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Using community-based system dynamics modeling to understand the complex systems that influence health in cities: The SALURBAL study
We discuss the design, implementation, and results of a collaborative process designed to elucidate the complex systems that drive food behaviors, transport, and health in Latin American cities and to build capacity for systems thinking and community-based system dynamics (CBSD) methods among divers...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6919340/ https://www.ncbi.nlm.nih.gov/pubmed/31586769 http://dx.doi.org/10.1016/j.healthplace.2019.102215 |
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author | Langellier, Brent A. Kuhlberg, Jill A. Ballard, Ellis A. Slesinski, S. Claire Stankov, Ivana Gouveia, Nelson Meisel, Jose D. Kroker-Lobos, Maria F. Sarmiento, Olga L. Caiaffa, Waleska Teixeira Diez Roux, Ana V. |
author_facet | Langellier, Brent A. Kuhlberg, Jill A. Ballard, Ellis A. Slesinski, S. Claire Stankov, Ivana Gouveia, Nelson Meisel, Jose D. Kroker-Lobos, Maria F. Sarmiento, Olga L. Caiaffa, Waleska Teixeira Diez Roux, Ana V. |
author_sort | Langellier, Brent A. |
collection | PubMed |
description | We discuss the design, implementation, and results of a collaborative process designed to elucidate the complex systems that drive food behaviors, transport, and health in Latin American cities and to build capacity for systems thinking and community-based system dynamics (CBSD) methods among diverse research team members and stakeholders. During three CBSD workshops, 62 stakeholders from 10 Latin American countries identified 98 variables and a series of feedback loops that shape food behaviors, transportation and health, along with 52 policy levers. Our findings suggest that CBSD can engage local stakeholders, help them view problems through the lens of complex systems and use their insights to prioritize research efforts and identify novel solutions that consider mechanisms of complexity. |
format | Online Article Text |
id | pubmed-6919340 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-69193402019-12-27 Using community-based system dynamics modeling to understand the complex systems that influence health in cities: The SALURBAL study Langellier, Brent A. Kuhlberg, Jill A. Ballard, Ellis A. Slesinski, S. Claire Stankov, Ivana Gouveia, Nelson Meisel, Jose D. Kroker-Lobos, Maria F. Sarmiento, Olga L. Caiaffa, Waleska Teixeira Diez Roux, Ana V. Health Place Article We discuss the design, implementation, and results of a collaborative process designed to elucidate the complex systems that drive food behaviors, transport, and health in Latin American cities and to build capacity for systems thinking and community-based system dynamics (CBSD) methods among diverse research team members and stakeholders. During three CBSD workshops, 62 stakeholders from 10 Latin American countries identified 98 variables and a series of feedback loops that shape food behaviors, transportation and health, along with 52 policy levers. Our findings suggest that CBSD can engage local stakeholders, help them view problems through the lens of complex systems and use their insights to prioritize research efforts and identify novel solutions that consider mechanisms of complexity. Elsevier 2019-11 /pmc/articles/PMC6919340/ /pubmed/31586769 http://dx.doi.org/10.1016/j.healthplace.2019.102215 Text en © 2019 The Authors http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Langellier, Brent A. Kuhlberg, Jill A. Ballard, Ellis A. Slesinski, S. Claire Stankov, Ivana Gouveia, Nelson Meisel, Jose D. Kroker-Lobos, Maria F. Sarmiento, Olga L. Caiaffa, Waleska Teixeira Diez Roux, Ana V. Using community-based system dynamics modeling to understand the complex systems that influence health in cities: The SALURBAL study |
title | Using community-based system dynamics modeling to understand the complex systems that influence health in cities: The SALURBAL study |
title_full | Using community-based system dynamics modeling to understand the complex systems that influence health in cities: The SALURBAL study |
title_fullStr | Using community-based system dynamics modeling to understand the complex systems that influence health in cities: The SALURBAL study |
title_full_unstemmed | Using community-based system dynamics modeling to understand the complex systems that influence health in cities: The SALURBAL study |
title_short | Using community-based system dynamics modeling to understand the complex systems that influence health in cities: The SALURBAL study |
title_sort | using community-based system dynamics modeling to understand the complex systems that influence health in cities: the salurbal study |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6919340/ https://www.ncbi.nlm.nih.gov/pubmed/31586769 http://dx.doi.org/10.1016/j.healthplace.2019.102215 |
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