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Hospital-wide cardiac arrest in situ simulation to identify and mitigate latent safety threats
BACKGROUND: Cardiac arrest resuscitation requires well-executed teamwork to produce optimal outcomes. Frequency of cardiac arrest events differs by hospital location, which presents unique challenges in care due to variations in responding team composition and comfort levels and familiarity with obt...
Autores principales: | , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9124397/ https://www.ncbi.nlm.nih.gov/pubmed/35598031 http://dx.doi.org/10.1186/s41077-022-00209-0 |
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author | Bentley, Suzanne K. Meshel, Alexander Boehm, Lorraine Dilos, Barbara McIndoe, Mamie Carroll-Bennett, Rachel Astua, Alfredo J. Wong, Lillian Smith, Colleen Iavicoli, Laura LaMonica, Julia Lopez, Tania Quitain, Jose Dube, Guirlene Manini, Alex F. Halbach, Joseph Meguerdichian, Michael Bajaj, Komal |
author_facet | Bentley, Suzanne K. Meshel, Alexander Boehm, Lorraine Dilos, Barbara McIndoe, Mamie Carroll-Bennett, Rachel Astua, Alfredo J. Wong, Lillian Smith, Colleen Iavicoli, Laura LaMonica, Julia Lopez, Tania Quitain, Jose Dube, Guirlene Manini, Alex F. Halbach, Joseph Meguerdichian, Michael Bajaj, Komal |
author_sort | Bentley, Suzanne K. |
collection | PubMed |
description | BACKGROUND: Cardiac arrest resuscitation requires well-executed teamwork to produce optimal outcomes. Frequency of cardiac arrest events differs by hospital location, which presents unique challenges in care due to variations in responding team composition and comfort levels and familiarity with obtaining and utilizing arrest equipment. The objective of this initiative is to utilize unannounced, in situ, cardiac arrest simulations hospital wide to educate, evaluate, and maximize cardiac arrest teams outside the traditional simulation lab by systematically assessing and capturing areas of opportunity for improvement, latent safety threats (LSTs), and key challenges by hospital location. METHODS: Unannounced in situ simulations were performed at a city hospital with multidisciplinary cardiac arrest teams responding to a presumed real cardiac arrest. Participants and facilitators identified LSTs during standardized postsimulation debriefings that were classified into equipment, medication, resource/system, or technical skill categories. A hazard matrix was used by multiplying occurrence frequency of LST in simulation and real clinical events (based on expert opinion) and severity of the LST based on agreement between two evaluators. RESULTS: Seventy-four in situ cardiac arrest simulations were conducted hospital wide. Hundreds of safety threats were identified, analyzed, and categorized yielding 106 unique latent safety threats: 21 in the equipment category, 8 in the medication category, 41 in the resource/system category, and 36 in the technical skill category. The team worked to mitigate all LSTs with priority mitigation to imminent risk level threats, then high risk threats, followed by non-imminent risk LSTs. Four LSTs were deemed imminent, requiring immediate remediation post debriefing. Fifteen LSTs had a hazard ratio greater than 8 which were deemed high risk for remediation. Depending on the category of threat, a combination of mitigating steps including the immediate fixing of an identified problem, leadership escalation, and programmatic intervention recommendations occurred resulting in mitigation of all identified threats. CONCLUSIONS: Hospital-wide in situ cardiac arrest team simulation offers an effective way to both identify and mitigate LSTs. Safety during cardiac arrest care is improved through the use of a system in which LSTs are escalated urgently, mitigated, and conveyed back to participants to provide closed loop debriefing. Lastly, this hospital-wide, multidisciplinary initiative additionally served as an educational needs assessment allowing for informed, iterative education and systems improvement initiatives targeted to areas of LSTs and areas of opportunity. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s41077-022-00209-0. |
format | Online Article Text |
id | pubmed-9124397 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-91243972022-05-23 Hospital-wide cardiac arrest in situ simulation to identify and mitigate latent safety threats Bentley, Suzanne K. Meshel, Alexander Boehm, Lorraine Dilos, Barbara McIndoe, Mamie Carroll-Bennett, Rachel Astua, Alfredo J. Wong, Lillian Smith, Colleen Iavicoli, Laura LaMonica, Julia Lopez, Tania Quitain, Jose Dube, Guirlene Manini, Alex F. Halbach, Joseph Meguerdichian, Michael Bajaj, Komal Adv Simul (Lond) Research BACKGROUND: Cardiac arrest resuscitation requires well-executed teamwork to produce optimal outcomes. Frequency of cardiac arrest events differs by hospital location, which presents unique challenges in care due to variations in responding team composition and comfort levels and familiarity with obtaining and utilizing arrest equipment. The objective of this initiative is to utilize unannounced, in situ, cardiac arrest simulations hospital wide to educate, evaluate, and maximize cardiac arrest teams outside the traditional simulation lab by systematically assessing and capturing areas of opportunity for improvement, latent safety threats (LSTs), and key challenges by hospital location. METHODS: Unannounced in situ simulations were performed at a city hospital with multidisciplinary cardiac arrest teams responding to a presumed real cardiac arrest. Participants and facilitators identified LSTs during standardized postsimulation debriefings that were classified into equipment, medication, resource/system, or technical skill categories. A hazard matrix was used by multiplying occurrence frequency of LST in simulation and real clinical events (based on expert opinion) and severity of the LST based on agreement between two evaluators. RESULTS: Seventy-four in situ cardiac arrest simulations were conducted hospital wide. Hundreds of safety threats were identified, analyzed, and categorized yielding 106 unique latent safety threats: 21 in the equipment category, 8 in the medication category, 41 in the resource/system category, and 36 in the technical skill category. The team worked to mitigate all LSTs with priority mitigation to imminent risk level threats, then high risk threats, followed by non-imminent risk LSTs. Four LSTs were deemed imminent, requiring immediate remediation post debriefing. Fifteen LSTs had a hazard ratio greater than 8 which were deemed high risk for remediation. Depending on the category of threat, a combination of mitigating steps including the immediate fixing of an identified problem, leadership escalation, and programmatic intervention recommendations occurred resulting in mitigation of all identified threats. CONCLUSIONS: Hospital-wide in situ cardiac arrest team simulation offers an effective way to both identify and mitigate LSTs. Safety during cardiac arrest care is improved through the use of a system in which LSTs are escalated urgently, mitigated, and conveyed back to participants to provide closed loop debriefing. Lastly, this hospital-wide, multidisciplinary initiative additionally served as an educational needs assessment allowing for informed, iterative education and systems improvement initiatives targeted to areas of LSTs and areas of opportunity. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s41077-022-00209-0. BioMed Central 2022-05-21 /pmc/articles/PMC9124397/ /pubmed/35598031 http://dx.doi.org/10.1186/s41077-022-00209-0 Text en © The Author(s) 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 Bentley, Suzanne K. Meshel, Alexander Boehm, Lorraine Dilos, Barbara McIndoe, Mamie Carroll-Bennett, Rachel Astua, Alfredo J. Wong, Lillian Smith, Colleen Iavicoli, Laura LaMonica, Julia Lopez, Tania Quitain, Jose Dube, Guirlene Manini, Alex F. Halbach, Joseph Meguerdichian, Michael Bajaj, Komal Hospital-wide cardiac arrest in situ simulation to identify and mitigate latent safety threats |
title | Hospital-wide cardiac arrest in situ simulation to identify and mitigate latent safety threats |
title_full | Hospital-wide cardiac arrest in situ simulation to identify and mitigate latent safety threats |
title_fullStr | Hospital-wide cardiac arrest in situ simulation to identify and mitigate latent safety threats |
title_full_unstemmed | Hospital-wide cardiac arrest in situ simulation to identify and mitigate latent safety threats |
title_short | Hospital-wide cardiac arrest in situ simulation to identify and mitigate latent safety threats |
title_sort | hospital-wide cardiac arrest in situ simulation to identify and mitigate latent safety threats |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9124397/ https://www.ncbi.nlm.nih.gov/pubmed/35598031 http://dx.doi.org/10.1186/s41077-022-00209-0 |
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