引用本文:金有欣,朴杰,杨立斌,康爽,李金梅,张薇,葛思澳,曹德品.黑龙江省医疗卫生机构医护人员的配置 及培养状况研究[J].中华医学教育探索杂志,2017,16(3):
黑龙江省医疗卫生机构医护人员的配置 及培养状况研究
Configuration of doctors and nurses in the healthcare service institutions and study on cultivation condition of Heilongjiang Province
DOI:
中文关键词:  黑龙江省,医护人员,配置,灰色预测模型,医护比
英文关键词:Heilongjiang Province,Doctors and nurses, Configuration, Grey prediction model, Doctor-to-nurse ratio
基金项目:黑龙江省规划办重大招标课题(GJA1214002)
作者单位E-mail
金有欣 哈尔滨医科大学 1573987278@QQ.com 
朴杰 哈尔滨医科大学  
杨立斌 哈尔滨医科大学  
康爽 黑龙江省卫生和计划生育委员会  
李金梅 黑龙江省卫生和计划生育委员会  
张薇 哈尔滨医科大学  
葛思澳 哈尔滨医科大学  
曹德品* 哈尔滨医科大学  
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中文摘要:
      目的 描述和分析黑龙江省医疗卫生机构医护人员的配置状况,在对医护人员数量进行预测的同时研究其培养状况。方法 运用Excel2007统计软件对2014年黑龙江省卫生人力资源数据进行描述性分析,分析医护人员配置现状;运用灰色预测模型分析2004-2014年黑龙江省医护人员的数量变化,预测黑龙江省2016-2018年医护人员数量。结果(1)截至2015年黑龙江省医护人员数量占总人口的0.42%,年龄构成以青壮年为主,学历结构以大学本科和大专为主,医护比为1:0.96。(2)用灰色预测模型预测得到2016-2018年黑龙江省医护人员数量在逐年提高,注册护士数的增长率高于执业医师数。结论 黑龙江省医学教育的改革和发展促进了医护人员职称结构和学历结构的优化,预计到2016年黑龙江省医护比倒置问题将得到彻底解决。
英文摘要:
      Objective To describe and analyze the status quo of the doctor and nurse configuration in Heilongjiang Province. To predict the number of medical staff and to research their cultivation condition. Methods Through the health workforce database of Heilongjiang Province in 2014, using Excel2007 statistical software analyzed the status quo of doctor and nurse configuration. Through the data of medical staff in Heilongjiang Province in 2004-2014, using the grey prediction model conducted analysis to forecast the number of medical staff in Heilongjiang Province during 2016-2018. Results (1) As of 2015, the number of doctors and nurses in Heilongjiang Province accounted for 0.42% of the total population, composed of mainly young and middle-aged staff and mostly with bachelor’s degree and junior college certificate. Doctor-to-nurse ratio was 1:0.96. (2)The grey prediction model indicates that the number of medical staff in Heilongjiang Province will increase year by year, and the inversion of doctor-to-nurse ratio will be eased. Conclusion The reform and development of medical education in Heilongjiang Province has promoted the optimization of the professional title structure and educational structure. It is expected that by 2016 Heilongjiang medical care ratio inversion problem will be completely resolved
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