ArticleMaternal and child health journal2022
Characteristics and Predictors of Late Antenatal Booking Among Pregnant Women in Fiji.
Article in Maternal and child health journal, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed, 3 citations in OpenAlex.
- Multilevel analysis of late antenatal care booking and its predictors among pregnant women in extremely high and very high maternal mortality sub-Saharan African countries: evidence from recent demographic and health surveys data.BMC pregnancy and childbirth · 2025Article
- Perspectives of primary healthcare nurses on cultural practices contributing to late antenatal booking in South Africa.Health SA = SA Gesondheid · 2025Article
- Factors Associated with Late Antenatal Initiation among Women in Malawi.International journal of environmental research and public health · 2024Article
Corrections and comments
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Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveAntenatal Care (ANC) plays a pivotal role in improving child and maternal health. Even though antenatal coverage in Fiji is more than 95%, the majority of pregnant women fail to initiate ANC within the first trimester. Thus, the research aimed to determine factors that are associated with late antenatal booking among pregnant women who delivered in Ba Mission Hospital (BMH) in Fiji in 2019.
methodsSecondary data analysis was done using SPSS version 24 on 340 pregnant women who had delivered in BMH from January 1 to December 31, 2019 and met the eligibility criteria. A data extraction sheet was used to collect information on socio-demographic, obstetric, and medical factors.
resultsThe prevalence of late booking in BMH in 2019 was 79.7%. The results of the bivariate analysis showed that being from I-taukei ethnicity (AOR: 2.36; p = 0.003), an unmarried woman (AOR: 2.5; p = 0.004), and women with < eight ANC visits (AOR: 3.7; p < 0.001) during the pregnancy were significant predictors of late antenatal booking. Multivariate analysis showed that only < eight ANC visits were a significant determinant of late antenatal booking (COR: 3.6; p < 0.001).
conclusionThe burden of late antenatal booking in Ba is higher than those of some other developing nations. Efforts are needed to create community awareness on the importance of early ANC booking. The significant factor identified should inform policymakers on how to influence pregnant women to come for an early booking for ANC.
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