Department of Community Medicine, University of Calabar, Calabar, Nigeria.
Department of Obstetrics and Gynaecology, University of Calabar, Calabar, Nigeria.
Afr Health Sci. 2022 Mar;22(1):139-151. doi: 10.4314/ahs.v22i1.18.
With maternal mortality ratio of 2,000/100,000 live births and perinatal mortality rate of 40/1,000 total births, Cross River State is one of the states with the highest maternal and perinatal deaths in Nigeria. One of the causes of these poor health indices is low utilization of facility-based maternal and child healthcare services during pregnancy and childbirth. The objective of this study was to assess the predictors of utilization of antenatal care and delivery services in Akpabuyo, a rural community in Cross River State of Nigeria.
This was an analytical cross-sectional survey. Data were collected from 370 pregnant women between June and July, 2013 and analyzed using SPSS version 25.
Binary logistic regression showed that compared with women with tertiary education, women with non-formal education were less likely to attend antenatal clinic (AOR=0.510, 95% CI=0.219-1.188) although the difference was not statistically significant. Also, compared with farmers, full-time housewives were less likely to deliver in a health facility (AOR=0.650, 95% CI=0.305-1.389) while civil servants were nearly five times more likely to deliver in the health facility (AOR=4.750, 95%CI=1.616-13.962).
The predictors of antenatal care and facility delivery services utilization identified by the study were educational status and occupation. This raises the need for policies and programmes to ensure girl child education and the economic empowerment of women.
克罗斯河州的孕产妇死亡率为 2000/10 万活产，围产儿死亡率为 1000 例活产中有 40 例，是尼日利亚孕产妇和围产儿死亡人数最多的州之一。这些不良健康指标的原因之一是在怀孕期间和分娩时，利用基于设施的孕产妇和儿童保健服务的比例较低。本研究的目的是评估在尼日利亚克罗斯河州阿帕布约的农村社区中，利用产前护理和分娩服务的预测因素。
这是一项分析性的横断面调查。2013 年 6 月至 7 月期间，从 370 名孕妇中收集数据，并使用 SPSS 版本 25 进行分析。
二元逻辑回归显示，与具有正规教育的妇女相比，具有非正规教育的妇女不太可能参加产前检查（AOR=0.510，95%CI=0.219-1.188），尽管差异无统计学意义。此外，与农民相比，全职家庭主妇在卫生机构分娩的可能性较小（AOR=0.650，95%CI=0.305-1.389），而公务员在卫生机构分娩的可能性几乎高出五倍（AOR=4.750，95%CI=1.616-13.962）。
该研究确定的产前护理和设施分娩服务利用的预测因素是教育程度和职业。这就需要制定政策和方案，确保女童教育和妇女的经济赋权。
