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

Author

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  • Fulvio D. Lopane
  • Melanie Reuter-Oppermann
  • Andrea Raith
  • Daniel J Exeter
  • Ilze Ziedins
  • Richard Dawson

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.

Suggested Citation

  • Fulvio D. Lopane & Melanie Reuter-Oppermann & Andrea Raith & Daniel J Exeter & Ilze Ziedins & Richard Dawson, 2023. "A genetic algorithm-based strategic planning framework for optimising accessibility and costs of general practices in Northland, New Zealand," Health Systems, Taylor & Francis Journals, vol. 12(3), pages 332-356, July.
    • Handle: RePEc:taf:thssxx:v:12:y:2023:i:3:p:332-356
    DOI: 10.1080/20476965.2023.2174454
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