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The use of modelling studies to inform planning of health services: case study of rapidly increasing endoscopy services in Australia

BACKGROUND: Demand for gastrointestinal endoscopy in Australia is increasing as a result of the expanding national bowel cancer screening program and a growing, ageing population. More services are required to meet demand and ensure patients are seen within clinically recommended timeframes. METHODS...

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Autores principales: Carter, Hannah E., Knowles, Dylan, Moroney, Timothy, Holtmann, Gerald, Rahman, Tony, Appleyard, Mark, Steele, Nick, Zanco, Michael, Graves, Nicholas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6716875/
https://www.ncbi.nlm.nih.gov/pubmed/31464609
http://dx.doi.org/10.1186/s12913-019-4438-x
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author Carter, Hannah E.
Knowles, Dylan
Moroney, Timothy
Holtmann, Gerald
Rahman, Tony
Appleyard, Mark
Steele, Nick
Zanco, Michael
Graves, Nicholas
author_facet Carter, Hannah E.
Knowles, Dylan
Moroney, Timothy
Holtmann, Gerald
Rahman, Tony
Appleyard, Mark
Steele, Nick
Zanco, Michael
Graves, Nicholas
author_sort Carter, Hannah E.
collection PubMed
description BACKGROUND: Demand for gastrointestinal endoscopy in Australia is increasing as a result of the expanding national bowel cancer screening program and a growing, ageing population. More services are required to meet demand and ensure patients are seen within clinically recommended timeframes. METHODS: A discrete event simulation model was developed to project endoscopy waiting list outcomes for two large metropolitan health services encompassing 8 public hospitals in Australia. The model applied routinely collected health service data to forecast the impacts of future endoscopic demand over 5 years and to identify the level of service activity required to address patient waiting times and meet key policy targets. The approach incorporated evidence from the literature to produce estimates of cost-effectiveness by showing longer term costs and Quality Adjusted Life Years (QALYs) associated with service expansion. RESULTS: The modelling revealed that doing nothing would lead to the number of patients waiting longer than clinically recommended doubling across each health service within 5 years. A 38% overall increase in the number of monthly procedures available was required to meet and maintain a target of 95–98% of patients being seen within clinically recommended timeframes to the year 2021. This was projected to cost the funder approximately $140 million in additional activity over a 5 year period. Due to improved patient outcomes associated with timely intervention, it was estimated that the increased activity would generate over 22,000 additional QALYs across the two health services. This translated to an incremental cost-effectiveness ratio of $6467 and $5974 per QALY for each health service respectively. CONCLUSIONS: Discrete event simulation modelling provided a rational, data based approach that allowed decision makers to quantify the future demand for endoscopy services and identify cost-effective strategies to meet community needs. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12913-019-4438-x) contains supplementary material, which is available to authorized users.
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spelling pubmed-67168752019-09-04 The use of modelling studies to inform planning of health services: case study of rapidly increasing endoscopy services in Australia Carter, Hannah E. Knowles, Dylan Moroney, Timothy Holtmann, Gerald Rahman, Tony Appleyard, Mark Steele, Nick Zanco, Michael Graves, Nicholas BMC Health Serv Res Research Article BACKGROUND: Demand for gastrointestinal endoscopy in Australia is increasing as a result of the expanding national bowel cancer screening program and a growing, ageing population. More services are required to meet demand and ensure patients are seen within clinically recommended timeframes. METHODS: A discrete event simulation model was developed to project endoscopy waiting list outcomes for two large metropolitan health services encompassing 8 public hospitals in Australia. The model applied routinely collected health service data to forecast the impacts of future endoscopic demand over 5 years and to identify the level of service activity required to address patient waiting times and meet key policy targets. The approach incorporated evidence from the literature to produce estimates of cost-effectiveness by showing longer term costs and Quality Adjusted Life Years (QALYs) associated with service expansion. RESULTS: The modelling revealed that doing nothing would lead to the number of patients waiting longer than clinically recommended doubling across each health service within 5 years. A 38% overall increase in the number of monthly procedures available was required to meet and maintain a target of 95–98% of patients being seen within clinically recommended timeframes to the year 2021. This was projected to cost the funder approximately $140 million in additional activity over a 5 year period. Due to improved patient outcomes associated with timely intervention, it was estimated that the increased activity would generate over 22,000 additional QALYs across the two health services. This translated to an incremental cost-effectiveness ratio of $6467 and $5974 per QALY for each health service respectively. CONCLUSIONS: Discrete event simulation modelling provided a rational, data based approach that allowed decision makers to quantify the future demand for endoscopy services and identify cost-effective strategies to meet community needs. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12913-019-4438-x) contains supplementary material, which is available to authorized users. BioMed Central 2019-08-29 /pmc/articles/PMC6716875/ /pubmed/31464609 http://dx.doi.org/10.1186/s12913-019-4438-x Text en © The Author(s). 2019 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
Carter, Hannah E.
Knowles, Dylan
Moroney, Timothy
Holtmann, Gerald
Rahman, Tony
Appleyard, Mark
Steele, Nick
Zanco, Michael
Graves, Nicholas
The use of modelling studies to inform planning of health services: case study of rapidly increasing endoscopy services in Australia
title The use of modelling studies to inform planning of health services: case study of rapidly increasing endoscopy services in Australia
title_full The use of modelling studies to inform planning of health services: case study of rapidly increasing endoscopy services in Australia
title_fullStr The use of modelling studies to inform planning of health services: case study of rapidly increasing endoscopy services in Australia
title_full_unstemmed The use of modelling studies to inform planning of health services: case study of rapidly increasing endoscopy services in Australia
title_short The use of modelling studies to inform planning of health services: case study of rapidly increasing endoscopy services in Australia
title_sort use of modelling studies to inform planning of health services: case study of rapidly increasing endoscopy services in australia
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6716875/
https://www.ncbi.nlm.nih.gov/pubmed/31464609
http://dx.doi.org/10.1186/s12913-019-4438-x
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