Modelling accessibility of adult neurology care in Australia, 2020-2034.

epidemiology neuroepidemiology statistics

Journal

BMJ neurology open
ISSN: 2632-6140
Titre abrégé: BMJ Neurol Open
Pays: England
ID NLM: 101775450

Informations de publication

Date de publication:
2023
Historique:
received: 10 01 2023
accepted: 26 02 2023
medline: 5 5 2023
pubmed: 5 5 2023
entrez: 5 5 2023
Statut: epublish

Résumé

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. 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. Modelling of the workforce from 2020 to 2034 predicted an increase in neurologist number from 620 to 89. 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%. 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.

Identifiants

pubmed: 37144009
doi: 10.1136/bmjno-2023-000407
pii: bmjno-2023-000407
pmc: PMC10151858
doi:

Types de publication

Journal Article

Langues

eng

Pagination

e000407

Commentaires et corrections

Type : ErratumIn

Informations de copyright

© 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.

Déclaration de conflit d'intérêts

Competing interests: CM has received conference travel support and/or speaker fees from Merck, Novartis and Biogen. He has received research support from the National Health and Medical Research Council, Multiple Sclerosis Research Australia, The University of Melbourne, The Royal Melbourne Hospital Neuroscience Foundation, and Dementia Australia. MN: I have received honoraria and consultancy fees from Abcuro, Sanofi-Genyzme, Roche, Biogen and CSL-BehringTomas Kalincik has served on scientific advisory boards for Roche, Sanofi-Genzyme, Novartis, Merck and Biogen, steering committee for Brain Atrophy Initiative by Sanofi-Genzyme, received conference travel support and/or speaker honoraria from WebMD Global, Novartis, Biogen, Sanofi-Genzyme, Teva, BioCSL and Merck and received research support from Biogen. Other authors have no conflicts of interest to report.

Références

Brain. 2000 Apr;123 ( Pt 4):665-76
pubmed: 10733998
PM R. 2022 Nov;14(11):1382-1387
pubmed: 35322552
Neurology. 1982 Nov;32(11):1207-14
pubmed: 6890153
Health Care Manag Sci. 2018 Mar;21(1):52-75
pubmed: 27592211
Neurology. 2013 Jul 30;81(5):470-8
pubmed: 23596071
Neurology. 2000 Feb 22;54(4):787-9
pubmed: 10690963
Hum Resour Health. 2022 Apr 18;20(1):34
pubmed: 35436946
Phys Ther. 2016 Jan;96(1):71-80
pubmed: 26472298
N Z Med J. 2015 Aug 07;128(1419):35-44
pubmed: 26365844
N Z Med J. 2008 Jun 06;121(1275):11-8
pubmed: 18551149

Auteurs

Steve Simpson-Yap (S)

CORe, Department of Medicine, The University of Melbourne, Melbourne, Victoria, Australia.
Neuroepidemiology Unit, Melbourne School of Population & Global Health, The University of Melbourne, Carlton, VIC, Australia.
Menzies Institute for Medical Research, University of Tasmania, Hobart, TAS, Australia.

Federico Frascoli (F)

Department of Mathematics Computing, and Engineering Technologies, Swinburne University of Technology, Hawthorn, Victoria, Australia.

Lucinda Harrison (L)

CORe, Department of Medicine, The University of Melbourne, Melbourne, Victoria, Australia.

Charles Malpas (C)

CORe, Department of Medicine, The University of Melbourne, Melbourne, Victoria, Australia.
Neuroimmunology Centre, Department of Neurology, The Royal Melbourne Hospital, Parkville, Victoria, Australia.

James Burrell (J)

Concord Clinical School, Faculty of Medicine and Health, The University of Sydney, Sydney, New South Wales, Australia.

Nicholas Child (N)

Neurology North Shore, Auckland, New Zealand.

Lauren P Giles (LP)

Department of Neurology, Launceston General Hospital, Launceston, Tasmania, Australia.

Christian Lueck (C)

School of Medicine and Psychology, Australian National University, Canberra, Australian Capital Territory, Australia.

Merrilee Needham (M)

Centre for Neuromuscular and Neurological Disorders, Perron Institute for Neurological and Translational Science, University of Western Australia, Nedlands, Western Australia, Australia.

Benjamin Tsang (B)

Neurology, Sunshine Coast University Hospital, Sunshine Coast, Queensland, Australia.

Tomas Kalincik (T)

CORe, Department of Medicine, The University of Melbourne, Melbourne, Victoria, Australia.
Neuroimmunology Centre, Department of Neurology, The Royal Melbourne Hospital, Parkville, Victoria, Australia.

Classifications MeSH