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目的对深圳市宝安区流动人口孕前保健依从性进行调查,分析其影响因素,对提高流动人口孕前保健依从性的模式进行探索,为优生优育提供依据。方法选取深圳市宝安区流动人口1 300名女工进行研究,采用自制调查问卷进行调查,观察流动人口孕前保健依从性的影响因素;对相关因素进行单因素及多因素Logistic回归分析。647名愿意接受干预模式为观察组,653名不愿接受干预措施为对照组。观察组实施孕前保健系统知识培训、系统化管理模式及现代化信息管理技术进行干预,比较两组孕前保健依从性情况,分析统计参加孕前保健和未参加孕前保健的女工计划妊娠率、不孕不育发生率、流产率、合并症发生率和出生缺陷儿等指标的差异性。结果 1 300名调查对象收回有效调查问卷1 279份,经单因素分析发现:不同年龄阶段、不同收入、不同职业人群孕前保健参与率比较,差异无统计学意义(P>0.05);但不同文化程度人群孕前保健参与率比较,差异有统计学意义(P<0.05);经多因素Logistic回归分析发现,不同文化程度是影响孕前保健参与率的独立危险因素(P<0.05)。观察组孕前保健的依从性高于对照组(P<0.05);参加孕前保健者的计划妊娠率高于未参加孕前保健者,流产率、合并症发生率和出生缺陷儿低于未参加孕前保健者,差异均有统计学意义(P<0.05)。结论影响流动人口孕前保健依从性的影响因素较多,应加强卫生服务系统建设,做好孕妇信息跟踪,定期进行相关培训,保证孕妇孕期保健的依从性,为优生优育提供基础。
Objective To investigate the prenatal health care compliance of floating population in Bao’an District of Shenzhen City, and to analyze its influencing factors, and to explore the mode of improving health compliance of floating population before pregnancy, which will provide evidence for prenatal and postnatal care. Methods A total of 1,300 women workers in Bao’an District of Shenzhen City were selected for the study. The questionnaires were used to investigate the influencing factors of prenatal health care compliance among the floating population. Logistic regression analysis was conducted by single factor and multivariate logistic regression analysis. 647 were willing to accept the intervention model for the observation group, 653 were reluctant to accept the intervention as a control group. The observation group carried out the prenatal care system knowledge training, the systematic management mode and the modern information management technology to intervene. The compliance of prenatal care before and after pregnancy was analyzed. The pregnancy rate of female workers who participated in pre- Incidence, abortion rate, the incidence of complications and birth defects in children and other indicators of the difference. Results One hundred and thirteen respondents retrieved 1 279 valid questionnaires. According to univariate analysis, there was no significant difference in pre-pregnancy health care participation rates among different income groups and occupations among different age groups (P> 0.05). However, different cultures (P0.05) .Multivariate logistic regression analysis showed that different education levels were independent risk factors influencing pre-pregnancy health care participation rate (P <0.05) .Conclusion: 1. The pre-pregnancy health compliance in the observation group was higher than that in the control group (P <0.05). The pre-pregnancy pregnancy rate was higher in those who participated in pre-pregnancy care than those who did not participate in pre-pregnancy care. The abortion rate, the incidence of comorbidity and birth defects were lower than those without pre- Those differences were statistically significant (P <0.05). Conclusion There are many influencing factors of prenatal health compliance in floating population. Health care system should be strengthened, information tracking of pregnant women should be done, relevant training should be carried out on a regular basis to ensure compliance of pregnant women during pregnancy and provide basis for prenatal and postnatal care.