一个研究评估框架来测量认知. 在跨国背景下从四个英语老年人群中吸取的经验教训
Shabina Hayat1, Sarah Assaad1, Carol Brayne2
1University College London.
Research square
|January 7, 2025
概括
数据协调对于全球认知研究至关重要. 一个新的框架和检查清单改善了HCAP数据质量,跨国可比性和老龄化研究中的偏见监测.
科学领域:
- 老年学是一门学科.
- 认知科学 认知科学
- 流行病学 流行病学
背景情况:
- 协调认知评估协议 (HCAP) 是评估全球老年人群认知能力的重要工具.
- 数据协调对于在各种国际研究中利用HCAP数据至关重要.
- 关于纵向研究和HCAP实施的现有文献为方法改进提供了基础.
研究的目的:
- 为评估和实施"协调认知评估协议" (HCAP) 制定一个概念框架.
- 创建一个原型检查清单,以提高HCAP数据质量,跨国可比性和偏差管理.
- 为HCAP数据协调提供透明和结构化的方法.
主要方法:
- 一种混合方法的方法,整合了对纵向研究的现有理论.
- 详细调查了四项英语HCAP研究:ELSA,HRS,TILDA和NICOLA.
- 确定60个因素,为概念框架和检查清单开发提供信息.
主要成果:
- 为HCAP的评估和实施制定了一个全面的概念框架.
- 创建了一个原型检查清单,以指导HCAP现场工作和数据管理.
- 该框架涉及关键领域:组织,人员能力,实施和沟通.
结论:
- 拟议的框架和检查清单提供了一个结构化的方法,以提高HCAP数据质量和跨国可比性.
- 仔细考虑运营现场工作方面对于在国际环境中成功协调HCAP数据至关重要.
- 该工具有助于识别,减轻和监测认知衰老研究中的偏见来源.
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