ArticleHealth expectations : an international journal of public participation in health care and health policy2023
Tapping into the power of coproduction and knowledge mobilisation: Exploration of a facilitated interactive group learning approach to support equity-sensitive decision-making in local health and care services.
Article in Health expectations : an international journal of public participation in health care and health policy, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 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
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Who cites it
2 citing papers in PubMed.
- Activities used by evidence networks to promote evidence-informed decision-making in the health sector- a rapid evidence review.BMC health services research · 2024Review
- Tapping into the power of coproduction and knowledge mobilisation: Exploration of a facilitated interactive group learning approach to support equity-sensitive decision-making in local health and care services.Health expectations : an international journal of public participation in health care and health policy · 2023Article
Corrections and comments
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Authors and funding
7 authors.
Funding
Abstract
backgroundWe report on a study of a facilitated interactive group learning approach, through Collaborative Implementation Groups (CIGs), established to enhance capacity for equity-sensitive evaluation of healthcare services to inform local decision-making: (1) What was the experience of participants of the CIGs? (2) How was knowledge mobilisation achieved? (3) What are the key elements that enhance the process of coproducing equity-sensitive evaluations?
methodsA thematic analysis of qualitative data obtained from focus group (FG) discussions and semistructured interviews exploring the experiences of participants. All FGs included representation of participants from different projects across the programme. Interviews were conducted with a member from each of the teams participating in the first cohort after their final workshop.
resultsWe identified four themes to illustrate how the approach to delivering intensive and facilitated training supported equity-sensitive evaluations of local healthcare services: (1) Creating the setting for coproduction and knowledge mobilisation; (2) establishing a common purpose, meaning and language for reducing health inequalities; (3) making connections and brokering relationships and (4) challenging and transforming the role of evaluation.
conclusionWe report on the implementation of a practical example of engaged scholarship, where teams of healthcare staff were supported with resources, interactive training and methodological advice to evaluate their own services, enabling organisations to assemble timely practical and relevant evidence that could feed directly into local decision-making. By encouraging mixed teams of practitioners, commissioners, patients, the public and researchers to work together to coproduce their evaluations, the programme also aimed to systematise health equity into service change. The findings of our study illustrate that the approach to delivering training gave participants the tools and confidence to address their organisation's stated aims of reducing health inequalities, coproduce evaluations of their local services and mobilise knowledge from a range of stakeholders. PATIENT OR PUBLIC CONTRIBUTION: The research question was developed collaboratively with researchers, partner organisations and public advisers (PAs). PAs were involved in meetings to agree on the focus of this research and to plan the analysis. N. T. is a PA and coauthor, contributing to the interpretation of findings and drafting of the paper.
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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.