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A qualitative system dynamics model for effects of workplace violence and clinician burnout on agitation management in the emergency department

ABSTRACT: BACKGROUND: Over 1.7 million episodes of agitation occur annually across the United States in emergency departments (EDs), some of which lead to workplace assaults on clinicians and require invasive methods like physical restraints to maintain staff and patient safety. Recent studies demon...

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Autores principales: Wong, Ambrose H., Sabounchi, Nasim S., Roncallo, Hannah R., Ray, Jessica M., Heckmann, Rebekah
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8760708/
https://www.ncbi.nlm.nih.gov/pubmed/35033071
http://dx.doi.org/10.1186/s12913-022-07472-x
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author Wong, Ambrose H.
Sabounchi, Nasim S.
Roncallo, Hannah R.
Ray, Jessica M.
Heckmann, Rebekah
author_facet Wong, Ambrose H.
Sabounchi, Nasim S.
Roncallo, Hannah R.
Ray, Jessica M.
Heckmann, Rebekah
author_sort Wong, Ambrose H.
collection PubMed
description ABSTRACT: BACKGROUND: Over 1.7 million episodes of agitation occur annually across the United States in emergency departments (EDs), some of which lead to workplace assaults on clinicians and require invasive methods like physical restraints to maintain staff and patient safety. Recent studies demonstrated that experiences of workplace violence contribute to symptoms of burnout, which may impact future decisions regarding use of physical restraints on agitated patients. To capture the dynamic interactions between clinicians and agitated patients under their care, we applied qualitative system dynamics methods to develop a model that describes feedback mechanisms of clinician burnout and the use of physical restraints to manage agitation. METHODS: We convened an interprofessional panel of clinician stakeholders and agitation experts for a series of model building sessions to develop the current model. The panel derived the final version of our model over ten sessions of iterative refinement and modification, each lasting approximately three to four hours. We incorporated findings from prior studies on agitation and burnout related to workplace violence, identifying interpersonal and psychological factors likely to influence our outcomes of interest to form the basis of our model. RESULTS: The final model resulted in five main sets of feedback loops that describe key narratives regarding the relationship between clinician burnout and agitated patients becoming physically restrained: (1) use of restraints decreases agitation and risk of assault, leading to increased perceptions of safety and decreasing use of restraints in a balancing feedback loop which stabilizes the system; (2) clinician stress leads to a perception of decreased safety and lower threshold to restrain, causing more stress in a negatively reinforcing loop; (3) clinician burnout leads to a decreased perception of colleague support which leads to more burnout in a negatively reinforcing loop; (4) clinician burnout leads to negative perceptions of patient intent during agitation, thus lowering threshold to restrain and leading to higher task load, more likelihood of workplace assaults, and higher burnout in a negatively reinforcing loop; and (5) mutual trust between clinicians causes increased perceptions of safety and improved team control, leading to decreased clinician stress and further increased mutual trust in a positively reinforcing loop. CONCLUSIONS: Our system dynamics approach led to the development of a robust qualitative model that illustrates a number of important feedback cycles that underly the relationships between clinician experiences of workplace violence, stress and burnout, and impact on decisions to physically restrain agitated patients. This work identifies potential opportunities at multiple targets to break negatively reinforcing cycles and support positive influences on safety for both clinicians and patients in the face of physical danger. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12913-022-07472-x.
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spelling pubmed-87607082022-01-18 A qualitative system dynamics model for effects of workplace violence and clinician burnout on agitation management in the emergency department Wong, Ambrose H. Sabounchi, Nasim S. Roncallo, Hannah R. Ray, Jessica M. Heckmann, Rebekah BMC Health Serv Res Research ABSTRACT: BACKGROUND: Over 1.7 million episodes of agitation occur annually across the United States in emergency departments (EDs), some of which lead to workplace assaults on clinicians and require invasive methods like physical restraints to maintain staff and patient safety. Recent studies demonstrated that experiences of workplace violence contribute to symptoms of burnout, which may impact future decisions regarding use of physical restraints on agitated patients. To capture the dynamic interactions between clinicians and agitated patients under their care, we applied qualitative system dynamics methods to develop a model that describes feedback mechanisms of clinician burnout and the use of physical restraints to manage agitation. METHODS: We convened an interprofessional panel of clinician stakeholders and agitation experts for a series of model building sessions to develop the current model. The panel derived the final version of our model over ten sessions of iterative refinement and modification, each lasting approximately three to four hours. We incorporated findings from prior studies on agitation and burnout related to workplace violence, identifying interpersonal and psychological factors likely to influence our outcomes of interest to form the basis of our model. RESULTS: The final model resulted in five main sets of feedback loops that describe key narratives regarding the relationship between clinician burnout and agitated patients becoming physically restrained: (1) use of restraints decreases agitation and risk of assault, leading to increased perceptions of safety and decreasing use of restraints in a balancing feedback loop which stabilizes the system; (2) clinician stress leads to a perception of decreased safety and lower threshold to restrain, causing more stress in a negatively reinforcing loop; (3) clinician burnout leads to a decreased perception of colleague support which leads to more burnout in a negatively reinforcing loop; (4) clinician burnout leads to negative perceptions of patient intent during agitation, thus lowering threshold to restrain and leading to higher task load, more likelihood of workplace assaults, and higher burnout in a negatively reinforcing loop; and (5) mutual trust between clinicians causes increased perceptions of safety and improved team control, leading to decreased clinician stress and further increased mutual trust in a positively reinforcing loop. CONCLUSIONS: Our system dynamics approach led to the development of a robust qualitative model that illustrates a number of important feedback cycles that underly the relationships between clinician experiences of workplace violence, stress and burnout, and impact on decisions to physically restrain agitated patients. This work identifies potential opportunities at multiple targets to break negatively reinforcing cycles and support positive influences on safety for both clinicians and patients in the face of physical danger. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12913-022-07472-x. BioMed Central 2022-01-15 /pmc/articles/PMC8760708/ /pubmed/35033071 http://dx.doi.org/10.1186/s12913-022-07472-x Text en © The Author(s) 2022, corrected publication 2022 https://creativecommons.org/licenses/by/4.0/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/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://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
Wong, Ambrose H.
Sabounchi, Nasim S.
Roncallo, Hannah R.
Ray, Jessica M.
Heckmann, Rebekah
A qualitative system dynamics model for effects of workplace violence and clinician burnout on agitation management in the emergency department
title A qualitative system dynamics model for effects of workplace violence and clinician burnout on agitation management in the emergency department
title_full A qualitative system dynamics model for effects of workplace violence and clinician burnout on agitation management in the emergency department
title_fullStr A qualitative system dynamics model for effects of workplace violence and clinician burnout on agitation management in the emergency department
title_full_unstemmed A qualitative system dynamics model for effects of workplace violence and clinician burnout on agitation management in the emergency department
title_short A qualitative system dynamics model for effects of workplace violence and clinician burnout on agitation management in the emergency department
title_sort qualitative system dynamics model for effects of workplace violence and clinician burnout on agitation management in the emergency department
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8760708/
https://www.ncbi.nlm.nih.gov/pubmed/35033071
http://dx.doi.org/10.1186/s12913-022-07472-x
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