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Where to enhance rural palliative care? Developing a spatial model to identify suitable communities most in need of service enhancement
BACKGROUND: In Canada, access to palliative care is a growing concern, particularly in rural communities. These communities have constrained health care services and accessing local palliative care can be challenging. The Site Suitability Model (SSM) was developed to identify rural “candidate” commu...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7057489/ https://www.ncbi.nlm.nih.gov/pubmed/32131822 http://dx.doi.org/10.1186/s12913-020-5024-y |
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author | Schuurman, Nadine Martin, Michael E. Crooks, Valorie A. Randall, Ellen |
author_facet | Schuurman, Nadine Martin, Michael E. Crooks, Valorie A. Randall, Ellen |
author_sort | Schuurman, Nadine |
collection | PubMed |
description | BACKGROUND: In Canada, access to palliative care is a growing concern, particularly in rural communities. These communities have constrained health care services and accessing local palliative care can be challenging. The Site Suitability Model (SSM) was developed to identify rural “candidate” communities with need for palliative care services and existing health service capacity that could be enhanced to support a secondary palliative care hub. The purpose of this study was to test the feasibility of implementing the SSM in Ontario by generating a ranked summary of rural “candidate” communities as potential secondary palliative care hubs. METHODS: Using Census data combined with community-level data, the SSM was applied to assess the suitability of 12 communities as rural secondary palliative care hubs. Scores from 0 to 1 were generated for four equally-weighted components: (1) population as the total population living within a 1-h drive of a candidate community; (2) isolation as travel time from that community to the nearest community with palliative care services; (3) vulnerability as community need based on a palliative care index score; and (4) community readiness as five dimensions of fit between a candidate community and a secondary palliative care hub. Component scores were summed for the SSM score and adjusted to range from 0 to 1. RESULTS: Population scores for the 12 communities ranged widely (0.19–1.00), as did isolation scores (0.16–0.94). Vulnerability scores ranged more narrowly (0.27–0.35), while community readiness scores ranged from 0.4–1.0. These component scores revealed information about each community’s particular strengths and weaknesses. Final SSM scores ranged from a low of 0.33 to a high of 0.76. CONCLUSIONS: The SSM was readily implemented in Ontario. Final scores generated a ranked list based on the relative suitability of candidate communities to become secondary palliative care hubs. This list provides information for policy makers to make allocation decisions regarding rural palliative services. The calculation of each community’s scores also generates information for local policy makers about how best to provide these services within their communities. The multi-factorial structure of the model enables decision makers to adapt the relative weights of its components. |
format | Online Article Text |
id | pubmed-7057489 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-70574892020-03-10 Where to enhance rural palliative care? Developing a spatial model to identify suitable communities most in need of service enhancement Schuurman, Nadine Martin, Michael E. Crooks, Valorie A. Randall, Ellen BMC Health Serv Res Research Article BACKGROUND: In Canada, access to palliative care is a growing concern, particularly in rural communities. These communities have constrained health care services and accessing local palliative care can be challenging. The Site Suitability Model (SSM) was developed to identify rural “candidate” communities with need for palliative care services and existing health service capacity that could be enhanced to support a secondary palliative care hub. The purpose of this study was to test the feasibility of implementing the SSM in Ontario by generating a ranked summary of rural “candidate” communities as potential secondary palliative care hubs. METHODS: Using Census data combined with community-level data, the SSM was applied to assess the suitability of 12 communities as rural secondary palliative care hubs. Scores from 0 to 1 were generated for four equally-weighted components: (1) population as the total population living within a 1-h drive of a candidate community; (2) isolation as travel time from that community to the nearest community with palliative care services; (3) vulnerability as community need based on a palliative care index score; and (4) community readiness as five dimensions of fit between a candidate community and a secondary palliative care hub. Component scores were summed for the SSM score and adjusted to range from 0 to 1. RESULTS: Population scores for the 12 communities ranged widely (0.19–1.00), as did isolation scores (0.16–0.94). Vulnerability scores ranged more narrowly (0.27–0.35), while community readiness scores ranged from 0.4–1.0. These component scores revealed information about each community’s particular strengths and weaknesses. Final SSM scores ranged from a low of 0.33 to a high of 0.76. CONCLUSIONS: The SSM was readily implemented in Ontario. Final scores generated a ranked list based on the relative suitability of candidate communities to become secondary palliative care hubs. This list provides information for policy makers to make allocation decisions regarding rural palliative services. The calculation of each community’s scores also generates information for local policy makers about how best to provide these services within their communities. The multi-factorial structure of the model enables decision makers to adapt the relative weights of its components. BioMed Central 2020-03-04 /pmc/articles/PMC7057489/ /pubmed/32131822 http://dx.doi.org/10.1186/s12913-020-5024-y Text en © The Author(s). 2020 Open AccessThis 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/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Article Schuurman, Nadine Martin, Michael E. Crooks, Valorie A. Randall, Ellen Where to enhance rural palliative care? Developing a spatial model to identify suitable communities most in need of service enhancement |
title | Where to enhance rural palliative care? Developing a spatial model to identify suitable communities most in need of service enhancement |
title_full | Where to enhance rural palliative care? Developing a spatial model to identify suitable communities most in need of service enhancement |
title_fullStr | Where to enhance rural palliative care? Developing a spatial model to identify suitable communities most in need of service enhancement |
title_full_unstemmed | Where to enhance rural palliative care? Developing a spatial model to identify suitable communities most in need of service enhancement |
title_short | Where to enhance rural palliative care? Developing a spatial model to identify suitable communities most in need of service enhancement |
title_sort | where to enhance rural palliative care? developing a spatial model to identify suitable communities most in need of service enhancement |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7057489/ https://www.ncbi.nlm.nih.gov/pubmed/32131822 http://dx.doi.org/10.1186/s12913-020-5024-y |
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