Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Keogh, Brad, Monks, Thomas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2020
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
_version_ 1783498785093058560
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
work_keys_str_mv AT keoghbrad theimpactofdelayedtransfersofcareonemergencydepartmentscommonsenseargumentsevidenceandconfounding
AT monksthomas theimpactofdelayedtransfersofcareonemergencydepartmentscommonsenseargumentsevidenceandconfounding
AT keoghbrad impactofdelayedtransfersofcareonemergencydepartmentscommonsenseargumentsevidenceandconfounding
AT monksthomas impactofdelayedtransfersofcareonemergencydepartmentscommonsenseargumentsevidenceandconfounding