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A genetic algorithm-based strategic planning framework for optimising accessibility and costs of general practices in Northland, New Zealand

Lopane, FD; Reuter-Oppermann, M; Raith, A; Exeter, DJ; Ziedins, I; Dawson, R; (2023) A genetic algorithm-based strategic planning framework for optimising accessibility and costs of general practices in Northland, New Zealand. Health Systems , 12 (3) pp. 332-356. 10.1080/20476965.2023.2174454. Green open access

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Abstract

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.

Type: Article
Title: A genetic algorithm-based strategic planning framework for optimising accessibility and costs of general practices in Northland, New Zealand
Open access status: An open access version is available from UCL Discovery
DOI: 10.1080/20476965.2023.2174454
Publisher version: https://doi.org/10.1080/20476965.2023.2174454
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
Keywords: General practitioners, spatial optimisation, New Zealand, decision support
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of the Built Environment
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of the Built Environment > Centre for Advanced Spatial Analysis
URI: https://discovery.ucl.ac.uk/id/eprint/10166496
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