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Identifying Distinct Geographic Health Service Environments in British Columbia, Canada: Cluster Analysis of Population-Based Administrative Data

Definitions of “urban” and “rural” developed for general purposes may not reflect the organization and delivery of healthcare. This research used cluster analysis to group Local Health Areas based on the distribution of healthcare spending across service categories. Though total spending was similar...

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Detalles Bibliográficos
Autor principal: Lavergne, M. Ruth
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Longwoods Publishing 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5008130/
https://www.ncbi.nlm.nih.gov/pubmed/27585025
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author Lavergne, M. Ruth
author_facet Lavergne, M. Ruth
author_sort Lavergne, M. Ruth
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description Definitions of “urban” and “rural” developed for general purposes may not reflect the organization and delivery of healthcare. This research used cluster analysis to group Local Health Areas based on the distribution of healthcare spending across service categories. Though total spending was similar, the metropolitan areas of Vancouver and Victoria were identified as distinct from non-metropolitan and remote communities, based on the distribution of healthcare spending alone. Non-metropolitan communities with large community hospitals and greater physician supply were further distinguished from those with fewer healthcare resources. This approach may be useful to other researchers and service planners.
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spelling pubmed-50081302017-08-01 Identifying Distinct Geographic Health Service Environments in British Columbia, Canada: Cluster Analysis of Population-Based Administrative Data Lavergne, M. Ruth Healthc Policy Data Matters Definitions of “urban” and “rural” developed for general purposes may not reflect the organization and delivery of healthcare. This research used cluster analysis to group Local Health Areas based on the distribution of healthcare spending across service categories. Though total spending was similar, the metropolitan areas of Vancouver and Victoria were identified as distinct from non-metropolitan and remote communities, based on the distribution of healthcare spending alone. Non-metropolitan communities with large community hospitals and greater physician supply were further distinguished from those with fewer healthcare resources. This approach may be useful to other researchers and service planners. Longwoods Publishing 2016-08 /pmc/articles/PMC5008130/ /pubmed/27585025 Text en Copyright © 2016 Longwoods Publishing http://creativecommons.org/licenses/by-nc/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution-Non Commercial 4.0 License, which permits rights to copy and redistribute the work for non-commercial purposes only, provided the original work is given proper attribution.
spellingShingle Data Matters
Lavergne, M. Ruth
Identifying Distinct Geographic Health Service Environments in British Columbia, Canada: Cluster Analysis of Population-Based Administrative Data
title Identifying Distinct Geographic Health Service Environments in British Columbia, Canada: Cluster Analysis of Population-Based Administrative Data
title_full Identifying Distinct Geographic Health Service Environments in British Columbia, Canada: Cluster Analysis of Population-Based Administrative Data
title_fullStr Identifying Distinct Geographic Health Service Environments in British Columbia, Canada: Cluster Analysis of Population-Based Administrative Data
title_full_unstemmed Identifying Distinct Geographic Health Service Environments in British Columbia, Canada: Cluster Analysis of Population-Based Administrative Data
title_short Identifying Distinct Geographic Health Service Environments in British Columbia, Canada: Cluster Analysis of Population-Based Administrative Data
title_sort identifying distinct geographic health service environments in british columbia, canada: cluster analysis of population-based administrative data
topic Data Matters
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5008130/
https://www.ncbi.nlm.nih.gov/pubmed/27585025
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