糖尿病预期寿命预测模型输入和患者调查结果与电子健康记录抽象相比较:调查研究研究
Sean Bernstein1, Sarah Gilson2, Mengqi Zhu2
1Rush University Medical Center, Chicago, IL, United States.
JMIR aging
|November 14, 2023
概括
为死亡预测模型收集患者报告的结果 (PRO) 可以通过调查或电子健康记录 (EHR) 抽象来完成. 虽然调查捕获了更多的功能状态细节,但整体模型性能仍然相似,尽管子组分配可能不同.
科学领域:
- 临床信息学 临床信息学
- 老年医学 老年医学
- 医疗保健服务研究 医疗服务研究
背景情况:
- 预测模型在临床实践中越来越重要,通常依赖于患者报告的结果 (PRO).
- 收集这些模型的基本数据的最佳方法尚不清楚.
- 电子健康记录 (EHR) 抽象和患者调查是两种潜在的数据收集方法.
研究的目的:
- 为了比较死亡率预测模型输入和结果得分的准确性.
- 评估通过电子健康记录 (EHR) 抽象收集的数据与患者调查.
- 评估不同数据收集方法对临床建议的影响.
主要方法:
- 患有2型糖尿病的老年人 (≥65) 参加了一项护理管理试验.
- 参与者完成了一项电子调查,以捕捉并发性疾病和功能状态.
- 来自调查的数据与对单个输入和模型整体性能的图表评论进行了比较.
主要成果:
- 在功能状态数据中发现了显著的差异,调查发现了更多患者报告的困难.
- 调查和图表审查之间的共患病状况数据的差异不那么明显.
- 总体死亡率预测得分显示,这两种数据来源之间的差异不大 (P=.82).
结论:
- 尽管特定数据点的变化,特别是功能状态,死亡预测模型使用调查和EHR抽象数据进行了类似的性能.
- 数据收集方法的差异导致20%的参与者对预期寿命子组的分配不一致.
- 需要进行更大规模的研究来验证这些发现并确定临床意义.
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