| 韩晓梅,王秀梅,阿布都沙拉木·依米提.宫颈癌患者住院费用的疾病诊断相关分组组合方式研究[J].中国肿瘤,2016,25(9):677-681. |
| 宫颈癌患者住院费用的疾病诊断相关分组组合方式研究 |
| Case Mix Scheme in DRGs for Hospitalization Expenses of Cervical Cancer |
| 投稿时间：2016-03-22 |
| DOI：10.11735/j.issn.1004-0242.2016.09.A003 |
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| 中文关键词: DRGs 决策树 宫颈癌 住院费用 |
| 英文关键词:DRGs decision tree cervical cancer hospitalization expenses |
| 基金项目:新疆医科大学人文社会科学基金(2014XYDSK48) |
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| 中文摘要: |
| 摘 要：［目的］ 探讨适合新疆地区宫颈癌的疾病诊断相关分组(DRGs)病例组合方案，制定宫颈癌患者住院费用的参考标准。［方法］ 以新疆某三级甲等肿瘤专科医院2010～2014年出院的2202例宫颈癌患者为样本，采用单因素方差分析和多元线性逐步回归分析，确定住院费用的主要影响因素，结合数据挖掘决策树的方法建立宫颈癌患者的DRGs病例组合方案。［结果］ 住院费用影响因素主要有：民族、住院天数、出院转归、伴随疾病、伴随疾病数、治疗方式，其中住院天数对住院费用的影响最大，通过对2202例宫颈癌患者分组，共形成9个DRGs组合和相对应的住院费用标准。［结论］ 以治疗方式为主要分类节点的DRGs分组方式，制定宫颈癌患者住院费用标准，有助于加强医疗质量管理，有利于诊疗流程的规范化，提高医院的经济效益和社会效益。 |
| 英文摘要: |
| Abstract：［Purpose］ To assess the case mix method in diagnosis-related groups (DRGs) for hospitalization expenses of cervical cancer patients in Xinjiang region. ［Methods］ A total of 2202 cases of cervical cancer discharged from Xinjiang Cancer Hospital during 2010-2014 were included in the study. The main factors determining the hospitalization costs were analyzed by ANOVA and multiple linear regression methods；and DRGs combination of cervical cancer cases was established by using data mining decision tree model. ［Results］ Hospitalization expenses of cervical cancer were mainly determined by ethnic group，length of stay，discharge outcomes，concomitant diseases，the number of diseases and treatment，which was affected most among all factors. A total of 9 DRGs combinations with corresponding standard hospital costs were formed. ［Conclusion］ In this study，the expenses standard of cervical cancer has been developed by using treatment as DRGs grouping nodes. |
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