Evidence map›Paper›PMID 42111362›Full record

ReviewInternational journal of MCH and AIDS2026

Beyond Access: Behavior Change and Gendered Realities in the Adoption of Digital Health Tools for Maternal, Newborn, and Child Health in Nigeria.

Charles Chibuisi Ehiemere, Ishaku Adamu Akyala, Bisayo Adetuyi Ogundipe, Chukwuebuka Clement Nri-Ezedi, Peter Joseph Anzaku, Waryit Esther Yonah, Efe Mary Imokhai, Isaac Onyebuchi Okohu, Idowu Olapemi Makinde, Ngozi Miriam Chimzobam-Nnalue

Abstract readReview
In one paragraph

Review in International journal of MCH and AIDS, 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

10 authors.

Charles Chibuisi EhiemereDepartment of Public Health, Global Health and Infectious Diseases Control Institute, Nasarawa State University, Keffi, Nigeria.ORCID https://orcid.org/0009-0007-6853-0226
Ishaku Adamu AkyalaGlobal Health and Infectious Diseases Control Institute, Nasarawa State University, Keffi, Nigeria.
Bisayo Adetuyi OgundipeDepartment of Public Health, Global Health and Infectious Diseases Control Institute, Nasarawa State University, Keffi, Nigeria.
Chukwuebuka Clement Nri-EzediDepartment of Public Health, Global Health and Infectious Diseases Control Institute, Nasarawa State University, Keffi, Nigeria.
Peter Joseph AnzakuDepartment of Health Economics, Management and Policy, Global Health and Infectious Diseases Control Institute, Nasarawa State University, Keffi, Nigeria.
Waryit Esther YonahDepartment of Public Health, Global Health and Infectious Diseases Control Institute, Nasarawa State University, Keffi, Nigeria.
Efe Mary ImokhaiDepartment of Public Health, Global Health and Infectious Diseases Control Institute, Nasarawa State University, Keffi, Nigeria.
Isaac Onyebuchi OkohuDepartment of Public Health, Global Health and Infectious Diseases Control Institute, Nasarawa State University, Keffi, Nigeria.
Idowu Olapemi MakindeDepartment of Public Health, Global Health and Infectious Diseases Control Institute, Nasarawa State University, Keffi, Nigeria.ORCID https://orcid.org/0000-0002-7140-0242
Ngozi Miriam Chimzobam-NnalueDepartment of Public Health, Global Health and Infectious Diseases Control Institute, Nasarawa State University, Keffi, Nigeria.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and Objective: Digital health innovations are increasingly being deployed to improve maternal, newborn, and child health (MNCH) outcomes in Nigeria. However, their adoption and effectiveness are influenced not only by technological access and infrastructure but also by behavioral factors, gender norms, and cultural contexts that shape user engagement and health-seeking behaviors. Methods: A narrative review was conducted using PubMed, Web of Science, Scopus, and African Journals Online, covering studies published between 2015 and 2025. From an initial pool of records, 46 studies met the inclusion criteria following screening. This review synthesized empirical studies, program evaluations, and behavioral frameworks, such as the Fogg Behavior Model and Health Belief Model, to examine how gender dynamics, social hierarchies, and behavioral readiness shape digital MNCH adoption. Results: The findings reveal that digital literacy gaps, gendered power relations, sociocultural beliefs, and intra-household decision-making processes significantly affect technology uptake. Interventions that incorporated voice-based content, local languages, and male-inclusive engagement strategies demonstrated higher levels of acceptance and retention in the target population. Behaviorally informed designs, culturally tailored messaging, and the involvement of trusted intermediaries, such as community health workers, were critical success factors. Conclusion and Global Health Implications: Effective digital health interventions must move beyond mere technical provision to integrate behavioral science and gender responsiveness into their design and delivery. Approaches that prioritize the lived realities of users, particularly women's agency within household decision-making, are more likely to achieve equitable and sustainable MNCH outcomes. Policy and program developers should prioritize human-centered, behaviorally intelligent, and gender-transformative digital health models, while future interventions must integrate cultural adaptability, motivational triggers, and inclusive engagement strategies to enhance digital MNCH impact.

Indexed as

Behavior ChangeDigital HealthGenderHealth-Seeking BehaviorMaternal and Child HealthNigeriaTechnology adoption

Identifiers

PMID42111362
PMCPMC13148288

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.