Evidence map›Paper›PMID 42327713›Full record

ArticleFrontiers in health services2026

The use of implementation science frameworks to promote maternal and child health delivery programs in Nigeria.

Uju Maryanne Onuorah, Moses Ifeatu Nwuzoh, Francisca Ogochukwu Onukansi, Collins Chibueze Anokwuru, Ogechi Vinaprisca Ikhuoria, Chidera Gabriel Obi, Stanley Chinedu Eneh

Abstract read
In one paragraph

Article in Frontiers in health services, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Uju Maryanne OnuorahLiverpool School of Tropical Medicine, Liverpool, United Kingdom.
Moses Ifeatu NwuzohYouth in Research Hub, Enugu, Enugu State, Nigeria.
Francisca Ogochukwu OnukansiYouth in Research Hub, Enugu, Enugu State, Nigeria.
Collins Chibueze AnokwuruYouth in Research Hub, Enugu, Enugu State, Nigeria.
Ogechi Vinaprisca IkhuoriaYouth in Research Hub, Enugu, Enugu State, Nigeria.
Chidera Gabriel ObiYouth in Research Hub, Enugu, Enugu State, Nigeria.
Stanley Chinedu EnehYouth in Research Hub, Enugu, Enugu State, Nigeria.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Maternal and Child Health (MCH) remains a significant public health concern in Nigeria, with high maternal and child mortality rates. Although effective, evidence-based interventions exist, their impact is often constrained by implementation gaps driven by weak health systems, limited resources, and sociocultural factors. This perspective article highlights the untapped potential of implementation science (IS) frameworks to improve the planning, implementation, and evaluation of MCH programs in Nigeria. This study examines four key implementation science frameworks: the Consolidated Framework for Implementation Research (CFIR), RE-AIM, Promoting Action on Research Implementation in Health Services (PARiHS), and the Diffusion of Innovations and explores their relevance to Nigeria's MCH system using case examples. Key challenges include limited IS capacity, weak health system structures, and sociocultural barriers. However, opportunities exist in digital health innovations, workforce development, and multi-sectoral collaboration. Integrating implementation science into national MCH strategies could enhance their effectiveness and accelerate progress toward achieving Sustainable Development Goal 3.

Indexed as

CFIRdiffusion of innovationshealth policyimplementation sciencematernal and child healthNigeriaRE-AIM

Identifiers

PMID42327713
PMCPMC13275677

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.