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Discovering and comparing types of general practitioner practices using geolocational features and prescribing behaviours by means of K-means clustering

Traditionally General Practitioner (GP) practices have been labelled as being in Rural, Urban or Semi-Rural areas with no statistical method of identifying which practices fall into each category. The main aim of this study is to investigate whether location and other characteristics can provide a t...

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Autores principales: Booth, Frederick G., R Bond, Raymond, D Mulvenna, Maurice, Cleland, Brian, McGlade, Kieran, Rankin, Debbie, Wallace, Jonathan, Black, Michaela
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8440505/
https://www.ncbi.nlm.nih.gov/pubmed/34521920
http://dx.doi.org/10.1038/s41598-021-97716-3
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author Booth, Frederick G.
R Bond, Raymond
D Mulvenna, Maurice
Cleland, Brian
McGlade, Kieran
Rankin, Debbie
Wallace, Jonathan
Black, Michaela
author_facet Booth, Frederick G.
R Bond, Raymond
D Mulvenna, Maurice
Cleland, Brian
McGlade, Kieran
Rankin, Debbie
Wallace, Jonathan
Black, Michaela
author_sort Booth, Frederick G.
collection PubMed
description Traditionally General Practitioner (GP) practices have been labelled as being in Rural, Urban or Semi-Rural areas with no statistical method of identifying which practices fall into each category. The main aim of this study is to investigate whether location and other characteristics can provide a tautology to identify different types of GP practice and compare the prescribing behaviours associated with the different practice types. To achieve this monthly open source prescription data were analysed by practice considering location, practice size, population density and deprivation rankings. One year’s data was subjected to k-means clustering with the results showing that only two different types of GP practice can be classified that are dependent on location characteristics in Northern Ireland. Traditional labels did not describe the two classifications fully and new classifications of Metropolitan and Non-Metropolitan were used. Whilst prescribing patterns were generally similar, it was found that Metropolitan practices generally had higher prescribing rates than Non-Metropolitan practices. Examining prescribing behaviours in accordance with British National Formulary (BNF) categories (known as chapters) showed that Chapter 4 (Central Nervous System) was responsible for most of the difference in prescribing levels. Within Chapter 4 higher prescribing levels were attributable to Analgesic and Antidepressant prescribing. The clusters were finally examined regarding the level of deprivation experienced in the area in which the practice was located. This showed that the Metropolitan cluster, having higher prescription rates, also had a higher proportion of practices located in highly deprived areas making deprivation a contributing factor.
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spelling pubmed-84405052021-09-15 Discovering and comparing types of general practitioner practices using geolocational features and prescribing behaviours by means of K-means clustering Booth, Frederick G. R Bond, Raymond D Mulvenna, Maurice Cleland, Brian McGlade, Kieran Rankin, Debbie Wallace, Jonathan Black, Michaela Sci Rep Article Traditionally General Practitioner (GP) practices have been labelled as being in Rural, Urban or Semi-Rural areas with no statistical method of identifying which practices fall into each category. The main aim of this study is to investigate whether location and other characteristics can provide a tautology to identify different types of GP practice and compare the prescribing behaviours associated with the different practice types. To achieve this monthly open source prescription data were analysed by practice considering location, practice size, population density and deprivation rankings. One year’s data was subjected to k-means clustering with the results showing that only two different types of GP practice can be classified that are dependent on location characteristics in Northern Ireland. Traditional labels did not describe the two classifications fully and new classifications of Metropolitan and Non-Metropolitan were used. Whilst prescribing patterns were generally similar, it was found that Metropolitan practices generally had higher prescribing rates than Non-Metropolitan practices. Examining prescribing behaviours in accordance with British National Formulary (BNF) categories (known as chapters) showed that Chapter 4 (Central Nervous System) was responsible for most of the difference in prescribing levels. Within Chapter 4 higher prescribing levels were attributable to Analgesic and Antidepressant prescribing. The clusters were finally examined regarding the level of deprivation experienced in the area in which the practice was located. This showed that the Metropolitan cluster, having higher prescription rates, also had a higher proportion of practices located in highly deprived areas making deprivation a contributing factor. Nature Publishing Group UK 2021-09-14 /pmc/articles/PMC8440505/ /pubmed/34521920 http://dx.doi.org/10.1038/s41598-021-97716-3 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Booth, Frederick G.
R Bond, Raymond
D Mulvenna, Maurice
Cleland, Brian
McGlade, Kieran
Rankin, Debbie
Wallace, Jonathan
Black, Michaela
Discovering and comparing types of general practitioner practices using geolocational features and prescribing behaviours by means of K-means clustering
title Discovering and comparing types of general practitioner practices using geolocational features and prescribing behaviours by means of K-means clustering
title_full Discovering and comparing types of general practitioner practices using geolocational features and prescribing behaviours by means of K-means clustering
title_fullStr Discovering and comparing types of general practitioner practices using geolocational features and prescribing behaviours by means of K-means clustering
title_full_unstemmed Discovering and comparing types of general practitioner practices using geolocational features and prescribing behaviours by means of K-means clustering
title_short Discovering and comparing types of general practitioner practices using geolocational features and prescribing behaviours by means of K-means clustering
title_sort discovering and comparing types of general practitioner practices using geolocational features and prescribing behaviours by means of k-means clustering
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8440505/
https://www.ncbi.nlm.nih.gov/pubmed/34521920
http://dx.doi.org/10.1038/s41598-021-97716-3
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