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Published on: January 12, 2018
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Maternal health planning and prioritization in Chad: developing a supportive tool.
Ana Krause1, Alexandre Quach1, Yamingué Betinbaye2
1Department of International Public Health, Liverpool School of Tropical Medicine, Pembroke Pl, Liverpool L3 5QA, United Kingdom.
Health Policy and Planning
|December 14, 2024
Summary
Chad faces high maternal mortality. This study developed an evidence-based tool to identify priority regions for maternal health interventions, revealing significant provincial disparities in coverage gaps.
Area of Science:
- Global Health
- Public Health Policy
- Health Systems Research
Background:
- Chad exhibits one of the world's highest maternal mortality rates.
- Resource limitations necessitate pragmatic, evidence-based tools for maternal health (MH) planning and priority setting.
Purpose of the Study:
- To develop a tool for MH planning and prioritization decisions in Chad.
- To identify priority regions/provinces for intervention using aggregate MH coverage gap scores.
Main Methods:
- Conducted a rapid review to identify key MH indicators and national targets.
- Utilized 2019 Multiple Indicator Cluster Survey data for provincial-level indicator analysis.
- Calculated aggregate MH coverage gaps and visualized provincial variations using GIS.
- Gathered qualitative data through key informant interviews and focus group discussions.
Main Results:
- Identified wide provincial variations in aggregate MH coverage gaps (mean score 374.3).
- Key indicators contributing to coverage gaps include emergency obstetric care, adolescent births, tetanus vaccination, and skilled birth delivery.
- Qualitative data revealed diverse provincial MH planning approaches and identified health system challenges, policy issues, and population-specific factors impacting MH.
Conclusions:
- Existing centralized MH planning in Chad may not adequately address provincial differences, potentially hindering efficient resource distribution.
- The developed multi-indicator assessment provides an adaptable framework for evidence-based MH resource allocation in resource-limited settings.
- Prioritizing subnational areas with the most significant health indicator gaps is crucial for improving equitable MH outcomes.
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