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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...

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Autores principales: Simpson-Yap, Steve, Frascoli, Federico, Harrison, Lucinda, Malpas, Charles, Burrell, James, Child, Nicholas, Giles, Lauren P, Lueck, Christian, Needham, Merrilee, Tsang, Benjamin, Kalincik, Tomas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2023
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.
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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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