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Capturing data for emergency department performance monitoring purposes

Background: Good-quality data is required for valid and reliable key performance indicators. Little is known of the facilitators and barriers of capturing the required data for emergency department key performance indicators. This study aimed to explore and understand how current emergency departmen...

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Autores principales: McCabe, Aileen, Brenner, Maria, Larkin, Philip, Nic An Fhailí, Sinéad, Gannon, Brenda, O'Sullivan, Ronan, Wakai, Abel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: F1000 Research Limited 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7490568/
https://www.ncbi.nlm.nih.gov/pubmed/32968709
http://dx.doi.org/10.12688/hrbopenres.12912.1
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author McCabe, Aileen
Brenner, Maria
Larkin, Philip
Nic An Fhailí, Sinéad
Gannon, Brenda
O'Sullivan, Ronan
Wakai, Abel
author_facet McCabe, Aileen
Brenner, Maria
Larkin, Philip
Nic An Fhailí, Sinéad
Gannon, Brenda
O'Sullivan, Ronan
Wakai, Abel
author_sort McCabe, Aileen
collection PubMed
description Background: Good-quality data is required for valid and reliable key performance indicators. Little is known of the facilitators and barriers of capturing the required data for emergency department key performance indicators. This study aimed to explore and understand how current emergency department data collection systems relevant to emergency department key performance indicators are integrated into routine service delivery, and to identify the resources required to capture these data elements. Methods: Following pilot testing, we conducted two focus groups with a multi-disciplinary panel of 14 emergency department stakeholders drawn from urban and rural emergency departments, respectively. Focus groups were analyzed using Attride–Stirling’s framework for thematic network analysis. Results: The global theme “Understanding facilitators and barriers for emergency department data collection systems” emerged from three organizing themes: “understanding current emergency department data collection systems”; “achieving the ideal emergency department data capture system for the implementation of emergency department key performance indicators”; and “emergency department data capture systems for performance monitoring purposes within the wider context”. Conclusion: The pathways to improving emergency department data capture systems for emergency department key performance indicators include upgrading emergency department information systems and investment in hardware technology and data managers. Educating stakeholders outside the emergency department regarding the importance of emergency department key performance indicators as hospital-wide performance indicators underpins the successful implementation of valid and reliable emergency department key performance indicators.
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spelling pubmed-74905682020-09-22 Capturing data for emergency department performance monitoring purposes McCabe, Aileen Brenner, Maria Larkin, Philip Nic An Fhailí, Sinéad Gannon, Brenda O'Sullivan, Ronan Wakai, Abel HRB Open Res Research Article Background: Good-quality data is required for valid and reliable key performance indicators. Little is known of the facilitators and barriers of capturing the required data for emergency department key performance indicators. This study aimed to explore and understand how current emergency department data collection systems relevant to emergency department key performance indicators are integrated into routine service delivery, and to identify the resources required to capture these data elements. Methods: Following pilot testing, we conducted two focus groups with a multi-disciplinary panel of 14 emergency department stakeholders drawn from urban and rural emergency departments, respectively. Focus groups were analyzed using Attride–Stirling’s framework for thematic network analysis. Results: The global theme “Understanding facilitators and barriers for emergency department data collection systems” emerged from three organizing themes: “understanding current emergency department data collection systems”; “achieving the ideal emergency department data capture system for the implementation of emergency department key performance indicators”; and “emergency department data capture systems for performance monitoring purposes within the wider context”. Conclusion: The pathways to improving emergency department data capture systems for emergency department key performance indicators include upgrading emergency department information systems and investment in hardware technology and data managers. Educating stakeholders outside the emergency department regarding the importance of emergency department key performance indicators as hospital-wide performance indicators underpins the successful implementation of valid and reliable emergency department key performance indicators. F1000 Research Limited 2019-08-13 /pmc/articles/PMC7490568/ /pubmed/32968709 http://dx.doi.org/10.12688/hrbopenres.12912.1 Text en Copyright: © 2019 McCabe A et al. http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
McCabe, Aileen
Brenner, Maria
Larkin, Philip
Nic An Fhailí, Sinéad
Gannon, Brenda
O'Sullivan, Ronan
Wakai, Abel
Capturing data for emergency department performance monitoring purposes
title Capturing data for emergency department performance monitoring purposes
title_full Capturing data for emergency department performance monitoring purposes
title_fullStr Capturing data for emergency department performance monitoring purposes
title_full_unstemmed Capturing data for emergency department performance monitoring purposes
title_short Capturing data for emergency department performance monitoring purposes
title_sort capturing data for emergency department performance monitoring purposes
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7490568/
https://www.ncbi.nlm.nih.gov/pubmed/32968709
http://dx.doi.org/10.12688/hrbopenres.12912.1
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