Cargando…

An innovative model of access and triage to reduce waiting in an outpatient epilepsy clinic: an intervention study

BACKGROUND: Delayed access to outpatient care may negatively impact on health outcomes. We aimed to evaluate implementation of the Specific Timely Appointments for Triage (STAT) model of access in an epilepsy clinic to reduce a long waitlist and waiting time. METHODS: This study is an intervention s...

Descripción completa

Detalles Bibliográficos
Autores principales: Lewis, Annie K., Taylor, Nicholas F., Carney, Patrick W., Li, Xia, Harding, Katherine E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10470140/
https://www.ncbi.nlm.nih.gov/pubmed/37653409
http://dx.doi.org/10.1186/s12913-023-09845-2
_version_ 1785099620647436288
author Lewis, Annie K.
Taylor, Nicholas F.
Carney, Patrick W.
Li, Xia
Harding, Katherine E.
author_facet Lewis, Annie K.
Taylor, Nicholas F.
Carney, Patrick W.
Li, Xia
Harding, Katherine E.
author_sort Lewis, Annie K.
collection PubMed
description BACKGROUND: Delayed access to outpatient care may negatively impact on health outcomes. We aimed to evaluate implementation of the Specific Timely Appointments for Triage (STAT) model of access in an epilepsy clinic to reduce a long waitlist and waiting time. METHODS: This study is an intervention study using pre-post comparison and an interrupted time series analysis to measure the effect of implementation of the STAT model to an epilepsy clinic. Data were collected over 28 months to observe the number of patients on the waitlist and the waiting time over three time periods: 12 months prior to implementation of STAT, ten months during implementation and six months post-intervention. STAT combines one-off backlog reduction with responsive scheduling that protects time for new appointments based on historical data. The primary outcomes were the number of patients on the waitlist and the waiting time across the three time periods. Secondary outcomes evaluated pre- and post-intervention changes in number of appointments offered weekly, non-arrival and discharge rates. RESULTS: A total of 938 patients were offered a first appointment over the study period. The long waitlist was almost eliminated, reducing from 616 during the pre-intervention period to 11 post-intervention (p = 0.002), but the hypothesis that waiting time would decrease was not supported. The interrupted time series analysis indicated a temporary increase in waiting time during the implementation period but no significant change in slope or level in the post- compared to the pre-intervention period. Direct comparison of the cohort of patients seen in the pre- and post-intervention periods suggested an increase in median waiting time following the intervention (34 [IQR 25–86] to 46 [IQR 36–61] days (p = 0.001)), but the interquartile range reduced indicating less variability in days waited and more timely access for the longest waiters. CONCLUSIONS: The STAT model was implemented in a specialist epilepsy outpatient clinic and reduced a large waitlist. Reductions in the waitlist were achieved with little or no increase in waiting time. The STAT model provides a framework for an alternative way to operate outpatient clinics that can help to ensure that all people referred are offered an appointment in a timely manner.
format Online
Article
Text
id pubmed-10470140
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-104701402023-09-01 An innovative model of access and triage to reduce waiting in an outpatient epilepsy clinic: an intervention study Lewis, Annie K. Taylor, Nicholas F. Carney, Patrick W. Li, Xia Harding, Katherine E. BMC Health Serv Res Research BACKGROUND: Delayed access to outpatient care may negatively impact on health outcomes. We aimed to evaluate implementation of the Specific Timely Appointments for Triage (STAT) model of access in an epilepsy clinic to reduce a long waitlist and waiting time. METHODS: This study is an intervention study using pre-post comparison and an interrupted time series analysis to measure the effect of implementation of the STAT model to an epilepsy clinic. Data were collected over 28 months to observe the number of patients on the waitlist and the waiting time over three time periods: 12 months prior to implementation of STAT, ten months during implementation and six months post-intervention. STAT combines one-off backlog reduction with responsive scheduling that protects time for new appointments based on historical data. The primary outcomes were the number of patients on the waitlist and the waiting time across the three time periods. Secondary outcomes evaluated pre- and post-intervention changes in number of appointments offered weekly, non-arrival and discharge rates. RESULTS: A total of 938 patients were offered a first appointment over the study period. The long waitlist was almost eliminated, reducing from 616 during the pre-intervention period to 11 post-intervention (p = 0.002), but the hypothesis that waiting time would decrease was not supported. The interrupted time series analysis indicated a temporary increase in waiting time during the implementation period but no significant change in slope or level in the post- compared to the pre-intervention period. Direct comparison of the cohort of patients seen in the pre- and post-intervention periods suggested an increase in median waiting time following the intervention (34 [IQR 25–86] to 46 [IQR 36–61] days (p = 0.001)), but the interquartile range reduced indicating less variability in days waited and more timely access for the longest waiters. CONCLUSIONS: The STAT model was implemented in a specialist epilepsy outpatient clinic and reduced a large waitlist. Reductions in the waitlist were achieved with little or no increase in waiting time. The STAT model provides a framework for an alternative way to operate outpatient clinics that can help to ensure that all people referred are offered an appointment in a timely manner. BioMed Central 2023-08-31 /pmc/articles/PMC10470140/ /pubmed/37653409 http://dx.doi.org/10.1186/s12913-023-09845-2 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Lewis, Annie K.
Taylor, Nicholas F.
Carney, Patrick W.
Li, Xia
Harding, Katherine E.
An innovative model of access and triage to reduce waiting in an outpatient epilepsy clinic: an intervention study
title An innovative model of access and triage to reduce waiting in an outpatient epilepsy clinic: an intervention study
title_full An innovative model of access and triage to reduce waiting in an outpatient epilepsy clinic: an intervention study
title_fullStr An innovative model of access and triage to reduce waiting in an outpatient epilepsy clinic: an intervention study
title_full_unstemmed An innovative model of access and triage to reduce waiting in an outpatient epilepsy clinic: an intervention study
title_short An innovative model of access and triage to reduce waiting in an outpatient epilepsy clinic: an intervention study
title_sort innovative model of access and triage to reduce waiting in an outpatient epilepsy clinic: an intervention study
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10470140/
https://www.ncbi.nlm.nih.gov/pubmed/37653409
http://dx.doi.org/10.1186/s12913-023-09845-2
work_keys_str_mv AT lewisanniek aninnovativemodelofaccessandtriagetoreducewaitinginanoutpatientepilepsyclinicaninterventionstudy
AT taylornicholasf aninnovativemodelofaccessandtriagetoreducewaitinginanoutpatientepilepsyclinicaninterventionstudy
AT carneypatrickw aninnovativemodelofaccessandtriagetoreducewaitinginanoutpatientepilepsyclinicaninterventionstudy
AT lixia aninnovativemodelofaccessandtriagetoreducewaitinginanoutpatientepilepsyclinicaninterventionstudy
AT hardingkatherinee aninnovativemodelofaccessandtriagetoreducewaitinginanoutpatientepilepsyclinicaninterventionstudy
AT lewisanniek innovativemodelofaccessandtriagetoreducewaitinginanoutpatientepilepsyclinicaninterventionstudy
AT taylornicholasf innovativemodelofaccessandtriagetoreducewaitinginanoutpatientepilepsyclinicaninterventionstudy
AT carneypatrickw innovativemodelofaccessandtriagetoreducewaitinginanoutpatientepilepsyclinicaninterventionstudy
AT lixia innovativemodelofaccessandtriagetoreducewaitinginanoutpatientepilepsyclinicaninterventionstudy
AT hardingkatherinee innovativemodelofaccessandtriagetoreducewaitinginanoutpatientepilepsyclinicaninterventionstudy