title: [Analysis of the status and influential factors for prenatal care and postpartum visit among pregnant women based on the First Health Service Survey in Hunan Province].
abstract: To evaluate the status and influential factors for prenatal care and postpartum visit among pregnant women in Hunan Province from 2008 to 2013 based on the data from the First Health Service Survey in Hunan Province.  Methods: Based on the data of prenatal care and postpartum visit among pregnant women from the First Health Service Survey of Hunan Province in 2013, proportion of pregnant women, who didn't meet the criteria for prenatal care and postpartum visit, were calculated (≥5 times for prenatal care and ≥2 times for postpartum visit, according to the National Basic Public Health Service program, 2009 Edition). Multivariable logistic regression models were used to identify the influencial factors.  Results: A total of 1 035 eligible women were included in data analysis. The proportion of pregnant women who did not meet the criteria were 40.12% (95% CI 24.91%-55.33%) for prenatal care and 64.88% (95% CI 39.70%-90.06%) for postpartum visit. After adjusting other confounding factors, pregnant women with middle- and high-income had lower proportions of not meeting the criteria than those with low-income, with adjusted odds ratios of 0.41 and 0.39, respectively. Multiparae had higher proportion of not meeting the criteria than primiparas, with adjusted odds ratio of 1.54, and pregnant women with age 25-34 years and 35-64 years had lower proportions of not meeting the criteria than those with age 15-24 years. In term of postpartum visit, pregnant women with middle- to high-income had lower proportions of not meeting the criteria than those with low-income, with adjusted odds ratios of 0.50, 0.46 and 0.54, respectively; multiparae had higher proportion of not meeting the criteria than primiparas, with the adjusted odds ratio of 2.30.  Conclusion: Proportions of pregnant women of not meeting the criteria are high in Hunan Province. Local government should strengthen the management to decrease the proportions of pregnant women who do not meet the standard in prenatal care and postpartum visit, especially for those mulparae with low family income and young age.
authors.affiliation: Department of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Changsha 410078; Hospital Evaluation Office, Xiangya Hospital, Central South University, Changsha 410008, China.
authors.forename: Wei
authors.initials: W
authors.lastname: Zhang
authors.affiliation: Department of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Changsha 410078, China.
authors.forename: Xunjie
authors.initials: X
authors.lastname: Cheng
authors.affiliation: Department of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Changsha 410078; Department of Medical Administration, Xiangya Hospital, Central South University, Changsha 410008, China.
authors.forename: Lin
authors.initials: L
authors.lastname: Zhang
authors.affiliation: Department of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Changsha 410078, China.
authors.forename: Peishan
authors.initials: P
authors.lastname: Ning
authors.affiliation: Department of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Changsha 410078, China.
authors.forename: Li
authors.initials: L
authors.lastname: Li
authors.affiliation: Hospital Evaluation Office, Xiangya Hospital, Central South University, Changsha 410008, China.
authors.forename: Xin
authors.initials: X
authors.lastname: Deng
authors.affiliation: Department of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Changsha 410078, China.
authors.forename: Jing
authors.initials: J
authors.lastname: Deng
authors.affiliation: Department of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Changsha 410078, China.
authors.forename: Guoqing
authors.initials: G
authors.lastname: Hu
mesh_terms: D000328:Adult; D000367:Age Factors; D002681:China / Q000453:epidemiology; D005260:Female; D006297:Health Services Accessibility / Q000706:statistics & numerical data*; D006801:Humans; D007182:Income / Q000706:statistics & numerical data; D016015:Logistic Models; D009313:National Health Programs / Q000706:statistics & numerical data*; D016017:Odds Ratio; D010298:Parity; D011181:Postnatal Care / Q000706:statistics & numerical data*; D011247:Pregnancy; D011295:Prenatal Care / Q000706:statistics & numerical data*; D011795:Surveys and Questionnaires