ArticleInternational journal of health policy and management2018
Using Complexity to Simplify Knowledge Translation Comment on "Using Complexity and Network Concepts to Inform Healthcare Knowledge Translation".
Article in International journal of health policy and management, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 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.
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Who cites it
5 citing papers in PubMed.
- Comparative Analysis of Breast and Cervical Screening Adaptability at a Federally Qualified Health Center.Cancer prevention research (Philadelphia, Pa.) · 2026Article
- Advancing the selection of implementation science theories, models, and frameworks: a scoping review and the development of the SELECT-IT meta-framework.Implementation science : IS · 2025Article
- Self-medication among university students in Guangdong province, China: a cross-sectional study using the KAP model.Frontiers in public health · 2025Article
- Rights, interests and expectations: Indigenous perspectives on unrestricted access to genomic data.Nature reviews. Genetics · 2020Review
- The Knowledge Translation Complexity Network (KTCN) Model: The Whole Is Greater Than the Sum of the Parts - A Response to Recent Commentaries.International journal of health policy and management · 2018Article
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2 authors.
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Abstract
Putting health theories, research and knowledge into practice is a challenge referred to as the knowledge-toaction gap. Knowledge translation (KT), and its related concepts of knowledge mobilization, implementation science and research impact, emerged to mitigate this gap. While the social interaction view of KT has gained currency, scholars have not easily made a link between KT and the concept of complexity. Kitson and colleagues suggest we ought to examine the role of complexity in KT processes using defined theories and concepts borrowed from network and complex adaptive systems theory. They further argue that better KT outcomes might be achieved using this new lens. There remain, however, several critical considerations for this sort of theory application to work in the real-world. Complexity and network theory offer explanatory power about the KT problem, but these theories are less helpful for understanding solutions.
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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.