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Systems Thinking and Complexity Science Methods and the Policy Process in Non-communicable Disease Prevention: A Systematic Scoping Review

Background: Given the complex determinants of non-communicable diseases (NCDs), and the dynamic policy landscape, researchers and policymakers are exploring the use of systems thinking and complexity science (STCS) in developing effective policies. The aim of this review is to systematically identif...

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Autores principales: Astbury, Chloe Clifford, Lee, Kirsten M., McGill, Elizabeth, Clarke, Janielle, Egan, Matt, Halloran, Afton, Malykh, Regina, Rippin, Holly, Wickramasinghe, Kremlin, Penney, Tarra L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Kerman University of Medical Sciences 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10125079/
https://www.ncbi.nlm.nih.gov/pubmed/37579437
http://dx.doi.org/10.34172/ijhpm.2023.6772
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author Astbury, Chloe Clifford
Lee, Kirsten M.
McGill, Elizabeth
Clarke, Janielle
Egan, Matt
Halloran, Afton
Malykh, Regina
Rippin, Holly
Wickramasinghe, Kremlin
Penney, Tarra L.
author_facet Astbury, Chloe Clifford
Lee, Kirsten M.
McGill, Elizabeth
Clarke, Janielle
Egan, Matt
Halloran, Afton
Malykh, Regina
Rippin, Holly
Wickramasinghe, Kremlin
Penney, Tarra L.
author_sort Astbury, Chloe Clifford
collection PubMed
description Background: Given the complex determinants of non-communicable diseases (NCDs), and the dynamic policy landscape, researchers and policymakers are exploring the use of systems thinking and complexity science (STCS) in developing effective policies. The aim of this review is to systematically identify and analyse existing applications of STCS-informed methods in NCD prevention policy. Methods: Systematic scoping review: We searched academic databases (Medline, Scopus, Web of Science, EMBASE) for all publications indexed by 13 October 2020, screening titles, abstracts and full texts and extracting data according to published guidelines. We summarised key data from each study, mapping applications of methods informed by STCS to policy process domains. We conducted a thematic analysis to identify advantages, limitations, barriers and facilitators to using STCS. Results: 4681 papers were screened and 112 papers were included in this review. The most common policy areas were tobacco control, obesity prevention and physical activity promotion. Methods applied included system dynamics modelling, agent-based modelling and concept mapping. Advantages included supporting evidence-informed decision-making; modelling complex systems and addressing multi-sectoral problems. Limitations included the abstraction of reality by STCS methods, despite aims of encompassing greater complexity. Challenges included resource-intensiveness; lack of stakeholder trust in models; and results that were too complex to be comprehensible to stakeholders. Ensuring stakeholder ownership and presenting findings in a user-friendly way facilitated STCS use. Conclusion: This review maps the proliferating applications of STCS methods in NCD prevention policy. STCS methods have the potential to generate tailored and dynamic evidence, adding robustness to evidence-informed policymaking, but must be accessible to policy stakeholders and have strong stakeholder ownership to build consensus and change stakeholder perspectives. Evaluations of whether, and under what circumstances, STCS methods lead to more effective policies compared to conventional methods are lacking, and would enable more targeted and constructive use of these methods.
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spelling pubmed-101250792023-04-25 Systems Thinking and Complexity Science Methods and the Policy Process in Non-communicable Disease Prevention: A Systematic Scoping Review Astbury, Chloe Clifford Lee, Kirsten M. McGill, Elizabeth Clarke, Janielle Egan, Matt Halloran, Afton Malykh, Regina Rippin, Holly Wickramasinghe, Kremlin Penney, Tarra L. Int J Health Policy Manag Scoping Review Background: Given the complex determinants of non-communicable diseases (NCDs), and the dynamic policy landscape, researchers and policymakers are exploring the use of systems thinking and complexity science (STCS) in developing effective policies. The aim of this review is to systematically identify and analyse existing applications of STCS-informed methods in NCD prevention policy. Methods: Systematic scoping review: We searched academic databases (Medline, Scopus, Web of Science, EMBASE) for all publications indexed by 13 October 2020, screening titles, abstracts and full texts and extracting data according to published guidelines. We summarised key data from each study, mapping applications of methods informed by STCS to policy process domains. We conducted a thematic analysis to identify advantages, limitations, barriers and facilitators to using STCS. Results: 4681 papers were screened and 112 papers were included in this review. The most common policy areas were tobacco control, obesity prevention and physical activity promotion. Methods applied included system dynamics modelling, agent-based modelling and concept mapping. Advantages included supporting evidence-informed decision-making; modelling complex systems and addressing multi-sectoral problems. Limitations included the abstraction of reality by STCS methods, despite aims of encompassing greater complexity. Challenges included resource-intensiveness; lack of stakeholder trust in models; and results that were too complex to be comprehensible to stakeholders. Ensuring stakeholder ownership and presenting findings in a user-friendly way facilitated STCS use. Conclusion: This review maps the proliferating applications of STCS methods in NCD prevention policy. STCS methods have the potential to generate tailored and dynamic evidence, adding robustness to evidence-informed policymaking, but must be accessible to policy stakeholders and have strong stakeholder ownership to build consensus and change stakeholder perspectives. Evaluations of whether, and under what circumstances, STCS methods lead to more effective policies compared to conventional methods are lacking, and would enable more targeted and constructive use of these methods. Kerman University of Medical Sciences 2023-02-26 /pmc/articles/PMC10125079/ /pubmed/37579437 http://dx.doi.org/10.34172/ijhpm.2023.6772 Text en © 2023 The Author(s); Published by Kerman University of Medical Sciences https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0 (https://creativecommons.org/licenses/by/4.0/) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Scoping Review
Astbury, Chloe Clifford
Lee, Kirsten M.
McGill, Elizabeth
Clarke, Janielle
Egan, Matt
Halloran, Afton
Malykh, Regina
Rippin, Holly
Wickramasinghe, Kremlin
Penney, Tarra L.
Systems Thinking and Complexity Science Methods and the Policy Process in Non-communicable Disease Prevention: A Systematic Scoping Review
title Systems Thinking and Complexity Science Methods and the Policy Process in Non-communicable Disease Prevention: A Systematic Scoping Review
title_full Systems Thinking and Complexity Science Methods and the Policy Process in Non-communicable Disease Prevention: A Systematic Scoping Review
title_fullStr Systems Thinking and Complexity Science Methods and the Policy Process in Non-communicable Disease Prevention: A Systematic Scoping Review
title_full_unstemmed Systems Thinking and Complexity Science Methods and the Policy Process in Non-communicable Disease Prevention: A Systematic Scoping Review
title_short Systems Thinking and Complexity Science Methods and the Policy Process in Non-communicable Disease Prevention: A Systematic Scoping Review
title_sort systems thinking and complexity science methods and the policy process in non-communicable disease prevention: a systematic scoping review
topic Scoping Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10125079/
https://www.ncbi.nlm.nih.gov/pubmed/37579437
http://dx.doi.org/10.34172/ijhpm.2023.6772
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