上海市社区卫生服务影响因素的灰色关联度分析

Grey Relational Analysis on Influential Factors of Community Health Services in Shanghai

目的研究上海市社区卫生服务的影响因素,找出促进上海市社区卫生服务事业进一步发展的关键点。方法选取城镇居民家庭人均可支配收入、城镇居民消费结构(即恩格尔系数)、城镇职工基本医疗保险参保人数、社区卫生服务中心卫生技术人员数、社区卫生服务中心机构数、社区卫生服务中心床位数等6个因素,采用灰色关联度模型,分析以上6个因素对上海市社区卫生服务的影响。结果城镇居民家庭人均可支配收入、城镇居民消费结构(即恩格尔系数)、城镇职工基本医疗保险参保人数、社区卫生服务中心卫生技术人员数、社区卫生服务中心机构数、社区卫生服务中心床位数等6个因素的关联度分别为0.7784、0.6204、0.6713、0.8249、0.6120、0.7922。结论社区卫生服务机构卫生技术人员数对社区卫生服务的影响最大,其次是社区卫生服务中心床位数以及城镇居民家庭人均可支配收入。上海市今后应进一步加强社区卫生服务卫生技术人员的培养,特别是全科医生的培养;发展经济,深入优化医疗资源配置,推进医疗保险与社区卫生服务的接轨。

Objective To investigate the influential factors of community health services （CHS） in Shanghai so as to find out the key points for further development of CHS. Methods The six influential factors to community health services inclu- ding per capita disposable income in urban households, consumption structure of local residents （ or Engel＇s coefficient） , num- ber of urban employees participating in basic medical insurance system, number of health professional personnel in CHS centers, number of CHS centers and number of beds in CHS centers were chosen and analyzed by using grey relational analysis, in order to fined out their impact on CHS in Shanghai. Results The correlation degree of the six factors were 0. 7784, 0. 6204, 0. 6713, 0. 8249, 0. 6120, and 0. 7922, respectively. The number of health professional personnel in CHS centers had a greatest impact on CHS, following by the number of beds in CHS centers and per capita disposable income in urban households. Conclusion In future, it is necessary to further strengthen training of health personnel, especially general practitioners, in CHS centers in Shanghai. And it is also necessary to develop economy, to deeply optimize the allocation of medical resources and to promote the connection between health insurance and CHS institutions.