ReviewBMJ global health2019
Learning for Universal Health Coverage.
Review in BMJ global health, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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.
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
11 citing papers in PubMed.
- Transforming district health systems into learning health systems: An improved strategy from the District.Team experience in Benin and Guinea.Learning health systems · 2025Article
- Using a policy learning lens to understand health financing policy outcomes: the case of translating strategic health purchasing into policy and practice in Burkina Faso.BMJ global health · 2024Article
- How has Guinea learnt from the response to outbreaks? A learning health system analysis.BMJ global health · 2023Article
- Learning health systems in low-income and middle-income countries: exploring evidence and expert insights.BMJ global health · 2022Review
- Mobilizing health district management teams through digital tools: Lessons from the District.Team initiative in Benin and Guinea using an action research methodology.Learning health systems · 2021Article
- Reinforcing locally led solutions for universal health coverage: a logic model with applications in Benin, Namibia and Uganda.BMJ global health · 2021Review
- Developing stakeholder participation to address lack of safe water as a community health concern in a rural province in South Africa.Global health action · 2021Article
- Applying the Realist Evaluation Approach to the Complex Process of Policy Implementation-The Case of the User Fee Exemption Policy for Cesarean Section in Benin.Frontiers in public health · 2021Article
- District-level health system strengthening for universal health coverage: evidence from a longitudinal cohort study in rural Madagascar, 2014-2018.BMJ global health · 2020Article
- Policy learning and Universal Health Coverage in low- and middle-income countries.Health research policy and systems · 2020Article
- Action research and health system strengthening: the case of the health sector support programme in Mauritania, West Africa.Health research policy and systems · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
16 authors.
Funding
Abstract
The journey to universal health coverage (UHC) is full of challenges, which to a great extent are specific to each country. 'Learning for UHC' is a central component of countries' health system strengthening agendas. Our group has been engaged for a decade in facilitating collective learning for UHC through a range of modalities at global, regional and national levels. We present some of our experience and draw lessons for countries and international actors interested in strengthening national systemic learning capacities for UHC. The main lesson is that with appropriate collective intelligence processes, digital tools and facilitation capacities, countries and international agencies can mobilise the many actors with knowledge relevant to the design, implementation and evaluation of UHC policies. However, really building learning health systems will take more time and commitment. Each country will have to invest substantively in developing its specific learning systemic capacities, with an active programme of work addressing supportive leadership, organisational culture and knowledge management processes.
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Identifiers
What OpenQuestion holds
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.