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Record W2736149315 · doi:10.1186/s12961-017-0209-5

Promoting research to improve maternal, neonatal, infant and adolescent health in West Africa: the role of the West African Health Organisation

2017· article· en· W2736149315 on OpenAlexfundno aff
Issiaka Sombié, Aissa Bouwayé, Yves Mongbo, Namoudou Kéita, Virgil Kuassi Lokossou, Ermel Johnson, Laurent Assogba, Xavier Crespin

Bibliographic record

VenueHealth Research Policy and Systems · 2017
Typearticle
Languageen
FieldMedicine
TopicGlobal Maternal and Child Health
Canadian institutionsnot available
FundersInternational Development Research Centre
KeywordsHealth services researchPublic healthMedicineHealth administrationChild healthHealth policyEnvironmental healthHealth economicsPediatricsEconomic growthNursingFamily medicine

Abstract

fetched live from OpenAlex

West Africa has adopted numerous strategies to counter maternal and infant mortality, provides national maternal and infant health programmes, and hosts many active technical and financial partners and non-governmental organisations. Despite this, maternal and infant morbidity and mortality indicators are still very high. In this commentary, internal actors and officials of the West African Health Organisation (WAHO) examine the regional organisation's role in promoting research as a tool for strengthening maternal and infant health in West Africa.As a specialised institution of the Economic Community of West African States (ECOWAS) responsible for health issues, WAHO's mission is to provide the sub-region's population with the highest possible health standards by harmonising Member States' policies, resource pooling, and cooperation among Member States and third countries to collectively and strategically combat the region's health problems. To achieve this, WAHO's main intervention strategy is that of facilitation, as this encourages the generation and use of evidence to inform decision-making and reinforce practice.WAHO's analysis of interventions since 2000 showed that it had effected some changes in research governance, management and funding, as well as in individual and institutional capacity building, research dissemination, collaboration and exchanges between the various stakeholders. It also revealed several challenges such as process ownership, member countries' commitment, weak individual and institutional capacity, mobilisation, and stakeholder commitment. To better strengthen evidence-based decision-making, in 2016, WAHO created a unique programme aimed at improving the production, dissemination and use of research information and results in health programme planning to ultimately improve population health.While WAHO's experiences to date demonstrate how a regional health institution can integrate research promotion into the fight against maternal and infant mortality, the challenges the organisation has encountered also demonstrate the importance of cohesion among actors promoting such an initiative, the importance of leadership and commitment among member country actors steering the process, and the need for collaboration and coordination among all partners in member countries and in the region.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.016
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.324
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0160.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0020.000
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.154
GPT teacher head0.460
Teacher spread0.306 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations18
Published2017
Admission routes1
Has abstractyes

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