MétaCan
Menu
Back to cohort
Record W2530975183 · doi:10.15171/ijhpm.2016.132

An Assessment of National Maternal and Child Health Policy-Makers’ Knowledge and Capacity for Evidence-Informed Policy-Making in Nigeria

2016· article· en· W2530975183 on OpenAlexfundno aff
Chigozie Jesse Uneke, Issiaka Sombié, Namoudou Kéita, Virgil Kuassi Lokossou, Ermel Johnson, Pierre Ongolo‐Zogo

Bibliographic record

VenueInternational Journal of Health Policy and Management · 2016
Typearticle
Languageen
FieldHealth Professions
TopicHealth Policy Implementation Science
Canadian institutionsnot available
FundersInternational Development Research Centre
KeywordsPolicy makingChild healthCapacity buildingChild survivalEvidence-based policyMaternal healthDeveloping countryHealth policyEconomic growthBusinessEnvironmental healthMedicinePolitical scienceChild mortalityAlternative medicinePublic administrationEconomicsFamily medicineHealth careHealth servicesPopulation

Abstract

fetched live from OpenAlex

BACKGROUND: There is increasing interest globally in the use of more rigorous processes to ensure that maternal, newborn, and child health (MNCH) care recommendations are informed by the best available research evidence use. The purpose of this study was to engage Nigerian MNCH policy-makers and other stakeholders to consider issues around research to policy and practice interface and to assess their existing knowledge and capacity on the use of research evidence for policy-making and practice. METHODS: The study design is a cross-sectional evaluation of MNCH stakeholders' knowledge as it pertains different dimensions of research to practice. This was undertaken during a national MNCH stakeholders' engagement event convened under the auspices of the West African Health Organization (WAHO) and the Federal Ministry of Health (FMoH) in Abuja, Nigeria. A questionnaire was administered to participants, which was designed to assess participants' knowledge, capacity and organizational process of generation, synthesis and utilization of research evidence in policy-making regarding MNCH. RESULTS: A total of 40 participants signed the informed consent form and completed the questionnaire. The mean ratings (MNRs) of participants' knowledge of electronic databases and capacity to identify and obtain relevant research evidence from electronic databases ranged from 3.62-3.68 on the scale of 5. The MNRs of participants' level of understanding of a policy brief, a policy dialogue and the role of researchers in policy-making ranged from 3.50-3.86. The MNRs of participants' level of understanding of evidence in policy-making context, types and sources of evidence, capacity to identify, select, adapt, and transform relevant evidence into policy ranged from 3.63-4.08. The MNRs of the participants' organization's capacity to cover their geographical areas of operation were generally low ranging from 3.32-3.38 in terms of manpower, logistics, facilities, and external support. The lowest MNR of 2.66 was recorded in funding. CONCLUSION: The outcomes of this study suggest that a stakeholders' engagement event can serve as an important platform to assess policy-makers' knowledge and capacity for evidence-informed policy-making and for the promotion of evidence use in the policy process.

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)0.007
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.715
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
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 head0.339
GPT teacher head0.677
Teacher spread0.339 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations29
Published2016
Admission routes1
Has abstractyes

Explore more

Same venueInternational Journal of Health Policy and ManagementSame topicHealth Policy Implementation ScienceFrench-language works237,207