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Modelling accessibility of adult neurology care in Australia, 2020–2034
INTRODUCTION: In 2015/2016, annual national expenditure on neurological conditions exceeded $A3 billion. However, a comprehensive study of the Australian neurological workforce and supply/demand dynamics has not previously been undertaken. METHODS: Current neurological workforce was defined using ne...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10151858/ https://www.ncbi.nlm.nih.gov/pubmed/37144009 http://dx.doi.org/10.1136/bmjno-2023-000407 |
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author | Simpson-Yap, Steve Frascoli, Federico Harrison, Lucinda Malpas, Charles Burrell, James Child, Nicholas Giles, Lauren P Lueck, Christian Needham, Merrilee Tsang, Benjamin Kalincik, Tomas |
author_facet | Simpson-Yap, Steve Frascoli, Federico Harrison, Lucinda Malpas, Charles Burrell, James Child, Nicholas Giles, Lauren P Lueck, Christian Needham, Merrilee Tsang, Benjamin Kalincik, Tomas |
author_sort | Simpson-Yap, Steve |
collection | PubMed |
description | INTRODUCTION: In 2015/2016, annual national expenditure on neurological conditions exceeded $A3 billion. However, a comprehensive study of the Australian neurological workforce and supply/demand dynamics has not previously been undertaken. METHODS: Current neurological workforce was defined using neurologist survey and other sources. Workforce supply modelling used ordinary differential equations to simulate neurologist influx and attrition. Demand for neurology care was estimated by reference to literature regarding incidence and prevalence of selected conditions. Differences in supply versus demand for neurological workforce were calculated. Potential interventions to increase workforce were simulated and effects on supply versus demand estimated. RESULTS: Modelling of the workforce from 2020 to 2034 predicted an increase in neurologist number from 620 to 896. We estimated a 2034 capacity of 638 024 Initial and 1 269 112 Review encounters annually, and deficits against demand estimated as 197 137 and 881 755, respectively. These deficits were proportionately greater in regional Australia, which has 31% of Australia’s population (Australian Bureau of Statistics) but is served by only 4.1% of its neurologists as determined by our 2020 survey of Australia and New Zealand Association of Neurologists members. Nationally, simulated additions to the neurology workforce had some effect on the review encounter supply deficit (37.4%), but in Regional Australia, this impact was only 17.2%. INTERPRETATION: Modelling of the neurologist workforce in Australia for 2020–2034 demonstrates a significant shortfall of supply relative to current and projected demand. Interventions to increase neurologist workforce may attenuate this shortfall but will not eliminate it. Thus, additional interventions are needed, including improved efficiency and additional use of support staff. |
format | Online Article Text |
id | pubmed-10151858 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-101518582023-05-03 Modelling accessibility of adult neurology care in Australia, 2020–2034 Simpson-Yap, Steve Frascoli, Federico Harrison, Lucinda Malpas, Charles Burrell, James Child, Nicholas Giles, Lauren P Lueck, Christian Needham, Merrilee Tsang, Benjamin Kalincik, Tomas BMJ Neurol Open Original Research INTRODUCTION: In 2015/2016, annual national expenditure on neurological conditions exceeded $A3 billion. However, a comprehensive study of the Australian neurological workforce and supply/demand dynamics has not previously been undertaken. METHODS: Current neurological workforce was defined using neurologist survey and other sources. Workforce supply modelling used ordinary differential equations to simulate neurologist influx and attrition. Demand for neurology care was estimated by reference to literature regarding incidence and prevalence of selected conditions. Differences in supply versus demand for neurological workforce were calculated. Potential interventions to increase workforce were simulated and effects on supply versus demand estimated. RESULTS: Modelling of the workforce from 2020 to 2034 predicted an increase in neurologist number from 620 to 896. We estimated a 2034 capacity of 638 024 Initial and 1 269 112 Review encounters annually, and deficits against demand estimated as 197 137 and 881 755, respectively. These deficits were proportionately greater in regional Australia, which has 31% of Australia’s population (Australian Bureau of Statistics) but is served by only 4.1% of its neurologists as determined by our 2020 survey of Australia and New Zealand Association of Neurologists members. Nationally, simulated additions to the neurology workforce had some effect on the review encounter supply deficit (37.4%), but in Regional Australia, this impact was only 17.2%. INTERPRETATION: Modelling of the neurologist workforce in Australia for 2020–2034 demonstrates a significant shortfall of supply relative to current and projected demand. Interventions to increase neurologist workforce may attenuate this shortfall but will not eliminate it. Thus, additional interventions are needed, including improved efficiency and additional use of support staff. BMJ Publishing Group 2023-04-27 /pmc/articles/PMC10151858/ /pubmed/37144009 http://dx.doi.org/10.1136/bmjno-2023-000407 Text en © Author(s) (or their employer(s)) 2023. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. https://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) . |
spellingShingle | Original Research Simpson-Yap, Steve Frascoli, Federico Harrison, Lucinda Malpas, Charles Burrell, James Child, Nicholas Giles, Lauren P Lueck, Christian Needham, Merrilee Tsang, Benjamin Kalincik, Tomas Modelling accessibility of adult neurology care in Australia, 2020–2034 |
title | Modelling accessibility of adult neurology care in Australia, 2020–2034 |
title_full | Modelling accessibility of adult neurology care in Australia, 2020–2034 |
title_fullStr | Modelling accessibility of adult neurology care in Australia, 2020–2034 |
title_full_unstemmed | Modelling accessibility of adult neurology care in Australia, 2020–2034 |
title_short | Modelling accessibility of adult neurology care in Australia, 2020–2034 |
title_sort | modelling accessibility of adult neurology care in australia, 2020–2034 |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10151858/ https://www.ncbi.nlm.nih.gov/pubmed/37144009 http://dx.doi.org/10.1136/bmjno-2023-000407 |
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