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Using a ‘rich picture’ to facilitate systems thinking in research coproduction

BACKGROUND: In coproduction research, traditional ‘end-users’ are involved in the entire research process. The aim is to facilitate research translation by improving the timeliness and relevance of research. Because end-users often come from multiple sectors and hold diverse perspectives and priorit...

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Autores principales: Conte, Kathleen P., Davidson, Seanna
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6995183/
https://www.ncbi.nlm.nih.gov/pubmed/32005252
http://dx.doi.org/10.1186/s12961-019-0514-2
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author Conte, Kathleen P.
Davidson, Seanna
author_facet Conte, Kathleen P.
Davidson, Seanna
author_sort Conte, Kathleen P.
collection PubMed
description BACKGROUND: In coproduction research, traditional ‘end-users’ are involved in the entire research process. The aim is to facilitate research translation by improving the timeliness and relevance of research. Because end-users often come from multiple sectors and hold diverse perspectives and priorities, involving them in coproduction can be challenging. Tools and approaches are needed to support coproduction teams to successfully navigate divergent viewpoints while producing rigorous but meaningful research outcomes. Rich pictures are a systems thinking tool to help make sense of complexity. In this paper, we describe how we developed and applied a ‘rich picture’ in a coproduction project with policy-level partners. METHODS: Guided by systems thinking principles, we conducted a systemic analysis of ethnographic fieldnotes collected as part of a broader study that examined the dynamics between an IT system and the implementation of the state-wide childhood obesity prevention programmes it was designed to monitor. Translating qualitative themes into metaphor and imagery, we created a visual depiction of the system to reflect the experience of the system’s users (health promotion practitioners) and facilitated a workshop with policy-level programme administrators (i.e. participants, n = 7). Our aim was to increase the transparency of the system for our research partners and to spark new insights to improve the quality of programme implementation. RESULTS: Guided by provocative questions, participants discussed and challenged each other’s thinking on the current functioning of the system. They identified future lines of inquiry to explore for quality improvement. Participants strongly agreed that the picture was a constructive way to engage with the ethnographic data but were challenged by the information and its implications. The opportunity for participants to co-learn from each other as well as from the picture was an added value. CONCLUSION: In the context of the facilitated workshop, the rich picture enabled research partners to engage with complex research findings and gain new insights. Its value was harnessed via the guided participatory process. This demonstrates the importance that, in the future, such tools should be accompanied by practices that enable participants to think with and apply systems thinking concepts and principles.
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spelling pubmed-69951832020-02-04 Using a ‘rich picture’ to facilitate systems thinking in research coproduction Conte, Kathleen P. Davidson, Seanna Health Res Policy Syst Research BACKGROUND: In coproduction research, traditional ‘end-users’ are involved in the entire research process. The aim is to facilitate research translation by improving the timeliness and relevance of research. Because end-users often come from multiple sectors and hold diverse perspectives and priorities, involving them in coproduction can be challenging. Tools and approaches are needed to support coproduction teams to successfully navigate divergent viewpoints while producing rigorous but meaningful research outcomes. Rich pictures are a systems thinking tool to help make sense of complexity. In this paper, we describe how we developed and applied a ‘rich picture’ in a coproduction project with policy-level partners. METHODS: Guided by systems thinking principles, we conducted a systemic analysis of ethnographic fieldnotes collected as part of a broader study that examined the dynamics between an IT system and the implementation of the state-wide childhood obesity prevention programmes it was designed to monitor. Translating qualitative themes into metaphor and imagery, we created a visual depiction of the system to reflect the experience of the system’s users (health promotion practitioners) and facilitated a workshop with policy-level programme administrators (i.e. participants, n = 7). Our aim was to increase the transparency of the system for our research partners and to spark new insights to improve the quality of programme implementation. RESULTS: Guided by provocative questions, participants discussed and challenged each other’s thinking on the current functioning of the system. They identified future lines of inquiry to explore for quality improvement. Participants strongly agreed that the picture was a constructive way to engage with the ethnographic data but were challenged by the information and its implications. The opportunity for participants to co-learn from each other as well as from the picture was an added value. CONCLUSION: In the context of the facilitated workshop, the rich picture enabled research partners to engage with complex research findings and gain new insights. Its value was harnessed via the guided participatory process. This demonstrates the importance that, in the future, such tools should be accompanied by practices that enable participants to think with and apply systems thinking concepts and principles. BioMed Central 2020-01-31 /pmc/articles/PMC6995183/ /pubmed/32005252 http://dx.doi.org/10.1186/s12961-019-0514-2 Text en © The Author(s). 2020 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research
Conte, Kathleen P.
Davidson, Seanna
Using a ‘rich picture’ to facilitate systems thinking in research coproduction
title Using a ‘rich picture’ to facilitate systems thinking in research coproduction
title_full Using a ‘rich picture’ to facilitate systems thinking in research coproduction
title_fullStr Using a ‘rich picture’ to facilitate systems thinking in research coproduction
title_full_unstemmed Using a ‘rich picture’ to facilitate systems thinking in research coproduction
title_short Using a ‘rich picture’ to facilitate systems thinking in research coproduction
title_sort using a ‘rich picture’ to facilitate systems thinking in research coproduction
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6995183/
https://www.ncbi.nlm.nih.gov/pubmed/32005252
http://dx.doi.org/10.1186/s12961-019-0514-2
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