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

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

Abstract read

In one paragraph

Article in Health systems (Basingstoke, England), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed

–field-weighted citation impact

1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

Data in ambulatory care logistics: What modelers need and what practice can offer.Health care management science · 2025
Article

4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Fulvio D LopaneCentre for Advanced Spatial Analysis, University College London, London, UK.ORCID https://orcid.org/0000-0002-9364-3982

Melanie Reuter-OppermannInformation Systems group, Department of Law and Economics, Technical University of Darmstadt, Darmstadt, Germany.ORCID https://orcid.org/0000-0003-2231-7749

Andrea RaithEngineering Science, Faculty of Engineering, University of Auckland, New Zealand.ORCID https://orcid.org/0000-0002-0417-2972

Daniel J ExeterEpidemiology and Biostatistics, Faculty of Medical and Health Sciences, University of Auckland, New Zealand.ORCID https://orcid.org/0000-0003-1061-5925

Ilze ZiedinsStatistics, Faculty of Science, University of Auckland, New Zealand.ORCID https://orcid.org/0000-0001-7615-4418

Richard DawsonSchool of Engineering, Newcastle University, Newcastle upon Tyne, UK.ORCID https://orcid.org/0000-0003-3158-5868

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

decision supportGeneral practitionersNew Zealandspatial optimisation

Identifiers

PMID37860596

DOI10.1080/20476965.2023.2174454

PMCPMC10583631

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.