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作 者:徐梦秋[1] 丁丽萍[1] Xu Mengqiu;Ding Liping(Zhejiang Provincial People′s Hospital,People′s Hospital of Hangzhou Medical College, Hangzhou 310014, China)
机构地区:[1]浙江省人民医院(杭州医学院附属人民医院)病案与统计科,浙江杭州310014
出 处:《中国医院统计》2020年第5期416-419,共4页Chinese Journal of Hospital Statistics
摘 要:目的探索前列腺癌的疾病诊断相关分组,为该病种付费方式和住院费用标准提供参考。方法经多因素线性回归分析前列腺癌住院费用的影响因素,筛选出分类节点变量;运用决策树卡方自动互动检测算法模型进行诊断相关分组,评价模型,计算住院费用标准、病种权重。结果诊疗方式、合并症与并发症、年龄分组,进入回归方程(F=1334.574,P<0.001,R2=0.711);决策树模型共分成8个诊断相关组和对应的费用标准、病种权重(模型风险值为0.193,各分组CV值在0.01~0.07之间,RIV=0.76)。结论前列腺癌分组合理,住院费用标准和病种权重可为医院和医保机构提供数据支持和决策参考。Objective Explored diagnosis related groups of prostatic cancer,and provided references for payment method and hospitalization standard expenses.Methods Screened group nodes of prostatic cancer by multiple linear regression,and established the diagnosis related groups by CHAID of decision tree.Evaluated model and calculated hospitalization standard expenses and weight of each group.Results Operation methods,comorbiditiesand complcations,agegroups,were group nodes(F=1334.574,P<0.001,R2=0.711).Decisiontree model divided into 8 diagnosis related groups,and calculated hospitalization standard expenses and weights(value at risk is 0.193,CV varied between 0.01 and 0.07,RIV=0.76).Conclusions Thediagnosis related groups of prostatic cancer are reasonable,and hospitalization standard expenses and weight of each group may provide data support and decision reference for hospitals and health care institutions.
分 类 号:R195.4[医药卫生—卫生统计学]
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