使用分类与回归树分析识别姑息治疗项目登记率低的人群组。
Identifying population groups with low palliative care program enrolment using classification and regression tree analysis.
作者信息
Gao Jun, Johnston Grace M, Lavergne M Ruth, McIntyre Paul
机构信息
Health Canada, Centre for Vaccine Evaluation, Biologics and Genetic Therapies Directorate, Ottawa, Ontario, Canada.
出版信息
J Palliat Care. 2011 Summer;27(2):98-106.
Classification and regression tree (CART) analysis was used to identify subpopulations with lower palliative care program (PCP) enrolment rates. CART analysis uses recursive partitioning to group predictors. The PCP enrolment rate was 72 percent for the 6,892 adults who died of cancer from 2000 and 2005 in two counties in Nova Scotia, Canada. The lowest PCP enrolment rates were for nursing home residents over 82 years (27 percent), a group residing more than 43 kilometres from the PCP (31 percent), and another group living less than two weeks after their cancer diagnosis (37 percent). The highest rate (86 percent) was for the 2,118 persons who received palliative radiation. Findings from multiple logistic regression (MLR) were provided for comparison. CART findings identified low PCP enrolment subpopulations that were defined by interactions among demographic, social, medical, and health system predictors.
分类与回归树（CART）分析用于识别姑息治疗项目（PCP）登记率较低的亚人群。CART分析使用递归划分来对预测变量进行分组。在加拿大新斯科舍省两个县2000年至2005年期间死于癌症的6892名成年人中，PCP登记率为72%。PCP登记率最低的是82岁以上的养老院居民（27%）、居住在距离PCP超过43公里的人群（31%）以及癌症诊断后存活不到两周的另一组人群（37%）。接受姑息性放疗的2118人的登记率最高（86%）。提供了多重逻辑回归（MLR）的结果用于比较。CART分析结果确定了由人口统计学、社会、医疗和卫生系统预测变量之间的相互作用所定义的低PCP登记亚人群。
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