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Why is hitting A&E time targets so hard?: using Nudge theory and modelling to improve response times
AIMS: To improve the one hour response times to referrals made to psychiatric Liaison in A&E without adding or changing available resources. METHOD: Response time data of referrals made to the Homerton University Hospital psychiatric liaison service was collected dating back from August 2016 to...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cambridge University Press
2021
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8770456/ http://dx.doi.org/10.1192/bjo.2021.595 |
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author | Svedberg, Kaj |
author_facet | Svedberg, Kaj |
author_sort | Svedberg, Kaj |
collection | PubMed |
description | AIMS: To improve the one hour response times to referrals made to psychiatric Liaison in A&E without adding or changing available resources. METHOD: Response time data of referrals made to the Homerton University Hospital psychiatric liaison service was collected dating back from August 2016 to October 2019 (n = 10225). A nudge was introduced in the form of a large display showing referrals arriving in real time in the staff office. Data was then collected over a period of 5 weeks (n = 436) to measure if any change had occurred in response times. RESULT: Response times appear to follow a Poisson like distribution curve. The average referral was responded to within 6 minutes (n = 1577) prior to the nudge, and 6 minutes (n = 88) after. Prior to the nudge the 95% referral envelope fell within 134 minutes (n = 9728) and was 122 minutes (n = 414) after the intervention. Significant statistical difference is observed upon considering response in the first 240 minutes. CONCLUSION: Nudge interventions could be a useful resource-sparing method to improve services. The average referral to the HUH liaison team was quickly responded to within 6 minutes and yet hitting the 1 hour 95% target appears ever-elusive. Hitting targets of 95% responses within 1 hour may prove very difficult if we are not considering natural distributions, such as Poisson, occuring in the backgroung which ultimately may require a change in approaches to how we set performance targets. |
format | Online Article Text |
id | pubmed-8770456 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Cambridge University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-87704562022-01-31 Why is hitting A&E time targets so hard?: using Nudge theory and modelling to improve response times Svedberg, Kaj BJPsych Open Quality Improvement AIMS: To improve the one hour response times to referrals made to psychiatric Liaison in A&E without adding or changing available resources. METHOD: Response time data of referrals made to the Homerton University Hospital psychiatric liaison service was collected dating back from August 2016 to October 2019 (n = 10225). A nudge was introduced in the form of a large display showing referrals arriving in real time in the staff office. Data was then collected over a period of 5 weeks (n = 436) to measure if any change had occurred in response times. RESULT: Response times appear to follow a Poisson like distribution curve. The average referral was responded to within 6 minutes (n = 1577) prior to the nudge, and 6 minutes (n = 88) after. Prior to the nudge the 95% referral envelope fell within 134 minutes (n = 9728) and was 122 minutes (n = 414) after the intervention. Significant statistical difference is observed upon considering response in the first 240 minutes. CONCLUSION: Nudge interventions could be a useful resource-sparing method to improve services. The average referral to the HUH liaison team was quickly responded to within 6 minutes and yet hitting the 1 hour 95% target appears ever-elusive. Hitting targets of 95% responses within 1 hour may prove very difficult if we are not considering natural distributions, such as Poisson, occuring in the backgroung which ultimately may require a change in approaches to how we set performance targets. Cambridge University Press 2021-06-18 /pmc/articles/PMC8770456/ http://dx.doi.org/10.1192/bjo.2021.595 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Quality Improvement Svedberg, Kaj Why is hitting A&E time targets so hard?: using Nudge theory and modelling to improve response times |
title | Why is hitting A&E time targets so hard?: using Nudge theory and modelling to improve response times |
title_full | Why is hitting A&E time targets so hard?: using Nudge theory and modelling to improve response times |
title_fullStr | Why is hitting A&E time targets so hard?: using Nudge theory and modelling to improve response times |
title_full_unstemmed | Why is hitting A&E time targets so hard?: using Nudge theory and modelling to improve response times |
title_short | Why is hitting A&E time targets so hard?: using Nudge theory and modelling to improve response times |
title_sort | why is hitting a&e time targets so hard?: using nudge theory and modelling to improve response times |
topic | Quality Improvement |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8770456/ http://dx.doi.org/10.1192/bjo.2021.595 |
work_keys_str_mv | AT svedbergkaj whyishittingaetimetargetssohardusingnudgetheoryandmodellingtoimproveresponsetimes |