■子宫平滑肌瘤(UL)是女性最常见的良性肿瘤之一,其发病率在中国逐渐上升。UL的临床并发症对女性健康有负面影响,治疗费用给患者带来了巨大的负担。诊断相关团体(DRG)是国际公认的先进的医疗保健支付管理方法,可以有效降低成本。然而,不同地区的DRG政策的设计和分组规则有所不同。因此,本研究旨在分析UL患者住院费用的影响因素,并优化DRG分组方案的设计,为制定本地化DRG分组政策提供见解.
■Mann-WhitneyU检验或Kruskal-WallisH检验用于单变量分析,采用多元逐步线性回归分析确定UL住院费用的主要影响因素.案例组合分类是在决策树框架内使用穷举卡方自动交互检测(E-CHAID)算法进行的。
■年龄,职业,住院次数,医疗保险的种类,转移到其他部门,停留时间(LOS)UL类型,入院条件,合并症和并发症,主要程序的类型,其他类型的外科手术,出院方式对住院费用有显著影响(P<0.05)。其中,主要程序的类型,其他类型的外科手术,LOS和LOS是影响住院费用的主要因素。通过合并主要程序的类型,其他类型的外科手术,和LOS进入决策树模型,患者分为11种DRG组合.
■UL的住院费用主要与主要手术类型有关,其他类型的外科手术,还有LOS.基于E-CHAID算法的ULDRG案例组合科学合理。
UNASSIGNED: Uterine leiomyoma (UL) is one of the most common benign tumors in women, and its incidence is gradually increasing in
China. The clinical complications of UL have a negative impact on women\'s health, and the cost of treatment poses a significant burden on patients. Diagnosis-related groups (DRG) are internationally recognized as advanced healthcare payment management methods that can effectively reduce costs. However, there are variations in the design and grouping rules of DRG policies across different regions. Therefore, this study aims to analyze the factors influencing the hospitalization costs of patients with UL and optimize the design of DRG grouping schemes to provide insights for the development of localized DRG grouping policies.
UNASSIGNED: The Mann-Whitney U-test or the Kruskal-Wallis H-test was employed for univariate analysis, and multiple stepwise linear regression analysis was utilized to identify the primary influencing factors of hospitalization costs for UL. Case combination classification was conducted using the exhaustive chi-square automatic interactive detection (E-CHAID) algorithm within a decision tree framework.
UNASSIGNED: Age, occupation, number of hospitalizations, type of medical insurance, Transfer to other departments, length of stay (LOS), type of UL, admission condition, comorbidities and complications, type of primary procedure, other types of surgical procedures, and discharge method had a significant impact on hospitalization costs (P<0.05). Among them, the type of primary procedure, other types of surgical procedures, and LOS were the main factors influencing hospitalization costs. By incorporating the type of primary procedure, other types of surgical procedures, and LOS into the decision tree model, patients were divided into 11 DRG combinations.
UNASSIGNED: Hospitalization costs for UL are mainly related to the type of primary procedure, other types of surgical procedures, and LOS. The DRG case combinations of UL based on E-CHAID algorithm are scientific and reasonable.