Cargando…

Sustainable waiting time reductions after introducing the STAT model for access and triage: 12-month follow up of a stepped wedge cluster randomised controlled trial

BACKGROUND: Timely access is a challenge for providers of outpatient and community-based health services, as seen by the often lengthy waiting lists to manage demand. The Specific Timely Appointments for Triage (STAT) model, an alternative approach for managing access and triage, reduced waiting tim...

Descripción completa

Detalles Bibliográficos
Autores principales: Harding, Katherine E., Snowdon, David A., Prendergast, Luke, Lewis, Annie K., Kent, Bridie, Leggat, Sandy F., Taylor, Nicholas F.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7579912/
https://www.ncbi.nlm.nih.gov/pubmed/33087110
http://dx.doi.org/10.1186/s12913-020-05824-z
_version_ 1783598689899511808
author Harding, Katherine E.
Snowdon, David A.
Prendergast, Luke
Lewis, Annie K.
Kent, Bridie
Leggat, Sandy F.
Taylor, Nicholas F.
author_facet Harding, Katherine E.
Snowdon, David A.
Prendergast, Luke
Lewis, Annie K.
Kent, Bridie
Leggat, Sandy F.
Taylor, Nicholas F.
author_sort Harding, Katherine E.
collection PubMed
description BACKGROUND: Timely access is a challenge for providers of outpatient and community-based health services, as seen by the often lengthy waiting lists to manage demand. The Specific Timely Appointments for Triage (STAT) model, an alternative approach for managing access and triage, reduced waiting time by 34% in a stepped wedge cluster randomised controlled trial involving 8 services and more than 3000 participants. Follow up periods ranged from 3 to 10 months across the participating services in accordance with the stepped wedge design. This study aimed to determine whether outcomes were sustained for a full 12 months after implementation of the STAT model at each site. METHODS: Routinely collected service data were obtained for a total of 12 months following implementation of the STAT model at each of the 8 services that participated in a stepped wedge cluster randomised controlled trial. The primary outcome was time to first appointment. Secondary outcomes included non-attendance rates, time to second appointment and service use over 12 weeks. Outcomes were compared to pre-intervention data from the original trial, modelled using generalised linear mixed effects models accounting for clustering of sites. RESULTS: A 29% reduction in waiting time could be attributed to STAT over 12 months, compared to 34% in the original trial. A reduction in variability in waiting time was sustained. There were no significant changes in time to second appointment or in the number of missed appointments in the extended follow up period. CONCLUSIONS: STAT is an effective strategy for reducing waiting time in community-based outpatient services. At 12 months, small reductions in the overall effect are apparent, but reductions in variability are sustained, suggesting that people who previously waited the longest benefit most from the STAT model. TRIAL REGISTRATION: This is a 12-month follow up of a stepped wedge cluster randomised controlled trial that was registered with the Australia and New Zealand Clinical Trials Registry (ACTRN12615001016527).
format Online
Article
Text
id pubmed-7579912
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-75799122020-10-22 Sustainable waiting time reductions after introducing the STAT model for access and triage: 12-month follow up of a stepped wedge cluster randomised controlled trial Harding, Katherine E. Snowdon, David A. Prendergast, Luke Lewis, Annie K. Kent, Bridie Leggat, Sandy F. Taylor, Nicholas F. BMC Health Serv Res Research Article BACKGROUND: Timely access is a challenge for providers of outpatient and community-based health services, as seen by the often lengthy waiting lists to manage demand. The Specific Timely Appointments for Triage (STAT) model, an alternative approach for managing access and triage, reduced waiting time by 34% in a stepped wedge cluster randomised controlled trial involving 8 services and more than 3000 participants. Follow up periods ranged from 3 to 10 months across the participating services in accordance with the stepped wedge design. This study aimed to determine whether outcomes were sustained for a full 12 months after implementation of the STAT model at each site. METHODS: Routinely collected service data were obtained for a total of 12 months following implementation of the STAT model at each of the 8 services that participated in a stepped wedge cluster randomised controlled trial. The primary outcome was time to first appointment. Secondary outcomes included non-attendance rates, time to second appointment and service use over 12 weeks. Outcomes were compared to pre-intervention data from the original trial, modelled using generalised linear mixed effects models accounting for clustering of sites. RESULTS: A 29% reduction in waiting time could be attributed to STAT over 12 months, compared to 34% in the original trial. A reduction in variability in waiting time was sustained. There were no significant changes in time to second appointment or in the number of missed appointments in the extended follow up period. CONCLUSIONS: STAT is an effective strategy for reducing waiting time in community-based outpatient services. At 12 months, small reductions in the overall effect are apparent, but reductions in variability are sustained, suggesting that people who previously waited the longest benefit most from the STAT model. TRIAL REGISTRATION: This is a 12-month follow up of a stepped wedge cluster randomised controlled trial that was registered with the Australia and New Zealand Clinical Trials Registry (ACTRN12615001016527). BioMed Central 2020-10-21 /pmc/articles/PMC7579912/ /pubmed/33087110 http://dx.doi.org/10.1186/s12913-020-05824-z Text en © The Author(s) 2020 Open AccessThis 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/. 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 in a credit line to the data.
spellingShingle Research Article
Harding, Katherine E.
Snowdon, David A.
Prendergast, Luke
Lewis, Annie K.
Kent, Bridie
Leggat, Sandy F.
Taylor, Nicholas F.
Sustainable waiting time reductions after introducing the STAT model for access and triage: 12-month follow up of a stepped wedge cluster randomised controlled trial
title Sustainable waiting time reductions after introducing the STAT model for access and triage: 12-month follow up of a stepped wedge cluster randomised controlled trial
title_full Sustainable waiting time reductions after introducing the STAT model for access and triage: 12-month follow up of a stepped wedge cluster randomised controlled trial
title_fullStr Sustainable waiting time reductions after introducing the STAT model for access and triage: 12-month follow up of a stepped wedge cluster randomised controlled trial
title_full_unstemmed Sustainable waiting time reductions after introducing the STAT model for access and triage: 12-month follow up of a stepped wedge cluster randomised controlled trial
title_short Sustainable waiting time reductions after introducing the STAT model for access and triage: 12-month follow up of a stepped wedge cluster randomised controlled trial
title_sort sustainable waiting time reductions after introducing the stat model for access and triage: 12-month follow up of a stepped wedge cluster randomised controlled trial
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7579912/
https://www.ncbi.nlm.nih.gov/pubmed/33087110
http://dx.doi.org/10.1186/s12913-020-05824-z
work_keys_str_mv AT hardingkatherinee sustainablewaitingtimereductionsafterintroducingthestatmodelforaccessandtriage12monthfollowupofasteppedwedgeclusterrandomisedcontrolledtrial
AT snowdondavida sustainablewaitingtimereductionsafterintroducingthestatmodelforaccessandtriage12monthfollowupofasteppedwedgeclusterrandomisedcontrolledtrial
AT prendergastluke sustainablewaitingtimereductionsafterintroducingthestatmodelforaccessandtriage12monthfollowupofasteppedwedgeclusterrandomisedcontrolledtrial
AT lewisanniek sustainablewaitingtimereductionsafterintroducingthestatmodelforaccessandtriage12monthfollowupofasteppedwedgeclusterrandomisedcontrolledtrial
AT kentbridie sustainablewaitingtimereductionsafterintroducingthestatmodelforaccessandtriage12monthfollowupofasteppedwedgeclusterrandomisedcontrolledtrial
AT leggatsandyf sustainablewaitingtimereductionsafterintroducingthestatmodelforaccessandtriage12monthfollowupofasteppedwedgeclusterrandomisedcontrolledtrial
AT taylornicholasf sustainablewaitingtimereductionsafterintroducingthestatmodelforaccessandtriage12monthfollowupofasteppedwedgeclusterrandomisedcontrolledtrial