Evidence map›Paper›PMID 39673767›Full record

ArticleHealth policy and planning2025

Maternal health planning and prioritization in Chad: developing a supportive tool.

Ana Krause, Alexandre Quach, Yamingué Betinbaye, Mindekem Rolande, Florence Mgawadere, Charles A Ameh

Abstract read
In one paragraph

Article in Health policy and planning, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Ana KrauseDepartment of International Public Health, Liverpool School of Tropical Medicine, Pembroke Pl, Liverpool L3 5QA, United Kingdom.ORCID 0000-0002-9665-5102
Alexandre QuachDepartment of International Public Health, Liverpool School of Tropical Medicine, Pembroke Pl, Liverpool L3 5QA, United Kingdom.ORCID 0000-0002-9990-7571
Yamingué BetinbayeCentre de Recherche en Anthropologie et Sciences Humaines, Avenue Bezo - Quartier Kabalaye 6542, N'Djamena, Chad.ORCID 0000-0002-7194-5373
Mindekem RolandeCentre de Support en Santé Internationale, BP:972, Angle Kondol-Charles Degaulle, Moursal, N'Djamena, Chad.ORCID 0000-0001-7595-478X
Florence MgawadereSchool of Health and Life Sciences, University of Liverpool, Brownlow Hill, Liverpool L69 3GB, United Kingdom.ORCID 0000-0003-3341-9118
Charles A AmehDepartment of International Public Health, Liverpool School of Tropical Medicine, Pembroke Pl, Liverpool L3 5QA, United Kingdom.ORCID 0000-0002-2341-7605

Funding

Global Fund to Fight AIDS, Tuberculosis and Malaria TCD-H-MOH N1816Global Fund to Fight AIDS, Tuberculosis and Malaria TCD-H-MOH No. 1816Programme Management Unit (Unité de Gestion des Projets - UGP) of Chad's Ministry of Public Health (MSP) TCD-H-MOH N1816Programme Management Unit (Unité de Gestion des Projets - UGP) of Chad's Ministry of Public Health (MSP) TCD-H-MOH No. 1816
6 · The paper itself

Abstract

The Republic of Chad has one of the highest rates of maternal mortality in the world. With scarce resources to respond to competing demands, pragmatic evidence-based planning tools are needed to aid planning and support priority setting. This action research aimed to develop a tool to support maternal health (MH) planning and prioritization decisions and identify priority regions/provinces for intervention in Chad based on aggregate MH coverage gap scores (Target-Coverage = Coverage Gap). A rapid review was conducted to identify key indicators and relevant national targets. The 2019 Multiple Indicator Cluster Survey and other national surveys were the data sources for selected indicators at the provincial level. Aggregate MH coverage gaps were calculated and displayed using geographic information system software to visualize variations by province. Eleven key informant interviews (KIIs) and six focus group discussions (FGDs) were conducted with clinicians and administrators to understand existing MH planning, prioritization, and maternal mortality risks in Chad. Wide provincial variation in aggregate MH coverage gaps was identified (mean score 374.3, SD: 77.4). Indicators contributing the most to coverage gaps include emergency obstetric care, adolescent births, tetanus vaccination, and delivery by skilled health personnel. Two weighting scenarios for the coverage gap scores are also considered. KIIs and FGDs revealed that existing MH planning in Chad differs provincially and by health system level, with no clear prioritization processes identified. Main themes regarding MH risks reported by stakeholders included challenges relating to the health system, policy landscape, country and population-specific factors, along with specific MH threats. Current centralized planning approaches may benefit from greater consideration of provincial differences to support more efficient and equitable resource distribution. This multi-indicator assessment offers an adaptable approach for evidence-based MH resource allocation to prioritize subnational areas with worst health indicators in resource-limited settings, although further research is needed to test its impact.

Indexed as

Health PlanningHealth PrioritiesMaternal HealthMaternal Health ServicesChadFemaleFocus GroupsHumansMaternal MortalityPregnancyaction researchChaddecision-makinggeographic information systemhealth planninglocal authoritymaternal healthprioritiesprioritizationqualitative researchstrategic planning

Identifiers

PMID39673767
PMCPMC11886784

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.