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Application of systems dynamics and group model building to identify barriers and facilitators to acute care delivery in a resource limited setting

BACKGROUND: Group model building (GMB) is a method to facilitate shared understanding of structures and relationships that determine system behaviors. This project aimed to determine the feasibility of GMB in a resource-limited setting and to use GMB to describe key barriers and facilitators to effe...

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Autores principales: Muttalib, Fiona, Ballard, Ellis, Langton, Josephine, Malone, Sara, Fonseca, Yudy, Hansmann, Andreas, Remy, Kenneth, Hovmand, Peter, Doctor, Allan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7787401/
https://www.ncbi.nlm.nih.gov/pubmed/33407458
http://dx.doi.org/10.1186/s12913-020-06014-7
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author Muttalib, Fiona
Ballard, Ellis
Langton, Josephine
Malone, Sara
Fonseca, Yudy
Hansmann, Andreas
Remy, Kenneth
Hovmand, Peter
Doctor, Allan
author_facet Muttalib, Fiona
Ballard, Ellis
Langton, Josephine
Malone, Sara
Fonseca, Yudy
Hansmann, Andreas
Remy, Kenneth
Hovmand, Peter
Doctor, Allan
author_sort Muttalib, Fiona
collection PubMed
description BACKGROUND: Group model building (GMB) is a method to facilitate shared understanding of structures and relationships that determine system behaviors. This project aimed to determine the feasibility of GMB in a resource-limited setting and to use GMB to describe key barriers and facilitators to effective acute care delivery at a tertiary care hospital in Malawi. METHODS: Over 1 week, trained facilitators led three GMB sessions with two groups of healthcare providers to facilitate shared understanding of structures and relationships that determine system behaviors. One group aimed to identify factors that impact patient flow in the paediatric special care ward. The other aimed to identify factors impacting delivery of high-quality care in the paediatric accident and emergency room. Synthesized causal maps of factors influencing patient care were generated, revised, and qualitatively analyzed. RESULTS: Causal maps identified patient condition as the central modifier of acute care delivery. Severe illness and high volume of patients were identified as creating system strain in several domains: (1) physical space, (2) resource needs and utilization, (3) staff capabilities and (4) quality improvement. Stress in these domains results in worsening patient condition and perpetuating negative reinforcing feedback loops. Balancing factors inherent to the current system included (1) parental engagement, (2) provider resilience, (3) ease of communication and (4) patient death. Perceived strengths of the GMB process were representation of diverse stakeholder viewpoints and complex system synthesis in a visual causal pathway, the process inclusivity, development of shared understanding, new idea generation and momentum building. Challenges identified included time required for completion and potential for participant selection bias. CONCLUSIONS: GMB facilitated creation of a shared mental model, as a first step in optimizing acute care delivery in a paediatric facility in this resource-limited setting.
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spelling pubmed-77874012021-01-07 Application of systems dynamics and group model building to identify barriers and facilitators to acute care delivery in a resource limited setting Muttalib, Fiona Ballard, Ellis Langton, Josephine Malone, Sara Fonseca, Yudy Hansmann, Andreas Remy, Kenneth Hovmand, Peter Doctor, Allan BMC Health Serv Res Research Article BACKGROUND: Group model building (GMB) is a method to facilitate shared understanding of structures and relationships that determine system behaviors. This project aimed to determine the feasibility of GMB in a resource-limited setting and to use GMB to describe key barriers and facilitators to effective acute care delivery at a tertiary care hospital in Malawi. METHODS: Over 1 week, trained facilitators led three GMB sessions with two groups of healthcare providers to facilitate shared understanding of structures and relationships that determine system behaviors. One group aimed to identify factors that impact patient flow in the paediatric special care ward. The other aimed to identify factors impacting delivery of high-quality care in the paediatric accident and emergency room. Synthesized causal maps of factors influencing patient care were generated, revised, and qualitatively analyzed. RESULTS: Causal maps identified patient condition as the central modifier of acute care delivery. Severe illness and high volume of patients were identified as creating system strain in several domains: (1) physical space, (2) resource needs and utilization, (3) staff capabilities and (4) quality improvement. Stress in these domains results in worsening patient condition and perpetuating negative reinforcing feedback loops. Balancing factors inherent to the current system included (1) parental engagement, (2) provider resilience, (3) ease of communication and (4) patient death. Perceived strengths of the GMB process were representation of diverse stakeholder viewpoints and complex system synthesis in a visual causal pathway, the process inclusivity, development of shared understanding, new idea generation and momentum building. Challenges identified included time required for completion and potential for participant selection bias. CONCLUSIONS: GMB facilitated creation of a shared mental model, as a first step in optimizing acute care delivery in a paediatric facility in this resource-limited setting. BioMed Central 2021-01-06 /pmc/articles/PMC7787401/ /pubmed/33407458 http://dx.doi.org/10.1186/s12913-020-06014-7 Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. 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 in a credit line to the data.
spellingShingle Research Article
Muttalib, Fiona
Ballard, Ellis
Langton, Josephine
Malone, Sara
Fonseca, Yudy
Hansmann, Andreas
Remy, Kenneth
Hovmand, Peter
Doctor, Allan
Application of systems dynamics and group model building to identify barriers and facilitators to acute care delivery in a resource limited setting
title Application of systems dynamics and group model building to identify barriers and facilitators to acute care delivery in a resource limited setting
title_full Application of systems dynamics and group model building to identify barriers and facilitators to acute care delivery in a resource limited setting
title_fullStr Application of systems dynamics and group model building to identify barriers and facilitators to acute care delivery in a resource limited setting
title_full_unstemmed Application of systems dynamics and group model building to identify barriers and facilitators to acute care delivery in a resource limited setting
title_short Application of systems dynamics and group model building to identify barriers and facilitators to acute care delivery in a resource limited setting
title_sort application of systems dynamics and group model building to identify barriers and facilitators to acute care delivery in a resource limited setting
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7787401/
https://www.ncbi.nlm.nih.gov/pubmed/33407458
http://dx.doi.org/10.1186/s12913-020-06014-7
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