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Psychometric Evaluation and Workflow Integration Study of a Tablet-Based Tool to Detect Mild Cognitive Impairment in Older Adults: Protocol for a Mixed Methods Study

机译:基于片剂的工具进行心理测量和工作流程研究,以检测旧成年人轻度认知障碍:混合方法研究的协议

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Background With the rapid aging of the global population, experts anticipate a surge in the prevalence of mild cognitive impairment (MCI) and dementia worldwide. It is argued that developing more sensitive, easy to administer, and valid MCI screening tools for use in primary care settings may initiate timely clinical and personal care planning and treatment, enabling early access to programs and services. Including functional competence measures in screening tests makes them more ecologically valid and may help to identify cognitive deficits at an earlier stage. Objective We aim to conduct a preliminary evaluative study comparing the sensitivity, specificity, and reliability of the BrainFx Screen (referred to as SCREEN hereafter), a novel digital tool designed to assess functional competence and detect early signs of cognitive impairment, with the Quick Mild Cognitive Impairment, a validated and highly sensitive tool that detects MCI in the older adult population. We will also investigate the perceived usefulness and integration of the SCREEN into primary care practice to identify demonstrable impacts on clinical workflow and health care providers’ (HCP) perceptions of its success as a screening tool. Patients’ perceptions of completing the SCREEN and its impact on their quality of life will also be explored. Methods This study has a concurrent, mixed methods, prospective, and quasi-experimental design. Participants will be recruited from 5 primary care family health teams (FHTs; defined by multidisciplinary practice and capitated funding) across southwestern Ontario, Canada. Participants will include HCPs, patients, care partners, and FHT administrative executives. Patients 55 years and older with no history of diagnoses for MCI, dementia, or Alzheimer disease rostered in one of the FHTs participating in the study will be eligible to participate. Their care partners will help triangulate the qualitative data collected from patients. Participating FHTs will identify an occupational therapist from their site to participate in the study; this HCP will both administer the research protocol and participate in semistructured in-depth interviews and questionnaires. Principal component analysis will be conducted on the SCREEN data to understand the test components better. Tests comparing sensitivity, specificity, and test-retest reliability will assess the validity of SCREEN as a screening tool for MCI. Results This paper describes the study protocol and its activities to date. Data collection was halted early because of COVID-19 restrictions on research activity, and data analysis is currently in progress. Conclusions At the end of the project, we anticipate having an initial comparative evaluation of the SCREEN as a tool for early detection of MCI in primary care older adult patient populations. Resource constraints on this research study limit our ability to conduct a randomized controlled trial; however, the results will assist developers of the SCREEN in determining whether rigorous controlled testing is warranted.
机译:背景技术随着全球人口的快速老化,专家预计在全世界温和认知障碍(MCI)和痴呆症的患病率飙升。有人认为,在初级保健设置中开发更敏感,易于管理,有效的MCI筛选工具可以及时启动临床和个人护理计划和治疗,从而提前获得方案和服务。包括筛选测试中的功能能力措施使得它们更加生态,并且可能有助于识别早期阶段的认知缺陷。目标我们的目的是进行初步评估研究,比较Brailfx屏幕的敏感,特异性和可靠性(以下称为屏幕),这是一种新颖的数字工具,旨在评估功能能力并检测认知障碍的早期迹象,快速轻微认知障碍,验证和高度敏感的工具,可在老年人人口中检测MCI。我们还将调查屏幕对初级保健做法的感知有用性和整合,以确定对临床工作流程和医疗保健提供者(HCP)作为筛查工具的临床工作流程和卫生保健提供者的影响。患者对完成屏幕的看法及其对他们对生活质量的影响。方法本研究具有并发,混合方法,前瞻性和准实验设计。参与者将被招募5个初级保健家庭健康团队(FHTS;由加拿大西南部的多学科练习和资金)招聘。参与者将包括HCP,患者,护理合作伙伴和FHT行政管理人员。患者55岁及以上没有诊断历史,痴呆症或参加该研究的FHT中的一个FHT中分为的痴呆症或阿尔茨海默病将有资格参加。他们的护理合作伙伴将帮助三角化从患者收集的定性数据。参与的FHT将从其网站上识别职业治疗师以参与该研究;该HCP均均介绍研究方案并参与半系统的深入访谈和问卷。主成分分析将在屏幕数据上进行,以更好地了解测试组件。测试比较灵敏度,特异性和测试 - 保持性可靠性将评估屏幕的有效性作为MCI的筛选工具。结果本文介绍了迄今为止的研究方案及其活动。由于Covid-19对研究活动的限制,数据收集暂时停止,目前正在进行数据分析。结论在项目结束时,我们预计将屏幕的初始比较评估作为初级保健老年成年患者群体早期检测MCI的工具。对该研究的资源限制研究限制了我们进行随机对照试验的能力;但是,结果将帮助屏幕的开发人员确定是否有保证了严格的受控测试。

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