Geographic variation in preventable hospitalisations across Canada: a cross-sectional study

Objective The objective of this study is to examine the magnitude and pattern of small-area geographic variation in rates of preventable hospitalisations for ambulatory care-sensitive conditions (ACSC) across Canada (excluding Québec).Design and setting A cross-sectional study conducted in Canada (e...

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Main Authors: Saverio Stranges, Amardeep Thind, Shehzad Ali, Piotr Wilk, Kelly K Anderson, Andrew F Clark, Martin Cooke, Stephanie J Frisbee, Jason Gilliland, Michael Haan, Stewart Harris, Soushyant Kiarasi, Alana Maltby, Kambiz Norozi, Robert Petrella, Sisira Sarma, Sarah S Singh
Format: Article
Language:English
Published: BMJ Publishing Group 2020-05-01
Series:BMJ Open
Online Access:https://bmjopen.bmj.com/content/10/5/e037195.full
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spelling doaj-45d03d981b5f432092b36857d2bc29642020-11-25T03:30:29ZengBMJ Publishing GroupBMJ Open2044-60552020-05-0110510.1136/bmjopen-2020-037195Geographic variation in preventable hospitalisations across Canada: a cross-sectional studySaverio StrangesAmardeep ThindShehzad AliPiotr WilkKelly K AndersonAndrew F ClarkMartin CookeStephanie J FrisbeeJason GillilandMichael HaanStewart HarrisSoushyant KiarasiAlana MaltbyKambiz NoroziRobert PetrellaSisira SarmaSarah S SinghObjective The objective of this study is to examine the magnitude and pattern of small-area geographic variation in rates of preventable hospitalisations for ambulatory care-sensitive conditions (ACSC) across Canada (excluding Québec).Design and setting A cross-sectional study conducted in Canada (excluding Québec) using data from the 2006 Canadian Census Health and Environment Cohort (CanCHEC) linked prospectively to hospitalisation records from the Discharge Abstract Database (DAD) for the three fiscal years: 2006–2007, 2007–2008 and 2008–2009.Primary outcome measure Preventable hospitalisations (ACSC).Participants The 2006 CanCHEC represents a population of 22 562 120 individuals in Canada (excluding Québec). Of this number, 2 940 150 (13.03%) individuals were estimated to be hospitalised at least once during the 2006–2009 fiscal years.Methods Age-standardised annualised ACSC hospitalisation rates per 100 000 population were computed for each of the 190 Census Divisions. To assess the magnitude of Census Division-level geographic variation in rates of preventable hospitalisations, the global Moran’s I statistic was computed. ‘Hot spot’ analysis was used to identify the pattern of geographic variation.Results Of all the hospitalisation events reported in Canada during the 2006–2009 fiscal years, 337 995 (7.10%) events were ACSC-related hospitalisations. The Moran’s I statistic (Moran’s I=0.355) suggests non-randomness in the spatial distribution of preventable hospitalisations. The findings from the ‘hot spot’ analysis indicate a cluster of Census Divisions located in predominantly rural and remote parts of Ontario, Manitoba and Saskatchewan and in eastern and northern parts of Nunavut with significantly higher than average rates of preventable hospitalisation.Conclusion The knowledge generated on the small-area geographic variation in preventable hospitalisations can inform regional, provincial and national decision makers on planning, allocation of resources and monitoring performance of health service providers.https://bmjopen.bmj.com/content/10/5/e037195.full
collection DOAJ
language English
format Article
sources DOAJ
author Saverio Stranges
Amardeep Thind
Shehzad Ali
Piotr Wilk
Kelly K Anderson
Andrew F Clark
Martin Cooke
Stephanie J Frisbee
Jason Gilliland
Michael Haan
Stewart Harris
Soushyant Kiarasi
Alana Maltby
Kambiz Norozi
Robert Petrella
Sisira Sarma
Sarah S Singh
spellingShingle Saverio Stranges
Amardeep Thind
Shehzad Ali
Piotr Wilk
Kelly K Anderson
Andrew F Clark
Martin Cooke
Stephanie J Frisbee
Jason Gilliland
Michael Haan
Stewart Harris
Soushyant Kiarasi
Alana Maltby
Kambiz Norozi
Robert Petrella
Sisira Sarma
Sarah S Singh
Geographic variation in preventable hospitalisations across Canada: a cross-sectional study
BMJ Open
author_facet Saverio Stranges
Amardeep Thind
Shehzad Ali
Piotr Wilk
Kelly K Anderson
Andrew F Clark
Martin Cooke
Stephanie J Frisbee
Jason Gilliland
Michael Haan
Stewart Harris
Soushyant Kiarasi
Alana Maltby
Kambiz Norozi
Robert Petrella
Sisira Sarma
Sarah S Singh
author_sort Saverio Stranges
title Geographic variation in preventable hospitalisations across Canada: a cross-sectional study
title_short Geographic variation in preventable hospitalisations across Canada: a cross-sectional study
title_full Geographic variation in preventable hospitalisations across Canada: a cross-sectional study
title_fullStr Geographic variation in preventable hospitalisations across Canada: a cross-sectional study
title_full_unstemmed Geographic variation in preventable hospitalisations across Canada: a cross-sectional study
title_sort geographic variation in preventable hospitalisations across canada: a cross-sectional study
publisher BMJ Publishing Group
series BMJ Open
issn 2044-6055
publishDate 2020-05-01
description Objective The objective of this study is to examine the magnitude and pattern of small-area geographic variation in rates of preventable hospitalisations for ambulatory care-sensitive conditions (ACSC) across Canada (excluding Québec).Design and setting A cross-sectional study conducted in Canada (excluding Québec) using data from the 2006 Canadian Census Health and Environment Cohort (CanCHEC) linked prospectively to hospitalisation records from the Discharge Abstract Database (DAD) for the three fiscal years: 2006–2007, 2007–2008 and 2008–2009.Primary outcome measure Preventable hospitalisations (ACSC).Participants The 2006 CanCHEC represents a population of 22 562 120 individuals in Canada (excluding Québec). Of this number, 2 940 150 (13.03%) individuals were estimated to be hospitalised at least once during the 2006–2009 fiscal years.Methods Age-standardised annualised ACSC hospitalisation rates per 100 000 population were computed for each of the 190 Census Divisions. To assess the magnitude of Census Division-level geographic variation in rates of preventable hospitalisations, the global Moran’s I statistic was computed. ‘Hot spot’ analysis was used to identify the pattern of geographic variation.Results Of all the hospitalisation events reported in Canada during the 2006–2009 fiscal years, 337 995 (7.10%) events were ACSC-related hospitalisations. The Moran’s I statistic (Moran’s I=0.355) suggests non-randomness in the spatial distribution of preventable hospitalisations. The findings from the ‘hot spot’ analysis indicate a cluster of Census Divisions located in predominantly rural and remote parts of Ontario, Manitoba and Saskatchewan and in eastern and northern parts of Nunavut with significantly higher than average rates of preventable hospitalisation.Conclusion The knowledge generated on the small-area geographic variation in preventable hospitalisations can inform regional, provincial and national decision makers on planning, allocation of resources and monitoring performance of health service providers.
url https://bmjopen.bmj.com/content/10/5/e037195.full
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