{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T18:50:08Z","timestamp":1740163808910,"version":"3.37.3"},"reference-count":32,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2021,9,14]],"date-time":"2021-09-14T00:00:00Z","timestamp":1631577600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"},{"start":{"date-parts":[[2021,9,14]],"date-time":"2021-09-14T00:00:00Z","timestamp":1631577600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"}],"funder":[{"DOI":"10.13039\/100016337","name":"Department for the Economy","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100016337","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Sci Rep"],"abstract":"<jats:title>Abstract<\/jats:title><jats:p>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\u2019s 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.<\/jats:p>","DOI":"10.1038\/s41598-021-97716-3","type":"journal-article","created":{"date-parts":[[2021,9,14]],"date-time":"2021-09-14T10:03:16Z","timestamp":1631613796000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["Discovering and comparing types of general practitioner practices using geolocational features and prescribing behaviours by means of K-means clustering"],"prefix":"10.1038","volume":"11","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-6492-3953","authenticated-orcid":false,"given":"Frederick G.","family":"Booth","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Raymond","family":"R Bond","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Maurice","family":"D Mulvenna","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Brian","family":"Cleland","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kieran","family":"McGlade","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Debbie","family":"Rankin","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jonathan","family":"Wallace","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Michaela","family":"Black","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2021,9,14]]},"reference":[{"unstructured":"Dash, M., & Liu, H. 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McCarron and Stanley Seibert Published by: Lippincott Williams & Wilkins Stable https:\/\/www.jstor.org\/stable\/3762511 Original Articles A Study of Prescribing Patterns. 9(5), 383\u2013395 (2021).","key":"97716_CR11","DOI":"10.1097\/00005650-197109000-00002"},{"issue":"5 Part 1","key":"97716_CR12","doi-asserted-by":"publisher","first-page":"1042","DOI":"10.1097\/01.AOG.0000143826.38439.af","volume":"104","author":"DSM Buist","year":"2004","unstructured":"Buist, D. S. M. et al. Hormone Therapy Prescribing Patterns in the United States. Obstet. Gynecol. 104(5 Part 1), 1042\u20131050. https:\/\/doi.org\/10.1097\/01.AOG.0000143826.38439.af (2004).","journal-title":"Obstet. Gynecol."},{"issue":"682","key":"97716_CR13","doi-asserted-by":"publisher","first-page":"e336","DOI":"10.3399\/bjgp19X702197","volume":"69","author":"A Eccles","year":"2019","unstructured":"Eccles, A., Hopper, M., Turk, A. & Atherton, H. Patient use of an online triage platform. Bt. J. 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