TY - JOUR

T1 - Spatial variation and inequities in antenatal care coverage in Kenya, Uganda and mainland Tanzania using model-based geostatistics

T2 - a socioeconomic and geographical accessibility lens

AU - Macharia, Peter M.

AU - Joseph, Noel K.

AU - Nalwadda, Gorrette Kayondo

AU - Mwilike, Beatrice

AU - Banke-Thomas, Aduragbemi

AU - Benova, Lenka

AU - Johnson, Olatunji

PY - 2022/12/6

Y1 - 2022/12/6

N2 - BACKGROUND: Pregnant women in sub-Saharan Africa (SSA) experience the highest levels of maternal mortality and stillbirths due to predominantly avoidable causes. Antenatal care (ANC) can prevent, detect, alleviate, or manage these causes. While eight ANC contacts are now recommended, coverage of the previous minimum of four visits (ANC4+) remains low and inequitable in SSA.METHODS: We modelled ANC4+ coverage and likelihood of attaining district-level target coverage of 70% across three equity stratifiers (household wealth, maternal education, and travel time to the nearest health facility) based on data from malaria indicator surveys in Kenya (2020), Uganda (2018/19) and Tanzania (2017). Geostatistical models were fitted to predict ANC4+ coverage and compute exceedance probability for target coverage. The number of pregnant women without ANC4+ were computed. Prediction was at 3 km spatial resolution and aggregated at national and district -level for sub-national planning.RESULTS: About six in ten women reported ANC4+ visits, meaning that approximately 3 million women in the three countries had  20,000 women having CONCLUSIONS: These findings will be invaluable to policymakers for annual appropriations of resources as part of efforts to reduce maternal deaths and stillbirths.

AB - BACKGROUND: Pregnant women in sub-Saharan Africa (SSA) experience the highest levels of maternal mortality and stillbirths due to predominantly avoidable causes. Antenatal care (ANC) can prevent, detect, alleviate, or manage these causes. While eight ANC contacts are now recommended, coverage of the previous minimum of four visits (ANC4+) remains low and inequitable in SSA.METHODS: We modelled ANC4+ coverage and likelihood of attaining district-level target coverage of 70% across three equity stratifiers (household wealth, maternal education, and travel time to the nearest health facility) based on data from malaria indicator surveys in Kenya (2020), Uganda (2018/19) and Tanzania (2017). Geostatistical models were fitted to predict ANC4+ coverage and compute exceedance probability for target coverage. The number of pregnant women without ANC4+ were computed. Prediction was at 3 km spatial resolution and aggregated at national and district -level for sub-national planning.RESULTS: About six in ten women reported ANC4+ visits, meaning that approximately 3 million women in the three countries had  20,000 women having CONCLUSIONS: These findings will be invaluable to policymakers for annual appropriations of resources as part of efforts to reduce maternal deaths and stillbirths.

KW - Research

KW - Antenatal care

KW - Inequities

KW - Household wealth

KW - Maternal education

KW - Travel time to healthcare

KW - Model-based geostatistics

KW - Subnational

KW - District

KW - Kenya

KW - Uganda

KW - Tanzania

U2 - 10.1186/s12884-022-05238-1

DO - 10.1186/s12884-022-05238-1

M3 - Journal article

C2 - 36474193

VL - 22

JO - BMC Pregnancy Childbirth

JF - BMC Pregnancy Childbirth

SN - 1471-2393

IS - 1

M1 - 908

ER -