A genetic algorithm-based strategic planning framework for optimising accessibility and costs of general practices in Northland, New Zealand.
General practitioners
New Zealand
decision support
spatial optimisation
Journal
Health systems (Basingstoke, England)
ISSN: 2047-6965
Titre abrégé: Health Syst (Basingstoke)
Pays: England
ID NLM: 101602681
Informations de publication
Date de publication:
2023
2023
Historique:
pmc-release:
16
02
2024
medline:
20
10
2023
pubmed:
20
10
2023
entrez:
20
10
2023
Statut:
epublish
Résumé
Shortage of general practitioners (GP) is a challenge worldwide, not only in Europe, but also in countries like New Zealand. Providing primary care in rural areas is especially challenging. In order to support decision makers, it is necessary to first assess the current GP coverage and then to determine different scenarios and plans for the future. In this paper, we first present a thorough overview of related literature on locating GP practices. Second, we propose an approach for assessing the GP coverage and determining future GP locations based on a genetic algorithm framework. As a use case, we have chosen the rural New Zealand region of Northland. We also perform a sensitivity analysis for the main input parameters.
Identifiants
pubmed: 37860596
doi: 10.1080/20476965.2023.2174454
pii: 2174454
pmc: PMC10583631
doi:
Types de publication
Journal Article
Langues
eng
Pagination
332-356Informations de copyright
© 2023 The Operational Research Society.
Déclaration de conflit d'intérêts
No potential conflict of interest was reported by the authors.
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