ArticleBMJ open2022
Identifying requisite learning health system competencies: a scoping review.
Article in BMJ open, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 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.
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Who cites it
28 citing papers in PubMed, 41 citations in OpenAlex.
- Effectiveness of a virtual quality improvement training program to improve reach of weight management programs within a large health system.Health services research · 2024Trial
- Leading Learning Health Systems: Strategies Used to Establish and Conduct a Learning Health System.Journal of general internal medicine · 2026Article
- Development of the Learning Health Systems Toolkit: A Collaborative Effort to Bridge Concept and Practice.Learning health systems · 2026Article
- Review
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- US Risk Evaluation and Mitigation Strategies with Elements to Assure Safe Use: A Longitudinal Analysis of REMS Modifications (2008-2022).Drug safety · 2026Article
- Exploring Barriers, Enablers, and Strategies for Implementing Learning Health System Projects in Healthcare Organizations: A Multilevel Analysis in an Australian Setting.Learning health systems · 2026Article
- Navigating and reframing tensions within equity-centered learning health systems.Learning health systems · 2026Article
- Dissemination and Implementation Theories, Models, or Frameworks Utilized in International Aging Research: A Citation Analysis.Global implementation research and applications · 2026Review
- Enriched core competencies for health services and policy research-An update.Learning health systems · 2026Article
- Improving information sharing in Medicaid home and community-based services with learning health systems: Implications for older adults and individuals living with disabilities and dementia.Learning health systems · 2025Article
- Measurement, drivers, and outcomes of patient-initiated secure messaging use and intensity: a scoping review.JAMIA open · 2025Review
- A learning health system model for addressing substance use: Denver Health Center for Addiction Medicine.Learning health systems · 2025Article
- Learning health system strategies in the AI era.npj health systems · 2025Review
- Enhancing capacity for primary care research in cancer survivorship: National Cancer Institute meeting report.Journal of the National Cancer Institute · 2025Article
- Implementing Learning from Excellence in a postanaesthesia care unit: a qualitative study of healthcare professionals' experiences after six months.BMC health services research · 2025Observational
- Four distinct models of learning health systems: Strength through diversity.Learning health systems · 2025Article
- Developing a codebook to characterize barriers, enablers, and strategies for implementing learning health systems from a multilevel perspective.Learning health systems · 2025Article
- Achieving a rapid and continuous learning health system requires socio-technical harmonization of research and operational IT.npj health systems · 2025Review
- Nephrology Clinical Trials in Learning Health Systems: The Registry-Based Randomized Clinical Trial.Journal of the American Society of Nephrology : JASN · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectivesLearning health systems (LHS) integrate knowledge and practice through cycles of continuous quality improvement and learning to increase healthcare quality. LHS have been conceptualised through multiple frameworks and models. Our aim is to identify and describe the requisite individual competencies (knowledge, skills and attitudes) and system competencies (capacities, characteristics and capabilities) described in existing literature in relation to operationalising LHS.
methodsA scoping review was conducted with descriptive and thematic analysis to identify and map competencies of LHS for individuals/patients, health system workers and systems. Articles until April 2020 were included based on a systematic literature search and selection process. Themes were developed using a consensus process until agreement was reached among team members.
resultsEighty-nine articles were included with most studies conducted in the USA (68 articles). The largest number of publications represented competencies at the system level, followed by health system worker competencies. Themes identified at the individual/patient level were knowledge and skills to understand and share information with an established system and the ability to interact with the technology used to collect data. Themes at the health system worker level were skills in evidence-based practice, leadership and teamwork skills, analytical and technological skills required to use a 'digital ecosystem', data-science knowledge and skill and self-reflective capacity. Researchers embedded within LHS require a specific set of competencies. Themes identified at the system level were data, infrastructure and standardisation; integration of data and workflow; and culture and climate supporting ongoing learning.
conclusionThe identified individual stakeholder competencies within LHS and the system capabilities of LHS provide a solid base for the further development and evaluation of LHS. International collaboration for stimulating LHS will assist in further establishing the knowledge base for LHS.
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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.