Guo Huey-Ming, Shyu Yea-Ing Lotus, Chang Her-Kun
Department of Nursing, Yuan-pei University of Science and Technology, Hsin-Chu, Taiwan, ROC.
Stud Health Technol Inform. 2006;122:891.
In this article, the authors provide an overview of a research method to predict quality of care in home health nursing data set. The results of this study can be visualized through classification an regression tree (CART) graphs. The analysis was more effective, and the results were more informative since the home health nursing dataset was analyzed with a combination of the logistic regression and CART, these two techniques complete each other. And the results more informative that more patients' characters were related to quality of care in home care. The results contributed to home health nurse predict patient outcome in case management. Improved prediction is needed for interventions to be appropriately targeted for improved patient outcome and quality of care.
在本文中，作者概述了一种用于预测家庭健康护理数据集中护理质量的研究方法。这项研究的结果可以通过分类回归树（CART）图进行可视化。由于结合了逻辑回归和CART这两种相辅相成的技术对家庭健康护理数据集进行了分析，所以该分析更有效，结果也更具信息量。而且，更多患者特征与家庭护理中的护理质量相关，这使得结果更具信息量。这些结果有助于家庭健康护士在病例管理中预测患者的预后。为了使干预措施能适当地针对改善患者预后和护理质量，需要改进预测。
