Zhang Lei, Wu Ming
Department of Health Policy and Management, Peking University School of Public Health, Beijing 100191, China.
Beijing Da Xue Xue Bao Yi Xue Ban. 2015 Jun 18;47(3):455-8.
To understand the status and identify the determinants of self-treatment of rural floating population in Beijing.
The data were derived from the Fourth National Health Service Investigation of China, part of which was about rural floating population in Beijing. According to Andersen health services utilization model, Binary Logistic Regression model was used to analyze the influencing factors.
In the study, 51.7% of the research objects were inclined to self-treatment when they ever felt uncomfortable or sick in Beijing. The Binary Logistic Regression model suggested that, some factors from predisposing, enabling and need, were statistically significant determinants of utilization of self-treatment.
There exists a certain percentage of self-treatment behavior for rural floating population in Beijing, and we should take some measures to promote the efficacy and safety of self-treatment.
了解北京市农村流动人口自我医疗的现状并确定其影响因素。
数据来源于第四次国家卫生服务调查,其中一部分是关于北京市农村流动人口的。依据安德森卫生服务利用模型,采用二元逻辑回归模型分析影响因素。
在本研究中,51.7%的研究对象在北京感到身体不适或生病时倾向于自我医疗。二元逻辑回归模型表明,一些来自倾向因素、促成因素和需求因素的因素是自我医疗利用的统计学显著决定因素。
北京市农村流动人口存在一定比例的自我医疗行为,应采取措施提高自我医疗的有效性和安全性。