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Examining emergency department inequities: Descriptive analysis of national data (2006–2012)

OBJECTIVE: Internationally, Indigenous and minoritised ethnic groups experience longer wait times, differential pain management and less evaluation and treatment for acute conditions within emergency medicine care. Examining ED Inequities (EEDI) aims to investigate whether inequities between Māori a...

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Autores principales: Curtis, Elana, Paine, Sarah‐Jane, Jiang, Yannan, Jones, Peter, Tomash, Inia, Raumati, Inia, Healey, Olivia, Reid, Papaarangi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Wiley Publishing Asia Pty Ltd 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7756375/
https://www.ncbi.nlm.nih.gov/pubmed/33207396
http://dx.doi.org/10.1111/1742-6723.13592
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author Curtis, Elana
Paine, Sarah‐Jane
Jiang, Yannan
Jones, Peter
Tomash, Inia
Raumati, Inia
Healey, Olivia
Reid, Papaarangi
author_facet Curtis, Elana
Paine, Sarah‐Jane
Jiang, Yannan
Jones, Peter
Tomash, Inia
Raumati, Inia
Healey, Olivia
Reid, Papaarangi
author_sort Curtis, Elana
collection PubMed
description OBJECTIVE: Internationally, Indigenous and minoritised ethnic groups experience longer wait times, differential pain management and less evaluation and treatment for acute conditions within emergency medicine care. Examining ED Inequities (EEDI) aims to investigate whether inequities between Māori and non‐Māori exist within EDs in Aotearoa New Zealand (NZ). This article presents the descriptive findings for the present study. METHODS: A retrospective observational study framed from a Kaupapa Māori positioning, EEDI uses secondary data from emergency medicine admissions into 18/20 District Health Boards in NZ between 2006 and 2012. Data sources include variables from the Shorter Stays in ED National Research Project database and comorbidity data from NZ's National Minimum Dataset. The key predictor of interest is patient ethnicity with descriptive variables, including sex, age group, area deprivation, mode of presentation, referral method, Australasian Triage Scale and trauma status. RESULTS: There were a total of 5 972 102 ED events (1 168 944 Māori, 4 803 158 non‐Māori). We found an increasing proportion of ED events per year, with a higher proportion of Māori from younger age groups and areas of high deprivation compared to non‐Māori events. Māori also had a higher proportion of self‐referral and were triaged to be seen within a longer time frame compared to non‐Māori. CONCLUSION: Our findings show that there are different patterns of ED usage when comparing Māori and non‐Māori events. The next level of analysis of the EEDI dataset will be to examine whether there are any associations between ethnicity and ED outcomes for Māori and non‐Māori patients.
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spelling pubmed-77563752020-12-28 Examining emergency department inequities: Descriptive analysis of national data (2006–2012) Curtis, Elana Paine, Sarah‐Jane Jiang, Yannan Jones, Peter Tomash, Inia Raumati, Inia Healey, Olivia Reid, Papaarangi Emerg Med Australas Original Research OBJECTIVE: Internationally, Indigenous and minoritised ethnic groups experience longer wait times, differential pain management and less evaluation and treatment for acute conditions within emergency medicine care. Examining ED Inequities (EEDI) aims to investigate whether inequities between Māori and non‐Māori exist within EDs in Aotearoa New Zealand (NZ). This article presents the descriptive findings for the present study. METHODS: A retrospective observational study framed from a Kaupapa Māori positioning, EEDI uses secondary data from emergency medicine admissions into 18/20 District Health Boards in NZ between 2006 and 2012. Data sources include variables from the Shorter Stays in ED National Research Project database and comorbidity data from NZ's National Minimum Dataset. The key predictor of interest is patient ethnicity with descriptive variables, including sex, age group, area deprivation, mode of presentation, referral method, Australasian Triage Scale and trauma status. RESULTS: There were a total of 5 972 102 ED events (1 168 944 Māori, 4 803 158 non‐Māori). We found an increasing proportion of ED events per year, with a higher proportion of Māori from younger age groups and areas of high deprivation compared to non‐Māori events. Māori also had a higher proportion of self‐referral and were triaged to be seen within a longer time frame compared to non‐Māori. CONCLUSION: Our findings show that there are different patterns of ED usage when comparing Māori and non‐Māori events. The next level of analysis of the EEDI dataset will be to examine whether there are any associations between ethnicity and ED outcomes for Māori and non‐Māori patients. Wiley Publishing Asia Pty Ltd 2020-11-18 2020-12 /pmc/articles/PMC7756375/ /pubmed/33207396 http://dx.doi.org/10.1111/1742-6723.13592 Text en © 2020 The Authors. Emergency Medicine Australasia published by John Wiley & Sons Australia, Ltd on behalf of Australasian College for Emergency Medicine This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made.
spellingShingle Original Research
Curtis, Elana
Paine, Sarah‐Jane
Jiang, Yannan
Jones, Peter
Tomash, Inia
Raumati, Inia
Healey, Olivia
Reid, Papaarangi
Examining emergency department inequities: Descriptive analysis of national data (2006–2012)
title Examining emergency department inequities: Descriptive analysis of national data (2006–2012)
title_full Examining emergency department inequities: Descriptive analysis of national data (2006–2012)
title_fullStr Examining emergency department inequities: Descriptive analysis of national data (2006–2012)
title_full_unstemmed Examining emergency department inequities: Descriptive analysis of national data (2006–2012)
title_short Examining emergency department inequities: Descriptive analysis of national data (2006–2012)
title_sort examining emergency department inequities: descriptive analysis of national data (2006–2012)
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7756375/
https://www.ncbi.nlm.nih.gov/pubmed/33207396
http://dx.doi.org/10.1111/1742-6723.13592
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