Decomposing Rural-Urban Variations in Maternal Healthcare Utilisation Among Women of Reproductive Age in Tanzania. Evidence from the 2022 Tanzania Demographic Health Survey

This study analysed the factors influencing the utilisation of maternal healthcare services among women of reproductive age in Tanzania, using data from the 2022 Tanzania Demographic and Health Survey (TDHS). A Fairlie decomposition technique was employed to decompose differences in maternal healthcare service utilisation between rural and urban areas in Tanzania. The findings revealed that rural women, on average, have a lower probability of utilising maternal healthcare services compared to urban women. The decomposition analysis showed that the rural-urban gap in maternal healthcare utilisation is primarily explained by differences in household wealth index (37.2%), women’s education level (18.1%), distance to health facilities (12.6%), exposure to media (8.7%), insurance coverage (3.9%), and occupational status (4.1%). The study recommends targeted interventions to improve maternal healthcare utilisation, including empowering women through enhanced access to resources and opportunities. Key strategies include promoting girls’ education beyond primary school through scholarships or vocational training to improve socio-economic outcomes. Moreover, leveraging mass media to raise awareness, streamlining insurance enrolment, and reducing out-of-pocket maternity care expenses are emphasized. The study suggests reliable transportation, expanded telehealth services, and the establishment of satellite clinics in underserved areas to enhance access.

Authors

Publication Details

Journal
Rural Planning Journal/Rural planning journal
Published
2025-02-01
DOI
https://doi.org/10.59557/rpj.26.2.2024.90
Citations
1
Primary Topic
Global Maternal and Child Health
Type
article
Field-Weighted Citation Impact
3.49
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Decomposing Rural-Urban Variations in Maternal Healthcare Utilisation Among Women of Reproductive Age in Tanzania. Evidence from the 2022 Tanzania Demographic Health Survey

Nelson Ndifwa, Tumaini Mujuni Katunzi, Baraka Kengela
1 citations
Rural Planning Journal/Rural planning journal
Global Maternal and Child Health
3.49
article

Decomposing Rural-Urban Variations in Maternal Healthcare Utilisation Among Women of Reproductive Age in Tanzania. Evidence from the 2022 Tanzania Demographic Health Survey

Nelson Ndifwa, Tumaini Mujuni Katunzi, Baraka Kengela
article en
1 citations

Abstract

This study analysed the factors influencing the utilisation of maternal healthcare services among women of reproductive age in Tanzania, using data from the 2022 Tanzania Demographic and Health Survey (TDHS). A Fairlie decomposition technique was employed to decompose differences in maternal healthcare service utilisation between rural and urban areas in Tanzania. The findings revealed that rural women, on average, have a lower probability of utilising maternal healthcare services compared to urban women. The decomposition analysis showed that the rural-urban gap in maternal healthcare utilisation is primarily explained by differences in household wealth index (37.2%), women’s education level (18.1%), distance to health facilities (12.6%), exposure to media (8.7%), insurance coverage (3.9%), and occupational status (4.1%). The study recommends targeted interventions to improve maternal healthcare utilisation, including empowering women through enhanced access to resources and opportunities. Key strategies include promoting girls’ education beyond primary school through scholarships or vocational training to improve socio-economic outcomes. Moreover, leveraging mass media to raise awareness, streamlining insurance enrolment, and reducing out-of-pocket maternity care expenses are emphasized. The study suggests reliable transportation, expanded telehealth services, and the establishment of satellite clinics in underserved areas to enhance access.

Rural Planning Journal/Rural planning journalVol. 26(2)
Openalex Percentile: Top 12%
Global Maternal and Child Health
3.49
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.