首页> 外文期刊>BMC Geriatrics >Dementia knowledge assessment scale (DKAS): confirmatory factor analysis and comparative subscale scores among an international cohort
【24h】

Dementia knowledge assessment scale (DKAS): confirmatory factor analysis and comparative subscale scores among an international cohort

机译:痴呆知识评估量表(DKAS):国际队列中的验证性因素分析和比较子量表得分

获取原文
           

摘要

Background 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. Methods 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). Results 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 h ?=?.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. Conclusion 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.
机译:背景痴呆症是一种限制生命的疾病,随着人口老龄化,全球患病率正在增加。在这种情况下,有必要准确地衡量各种卫生专业人员和非专业人群的痴呆症知识,目的是提供有针对性的教育干预措施,并提高识字率,保健和支持水平。在先前的探索性分析(为痴呆知识评估量表(DKAS)的初步有效和可靠的版本的开发)提供信息的基础上,进行了验证性因素分析(CFA)以确认构建的有效性,并提出了子量表,以进一步提高该量度在学者和教育家。方法招募了3649名与痴呆症相关的在线课程的志愿者,从头开始进行大规模抽样,以评估DKAS及其拟议的量表的性能。受访者代表了不同的队列,包括卫生专业人员,学生和普通大众。分析包括CFA(使用结构方程模型),内部一致性度量(α)以及子尺度相关性的非参数检验(Spearman相关性)和队列之间的得分差异(Kruskal-Wallis方差单向分析)。结果CFA的发现支持DKAS的25项四要素模型,由于性能不佳而删除了两项,而一项在要素之间移动。所得模型显示出良好的可靠性(α?=?0.85;ω h ?=?0.87;总体规模),可接受的子等级内部一致性(α?≥?.65;子等级)。分量表显示出可接受的相关性,没有任何冗余的迹象。最后,总得分和DKAS分量表得分显示出对受访者的良好区分,这些受访者根据与痴呆症相关的教育或经验,有望掌握不同水平的知识。结论DKAS已被证实是一种针对不同人群的痴呆知识的可靠且有效的测量方法,能够阐明四个相关领域的知识特征:1)原因和特征,2)沟通和行为,3)护理注意事项和4)风险与健康促进。重要的是,四个已确认的子量表清楚地区分了可能预期拥有不同痴呆知识水平的人群,从而在评估基线理解或与教育干预相关的知识变化时,可以建立更细致的细节水平。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号