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作 者:刘贵浩[1] 薛允莲[1] 耿庆山[1] LIU Gui-Hao;XUE Yun-Lian;GENG Qing-Shan(Guangdong Provincial People's Hospital,Guangdong Academy of Medical Sciences,Guangzhou,Guangdong 510080,China)
机构地区:[1]广东省人民医院广东省医学科学院,广东广州510080
出 处:《中国妇幼保健》2020年第10期1760-1764,共5页Maternal and Child Health Care of China
基 金:广东省医学科研基金项目(A2019509);广东省科技计划项目(2017ZC0276);广东省卫生经济学会科研项目(2019-WJMF-07)。
摘 要:目的探讨二胎政策开放后孕产妇就医行为特征及就医医院选择问题,为引导孕产妇科学就医提供参考。方法采用分层典型抽样方法对广东省935名孕产妇进行问卷调查。结果85.0%的孕产妇做过产前检查,产前检查≥5次者占72.6%。现有的孕期保健知识主要来源于网络占67.4%、医院宣传手册占51.1%和医院咨询门诊占50.3%。家庭年人均纯收入、文化程度、产检次数、医疗服务等候时间、怀孕次数、流产次数、活产子女数、是否参加母婴学校学习等12个指标是影响孕产妇选择就医医院的独立影响因素。结论二胎政策开放后应根据孕产妇个体特征提供有针对性的保健服务,引导孕产妇选择合适的医院就医,从而提高卫生服务利用效率,加快推进分级诊疗的实施。Objective To explore medical care conduct characteristics and hospital selection problems of pregnant and lying-in women after two-child policy,provide a reference basis for scientific guide of medical treatment.Methods Stratified typical sampling method was used to choose 935 pregnant and lying-in women in Guangdong Province for questionnaire survey.Results Among 935 pregnant and lyingin women,85.0%of them underwent prenatal examination,and 72.6%of them underwent prenatal examination for five or more than five times.The knowledge about health care during pregnancy was from network(67.4%),hospital brochures(51.1%),and outpatient consultation(50.3%).Twelve indexes were independent influencing factors of hospital selection of pregnant and lying-in women,such as family per capita net income,educational level,times of prenatal examination,waiting time for medical service,the number of pregnancy,the number of abortion,the number of live birth children,participating in maternal and child health school or not.Conclusion After the opening of two-child policy,targeted health care services should be provided according to the individual characteristics of pregnant and lying-in women,the pregnant and lying-in women should be guided to choose appropriate hospitals for medical treatment to improve the utilization efficiency of health services and accelerate the implementation of hierarchical diagnosis and treatment.
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