ArticlePLOS global public health2022
Strong health systems are learning health systems.
Article in PLOS global public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 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
16 citing papers in PubMed.
- Are global health commitments relevant in low-income countries? Considering discussions at Davos 2026.Health policy and planning · 2026Article
- Leading Learning Health Systems in the Asia Pacific: A Mixed-Method Evaluation of Health Professionals' Experiences in a Longitudinal Leadership Program.Learning health systems · 2026Article
- Implementing Somalia's National Transformation Plan 2025-2029 for health-system reform: a policy and practice review of governance, financing, and institutional readiness.Frontiers in health services · 2026Review
- Legal design for establishing a novel parastatal public health institute - Japan Institute for Health Security: A case study.PLOS global public health · 2026Article
- Transforming district health systems into learning health systems: An improved strategy from the District.Team experience in Benin and Guinea.Learning health systems · 2025Article
- Primary health care in the context of the COVID-19 pandemic in 10 South-East Asian countries: a cross-case synthesis with lessons for future health systems strengthening.BMJ global health · 2025Article
- Investigating the enablers and barriers for hypertension control in Dakar: a qualitative system effectiveness study.BMJ open · 2025Article
- Workplace-based learning in district health leadership and management strengthening: a framework synthesis.Health policy and planning · 2025Review
- Strengthening Governance for Universalising Primary Oral Health Care: Perspectives from Karnataka, India.Wellcome open research · 2025Article
- A blueprint for learning: How NHS England (London) learned during its response to the Covid-19 pandemic.Public health in practice (Oxford, England) · 2024Article
- Exploring nationwide policy interventions to control COVID-19 from the perspective of the rapid learning health system approach.Learning health systems · 2024Article
- How to evaluate a multi-country implementation-focused network: Reflections from the Quality of Care Network (QCN) evaluation.PLOS global public health · 2024Article
- A climate resilience maturity matrix for Canadian health systems.Healthcare management forum · 2023Article
- How has Guinea learnt from the response to outbreaks? A learning health system analysis.BMJ global health · 2023Article
- Applying learning health systems thinking in codeveloping integrated tuberculosis interventions in the contexts of COVID-19.BMJ global health · 2022Article
- Improving facility-based care: eliciting tacit knowledge to advance intervention design.BMJ global health · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
Abstract
PubMed holds no abstract for this paper.
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.