ArticleGhana medical journal2022
Health policy and systems research capacity development to support maternal, new-born, child and adolescent health in West and Central Africa.
Article in Ghana medical journal, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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.
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.
Who cites it
3 citing papers in PubMed, 1 citations in OpenAlex.
- Community Health and Demographic Surveillance System for Noncommunicable Disease Epidemiology Among Adults in Rural and Urban Zimbabwe, 2024-2029: Protocol for a Longitudinal Surveillance Study.JMIR research protocols · 2026Article
- Capacity development of researchers involved in guideline development in Malawi, Nigeria and South Africa: A mixed-methods study.African journal of primary health care & family medicine · 2026Article
- Strengthening research capacity in Cameroon: qualitative insights on the impact of mentorship, training and funding on receiving seed grants.BMJ public health · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors at 7 institutions in 6 countries.
Funding
Abstract
Objectives: To examine how and why a South-South capacity development and networking program for leadership, research, practice and advocacy on maternal new-born, child and adolescent health and health policy and systems strengthening in West Africa and Cameroon worked and identify lessons for low- and middle-income countries. Design: Single qualitative case study drawing on data from document review, observations, key informant interviews and a deliberative workshop. Ethics approval for primary data collection was obtained from the Ghana Health Service Ethical Review Committee (GHS-ERC 012/10/18). Setting: West Africa and Cameroon. Participants: Researchers, policy and programme managers and frontline health workers. Interventions: Networking and capacity development. Results: The programme made good progress in implementing many but not all planned capacity development and networking activities. The opportunity to network with other organisations and individuals and across countries, disciplines, and languages as well as to learn, to develop skills, and obtain mentorship support, were considered valuable benefits of the partnership. Human and financial resource constraints meant that not all planned interventions could be implemented. Conclusions: Lessons for health policy and systems research capacity building in LMIC include the potential of South-South partnerships, the need for dedicated resources, the potential of Sub-regional health organizations to support capacity building and recognition that each effort builds on preceding efforts of others, and that it is important to explore and understand where the energy and momentum for change lies. Funding: The work described here has been funded by IDRC Canada under research grant # 108237 "West and Central African partnership for maternal, new-born, child and adolescent health research."
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Registered trials
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.