基于DRGs付费和倾向性评分匹配的血液病患者血流感染流行特征和资源消耗

Epidemiological characteristics and resource consumption analysis of bloodstream infections in patients with hematologic diseases based on DRGs and propensity score matching

  • 摘要: 目的 探讨基于疾病诊断相关分组(DRGs)的血液病患者血流感染流行特征和资源消耗情况,为精细化医院感染管理提供参考。方法 收集2023年1月-2024年12月苏州大学附属第一医院血液病患者的临床资料,回顾性分析重点DRGs细分组的血流感染发病率、病原菌分布以及与同组非医院感染患者的住院时间、住院费用差异。结果 共纳入11 919例血液病患者,发生血流感染164例,发病率为1.38%。医院感染患者主要分布在7个DRGs细分组,其中AG19 异基因造血干细胞移植(伴净化)、AG29 异基因造血干细胞移植(不伴净化)和RB19(急性白血病化学治疗和/或其他治疗)三组的感染例数和感染发病率均较高(3.75%~8.11%)。各组病原菌有一定差异,均以肺炎克雷伯菌、大肠埃希菌为主,多重耐药菌主要为碳青霉烯类耐药肠杆菌科细菌。发生血流感染时,RE11(恶性增生性疾患的化学治疗和/或其他治疗,伴有严重并发症或合并症组)的平均住院日、平均住院费用、不同项目住院费用均有所增加(P<0.05),而AG29组和RB19组无统计学差异。AG19患者感染组平均住院日相似,但平均住院费用增加了3.55万元(P<0.05)。结论 针对血液病患者血流感染高发和高经济负担的主要DRGs细分组进行干预,有利于控制医疗费用和提升医疗服务质量。

     

    Abstract: OBJECTIVE To explore the epidemiological characteristics of bloodstream infections in the patients with hematologic diseases based on diagnosis related groups (DRGs) and analyze the status of resource consumption so as to provide bases for refined management of health care-associated infections (HAIs). METHODS The clinical data were collected from the patients with hematologic diseases who were treated in the First Affiliated Hospital of Suzhou University from Jan. 2023 to Dec. 2024. The incidence of bloodstream infections and distribution of pathogens in the DRGs groups were retrospectively analyzed, and the differences in the length of hospital stay and hospitalization costs were compared between the patients with HAIs and the patients without HAIs in the same group. RESULTS A total of 11 919 patients with hematologic diseases were enrolled in the study, of whom 164 had bloodstream infections, with the incidence rate 1.38%. The patients with HAIs mainly distributed in 7 DRGs groups; the number of infection cases was larger and the incidence of infections was higher in the AG19 group allogeneic hematopoietic stem cell transplantation (with purification), the AG29 group allogeneic hematopoietic stem cell transplantation (without purification), and the RB19 group (chemotherapy and/or other treatments for acute leukemia), and the incidence of infections ranged between 3.75% and 8.11%. The groups varied in the distribution of pathogens and were dominated by Klebsiella pneumoniae and Escherichia coli; carbapenem-resistant Enterobacteriaceae was the predominant multidrug-resistant organism. The average length of hospital stay, average hospitalization cost and different items of hospitalization costs increased in the RE11 group when the bloodstream infections occurred(P<0.05), however, there were no significant differences between the AG19 group and the RB19 group. In the AG19 group, the average length of hospital stay of the patients with infections was similar to that of the patients without infections, however, the average hospitalization cost was increased by 35,500 yuan(P<0.05). CONCLUSION It is an effective way to take interventions to the hematologic disease patients with high prevalence of bloodstream infections and high economic burden based on DRGs so as to control the medical cost and raise the quality of medical service.

     

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