Evidence map›Paper›PMID 40442666›Full record

ArticleBMC public health2025

The impact of strengthened ward development committees on utilisation of reproductive maternal and child health services in Bayelsa State, Nigeria.

Chijioke Kaduru, Ganiyat Eshikhena, Eghe Abe, Nwadiuto Ojielo, Neni Aworabhi, Happiness Masa, Uche Ibe, Timiebiere Sabenus, Godwin Idim, Geraldine Mbagwu and 4 more

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Article in BMC public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

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No citing paper in PubMed yet.

4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

14 authors.

Chijioke KaduruCorona Management Systems (CMS), Federal Capital Territory, Abuja, Nigeria.
Ganiyat EshikhenaCorona Management Systems (CMS), Federal Capital Territory, Abuja, Nigeria. eshikhena@coronams.com.
Eghe AbeUnited Nations Children's Fund (UNICEF), Federal Capital Territory, Abuja, Nigeria.
Nwadiuto OjieloCorona Management Systems (CMS), Federal Capital Territory, Abuja, Nigeria.
Neni AworabhiBayelsa State Primary Healthcare Board (BYSPHCB), Yenagoa, Bayelsa State, Nigeria.
Happiness MasaBayelsa State Primary Healthcare Board (BYSPHCB), Yenagoa, Bayelsa State, Nigeria.
Uche IbeCorona Management Systems (CMS), Federal Capital Territory, Abuja, Nigeria.
Timiebiere SabenusCorona Management Systems (CMS), Federal Capital Territory, Abuja, Nigeria.
Godwin IdimCorona Management Systems (CMS), Federal Capital Territory, Abuja, Nigeria.
Geraldine MbagwuCorona Management Systems (CMS), Federal Capital Territory, Abuja, Nigeria.
Ojonimi AlfredCorona Management Systems (CMS), Federal Capital Territory, Abuja, Nigeria.
Paul AbiodunCorona Management Systems (CMS), Federal Capital Territory, Abuja, Nigeria.
Pabara IgweleBayelsa State Ministry of Health (BYSMOH), Yenagoa, Bayelsa State, Nigeria.
Abisoye OyeyemiCorona Management Systems (CMS), Federal Capital Territory, Abuja, Nigeria.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionMaternal and Child Health (MCH) conditions continue to be a major public health concern in low- and middle-income countries (LMICs), which account for 94% of maternal deaths worldwide. Despite documented successes from government interventions at all levels, maternal and child mortality remains high in Nigeria. The purpose of this study is to assess the impact of strengthened Ward Development Committees (WDCs) on the use of reproductive and maternal and child health services in a specific local government area (LGA) in Bayelsa State, Nigeria.

methodsA quasi-experimental study design without a control group was used, with data collected at the baseline, midline and endline using a pre-posttest questionnaire. This was collected to determine the outcome of the impact of strengthened WDC in Bayelsa State's Kolokuma/Opokuma LGA. Existing WDCs were strengthened by providing funding, Reproductive, Maternal, Newborn, Child, Adolescent Health and Nutrition (RMNCH + N) commodities, outreach, human resource support, and technical assistance. Caregivers of children between the ages of 0 and 59 months were randomly selected to participate in the study. The Cochrane and Friedman test were used to analyse changes over time in key indicators, with statistical significance set at P < 0.05, while logistic regression was used to examine the influence of socio-demographic factors on maternal health service utilisation.

resultsFollowing the intervention, significant improvements were observed in key reproductive, maternal, and child health (RMCH) indicators. Family planning utilisation increased markedly from 0% at baseline to 62% at endline (P < 0.001). Similarly, the proportion of health facility deliveries rose from 46 to 72% (P < 0.001), while antenatal care (ANC) attendance with four or more visits improved from 78 to 92% (P < 0.001). Postnatal care (PNC) attendance also showed a significant increase, from 52% at baseline to 93% at endline (P < 0.001). Logistic regression analysis further revealed that women aged 31-40 years were significantly more likely to utilise family planning services compared to those aged 15-20 years (OR = 5.29; 95% CI: 1.61-17.36; P = 0.0059). Marital status also had a strong influence, with single women demonstrating significantly higher odds of using family planning services compared to married women (OR = 6.39; 95% CI: 2.81-14.50; P < 0.001).

conclusionThe WDC strengthening intervention led to significant improvements in maternal health service utilisation, family planning uptake, and postnatal care attendance. Socio-demographic factors such as age and marital status were important determinants of family planning uptake, with older and single women more likely to use these services. However, declines in caregivers' knowledge of child health interventions and the acceptability of key health interventions, particularly vaccines, highlight the need for targeted health education and communication strategies. Getting communities more involved and using effective ways to share health information are recommended to maintain and improve health outcomes in similar settings.

Indexed as

Maternal-Child Health ServicesReproductive Health ServicesAdolescentAdultChild, PreschoolFemaleHumansInfantInfant, NewbornLocal GovernmentMaleNigeriaPregnancySurveys and QuestionnairesYoung AdultMaternal and child healthPrimary Health CareReproductive healthVaccinesWard Development Committees

Identifiers

PMID40442666
PMCPMC12121105

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.