成都市某三甲医院住院患者来源构成及影响因素分析  

Analysis on the Source Composition and Influencing Factors of Inpatients in a Three A and Tertiary Hospital in Chengdu

作　　者：李平[1] 郑寒芝 Li Ping;Zheng Hanzhi(Medical Record Management Center,Chengdu Second People's Hospital,Chengdu 610011,Sichuan Province,China;不详)

机构地区：[1]成都市第二人民医院病案管理中心,四川省成都市610011 [2]四川大学华西第二医院护理部,四川省成都市610011

出　　处：《中国病案》2023年第2期61-63,共3页Chinese Medical Record

基　　金：四川省卫生经济学会科研课题(2021SCWJA024)。

摘　　要：目的 分析成都市某三甲医院患者地区分布特点及影响因素,为管理者调整发展策略提供科学依据。方法 利用医院病案信息管理软件采集2016年1月1日到2021年10月31日出院的413786份住院病案首页现住址进行统计,采用SPSS20.0统计软件,采用构成比分析患者来源;运用Pearson相关性系数,分析人口流动、就诊时间成本及医疗技术水平与某院各地级市来源患者人数的关系。结果 某院省内患者占比由92.2%下降至90.1%,省外占比由7.8%上升至9.9%,其中成都市患者由71.6%下降至59.5%,变化显著;某院各地级市患者来源与人口流入成都人数呈正相关关系(相关系数r=0.831,P=0.0001),与公共交通时间呈负相关关系(相关系数r=-0.504,P=0.023)。结论 人口流动和就诊时间成本是影响患者就诊的重要因素,医院应充分利用地理位置及交通优势,同时不断提高医疗技术水平,促进医院可持续发展。Objectives To analyze the regional distribution characteristics and influencing factors of patients in a Three A and Tertiary Hospital in Chengdu, and provide a scientific basis for managers to adjust development strategies. Methods The hospital medical record information management software was used to collect 413,786inpatient medical records discharged from the hospital from January 1st, 2016 to October 31st, 2021. The homepage and current addresses were used for statistics. SPSS20.0 statistical software was used, and the composition ratio and correlation analysis method was used to analyze the patients Source composition ratio, the relationship between population mobility, cost of medical treatment time and medical technology level and the number of patients from a hospital at the local level. Results In a hospital, the proportion of patients in the province decreased from 92.2% to 90.1%, and the proportion of patients outside the province increased from 7.8% to 9.9%, among which the proportion of patients in Chengdu decreased from 71.6% to 59.5%, significant changes;there was a positive correlation between the source of patients in the hospital and the number of population inflows into Chengdu(correlation coefficient r=0.831, P=0.0001). Public transportation time was negatively correlated(correlation coefficient r=-0.504, P=0.023). Conclusions Population mobility and cost of consultation time were important factors affecting patients’ consultation. Hospitals should make full use of their geographical location and transportation advantages, and at the same time, continuously improve the level of medical technology to promote the sustainable development of hospitals.

关 键 词：医疗服务半径 患者来源 医院管理 影响因素 

分 类 号：R197.32[医药卫生—卫生事业管理]