一个模型的开发,以预测在12个月内在家庭护理客户的认知衰退
Gary Cheung1, Ruth Teh2, Eamon Merrick3
1Department of Psychological Medicine, School of Medicine, The University of Auckland, Auckland, New Zealand.
Journal of clinical nursing
|March 19, 2025
概括
使用interRAI数据的新模型可以预测没有痴呆症的家庭护理客户的认知衰退. 这使得早期干预有可能改善患者的治疗结果.
科学领域:
- 老年学是指老年学的学科.
- 临床信息学 临床信息学
- 认知健康 认知健康
背景情况:
- 对没有痴呆症诊断的家庭护理客户来说,认知能力下降是一个重大问题.
- 早期识别有风险的个体对于及时干预和护理规划至关重要.
研究的目的:
- 在家庭护理客户中,在12个月内开发和验证认知衰退的预测模型.
- 使用interRAI家庭护理数据,识别有认知能力下降风险的个体.
主要方法:
- 使用导出队列 (75%的样本) 开发了一个多变量逻辑回归模型.
- 共同变量包括人口统计,健康状况,功能和来自interRAI的健康指数尺度.
- 该模型在一个单独的队列 (25%的样本) 上使用c-统计学对辨别能力进行了验证.
主要成果:
- 这项研究包括6796名家庭护理客户 (平均年龄82岁).
- 预测模型在导出队列中达到0.70的c统计值,在验证队列中达到0.69的c统计值.
- 该模型包含了21个主要效应和8个显著的相互作用术语.
结论:
- interRAI数据有效地支持开发一个模型来识别有认知衰退风险的个体.
- 积极的临床干预和护理规划可以通过这种风险识别来促进.
- 该模型显示了适度的区分能力,表明了进一步改进和改进的潜力.
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