Cargando…

Exploring emergency department 4-hour target performance and cancelled elective operations: a regression analysis of routinely collected and openly reported NHS trust data

OBJECTIVE: To quantify the effect of intrahospital patient flow on emergency department (ED) performance targets and indicate if the expectations set by the National Health Service (NHS) England 5-year forward review are realistic in returning emergency services to previous performance levels. DESIG...

Descripción completa

Detalles Bibliográficos
Autores principales: Keogh, Brad, Culliford, David, Guerrero-Ludueña, Richard, Monks, Thomas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5988090/
https://www.ncbi.nlm.nih.gov/pubmed/29794093
http://dx.doi.org/10.1136/bmjopen-2017-020296
_version_ 1783329231141339136
author Keogh, Brad
Culliford, David
Guerrero-Ludueña, Richard
Monks, Thomas
author_facet Keogh, Brad
Culliford, David
Guerrero-Ludueña, Richard
Monks, Thomas
author_sort Keogh, Brad
collection PubMed
description OBJECTIVE: To quantify the effect of intrahospital patient flow on emergency department (ED) performance targets and indicate if the expectations set by the National Health Service (NHS) England 5-year forward review are realistic in returning emergency services to previous performance levels. DESIGN: Linear regression analysis of routinely reported trust activity and performance data using a series of cross-sectional studies. SETTING: NHS trusts in England submitting routine nationally reported measures to NHS England. PARTICIPANTS: 142 acute non-specialist trusts operating in England between 2012 and 2016. MAIN OUTCOME MEASURES: The primary outcome measures were proportion of 4-hour waiting time breaches and cancelled elective operations. METHODS: Univariate and multivariate linear regression models were used to show relationships between the outcome measures and various measures of trust activity including empty day beds, empty night beds, day bed to night bed ratio, ED conversion ratio and delayed transfers of care. RESULTS: Univariate regression results using the outcome of 4-hour breaches showed clear relationships with empty night beds and ED conversion ratio between 2012 and 2016. The day bed to night bed ratio showed an increasing ability to explain variation in performance between 2015 and 2016. Delayed transfers of care showed little evidence of an association. Multivariate model results indicated that the ability of patient flow variables to explain 4-hour target performance had reduced between 2012 and 2016 (19% to 12%), and had increased in explaining cancelled elective operations (7% to 17%). CONCLUSIONS: The flow of patients through trusts is shown to influence ED performance; however, performance has become less explainable by intratrust patient flow between 2012 and 2016. Some commonly stated explanatory factors such as delayed transfers of care showed limited evidence of being related. The results indicate some of the measures proposed by NHS England to reduce pressure on EDs may not have the desired impact on returning services to previous performance levels.
format Online
Article
Text
id pubmed-5988090
institution National Center for Biotechnology Information
language English
publishDate 2018
publisher BMJ Publishing Group
record_format MEDLINE/PubMed
spelling pubmed-59880902018-06-07 Exploring emergency department 4-hour target performance and cancelled elective operations: a regression analysis of routinely collected and openly reported NHS trust data Keogh, Brad Culliford, David Guerrero-Ludueña, Richard Monks, Thomas BMJ Open Emergency Medicine OBJECTIVE: To quantify the effect of intrahospital patient flow on emergency department (ED) performance targets and indicate if the expectations set by the National Health Service (NHS) England 5-year forward review are realistic in returning emergency services to previous performance levels. DESIGN: Linear regression analysis of routinely reported trust activity and performance data using a series of cross-sectional studies. SETTING: NHS trusts in England submitting routine nationally reported measures to NHS England. PARTICIPANTS: 142 acute non-specialist trusts operating in England between 2012 and 2016. MAIN OUTCOME MEASURES: The primary outcome measures were proportion of 4-hour waiting time breaches and cancelled elective operations. METHODS: Univariate and multivariate linear regression models were used to show relationships between the outcome measures and various measures of trust activity including empty day beds, empty night beds, day bed to night bed ratio, ED conversion ratio and delayed transfers of care. RESULTS: Univariate regression results using the outcome of 4-hour breaches showed clear relationships with empty night beds and ED conversion ratio between 2012 and 2016. The day bed to night bed ratio showed an increasing ability to explain variation in performance between 2015 and 2016. Delayed transfers of care showed little evidence of an association. Multivariate model results indicated that the ability of patient flow variables to explain 4-hour target performance had reduced between 2012 and 2016 (19% to 12%), and had increased in explaining cancelled elective operations (7% to 17%). CONCLUSIONS: The flow of patients through trusts is shown to influence ED performance; however, performance has become less explainable by intratrust patient flow between 2012 and 2016. Some commonly stated explanatory factors such as delayed transfers of care showed limited evidence of being related. The results indicate some of the measures proposed by NHS England to reduce pressure on EDs may not have the desired impact on returning services to previous performance levels. BMJ Publishing Group 2018-05-24 /pmc/articles/PMC5988090/ /pubmed/29794093 http://dx.doi.org/10.1136/bmjopen-2017-020296 Text en © Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2018. All rights reserved. No commercial use is permitted unless otherwise expressly granted. This is an Open Access article distributed in accordance with the terms of the Creative Commons Attribution (CC BY 4.0) license, which permits others to distribute, remix, adapt and build upon this work, for commercial use, provided the original work is properly cited. See: http://creativecommons.org/licenses/by/4.0/
spellingShingle Emergency Medicine
Keogh, Brad
Culliford, David
Guerrero-Ludueña, Richard
Monks, Thomas
Exploring emergency department 4-hour target performance and cancelled elective operations: a regression analysis of routinely collected and openly reported NHS trust data
title Exploring emergency department 4-hour target performance and cancelled elective operations: a regression analysis of routinely collected and openly reported NHS trust data
title_full Exploring emergency department 4-hour target performance and cancelled elective operations: a regression analysis of routinely collected and openly reported NHS trust data
title_fullStr Exploring emergency department 4-hour target performance and cancelled elective operations: a regression analysis of routinely collected and openly reported NHS trust data
title_full_unstemmed Exploring emergency department 4-hour target performance and cancelled elective operations: a regression analysis of routinely collected and openly reported NHS trust data
title_short Exploring emergency department 4-hour target performance and cancelled elective operations: a regression analysis of routinely collected and openly reported NHS trust data
title_sort exploring emergency department 4-hour target performance and cancelled elective operations: a regression analysis of routinely collected and openly reported nhs trust data
topic Emergency Medicine
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5988090/
https://www.ncbi.nlm.nih.gov/pubmed/29794093
http://dx.doi.org/10.1136/bmjopen-2017-020296
work_keys_str_mv AT keoghbrad exploringemergencydepartment4hourtargetperformanceandcancelledelectiveoperationsaregressionanalysisofroutinelycollectedandopenlyreportednhstrustdata
AT culliforddavid exploringemergencydepartment4hourtargetperformanceandcancelledelectiveoperationsaregressionanalysisofroutinelycollectedandopenlyreportednhstrustdata
AT guerreroluduenarichard exploringemergencydepartment4hourtargetperformanceandcancelledelectiveoperationsaregressionanalysisofroutinelycollectedandopenlyreportednhstrustdata
AT monksthomas exploringemergencydepartment4hourtargetperformanceandcancelledelectiveoperationsaregressionanalysisofroutinelycollectedandopenlyreportednhstrustdata