ArticlePloS one2021
Prevalence and factors which influence early antenatal booking among women of reproductive age in Tanzania: An analysis of data from the 2015-16 Tanzania Demographic Health Survey and Malaria Indicators Survey.
Article in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.
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Who cites it
6 citing papers in PubMed, 1 synthesis or guideline pooled it.
- First trimester antenatal care contact in Africa: a systematic review and meta-analysis of prevalence and contributing factors.BMC pregnancy and childbirth · 2023Pooled it
- Prevalence and factors associated with early antenatal care visit in Ghana: recent evidence from the 2022 Ghana Demographic and Health Survey.AJOG global reports · 2026Article
- Early antenatal care (ANC) booking and associated factors among pregnant women attending ANC services at public health facilities in Bahir Dar City Administration, Northwestern Ethiopia, 2023: a cross-sectional study.BMC pregnancy and childbirth · 2025Article
- Unlock the drivers of early ANC visits among pregnant women in Kasulu town council, Tanzania: an institutional cross-sectional study.Reproductive health · 2025Article
- The moderating role of partners' education on early antenatal care in northern Ghana.BMC pregnancy and childbirth · 2022Article
- Challenges in Diagnosis and Management of Second Trimester Omental Pregnancy in Limited Resource Settings: Case Report.The East African health research journal · 2022Article
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Abstract
backgroundEarly initiation of the antenatal clinic is vital as it allows early detection, management, and prevention of problems that may occur during pregnancy time. The analysis aimed to determine the prevalence and factors which influence early antenatal booking among women of reproductive age in Tanzania.
methodThe study used data from the 2015-16 Tanzania Demographic and Health Survey and Malaria Indicators Survey (2015-16 TDHS-MIS). A total of 6924 women of active reproductive age from 15 to 49 were included in the analysis. Both univariate and multiple regression analyses were used to determine predictors of early antenatal booking.
resultsOnly 1586 (22.9%) of pregnant women had early antenatal booking. After adjusted for the confounders, factors which influenced early antenatal booking were age of a woman [20 to 34 years, Adjusted Odds Ratio (AOR) = 1.554 at 95% Confidence Interval (CI) = 1.213-1.993, and more than 34 years, AOR = 1.758 at 95% CI = 1.306-2.368]; wealth status [rich, AOR = 1.520 at 95% CI = 1.282-1.802]; education level [higher education, AOR = 2.355 at 95% CI = 1.36-4.079]; parity [Para 2 to 3, AOR = 0.85 at 95% CI = 0.727-0.994 and Para 5+, AOR = 0.577 at 95%CI = 0.465-0.715]; zones [Unguja, AOR = 0.433 at 95% CI = 0.284-0.658 and Pemba, AOR = 0.392 at 95% CI = 0.236-0.649].
conclusionEarly antenatal booking in Tanzania is extremely low. Women who were more likely to initiate antenatal visits within the first 12 weeks are those from well-off families, those with higher education, primiparity women, and those from Tanzania mainland urban. The innovative interventional study is highly recommended to come up with an effective strategy to improve timing for antenatal booking.
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