认知自我评估工具的验证模拟了日本对老年司机的官方数字测试
Takayuki Asano1, Asako Yasuda1, Setsuo Kinoshita1
1Research and Development, Nippontect Systems Co. Ltd., Tokyo, JPN.
Cureus
|October 29, 2025
概括
MOGI应用程序为老年驾驶员提供了一种有效和可靠的方式来自我评估认知功能,与日本版本的迷你精神状态检查 (MMSE-J) 密切相关. 这种工具有助于早期发现认知能力下降.
科学领域:
- 老年学和认知健康
- 数字健康和医疗应用
- 道路安全和人口老龄化研究
背景情况:
- 在日本,老年司机的官方认知测试仅限于正式评估,防止全面的自我评估.
- 尼邦特克系统开发了一款基于平板电脑的应用程序"MOGI",让用户体验完整的官方自我评估测试.
- 需要可访问的工具来弥合正式认知评估和老年司机自我准备之间的差距.
研究的目的:
- 为了验证"MOGI"应用程序作为认知评估工具.
- 检查"MOGI"分数与日本版本的迷你精神状态考试 (MMSE-J) 之间的相关性.
- 为了评估"MOGI"的自动评分系统的可靠性.
主要方法:
- 一项涉及42名参与者 (平均年龄为76.4±8.2岁) 具有不同认知状态的横截面研究.
- 参与者完成了"MOGI"申请 (评估记忆和判断) 和MMSE-J.
- 类内相关系数 (ICC) 和斯皮尔曼等级相关性被用来评估得分协议和得分关系.
主要成果:
- 在"MOGI"的自动评分和手动评分之间发现了很好的一致性 (ICC = 0.97).
- 在"MOGI"总得分和MMSE-J得分之间观察到显著的,强大的正相关性 (ρ = 0.64,p<0.001).
- "MOGI"在通过MMSE-J评分定义的不同认知功能组中表现出了出色的区分能力.
结论:
- "MOGI"是一个有效可靠的认知评估工具,具有可靠的自动评分系统.
- 该应用程序提供了全面的评估经验,作为实践和自我监测的宝贵工具.
- "MOGI"可以有助于早期发现老年人认知能力下降,补充正式评估.
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