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Emergency department crowding in Singapore: Insights from a systems thinking approach

OBJECTIVES: Emergency Department crowding is a serious and international health care problem that seems to be resistant to most well intended but often reductionist policy approaches. In this study, we examine Emergency Department crowding in Singapore from a systems thinking perspective using causa...

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Autores principales: Schoenenberger, Lukas K, Bayer, Steffen, Ansah, John P, Matchar, David B, Mohanavalli, Rajagopal L, Lam, Sean SW, Ong, Marcus EH
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5052930/
https://www.ncbi.nlm.nih.gov/pubmed/27757231
http://dx.doi.org/10.1177/2050312116671953
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author Schoenenberger, Lukas K
Bayer, Steffen
Ansah, John P
Matchar, David B
Mohanavalli, Rajagopal L
Lam, Sean SW
Ong, Marcus EH
author_facet Schoenenberger, Lukas K
Bayer, Steffen
Ansah, John P
Matchar, David B
Mohanavalli, Rajagopal L
Lam, Sean SW
Ong, Marcus EH
author_sort Schoenenberger, Lukas K
collection PubMed
description OBJECTIVES: Emergency Department crowding is a serious and international health care problem that seems to be resistant to most well intended but often reductionist policy approaches. In this study, we examine Emergency Department crowding in Singapore from a systems thinking perspective using causal loop diagramming to visualize the systemic structure underlying this complex phenomenon. Furthermore, we evaluate the relative impact of three different policies in reducing Emergency Department crowding in Singapore: introduction of geriatric emergency medicine, expansion of emergency medicine training, and implementation of enhanced primary care. METHODS: The construction of the qualitative causal loop diagram is based on consultations with Emergency Department experts, direct observation, and a thorough literature review. For the purpose of policy analysis, a novel approach, the path analysis, is applied. RESULTS: The path analysis revealed that both the introduction of geriatric emergency medicine and the expansion of emergency medicine training may be associated with undesirable consequences contributing to Emergency Department crowding. In contrast, enhancing primary care was found to be germane in reducing Emergency Department crowding; in addition, it has apparently no negative side effects, considering the boundary of the model created. CONCLUSION: Causal loop diagramming was a powerful tool for eliciting the systemic structure of Emergency Department crowding in Singapore. Additionally, the developed model was valuable in testing different policy options.
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spelling pubmed-50529302016-10-18 Emergency department crowding in Singapore: Insights from a systems thinking approach Schoenenberger, Lukas K Bayer, Steffen Ansah, John P Matchar, David B Mohanavalli, Rajagopal L Lam, Sean SW Ong, Marcus EH SAGE Open Med Original Article OBJECTIVES: Emergency Department crowding is a serious and international health care problem that seems to be resistant to most well intended but often reductionist policy approaches. In this study, we examine Emergency Department crowding in Singapore from a systems thinking perspective using causal loop diagramming to visualize the systemic structure underlying this complex phenomenon. Furthermore, we evaluate the relative impact of three different policies in reducing Emergency Department crowding in Singapore: introduction of geriatric emergency medicine, expansion of emergency medicine training, and implementation of enhanced primary care. METHODS: The construction of the qualitative causal loop diagram is based on consultations with Emergency Department experts, direct observation, and a thorough literature review. For the purpose of policy analysis, a novel approach, the path analysis, is applied. RESULTS: The path analysis revealed that both the introduction of geriatric emergency medicine and the expansion of emergency medicine training may be associated with undesirable consequences contributing to Emergency Department crowding. In contrast, enhancing primary care was found to be germane in reducing Emergency Department crowding; in addition, it has apparently no negative side effects, considering the boundary of the model created. CONCLUSION: Causal loop diagramming was a powerful tool for eliciting the systemic structure of Emergency Department crowding in Singapore. Additionally, the developed model was valuable in testing different policy options. SAGE Publications 2016-10-04 /pmc/articles/PMC5052930/ /pubmed/27757231 http://dx.doi.org/10.1177/2050312116671953 Text en © The Author(s) 2016 http://creativecommons.org/licenses/by-nc/3.0/ This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 3.0 License (http://www.creativecommons.org/licenses/by-nc/3.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access page(https://us.sagepub.com/en-us/nam/open-access-at-sage).
spellingShingle Original Article
Schoenenberger, Lukas K
Bayer, Steffen
Ansah, John P
Matchar, David B
Mohanavalli, Rajagopal L
Lam, Sean SW
Ong, Marcus EH
Emergency department crowding in Singapore: Insights from a systems thinking approach
title Emergency department crowding in Singapore: Insights from a systems thinking approach
title_full Emergency department crowding in Singapore: Insights from a systems thinking approach
title_fullStr Emergency department crowding in Singapore: Insights from a systems thinking approach
title_full_unstemmed Emergency department crowding in Singapore: Insights from a systems thinking approach
title_short Emergency department crowding in Singapore: Insights from a systems thinking approach
title_sort emergency department crowding in singapore: insights from a systems thinking approach
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5052930/
https://www.ncbi.nlm.nih.gov/pubmed/27757231
http://dx.doi.org/10.1177/2050312116671953
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