10.5061/DRYAD.W3R2280S8
Mlandu, Chenai
0000-0001-6160-7023
University of the Witwatersrand
East African countries' data on late initiation of antenatal care
Dryad
dataset
2021
FOS: Other medical sciences
South African Medical Research Council
https://ror.org/05q60vz69
2022-06-10T00:00:00Z
2022-06-10T00:00:00Z
en
4175627 bytes
8
CC0 1.0 Universal (CC0 1.0) Public Domain Dedication
Background: Early antenatal care is critical for the mother and newborn’s
health. Antenatal care is often delayed in Sub-Saharan Africa. The study
aims to examine the trends and determinants of late antenatal care
initiation in the Democratic Republic of Congo, Kenya, and Tanzania from
2007 to 2016. Methods: The study employed Demographic Health Surveys data
of reproductive-age women seeking antenatal care in the Democratic
Republic of Congo (2007-2013/14), Kenya (2008-2014), and Tanzania
(2010-2015/16). Bivariate and multivariate analysis was conducted per
survey, taking sampling weights into account. The determinants of late
antenatal care initiation were measured using multivariate logistic
regression models and the trends were assessed using prediction scores.
Results: Late antenatal care initiation declined in Tanzania (60.9%-49.8%)
and Kenya (67.8%-60.5%) but increased in the Democratic Republic of Congo
(56.8%-61.0%) between surveys. In the Democratic Republic of Congo, higher
birth order was associated with antenatal care initiation delays from 2007
to 2014, whilst rural residency (AOR:1.28;95%CI:1.09-1.52), lower maternal
education (AOR:1.29;95%CI:1.13-1.47) and lower-income households
(AOR:1.30;95%CI:1.08-1.55) were linked to antenatal care initiation delays
in 2014. In Kenya, lower maternal education and lower-income households
were associated with antenatal care initiation delays from 2008 to 2014,
whilst rural residency (AOR:1.24;95%CI:1.11-1.38) and increased birth
order (AOR:1.12; 95%CI:1.01-1.28) were linked to antenatal care initiation
delays in 2014. In Tanzania, higher birth order and larger households were
linked to antenatal care initiation delays from 2010 to 2016, whilst
antenatal care initiation delays were associated with lower maternal
education (OR:1.51;95%CI:1.16-1.97) in 2010 and lower-income households
(OR:1.45;95%CI:1.20-1.72) in 2016. Conclusion: Except for the Democratic
Republic of Congo, the sub-region is making progress in reducing antenatal
care delays. Women from various geographic, educational, parity, and
economic groups exhibited varying levels of delayed antenatal care uptake.
Increasing women’s access to information platforms and strengthening
initiatives that enhance female education, household incomes, and
localised services may enhance early antenatal care utilisation.