摘要
目的探索广东省58个县及县级市县域内住院率的空间特征及其影响因素,为制定有效措施提高县域内住院率提供参考依据。方法利用2014年广东省58个县及县级市县域内住院率及统计年鉴中的相关指标,采用空间自相关分析及广义估计方程模型来分析县域内住院率的空间格局和区域差异影响因素。结果广东省58个县及县级市的县域内住院率为80.24%。局部空间自相关分析显示:在西翼出现了高-高聚集,在珠三角出现了一个低-低聚集和一个低-高聚集区域,广义估计方程模型显示人均储蓄存款余额、当地居民到最近三级医院的距离、当地医院服务能力排名及65岁以上所占比例均对县域内住院率有影响(P<0.05)。结论提升县域内住院率是一项系统工程,应根据当前当地的卫生发展状况、社会经济和人口发展特点制定有针对性的卫生发展策略。
Objective To explore the spatial characteristics and influencing factors of hospitalization rate in 58 counties and county-level cities of Guangdong,providing a reference for the development of effective measures to improve the county hospitalization rate. Methods With 58 counties and county-level cities hospitalization rates of Guangdong province and related indicators in statistical yearbook of 2014,the spatial autocorrelation analysis and generalized estimating equations model was utilized to analyze it. Results The hospitalization rate in 58 counties and county-level cities of Guangdong province was 80.24%. The local autocorrelation analysis revealed that western Guangdong had a high-high cluster and there were low-low cluster and low-high cluster in Pearl River Delta region. The result of the generalized estimating equations model revealed that per capita savings deposits,the distance of local residents to the nearest tertiary hospital,local hospital service capabilities ranking and the proportion of over 65 years were the influencing factors of hospitalization rate(P<0.05). Conclusion To improve the hospitalization rate in the county is a systematic project,which should be based on the current local health development,socio-economic and population development characteristics to develop targeted health development strategy.
出处
《现代医药卫生》
2018年第4期490-494,共5页
Journal of Modern Medicine & Health
基金
广东省卫生和计划生育委员会委托项目(2015016)
关键词
住院病人/统计学和数值数据
统计学(主题)
自动数据处理
县域内住院率
空间自相关
广义估计方程
影响因素
Inpatients/statistics & numerical data
Statistics as topic
Automatic data processing
Hospitalization rate in country
Spatial autocorrelation
Generalized estimating equations
Influencing factors