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Not all waits are equal: an exploratory investigation of emergency care patient pathways

BACKGROUND: Increasing pressure in the United Kingdom (UK) urgent care system has led to Emergency Departments (EDs) failing to meet the national requirement that 95% of patients are admitted, discharged or transferred within 4-h of arrival. Despite the target being the same for all acute hospitals,...

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Autores principales: Swancutt, Dawn, Joel-Edgar, Sian, Allen, Michael, Thomas, Daniel, Brant, Heather, Benger, Jonathan, Byng, Richard, Pinkney, Jonathan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5482933/
https://www.ncbi.nlm.nih.gov/pubmed/28646876
http://dx.doi.org/10.1186/s12913-017-2349-2
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author Swancutt, Dawn
Joel-Edgar, Sian
Allen, Michael
Thomas, Daniel
Brant, Heather
Benger, Jonathan
Byng, Richard
Pinkney, Jonathan
author_facet Swancutt, Dawn
Joel-Edgar, Sian
Allen, Michael
Thomas, Daniel
Brant, Heather
Benger, Jonathan
Byng, Richard
Pinkney, Jonathan
author_sort Swancutt, Dawn
collection PubMed
description BACKGROUND: Increasing pressure in the United Kingdom (UK) urgent care system has led to Emergency Departments (EDs) failing to meet the national requirement that 95% of patients are admitted, discharged or transferred within 4-h of arrival. Despite the target being the same for all acute hospitals, individual Trusts organise their services in different ways. The impact of this variation on patient journey time and waiting is unknown. Our study aimed to apply the Lean technique of Value Stream Mapping (VSM) to investigate care processes and delays in patient journeys at four contrasting hospitals. METHODS: VSM timing data were collected for patients accessing acute care at four hospitals in South West England. Data were categorised according to waits and activities, which were compared across sites to identify variations in practice from the patient viewpoint. We included Public and Patient Involvement (PPI) to fully interpret our findings; observations and initial findings were considered in a PPI workshop. RESULTS: One hundred eight patients were recruited, comprising 25,432 min of patient time containing 4098 episodes of care or waiting. The median patient journey was 223 min (3 h, 43 min); just within the 4-h target. Although total patient journey times were similar between sites, the stage where the greatest proportion of waiting occurred varied. Reasons for waiting were dominated by waits for beds, investigations or results to be available. From our sample we observed that EDs without a discharge/clinical decision area exhibited a greater proportion of waiting time following an admission or discharge decision. PPI interpretation indicated that patients who experience waits at the beginning of their journey feel more anxious because they are ‘not in the system yet’. CONCLUSIONS: The novel application of VSM analysis across different hospitals, coupled with PPI interpretation, provides important insight into the impact of care provision on patient experience. Measures that could reduce patient waiting include automatic notification of test results, and the option of discharge/clinical decision areas for patients awaiting results or departure. To enhance patient experience, good communication with patients and relatives about reasons for waits is essential.
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spelling pubmed-54829332017-06-26 Not all waits are equal: an exploratory investigation of emergency care patient pathways Swancutt, Dawn Joel-Edgar, Sian Allen, Michael Thomas, Daniel Brant, Heather Benger, Jonathan Byng, Richard Pinkney, Jonathan BMC Health Serv Res Research Article BACKGROUND: Increasing pressure in the United Kingdom (UK) urgent care system has led to Emergency Departments (EDs) failing to meet the national requirement that 95% of patients are admitted, discharged or transferred within 4-h of arrival. Despite the target being the same for all acute hospitals, individual Trusts organise their services in different ways. The impact of this variation on patient journey time and waiting is unknown. Our study aimed to apply the Lean technique of Value Stream Mapping (VSM) to investigate care processes and delays in patient journeys at four contrasting hospitals. METHODS: VSM timing data were collected for patients accessing acute care at four hospitals in South West England. Data were categorised according to waits and activities, which were compared across sites to identify variations in practice from the patient viewpoint. We included Public and Patient Involvement (PPI) to fully interpret our findings; observations and initial findings were considered in a PPI workshop. RESULTS: One hundred eight patients were recruited, comprising 25,432 min of patient time containing 4098 episodes of care or waiting. The median patient journey was 223 min (3 h, 43 min); just within the 4-h target. Although total patient journey times were similar between sites, the stage where the greatest proportion of waiting occurred varied. Reasons for waiting were dominated by waits for beds, investigations or results to be available. From our sample we observed that EDs without a discharge/clinical decision area exhibited a greater proportion of waiting time following an admission or discharge decision. PPI interpretation indicated that patients who experience waits at the beginning of their journey feel more anxious because they are ‘not in the system yet’. CONCLUSIONS: The novel application of VSM analysis across different hospitals, coupled with PPI interpretation, provides important insight into the impact of care provision on patient experience. Measures that could reduce patient waiting include automatic notification of test results, and the option of discharge/clinical decision areas for patients awaiting results or departure. To enhance patient experience, good communication with patients and relatives about reasons for waits is essential. BioMed Central 2017-06-24 /pmc/articles/PMC5482933/ /pubmed/28646876 http://dx.doi.org/10.1186/s12913-017-2349-2 Text en © The Author(s). 2017 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. 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
Swancutt, Dawn
Joel-Edgar, Sian
Allen, Michael
Thomas, Daniel
Brant, Heather
Benger, Jonathan
Byng, Richard
Pinkney, Jonathan
Not all waits are equal: an exploratory investigation of emergency care patient pathways
title Not all waits are equal: an exploratory investigation of emergency care patient pathways
title_full Not all waits are equal: an exploratory investigation of emergency care patient pathways
title_fullStr Not all waits are equal: an exploratory investigation of emergency care patient pathways
title_full_unstemmed Not all waits are equal: an exploratory investigation of emergency care patient pathways
title_short Not all waits are equal: an exploratory investigation of emergency care patient pathways
title_sort not all waits are equal: an exploratory investigation of emergency care patient pathways
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5482933/
https://www.ncbi.nlm.nih.gov/pubmed/28646876
http://dx.doi.org/10.1186/s12913-017-2349-2
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