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Geographical disparities in access to hospital care in Ontario, Canada: a spatial coverage modelling approach
OBJECTIVES: Previous studies on geographical disparities in healthcare access have been limited by not accounting for the healthcare provider’s capacity, a key determinant of supply and demand relationships. DESIGN: This study proposed a spatial coverage modelling approach to evaluate disparities in...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7845691/ https://www.ncbi.nlm.nih.gov/pubmed/33509846 http://dx.doi.org/10.1136/bmjopen-2020-041474 |
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author | Ge, Erjia Su, Min Zhao, Ruiling Huang, Zhiyong Shan, Yina Wei, Xiaolin |
author_facet | Ge, Erjia Su, Min Zhao, Ruiling Huang, Zhiyong Shan, Yina Wei, Xiaolin |
author_sort | Ge, Erjia |
collection | PubMed |
description | OBJECTIVES: Previous studies on geographical disparities in healthcare access have been limited by not accounting for the healthcare provider’s capacity, a key determinant of supply and demand relationships. DESIGN: This study proposed a spatial coverage modelling approach to evaluate disparities in hospital care access using Canadian Institute for Health Information data in 2007. SETTING: This study focusses on accessibility of inpatient and emergency cares at both levels of individual hospital and the administrative regions of Local Health Integration Network (LHIN) levels. MEASURES: We integrated a set of traffic and geographical data to precisely estimate travel time as a measure of the level of accessibility to the nearest hospital by three scenarios: walking, driving and a combination of the both. We estimated population coverage rates, using hospital capacities and population in the catchments, as a measure of the level of the healthcare availability. Hospital capacities were calculated based on numbers of medical staff and beds, occupation rates and annual working hours of healthcare providers. RESULTS: We observed significant disparities in hospital capacity, travel time and population coverage rate across the LHINs. This study included 25 teaching and 148 community hospitals. The teaching hospitals had stronger capacities with 489 209 inpatient and 130 773 emergency patients served in the year, while the population served in community hospitals were 2.64 times higher. Compared with north Ontario, more locations in the south could reach to hospitals within 30 min irrespective of the travel mode. Additionally, Northern Ontario has higher population coverage rates, for example, with 42.6~46.9% for inpatient and 15.7~44% for emergency cares, compared with 2.4~34.7% and 0.35~14.6% in Southern Ontario, within a 30 min catchment by driving. CONCLUSION: Creating a comprehensive, flexible and integrated healthcare system should be considered as an effective approach to improve equity in access to care. |
format | Online Article Text |
id | pubmed-7845691 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-78456912021-02-04 Geographical disparities in access to hospital care in Ontario, Canada: a spatial coverage modelling approach Ge, Erjia Su, Min Zhao, Ruiling Huang, Zhiyong Shan, Yina Wei, Xiaolin BMJ Open Public Health OBJECTIVES: Previous studies on geographical disparities in healthcare access have been limited by not accounting for the healthcare provider’s capacity, a key determinant of supply and demand relationships. DESIGN: This study proposed a spatial coverage modelling approach to evaluate disparities in hospital care access using Canadian Institute for Health Information data in 2007. SETTING: This study focusses on accessibility of inpatient and emergency cares at both levels of individual hospital and the administrative regions of Local Health Integration Network (LHIN) levels. MEASURES: We integrated a set of traffic and geographical data to precisely estimate travel time as a measure of the level of accessibility to the nearest hospital by three scenarios: walking, driving and a combination of the both. We estimated population coverage rates, using hospital capacities and population in the catchments, as a measure of the level of the healthcare availability. Hospital capacities were calculated based on numbers of medical staff and beds, occupation rates and annual working hours of healthcare providers. RESULTS: We observed significant disparities in hospital capacity, travel time and population coverage rate across the LHINs. This study included 25 teaching and 148 community hospitals. The teaching hospitals had stronger capacities with 489 209 inpatient and 130 773 emergency patients served in the year, while the population served in community hospitals were 2.64 times higher. Compared with north Ontario, more locations in the south could reach to hospitals within 30 min irrespective of the travel mode. Additionally, Northern Ontario has higher population coverage rates, for example, with 42.6~46.9% for inpatient and 15.7~44% for emergency cares, compared with 2.4~34.7% and 0.35~14.6% in Southern Ontario, within a 30 min catchment by driving. CONCLUSION: Creating a comprehensive, flexible and integrated healthcare system should be considered as an effective approach to improve equity in access to care. BMJ Publishing Group 2021-01-28 /pmc/articles/PMC7845691/ /pubmed/33509846 http://dx.doi.org/10.1136/bmjopen-2020-041474 Text en © Author(s) (or their employer(s)) 2021. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. http://creativecommons.org/licenses/by-nc/4.0/ http://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/. |
spellingShingle | Public Health Ge, Erjia Su, Min Zhao, Ruiling Huang, Zhiyong Shan, Yina Wei, Xiaolin Geographical disparities in access to hospital care in Ontario, Canada: a spatial coverage modelling approach |
title | Geographical disparities in access to hospital care in Ontario, Canada: a spatial coverage modelling approach |
title_full | Geographical disparities in access to hospital care in Ontario, Canada: a spatial coverage modelling approach |
title_fullStr | Geographical disparities in access to hospital care in Ontario, Canada: a spatial coverage modelling approach |
title_full_unstemmed | Geographical disparities in access to hospital care in Ontario, Canada: a spatial coverage modelling approach |
title_short | Geographical disparities in access to hospital care in Ontario, Canada: a spatial coverage modelling approach |
title_sort | geographical disparities in access to hospital care in ontario, canada: a spatial coverage modelling approach |
topic | Public Health |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7845691/ https://www.ncbi.nlm.nih.gov/pubmed/33509846 http://dx.doi.org/10.1136/bmjopen-2020-041474 |
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