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2013年-2017年重庆地区某三甲医院妇科出院患者疾病谱分析 被引量:13

Analysis on Disease Spectrum of Discharged Patients in Gynecology Department of a Hospital in Chongqing from 2013 to 2017
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摘要 目的分析重庆地区某三甲医院妇科出院患者疾病谱特点,指导该地区妇科疾病的预防救治工作。方法采用SAS9. 4软件对2013年1月1日-2017年12月31日的妇科出院患者病例数据进行回顾性统计分析。结果 2013年-2017年妇科前10位疾病依次为子宫平滑肌瘤、恶性肿瘤化疗、卵巢良性肿瘤、异位妊娠、子宫颈恶性肿瘤、子宫颈上皮内瘤变Ⅲ级、子宫内膜异位症、子宫肌腺病、卵巢恶性肿瘤、子宫内膜恶性肿瘤,共占74. 85%。5年间前10位疾病总构成无明显变化趋势。妇科出院患者的主要疾病包括上述前10位疾病以及女性生殖器脱垂和子宫内粘连,共占78. 98%。出院患者主要集中在40岁~49岁组,其次为30岁~39岁组,<20岁组的患者数最少。结论 5年间疾病顺位存在一致性,应根据妇科各疾病的分布特点,有针对性的加强诊治管理和保健宣教工作,提高医疗质量。 Objectives To analyze the characteristics of disease spectrum of discharged patients in gynecology department of a hospital in Chongqing for guiding the prevention and treatment of gynecologic diseases.Methods Gynecologic cases from January 1 st,2013 to December 31 st,2017 were analyzed retrospectively by using the SAS9.4 software.Results The top 10 diseases from 2013 to 2017 were leiomyoma of uterus,chemotherapy for malignant neoplasm,benign neoplasm of ovary,ectopic pregnancy,malignant neoplasm of cervix uteri,CIN gradeⅢ,endometriosis,adenomyosis,malignant neoplasm of ovary,and malignant neoplasm of endometrium,respectively,accounted for 74.85%.The total constituent ratio of top 10 diseases was no significant change during 5 years.The major gynecologic diseases of discharged patients include the first 10 diseases,female genital prolapse and intrauterine synechiae,accounted for 78.98%.Discharged patients were mainly concentrated in 40~49 years old group,followed by 30~39 years old group,and under 20 years old group was the least.Conclusions Disease spectrum was consistent during 5 years.In order to improve medical quality,the hospital must strengthen the management of diagnosis and treatment,and strengthen health education work according to the distribution characteristics of gynecological diseases.
作者 周玲玲 黄燕 Zhou Lingling;Huang Yan(Department of Information,Army Characteristic Medical Center,Chongqing 400042,China)
出处 《中国病案》 2019年第3期60-63,共4页 Chinese Medical Record
关键词 妇科 疾病谱 帕累托图 疾病构成 变化趋势 Gynaecology Disease spectrum Pareto chart analysis Disease composition Change trend
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