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Geographical disparities in access to hospital care in Ontario, Canada: a spatial coverage modelling approach
ObjectivesPrevious 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.DesignThis study proposed a spatial coverage modelling approach to evaluate disparities in hosp...
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description | ObjectivesPrevious 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.DesignThis study proposed a spatial coverage modelling approach to evaluate disparities in hospital care access using Canadian Institute for Health Information data in 2007.SettingThis 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.MeasuresWe 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.ResultsWe 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.ConclusionCreating a comprehensive, flexible and integrated healthcare system should be considered as an effective approach to improve equity in access to care. |
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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.ResultsWe 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.ConclusionCreating a comprehensive, flexible and integrated healthcare system should be considered as an effective approach to improve equity in access to care.</description><identifier>ISSN: 2044-6055</identifier><identifier>EISSN: 2044-6055</identifier><identifier>DOI: 10.1136/bmjopen-2020-041474</identifier><identifier>PMID: 33509846</identifier><language>eng</language><publisher>England: British Medical Journal Publishing Group</publisher><subject>Emergency medical care ; Epidemiology ; Estimates ; Geography ; Health care policy ; Health facilities ; Health Services Accessibility ; health services administration & management ; Hospitals ; Humans ; Ontario ; Population ; Primary care ; Public Health ; Travel</subject><ispartof>BMJ open, 2021-01, Vol.11 (1), p.e041474-e041474</ispartof><rights>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.</rights><rights>2021 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/ 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/ . Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>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. 2021</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-b578t-269f3d97e93545278841db43d25c69fa8a12c45b3d3658eec49b596d5d7c16553</citedby><cites>FETCH-LOGICAL-b578t-269f3d97e93545278841db43d25c69fa8a12c45b3d3658eec49b596d5d7c16553</cites><orcidid>0000-0001-7574-6809 ; 0000-0002-3622-3287 ; 0000-0002-3076-2650</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/2482435791/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/2482435791?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>112,113,230,314,727,780,784,885,3194,25753,27549,27550,27924,27925,37012,37013,44590,53791,53793,55341,55350,75126,77594,77595,77596,77597,77601,77632,77660,77686</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/33509846$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Ge, Erjia</creatorcontrib><creatorcontrib>Su, Min</creatorcontrib><creatorcontrib>Zhao, Ruiling</creatorcontrib><creatorcontrib>Huang, Zhiyong</creatorcontrib><creatorcontrib>Shan, Yina</creatorcontrib><creatorcontrib>Wei, Xiaolin</creatorcontrib><title>Geographical disparities in access to hospital care in Ontario, Canada: a spatial coverage modelling approach</title><title>BMJ open</title><addtitle>BMJ Open</addtitle><addtitle>BMJ Open</addtitle><description>ObjectivesPrevious 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.DesignThis study proposed a spatial coverage modelling approach to evaluate disparities in hospital care access using Canadian Institute for Health Information data in 2007.SettingThis 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.MeasuresWe 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.ResultsWe 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.ConclusionCreating a comprehensive, flexible and integrated healthcare system should be considered as an effective approach to improve equity in access to care.</description><subject>Emergency medical care</subject><subject>Epidemiology</subject><subject>Estimates</subject><subject>Geography</subject><subject>Health care policy</subject><subject>Health facilities</subject><subject>Health Services Accessibility</subject><subject>health services administration & management</subject><subject>Hospitals</subject><subject>Humans</subject><subject>Ontario</subject><subject>Population</subject><subject>Primary care</subject><subject>Public 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Ruiling</au><au>Huang, Zhiyong</au><au>Shan, Yina</au><au>Wei, Xiaolin</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Geographical disparities in access to hospital care in Ontario, Canada: a spatial coverage modelling approach</atitle><jtitle>BMJ open</jtitle><stitle>BMJ Open</stitle><addtitle>BMJ Open</addtitle><date>2021-01-28</date><risdate>2021</risdate><volume>11</volume><issue>1</issue><spage>e041474</spage><epage>e041474</epage><pages>e041474-e041474</pages><issn>2044-6055</issn><eissn>2044-6055</eissn><abstract>ObjectivesPrevious 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.DesignThis study proposed a spatial coverage modelling approach to evaluate disparities in hospital care access using Canadian Institute for Health Information data in 2007.SettingThis 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.MeasuresWe 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.ResultsWe 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.ConclusionCreating a comprehensive, flexible and integrated healthcare system should be considered as an effective approach to improve equity in access to care.</abstract><cop>England</cop><pub>British Medical Journal Publishing Group</pub><pmid>33509846</pmid><doi>10.1136/bmjopen-2020-041474</doi><orcidid>https://orcid.org/0000-0001-7574-6809</orcidid><orcidid>https://orcid.org/0000-0002-3622-3287</orcidid><orcidid>https://orcid.org/0000-0002-3076-2650</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Emergency medical care Epidemiology Estimates Geography Health care policy Health facilities Health Services Accessibility health services administration & management Hospitals Humans Ontario Population Primary care Public Health Travel |
title | Geographical disparities in access to hospital care in Ontario, Canada: a spatial coverage modelling approach |
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