摘要
目的 分析某军队医院骨科门诊近5年军队伤病员的疾病构成及就诊特点,为合理配置医疗资源以及部队骨科疾病防治提供数据支撑.方法 调取某军队医院电子病历系统中近5年骨科门诊军队伤病员的病历资料,以每份门诊病历第一诊断为依据,根据伤病性质和部位分为创伤、脊柱、关节、手外、骨肿瘤、骨疾患6类疾病,使用SPSS 23.0软件统计分析不同年龄段患病率、疾病谱和就诊规律.结果 该院骨科门诊近5年共诊治军队伤病员23 853例,18～35岁年龄段占所有病例数的72.47％.近5年骨科门诊军队伤病员以膝关节病、腰椎间盘突出、腰肌劳损和软组织损伤多见,占所有骨科门诊军队伤病员的52.81％.军队人员骨科门诊就诊具有一定的周期规律、波动规律.结论 根据军队人员医疗保健需求规律的变化,医院要科学配置医疗资源,加强军队人员重点多发疾病防控和学科建设,提高医疗保障的精准性.
Abstract
Objective To analyze the disease composition and clinical characteristics of wounded,injured or sick(WIS)military personnel in the orthopedic clinic of an army hospital in recent 5 years,aiming to provide data support for rational allocation of medical resources and prevention and treatment of orthopedic diseases in the army.Methods The medical records of WIS military personnel in the orthopedic clinic in recent 5 years were collected from the electronic medical record system of an army hospital.According to the first diagnosis of each medical record,the diseases were divided into 6 types according to the nature and location of injuries,including trauma,spine,joint,hand injury,bone tumor and bone disease.SPSS 23.0 software was used to statistically analyze the prevalence rate,disease spectrum and treatment regularity of different age groups.Results In recent 5 years,23 853 WIS military personnel were treated in the orthopedic clinic of the hospital,72.47％of which were in the age group of 18-35 years old.In recent 5 years,knee joint disease,lumbar intervertebral disc herniation,lumbar muscle strain and soft tissue injury were the most common diseases,accounting for 52.81％of all WIS military personnel in the orthopedic clinic.The treatment of military personnel in the orthopedic clinic had a certain periodicity and fluctuation law.Conclusion According to the changes in the law of medical care requirements of military personnel,hospitals should allocate medical resources scientifically,strengthen the prevention and control of key diseases and discipline construction of military personnel,and improve the accuracy of medical security.
国家科技期刊平台
NSTL
维普
万方数据