ArticlePloS one2022
Using a learning health system framework to examine COVID-19 pandemic planning and response at a Canadian Health Centre.
Article in PloS one, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 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.
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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
7 citing papers in PubMed, 12 citations in OpenAlex.
- Policy context and digital development: a comparative study of trajectories in 4 Canadian academic health centers over 30 years.Journal of the American Medical Informatics Association : JAMIA · 2025Article
- The role of patients, caregivers, and communities in Learning Health Systems: a narrative review.Frontiers in health services · 2025Review
- The Role of Nurse Implementation Scientists in Leading Health System Transformation in Atlantic Canada and Beyond: A Discussion Paper.Journal of advanced nursing · 2024Review
- Progress with the Learning Health System 2.0: a rapid review of Learning Health Systems' responses to pandemics and climate change.BMC medicine · 2024Review
- Exploring nationwide policy interventions to control COVID-19 from the perspective of the rapid learning health system approach.Learning health systems · 2024Article
- A Neuro-Informatics Pipeline for Cerebrovascular Disease: Research Registry Development.JMIR formative research · 2023Article
- Connecting the science and practice of implementation - applying the lens of context to inform study design in implementation research.Frontiers in health services · 2023Article
Corrections and comments
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Authors and funding
9 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe COVID-19 pandemic has presented a unique opportunity to explore how health systems adapt under rapid and constant change and develop a better understanding of health system transformation. Learning health systems (LHS) have been proposed as an ideal structure to inform a data-driven response to a public health emergency like COVID-19. The aim of this study was to use a LHS framework to identify assets and gaps in health system pandemic planning and response during the initial stages of the COVID-19 pandemic at a single Canadian Health Centre.
methodsThis paper reports the data triangulation stage of a concurrent triangulation mixed methods study which aims to map study findings onto the LHS framework. We used a triangulation matrix to map quantitative (textual and administrative sources) and qualitative (semi-structured interviews) data onto the seven characteristics of a LHS and identify assets and gaps related to health-system receptors and research-system supports.
resultsWe identified several health system assets within the LHS characteristics, including appropriate decision supports and aligned governance. Gaps were identified in the LHS characteristics of engaged patients and timely production and use of research evidence.
conclusionThe LHS provided a useful framework to examine COVID-19 pandemic response measures. We highlighted opportunities to strengthen the LHS infrastructure for rapid integration of evidence and patient experience data into future practice and policy changes.
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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.