可与潜在的预防和改善相关,还有四项(第12项:营养不良会使症状加重;第18项:高胆固醇可能增加患AD的风险;第26项:高血压可能增加患AD的风险;第27项:基因只能部分解释AD的发展)适合风险因素领域。从这些结果可以预期,无论是总体量表(H = 0.033)还是其项目都未显示出合适的可扩展性指数值,这表明ADKS不适合MH模型。11个项目违反了MH模型的假设。荟萃分析的平均得分为21.78(95%置信区间20.67 - 22.90),医疗保健专业人员和护理人员的AD知识水平最高。
尽管ADKS没有呈现单维结构,但其独立项目共同提供了关于AD知识的全面信息谱。