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Who uses emergency departments inappropriately and when - a national cross-sectional study using a monitoring data system
BACKGROUND: Increasing pressures on emergency departments (ED) are straining services and creating inefficiencies in service delivery worldwide. A potentially avoidable pressure is inappropriate attendances (IA); typically low urgency, self-referred patients better managed by other services. This st...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3886196/ https://www.ncbi.nlm.nih.gov/pubmed/24330758 http://dx.doi.org/10.1186/1741-7015-11-258 |
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author | McHale, Philip Wood, Sara Hughes, Karen Bellis, Mark A Demnitz, Ulf Wyke, Sacha |
author_facet | McHale, Philip Wood, Sara Hughes, Karen Bellis, Mark A Demnitz, Ulf Wyke, Sacha |
author_sort | McHale, Philip |
collection | PubMed |
description | BACKGROUND: Increasing pressures on emergency departments (ED) are straining services and creating inefficiencies in service delivery worldwide. A potentially avoidable pressure is inappropriate attendances (IA); typically low urgency, self-referred patients better managed by other services. This study examines demographics and temporal trends associated with IA to help inform measures to address them. METHODS: Using a national ED dataset, a cross-sectional examination of ED attendances in England from April 2011 to March 2012 (n = 15,056,095) was conducted. IA were defined as patients who were self-referred; were not attending a follow-up; received no investigation and either no treatment or ‘guidance/advice only’; and were discharged with either no follow-up or follow-up with primary care. Small, nationally representative areas were used to assign each attendance to a residential measure of deprivation. Multivariate analysis was used to predict relationships between IA, demographics (age, gender, deprivation) and temporal factors (day, month, hour, bank holiday, Christmas period). RESULTS: Overall, 11.7% of attendances were categorized as inappropriate. IA peaked in early childhood (adjusted odds ratio (AOR) = 1.53 for both one and two year olds), and was elevated throughout late-teens and young adulthood, with odds reducing steadily from age 27 (reference category, age 40). Both IA and appropriate attendances (AA) were most frequent in the most deprived populations. However, relative to AA, those living in the least deprived areas had the highest odds of IA (AOR = 0.89 in most deprived quintile). Odds of IA were also higher for males (AOR = 0.95 in females). Both AA and IA were highest on Mondays, whilst weekends, bank holidays and the period between 8 am and 4 pm saw more IA relative to AA. CONCLUSIONS: Prevention of IA would be best targeted at parents of young children and at older youths/young adults, and during weekends and bank holidays. Service provision focusing on access to primary care and EDs serving the most deprived communities would have the most benefit. Improvements in coverage and data quality of the national ED dataset, and the addition of an appropriateness field, would make this dataset an effective monitoring tool to evaluate interventions addressing this issue. |
format | Online Article Text |
id | pubmed-3886196 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-38861962014-01-10 Who uses emergency departments inappropriately and when - a national cross-sectional study using a monitoring data system McHale, Philip Wood, Sara Hughes, Karen Bellis, Mark A Demnitz, Ulf Wyke, Sacha BMC Med Research Article BACKGROUND: Increasing pressures on emergency departments (ED) are straining services and creating inefficiencies in service delivery worldwide. A potentially avoidable pressure is inappropriate attendances (IA); typically low urgency, self-referred patients better managed by other services. This study examines demographics and temporal trends associated with IA to help inform measures to address them. METHODS: Using a national ED dataset, a cross-sectional examination of ED attendances in England from April 2011 to March 2012 (n = 15,056,095) was conducted. IA were defined as patients who were self-referred; were not attending a follow-up; received no investigation and either no treatment or ‘guidance/advice only’; and were discharged with either no follow-up or follow-up with primary care. Small, nationally representative areas were used to assign each attendance to a residential measure of deprivation. Multivariate analysis was used to predict relationships between IA, demographics (age, gender, deprivation) and temporal factors (day, month, hour, bank holiday, Christmas period). RESULTS: Overall, 11.7% of attendances were categorized as inappropriate. IA peaked in early childhood (adjusted odds ratio (AOR) = 1.53 for both one and two year olds), and was elevated throughout late-teens and young adulthood, with odds reducing steadily from age 27 (reference category, age 40). Both IA and appropriate attendances (AA) were most frequent in the most deprived populations. However, relative to AA, those living in the least deprived areas had the highest odds of IA (AOR = 0.89 in most deprived quintile). Odds of IA were also higher for males (AOR = 0.95 in females). Both AA and IA were highest on Mondays, whilst weekends, bank holidays and the period between 8 am and 4 pm saw more IA relative to AA. CONCLUSIONS: Prevention of IA would be best targeted at parents of young children and at older youths/young adults, and during weekends and bank holidays. Service provision focusing on access to primary care and EDs serving the most deprived communities would have the most benefit. Improvements in coverage and data quality of the national ED dataset, and the addition of an appropriateness field, would make this dataset an effective monitoring tool to evaluate interventions addressing this issue. BioMed Central 2013-12-13 /pmc/articles/PMC3886196/ /pubmed/24330758 http://dx.doi.org/10.1186/1741-7015-11-258 Text en Copyright © 2013 McHale et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Article McHale, Philip Wood, Sara Hughes, Karen Bellis, Mark A Demnitz, Ulf Wyke, Sacha Who uses emergency departments inappropriately and when - a national cross-sectional study using a monitoring data system |
title | Who uses emergency departments inappropriately and when - a national cross-sectional study using a monitoring data system |
title_full | Who uses emergency departments inappropriately and when - a national cross-sectional study using a monitoring data system |
title_fullStr | Who uses emergency departments inappropriately and when - a national cross-sectional study using a monitoring data system |
title_full_unstemmed | Who uses emergency departments inappropriately and when - a national cross-sectional study using a monitoring data system |
title_short | Who uses emergency departments inappropriately and when - a national cross-sectional study using a monitoring data system |
title_sort | who uses emergency departments inappropriately and when - a national cross-sectional study using a monitoring data system |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3886196/ https://www.ncbi.nlm.nih.gov/pubmed/24330758 http://dx.doi.org/10.1186/1741-7015-11-258 |
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