在评估与EORTC CAT核心物理功能时,使用先前信息来个性化开始项目选择
Morten Aa Petersen1,2, Hugo Vachon3, Johannes M Giesinger4
1Palliative Care Research Unit, Department of Geriatric and Palliative Medicine, Copenhagen University Hospital, Bispebjerg & Frederiksberg, Copenhagen, Denmark. Morten.Aagaard.Petersen@regionh.dk.
在使用跨域数据的计算机自适应测试 (CATs) 中对第一个问题进行个性化,可以提高EORTC CAT核心物理功能的测量精度,特别是在较短的测试中.
科学领域:
- 健康 结果 研究 研究 结果
- 心理测量 心理测量 心理测量
- 癌症护理质量测量 癌症护理质量测量
背景情况:
- 计算机自适应测试 (CAT) 通过根据先前的反应选择项目来提供个性化的评估.
- 在CAT中,最初的项目 (开始项目) 通常是固定的,因为缺乏先验的得分估计.
- 欧洲癌症研究和治疗组织 (EORTC) 的CAT核心评估了15个生活质量领域.
研究的目的:
- 评估使用跨领域信息来个性化EORTC CAT核心物理功能模块中的开始项目选择.
- 评估个性化起始项对测量精度的影响,与固定起始项相比.
主要方法:
- 线性回归模型预测了来自其他14个EORTC CAT核心领域的身体功能 (PF) 评分,使用来自10,084名癌症患者评估的数据.
- 进行了CAT的蒙特卡洛模拟,以比较个性化的测量精度与固定起始项.
主要成果:
- 跨领域预测显示了0.25-0.71之间的相关性,预测PF得分的57-85%在观察到的得分的1标准偏差内.
- 个别选择的起始项目在初始阶段提高了CAT测量精度.
- 个性化开始物品的好处在三种或更多物品被管理后显著减少.
结论:
- 线性回归可以有效地生成CAT开始项目选择的跨域预测.
- 个性化启动项目可以提高EORTC CAT核心的测量精度,特别是在短时间的测试管理中.
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