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The impact of delayed transfers of care on emergency departments: common sense arguments, evidence and confounding
OBJECTIVES: There have been claims that Delayed Transfers of Care (DTOCs) of inpatients to home or a less acute setting are related to Emergency Department (ED) crowding. In particular DTOCs were associated with breaches of the UK 4-hour waiting time target in a previously published analysis. Howeve...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BMJ Publishing Group
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7027036/ https://www.ncbi.nlm.nih.gov/pubmed/31767673 http://dx.doi.org/10.1136/emermed-2018-207917 |
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author | Keogh, Brad Monks, Thomas |
author_facet | Keogh, Brad Monks, Thomas |
author_sort | Keogh, Brad |
collection | PubMed |
description | OBJECTIVES: There have been claims that Delayed Transfers of Care (DTOCs) of inpatients to home or a less acute setting are related to Emergency Department (ED) crowding. In particular DTOCs were associated with breaches of the UK 4-hour waiting time target in a previously published analysis. However, the analysis has major limitations by not adjusting for the longitudinal trend of the data. The aim of this work is to investigate whether the proposition that DTOCs impact the 4-hour target requires further research. METHOD: Estimation of an association between two or more variables that are measured over time requires specialised statistical methods. In this study, we performed two separate analyses. First, we created two sets of artificial data with no correlation. We then added an upward trend over time and again assessed for correlation. Second, we reproduced the simple linear regression of the original study using NHS England open data of English trusts between 2010 and 2016, assessing correlation of numbers of DTOCs and ED breaches of the 4-hour target. We then reanalysed the same data using standard time series methods to remove the trend before estimating an association. RESULTS: After introducing upward trends into the uncorrelated artificial data the correlation between the two data sets increased (R(2)=0.00 to 0.51 respectively). We found strong evidence of longitudinal trends within the NHS data of ED breaches and DTOCs. After removal of the trends the R(2) reduced from 0.50 to 0.01. CONCLUSION: Our reanalysis found weak correlation between numbers of DTOCs and ED 4-hour target breaches. Our study does not indicate that there is no relationship between 4-hour target and DTOCs, it highlights that statistically robust evidence for this relationship does not currently exist. Further work is required to understand the relationship between breaches of the 4-hour target and numbers of DTOCs. |
format | Online Article Text |
id | pubmed-7027036 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-70270362020-02-28 The impact of delayed transfers of care on emergency departments: common sense arguments, evidence and confounding Keogh, Brad Monks, Thomas Emerg Med J Original Research OBJECTIVES: There have been claims that Delayed Transfers of Care (DTOCs) of inpatients to home or a less acute setting are related to Emergency Department (ED) crowding. In particular DTOCs were associated with breaches of the UK 4-hour waiting time target in a previously published analysis. However, the analysis has major limitations by not adjusting for the longitudinal trend of the data. The aim of this work is to investigate whether the proposition that DTOCs impact the 4-hour target requires further research. METHOD: Estimation of an association between two or more variables that are measured over time requires specialised statistical methods. In this study, we performed two separate analyses. First, we created two sets of artificial data with no correlation. We then added an upward trend over time and again assessed for correlation. Second, we reproduced the simple linear regression of the original study using NHS England open data of English trusts between 2010 and 2016, assessing correlation of numbers of DTOCs and ED breaches of the 4-hour target. We then reanalysed the same data using standard time series methods to remove the trend before estimating an association. RESULTS: After introducing upward trends into the uncorrelated artificial data the correlation between the two data sets increased (R(2)=0.00 to 0.51 respectively). We found strong evidence of longitudinal trends within the NHS data of ED breaches and DTOCs. After removal of the trends the R(2) reduced from 0.50 to 0.01. CONCLUSION: Our reanalysis found weak correlation between numbers of DTOCs and ED 4-hour target breaches. Our study does not indicate that there is no relationship between 4-hour target and DTOCs, it highlights that statistically robust evidence for this relationship does not currently exist. Further work is required to understand the relationship between breaches of the 4-hour target and numbers of DTOCs. BMJ Publishing Group 2020-02 2019-11-25 /pmc/articles/PMC7027036/ /pubmed/31767673 http://dx.doi.org/10.1136/emermed-2018-207917 Text en © Author(s) (or their employer(s)) 2020. Re-use permitted under CC BY. Published by BMJ. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution 4.0 Unported (CC BY 4.0) license, which permits others to copy, redistribute, remix, transform and build upon this work for any purpose, provided the original work is properly cited, a link to the licence is given, and indication of whether changes were made. See: https://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Original Research Keogh, Brad Monks, Thomas The impact of delayed transfers of care on emergency departments: common sense arguments, evidence and confounding |
title | The impact of delayed transfers of care on emergency departments: common sense arguments, evidence and confounding |
title_full | The impact of delayed transfers of care on emergency departments: common sense arguments, evidence and confounding |
title_fullStr | The impact of delayed transfers of care on emergency departments: common sense arguments, evidence and confounding |
title_full_unstemmed | The impact of delayed transfers of care on emergency departments: common sense arguments, evidence and confounding |
title_short | The impact of delayed transfers of care on emergency departments: common sense arguments, evidence and confounding |
title_sort | impact of delayed transfers of care on emergency departments: common sense arguments, evidence and confounding |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7027036/ https://www.ncbi.nlm.nih.gov/pubmed/31767673 http://dx.doi.org/10.1136/emermed-2018-207917 |
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