Annear Michael J, Toye Chris, Elliott Kate-Ellen J, McInerney Frances, Eccleston Claire, Robinson Andrew
Wicking Dementia Research and Education Centre, University of Tasmania, Hobart, TAS, Australia.
School of Nursing, Midwifery and Paramedicine, Curtin University, Bentley, WA, Australia.
BMC Geriatr. 2017 Jul 31;17(1):168. doi: 10.1186/s12877-017-0552-y.
Dementia is a life-limiting condition that is increasing in global prevalence in line with population ageing. In this context, it is necessary to accurately measure dementia knowledge across a spectrum of health professional and lay populations with the aim of informing targeted educational interventions and improving literacy, care, and support. Building on prior exploratory analysis, which informed the development of the preliminarily valid and reliable version of the Dementia Knowledge Assessment Scale (DKAS), a Confirmatory Factor Analysis (CFA) was performed to affirm construct validity and proposed subscales to further increase the measure's utility for academics and educators.
A large, de novo sample of 3649 volunteer respondents to a dementia-related online course was recruited to evaluate the performance of the DKAS and its proposed subscales. Respondents represented diverse cohorts, including health professionals, students, and members of the general public. Analyses included CFA (using structural equation modelling), measures of internal consistency (α), and non-parametric tests of subscale correlation (Spearman Correlation) and score differences between cohorts (Kruskal-Wallis one-way analysis of variance).
Findings of the CFA supported a 25-item, four-factor model for the DKAS with two items removed due to poor performance and one item moved between factors. The resultant model exhibited good reliability (α = .85; ω = .87; overall scale), with acceptable subscale internal consistency (α ≥ .65; subscales). Subscales showed acceptable correlation without any indication of redundancy. Finally, total and DKAS subscale scores showed good discrimination between cohorts of respondents who would be anticipated to hold different levels of knowledge on the basis of education or experience related to dementia.
The DKAS has been confirmed as a reliable and valid measure of dementia knowledge for diverse populations that is capable of elucidating knowledge characteristics across four coherent domains: 1) Causes and Characteristics, 2) Communication and Behaviour, 3) Care Considerations, and 4) Risks and Health Promotion. Importantly, the four confirmed subscales clearly distinguish between groups who might be expected to hold differing levels of knowledge about dementia, allowing for a fine-grained level of detail to be established when evaluating baseline understanding or knowledge change associated with educational intervention.
痴呆症是一种影响寿命的疾病,随着全球人口老龄化,其患病率正在上升。在这种情况下,有必要准确测量各类卫生专业人员和普通人群的痴呆症知识,以便为有针对性的教育干预提供信息,并提高认知水平、护理质量和支持力度。基于先前的探索性分析(该分析为痴呆症知识评估量表(DKAS)初步有效且可靠的版本的开发提供了依据),进行了验证性因素分析(CFA),以确认结构效度并提出子量表,从而进一步提高该量表对学者和教育工作者的实用性。
招募了3649名参与痴呆症相关在线课程的志愿者作为全新的大样本,以评估DKAS及其提议的子量表的性能。受访者代表了不同群体,包括卫生专业人员、学生和普通公众。分析包括CFA(使用结构方程模型)、内部一致性测量(α)以及子量表相关性的非参数检验(斯皮尔曼相关性)和不同群体之间的得分差异(克鲁斯卡尔-沃利斯单向方差分析)。
CFA的结果支持了一个包含25个项目的DKAS四因素模型,其中两个项目因表现不佳被移除,一个项目在因素之间进行了调整。最终模型显示出良好的信度(α = 0.85;ω = 0.87;总体量表),各子量表的内部一致性也可接受(α≥0.65;子量表)。子量表之间的相关性可接受,没有任何冗余迹象。最后,DKAS总分和子量表得分在预期因与痴呆症相关的教育或经验而拥有不同知识水平的受访者群体之间表现出良好的区分度。
DKAS已被确认为一种可靠且有效的工具,可用于测量不同人群对痴呆症的知识,能够阐明四个连贯领域的知识特征:1)病因与特征,2)沟通与行为,3)护理考量,4)风险与健康促进。重要的是,四个经确认的子量表能够清晰地区分可能预期对痴呆症拥有不同知识水平的群体,从而在评估与教育干预相关的基线理解或知识变化时能够建立细致的详细程度。