切换至 "中华医学电子期刊资源库"

中华妇幼临床医学杂志(电子版) ›› 2026, Vol. 22 ›› Issue (04) : 305 -314. doi: 10.3877/cma.j.issn.1673-5250.2026.04.005

论著

2020—2025年上海市儿童社区获得性肺炎单病种10项质量控制指标的监测结果趋势分析
刘枭雄1, 苏玲1, 张晓波1,2, 叶颖子1, 桂永浩1,2, 谭申生3, 马晴1, 柳龚堡1, 陈尔真3, 叶宁3, 董晨杰3, 王艺1,(), 顾丹萍3,()   
  1. 1国家儿童医学中心 复旦大学附属儿科医院,上海 201102
    2国家卫生健康委员会新生儿疾病重点实验室(复旦大学),上海 201102
    3上海市医疗质量控制管理事务中心,上海 200040
  • 收稿日期:2026-06-27 修回日期:2026-07-18 出版日期:2026-08-01
  • 通信作者: 王艺, 顾丹萍

Trend analysis of single-disease quality control monitoring indicators for pediatric community-acquired pneumonia in Shanghai from 2020 to 2025

Xiaoxiong Liu1, Ling Su1, Xiaobo Zhang1,2, Yingzi Ye1, Yonghao Gui1,2, Shensheng Tan3, Qing Ma1, Gongbao Liu1, Erzhen Chen3, Ning Ye3, Chenjie Dong3, Yi Wang1,(), Danping Gu3,()   

  1. 1National Children′s Medical Center / Children′s Hospital of Fudan University, Shanghai 201102, China;
    2National Health Commission (NHC) Key Laboratory of Neonatal Diseases (Fudan University), Shanghai 201102, China;
    3Shanghai Medical Quality Control Management Center, Shanghai 200040, China
  • Received:2026-06-27 Revised:2026-07-18 Published:2026-08-01
  • Corresponding author: Yi Wang, Danping Gu
  • Supported by:
    Shanghai Municipal Commission of Economy and Informatization, Corpus Construction for Large Language Models in Pediatric Respiratory Diseases(2024-GZL-RGZN-01013); The Decision Support System for Shanghai Municipal Health Commission, Early Warning and Auxiliary Diagnosis and Treatment of Pediatric Severe Pneumonia(2025ZHYL040); Municipal Hospital Frontier Joint Research Project, Study on Evaluation Indicator Construction and Clinical Application Management for Assisted Diagnostic and Treatment Large Language Model in Pediatric Severe Pneumonia(SHDC12024136); Applying and Evaluating a Medical Large Language Model for the Diagnosis and Treatment of Pediatric Severe Pneumonia(EKYX202409); Shanghai Municipal Hospital Pediatric Specialist Alliance(SHDC22024307-A, SHDC22024307-B)
引用本文:

刘枭雄, 苏玲, 张晓波, 叶颖子, 桂永浩, 谭申生, 马晴, 柳龚堡, 陈尔真, 叶宁, 董晨杰, 王艺, 顾丹萍. 2020—2025年上海市儿童社区获得性肺炎单病种10项质量控制指标的监测结果趋势分析[J/OL]. 中华妇幼临床医学杂志(电子版), 2026, 22(04): 305-314.

Xiaoxiong Liu, Ling Su, Xiaobo Zhang, Yingzi Ye, Yonghao Gui, Shensheng Tan, Qing Ma, Gongbao Liu, Erzhen Chen, Ning Ye, Chenjie Dong, Yi Wang, Danping Gu. Trend analysis of single-disease quality control monitoring indicators for pediatric community-acquired pneumonia in Shanghai from 2020 to 2025[J/OL]. Chinese Journal of Obstetrics & Gynecology and Pediatrics(Electronic Edition), 2026, 22(04): 305-314.

目的

探讨2020—2025年上海市不同类别医疗机构儿童社区获得性肺炎(CAP)单病种质控指标的监测结果变化趋势。

方法

选择2020年1月1日至2025年12月31日上海市102家医疗机构收治的儿童CAP单病种质控指标(儿童CAP出院例数、重症CAP住院比例、病情严重程度评估率、抗菌药物使用率、机械通气率、输血率、住院死亡率、平均住院日、住院次均费用及住院次均药费10项)的6年监测结果为研究对象。对102家医疗机构按照医疗机构类别进行分层,包括A类(n=44,三级综合医院),B类(n=35,二级综合医院),C类(n=3,三级儿童专科医院),D类[n=20,其他医疗机构(中医医院、妇幼保健机构、传染病及公共卫生机构等)],分别提取上海市医疗服务监测与评价系统中关于这4类医疗机构的儿童CAP质控指标的6年监测结果,并分析其年度变化特征。对于4类医疗机构的重症CAP住院比例、病情严重程度评估率等计数资料采用百分比(%)表示,并采用Cochran-Armitage趋势检验,分析这4类医疗机构的上述指标年度变化趋势;对于儿童CAP平均住院日、住院次均费用及住院次均药费等定量资料以平均值表示,并进行描述性年度变化特征分析。

结果

① 2020—2025年,上海市102家医疗机构共纳入儿童CAP出院病例为183 307例,A、B、C、D类占比分别为49.25%(90 279/183 307)、16.89%(30 961/183 307)、33.08%(60 632/183 307)、0.78%(1 435/183 307)。4个类别机构中,C类收治的重症CAP住院患儿比例最高,A、B、C类收治的重症CAP住院患儿比例均呈下降趋势,并且变化趋势比较,差异有统计学意义(Z=-8.93、-2.84、-4.64,P<0.05)。② A、B、C、D类医疗机构儿童CAP病情严重程度评估率总体改善,年度变化趋势比较,差异均有统计学意义(Z=21.61、21.76、25.76、10.73,P<0.001);C类的抗菌药物使用率呈下降趋势,B、D类呈升高趋势,年度变化趋势比较,差异均有统计学意义(Z=-36.84、19.36、15.51,P<0.001)。③儿童CAP机械通气率在C类总体高于其他3类机构,但是呈下降趋势(Z=-4.40,P<0.001),A类呈先升后降变化趋势(Z=-3.08,P=0.002);A、C类的儿童CAP输血率均呈下降趋势(Z=-9.56、-21.28,P<0.001)。④4类医疗机构的儿童CAP住院死亡率总体处于较低水平,其中A、B、C类的住院死亡率呈下降趋势(Z=-17.64、-1.97、-4.62,P<0.05);平均住院日总体呈缩短趋势,A、C类下降较为明显。A、C类的儿童CAP住院次均费用和住院次均药费总体呈下降趋势,B、D类的年度间波动较明显。

结论

2020—2025年,上海市儿童CAP单病种质控指标的监测结果总体呈改善趋势,已形成较为明确的分层收治格局。A类承担儿童CAP主要收治任务,C类在重症CAP患儿的救治中发挥重要作用。未来应结合医疗机构功能定位,完善儿童CAP单病种的分层质控和信息化管理体系,进一步提升区域儿童CAP诊疗质量和管理水平。

Objective

To investigate trends in the monitored single-disease quality-control indicators for pediatric community-acquired pneumonia (CAP) across different categories of medical institutions in Shanghai from 2020 to 2025.

Methods

Six-year monitoring data on 10 single-disease quality-control indicators for pediatric CAP were collected from 102 medical institutions in Shanghai between January 1, 2020, and December 31, 2025. The indicators included the number of pediatric CAP discharges, proportion of severe CAP cases among hospitalized patients, severity assessment rate, antibiotic use rate, mechanical ventilation rate, blood transfusion rate, in-hospital mortality rate, average length of stay, average hospitalization cost per case, and average medication cost per case. The 102 medical institutions were stratified into four categories: category A (n=44, tertiary general hospitals), category B (n=35, secondary general hospitals), category C (n=3, tertiary children′s specialty hospitals), and category D (n=20, other medical institutions, including traditional Chinese medicine hospitals, maternal and child health institutions, infectious disease hospitals, and public health institutions). Six-year monitoring data for the four categories were extracted from the Shanghai Medical Service Monitoring and Evaluation System, and their annual changes were analyzed. Proportion indicators, including the proportion of severe CAP cases among hospitalized patients and the severity assessment rate, were expressed as percentages and analyzed using the Cochran-Armitage trend test. Quantitative indicators, including average length of stay, average hospitalization cost per case, and average medication cost per case, were expressed as means and analyzed descriptively for annual changes.

Results

① From 2020 to 2025, a total of 183 307 pediatric CAP discharge cases were included from 102 medical institutions in Shanghai. Patients from categories A, B, C, and D institutions accounted for 49.25% (90 279/183 307), 16.89% (30 961/183 307), 33.08% (60 632/183 307), and 0.78% (1 435/183 307), respectively. The proportion of severe CAP cases among hospitalized patients was highest in category C institutions. This proportion decreased significantly in categories A, B, and C institutions (Z=-8.93, -2.84, and -4.64, respectively; all P<0.05). ② The severity assessment rate improved overall across all four categories institutions, with statistically significant annual trends (Z=21.61, 21.76, 25.76, and 10.73, respectively; all P<0.001). The antibiotic use rate decreased in category C institutions but increased in categories B and D, with statistically significant annual trends (Z=-36.84, 19.36, and 15.51, respectively; all P<0.001). ③ The mechanical ventilation rate was generally higher in category C institutions than in the other three categories institutions but showed a decreasing trend (Z=-4.40, P<0.001). Category A institutions showed an increase followed by a decrease (Z=-3.08, P = 0.002). Blood transfusion rates decreased in categories A and C institutions (Z=-9.56 and -21.28, respectively; both P<0.001). ④ In-hospital mortality remained low overall across the four categories and decreased in categories A, B, and C institutions (Z=-17.64, -1.97, and -4.62, respectively; all P<0.05). Average length of stay shortened overall, with more pronounced reductions in categories A and C institutions. Average hospitalization cost per case and average medication cost per case generally decreased in categories A and C institutions, whereas more marked year-to-year fluctuations were observed in categories B and D institutions.

Conclusions

From 2020 to 2025, the monitored single-disease quality-control indicators for pediatric CAP in Shanghai showed an overall improving trend, and a relatively clear stratified admission pattern was observed. Category A institutions undertook the largest share of pediatric CAP admissions, whereas category C institutions played an important role in the management of severe pediatric CAP. Future quality-control efforts should consider the functional roles of different medical institutions, improve the stratified quality-control and information technology-enabled management systems for pediatric CAP, and further enhance the quality and management of regional pediatric CAP care.

表1 本研究纳入的儿童CAP单病种10项质控指标及其定义
图4 2020-2025年上海市4类医疗机构的儿童CAP住院次均药费变化趋势折线图
表2 2020-2025年上海市4类医疗机构的儿童重症CAP住院比例变化趋势比较[%(n/n′)]
表3 2020-2025年上海市4类医疗机构的儿童CAP病情严重程度评估率变化趋势比较[%(n/n′)]
表4 2020-2025年上海市4类医疗机构的儿童CAP抗菌药物使用率变化趋势比较[%(n/n′)]
表5 2020-2025年上海市4类医疗机构的儿童CAP机械通气率变化趋势比较[%(n/n′)]
表6 2020-2025年上海市4类医疗机构的CAP输血率变化趋势比较[%(n/n′)]
表7 2020-2025年上海市4类医疗机构的儿童CAP住院死亡率变化趋势比较[%(n/n′)]
[1]
中华医学会儿科学分会呼吸学组,中华儿科杂志编辑委员会,中国医药教育协会儿科专业委员会. 儿童社区获得性肺炎管理指南(2024修订)[J]. 中华儿科杂志202462(10):920-930. DOI: 10.3760/cma.j.cn112140-20240728-00523.
[2]
王晓倩,何雯,王青,等. 2018到2022年上海地区儿童重症社区获得性肺炎流行病学特征的横断面调查[J]. 中国循证儿科杂志202419(6):445-450. DOI:10.3969/j.issn.1673-5501.2024.06.007.
[3]
崔光焕,许示沂,张俊艳,等. 2022—2024年山西某医院儿童社区获得性肺炎病原学与流行病学特征[J]. 中华医院感染学杂志202636(12):1921-1926. DOI:10.11816/cn.ni.2026-253051.
[4]
赵雨菲,刘瀚旻. 儿童常见病原体所致社区获得性肺炎胸部X射线摄片影像学表现[J/OL]. 中华妇幼临床医学杂志(电子版)202218(1):7-14. DOI:10.3877/cma.j.issn.1673-5250.2022.01.002.
[5]
国家卫生健康委员会. 国家卫生健康委办公厅关于进一步加强单病种质量管理与控制工作的通知:国卫办医函〔2020〕624号[EB/OL].(2020-07-23)[2026-04-21].

URL    
[6]
马旭东,王建伟,张超黎,等. 我国单病种质量管理工作回顾及思考[J].中国卫生质量管理202229(7):1-4,8. DOI:10.13912/j.cnki.chqm.2022.29.07.01.
[7]
李岳霖,高梦阳,张武军,等. 单病种质量管理模式的构建与能力提升[J].现代医院202323(6):882-884,889.
[8]
金必青,顾浩翔,吴蓓蓉,等. 儿童社区获得性肺炎住院时间的影响因素分析[J].同济大学学报(医学版)2023, 44(5): 689-695.
[9]
段友红,郭普,梁友宝,等. 某三甲医院2019-2022年儿童社区获得性肺炎病原流行病学特征[J].分子诊断与治疗杂志2024, 16(12): 2265-2269.DOI:10.19930/j.cnki.jmdt.2024.12.037.
[10]
陈曦,吴银霞,何青,等. 嘉兴地区2023—2024年儿童社区获得性肺炎病原学特征分析[J]. 中国乡村医药2026, 33(4): 8-10. DOI: 10.19542/j.cnki.1006-5180.2503-088.
[11]
杨芬,周亚兵,丁国栋,等. 儿童社区获得性肺炎的病原学特征及轻症和重症之间的差异:一项单中心回顾性研究[J].同济大学学报(医学版), 2026, 47(3): 449-456.
[12]
张永威,刘玉华. 利用列线图区分0~12岁社区获得性肺炎患儿肺炎支原体和病毒感染的探索性研究[J/OL]. 中华妇幼临床医学杂志(电子版)2025, 21(2):180-188. DOI: 10.3877/cma.j.issn.1673-5250.2025.02.009.
[13]
上海市卫生健康委员会. 关于印发《上海市三级医院评审标准实施细则(2023年版)》的通知:沪卫医〔2023〕91号[EB/OL]. (2023-10-17) [2026-06-25].

URL    
[14]
中国医药教育协会儿科专业委员会,中华医学会儿科学分会呼吸学组哮喘协作组,中国医师协会呼吸医师分会儿科呼吸工作委员会,等. 儿童呼吸道病毒感染的非药物干预专家共识[J]. 中华实用儿科临床杂志202338(6):413-420. DOI:10.3760/cma.j.cn101070-20230424-00327.
[15]
杨晓晶,庄良金. 儿童社区获得性肺炎诊治信息化单病种质量管理实施研究 [J]. 中国卫生标准管理2025, 16(10): 60-63. DOI: 10.3969/j.issn.1674-9316.2025.10.015.
[16]
刘枭雄,柳龚堡,桂永浩,等. 2019—2024年上海市市级医院儿内科重点病种收治现况和直接疾病经济负担的横断面调查[J]. 中国循证儿科杂志2025, 20(2): 95-101. DOI: 10.3969/j.issn.1673-5501.2025.02.003.
[17]
姜屹楠,王萍,张海芹,等. 智能化单病种数据库及上报系统的应用实践[J]. 医学信息2025, 38(7): 38-42, 59. DOI:10.3969/j.issn.1006-1959.2025.07.006.
[18]
李建,张红,王兆宇. 基于临床专科能力发展的单病种管理系统的实施与应用[J]. 中国卫生标准管理2025, 16(22): 16-19. DOI:10.3969/j.issn.1674-9316.2025.22.004.
[1] 陆思妤, 王红燕, 高璐滢, 蔡思曼, 李建初, 姜玉新. 基于多中心大样本的乳腺超声报告质量问题与原因分析[J/OL]. 中华医学超声杂志(电子版), 2026, 23(05): 360-368.
[2] 陈曼, 郑雯, 常才, 俞清, 肖沪生, 赵宝珍, 施仲伟, 陈悦, 李丽蟾, 王文平. 上海市超声诊断设备配置现状调查与质量控制管理策略优化[J/OL]. 中华医学超声杂志(电子版), 2026, 23(05): 369-373.
[3] 赵卓非, 赖贝金, 孙德胜. 深圳市超声医学质量管理与控制现状分析[J/OL]. 中华医学超声杂志(电子版), 2026, 23(05): 374-379.
[4] 陆爱美, 朱玲斐, 邱勤, 谢晓红, 张意珍. 品管圈在颈动脉超声检查质量控制中的应用效果[J/OL]. 中华医学超声杂志(电子版), 2026, 23(05): 380-386.
[5] 陈诺, 罗细顺, 刘福, 章敏, 成晨, 赵胜. 人工智能质控平台在提高中孕期系统性超声检查图像质量中的应用价值[J/OL]. 中华医学超声杂志(电子版), 2026, 23(03): 228-235.
[6] 刘聪, 毛冰清, 甄允方, 方建峰, 文军, 刘一聪, 钱涛, 刘尧. 肱骨外髁骨折合并肘关节脱位的临床分析[J/OL]. 中华关节外科杂志(电子版), 2026, 20(03): 266-274.
[7] 高宇, 郑薇, 李丽丽, 钟威, 魏乾伟, 李一辰. 基于CiteSpace的我国儿童肠道菌群领域研究热点及趋势的文献计量学分析[J/OL]. 中华妇幼临床医学杂志(电子版), 2026, 22(03): 239-249.
[8] 田雨, 罗蓉. 注意缺陷多动障碍功能缺陷评估量表的研究与临床应用现状[J/OL]. 中华妇幼临床医学杂志(电子版), 2026, 22(03): 185-193.
[9] 郜敏, 殷宗琦, 郑捷新, 窦懿, 易磊. 采用指蹼动脉穿支三角皮瓣立体复位修复小儿指蹼瘢痕的疗效观察[J/OL]. 中华损伤与修复杂志(电子版), 2026, 21(04): 253-258.
[10] 张猛, 李军, 李娜, 孙豪, 韩军涛. 小儿烧伤后手指掌侧瘢痕的临床分型与治疗方式探讨[J/OL]. 中华损伤与修复杂志(电子版), 2026, 21(03): 177-182.
[11] 张中喜, 邹加良, 张清池, 刘云钦, 江俊学. 儿童Pantaloon疝四例诊治报道并文献复习[J/OL]. 中华疝和腹壁外科杂志(电子版), 2026, 20(03): 357-360.
[12] 卢璐, 黄操, 段建华, 谷云飞, 王浩. 保留括约肌挂线术联合阿达木单抗治疗儿童克罗恩病肛瘘的长期疗效及预测指标分析[J/OL]. 中华结直肠疾病电子杂志, 2026, 15(03): 200-208.
[13] 王海洋, 沈永锋, 俞文华. 从技术普及到质量控制:脑神经显微血管减压术规范化发展的若干思考[J/OL]. 中华脑科疾病与康复杂志(电子版), 2026, 16(03): 129-134.
[14] 张迪迪, 魏盼龙, 王秀萍, 田富香. 胃充盈超声评估功能性消化不良患儿治疗前后胃排空功能的临床研究[J/OL]. 中华消化病与影像杂志(电子版), 2026, 16(04): 337-340.
[15] 桂红, 马博, 王煜, 刘晓晖. Alvarado评分、超声特征联合血清CXCR3、RANTES水平在儿童阑尾炎诊断及分型中的临床价值[J/OL]. 中华消化病与影像杂志(电子版), 2026, 16(04): 341-346.
阅读次数
全文


摘要


AI


AI小编
你好!我是《中华医学电子期刊资源库》AI小编,有什么可以帮您的吗?