Geospatial patterns of comorbidity prevalence among people with osteoarthritis in Alberta Canada

Abstract Background Knowledge of geospatial pattern in comorbidities prevalence is critical to an understanding of the local health needs among people with osteoarthritis (OA). It provides valuable information for targeting optimal OA treatment and management at the local level. However, there is, a...

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Published in:BMC Public Health
Main Authors: Xiaoxiao Liu, Rizwan Shahid, Alka B. Patel, Terrence McDonald, Stefania Bertazzon, Nigel Waters, Judy E. Seidel, Deborah A. Marshall
Format: Article in Journal/Newspaper
Language:English
Published: BMC 2020
Subjects:
Online Access:https://doi.org/10.1186/s12889-020-09599-0
https://doaj.org/article/1df780a9be824584b1615426a04bda0d
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spelling ftdoajarticles:oai:doaj.org/article:1df780a9be824584b1615426a04bda0d 2023-05-15T16:17:02+02:00 Geospatial patterns of comorbidity prevalence among people with osteoarthritis in Alberta Canada Xiaoxiao Liu Rizwan Shahid Alka B. Patel Terrence McDonald Stefania Bertazzon Nigel Waters Judy E. Seidel Deborah A. Marshall 2020-10-01T00:00:00Z https://doi.org/10.1186/s12889-020-09599-0 https://doaj.org/article/1df780a9be824584b1615426a04bda0d EN eng BMC http://link.springer.com/article/10.1186/s12889-020-09599-0 https://doaj.org/toc/1471-2458 doi:10.1186/s12889-020-09599-0 1471-2458 https://doaj.org/article/1df780a9be824584b1615426a04bda0d BMC Public Health, Vol 20, Iss 1, Pp 1-16 (2020) Osteoarthritis Comorbidity Spatial analysis Rural Disparities Public aspects of medicine RA1-1270 article 2020 ftdoajarticles https://doi.org/10.1186/s12889-020-09599-0 2023-01-08T01:37:10Z Abstract Background Knowledge of geospatial pattern in comorbidities prevalence is critical to an understanding of the local health needs among people with osteoarthritis (OA). It provides valuable information for targeting optimal OA treatment and management at the local level. However, there is, at present, limited evidence about the geospatial pattern of comorbidity prevalence in Alberta, Canada. Methods Five administrative health datasets were linked to identify OA cases and comorbidities using validated case definitions. We explored the geospatial pattern in comorbidity prevalence at two standard geographic areas levels defined by the Alberta Health Services: descriptive analysis at rural-urban continuum level; spatial analysis (global Moran’s I, hot spot analysis, cluster and outlier analysis) at the local geographic area (LGA) level. We compared area-level indicators in comorbidities hotspots to those in the rest of Alberta (non-hotspots). Results Among 359,638 OA cases in 2013, approximately 60% of people resided in Metro and Urban areas, compared to 2% in Rural Remote areas. All comorbidity groups exhibited statistically significant spatial autocorrelation (hypertension: Moran’s I index 0.24, z score 4.61). Comorbidity hotspots, except depression, were located primarily in Rural and Rural Remote areas. Depression was more prevalent in Metro (Edmonton-Abbottsfield: 194 cases per 1000 population, 95%CI 192–195) and Urban LGAs (Lethbridge-North: 169, 95%CI 168–171) compared to Rural areas (Fox Creek: 65, 95%CI 63–68). Comorbidities hotspots included a higher percentage of First Nations or Inuit people. People with OA living in hotspots had lower socioeconomic status and less access to care compared to non-hotspots. Conclusions The findings highlight notable rural-urban disparities in comorbidities prevalence among people with OA in Alberta, Canada. Our study provides valuable evidence for policy and decision makers to design programs that ensure patients with OA receive optimal health management tailored ... Article in Journal/Newspaper First Nations inuit Directory of Open Access Journals: DOAJ Articles Canada BMC Public Health 20 1
institution Open Polar
collection Directory of Open Access Journals: DOAJ Articles
op_collection_id ftdoajarticles
language English
topic Osteoarthritis
Comorbidity
Spatial analysis
Rural
Disparities
Public aspects of medicine
RA1-1270
spellingShingle Osteoarthritis
Comorbidity
Spatial analysis
Rural
Disparities
Public aspects of medicine
RA1-1270
Xiaoxiao Liu
Rizwan Shahid
Alka B. Patel
Terrence McDonald
Stefania Bertazzon
Nigel Waters
Judy E. Seidel
Deborah A. Marshall
Geospatial patterns of comorbidity prevalence among people with osteoarthritis in Alberta Canada
topic_facet Osteoarthritis
Comorbidity
Spatial analysis
Rural
Disparities
Public aspects of medicine
RA1-1270
description Abstract Background Knowledge of geospatial pattern in comorbidities prevalence is critical to an understanding of the local health needs among people with osteoarthritis (OA). It provides valuable information for targeting optimal OA treatment and management at the local level. However, there is, at present, limited evidence about the geospatial pattern of comorbidity prevalence in Alberta, Canada. Methods Five administrative health datasets were linked to identify OA cases and comorbidities using validated case definitions. We explored the geospatial pattern in comorbidity prevalence at two standard geographic areas levels defined by the Alberta Health Services: descriptive analysis at rural-urban continuum level; spatial analysis (global Moran’s I, hot spot analysis, cluster and outlier analysis) at the local geographic area (LGA) level. We compared area-level indicators in comorbidities hotspots to those in the rest of Alberta (non-hotspots). Results Among 359,638 OA cases in 2013, approximately 60% of people resided in Metro and Urban areas, compared to 2% in Rural Remote areas. All comorbidity groups exhibited statistically significant spatial autocorrelation (hypertension: Moran’s I index 0.24, z score 4.61). Comorbidity hotspots, except depression, were located primarily in Rural and Rural Remote areas. Depression was more prevalent in Metro (Edmonton-Abbottsfield: 194 cases per 1000 population, 95%CI 192–195) and Urban LGAs (Lethbridge-North: 169, 95%CI 168–171) compared to Rural areas (Fox Creek: 65, 95%CI 63–68). Comorbidities hotspots included a higher percentage of First Nations or Inuit people. People with OA living in hotspots had lower socioeconomic status and less access to care compared to non-hotspots. Conclusions The findings highlight notable rural-urban disparities in comorbidities prevalence among people with OA in Alberta, Canada. Our study provides valuable evidence for policy and decision makers to design programs that ensure patients with OA receive optimal health management tailored ...
format Article in Journal/Newspaper
author Xiaoxiao Liu
Rizwan Shahid
Alka B. Patel
Terrence McDonald
Stefania Bertazzon
Nigel Waters
Judy E. Seidel
Deborah A. Marshall
author_facet Xiaoxiao Liu
Rizwan Shahid
Alka B. Patel
Terrence McDonald
Stefania Bertazzon
Nigel Waters
Judy E. Seidel
Deborah A. Marshall
author_sort Xiaoxiao Liu
title Geospatial patterns of comorbidity prevalence among people with osteoarthritis in Alberta Canada
title_short Geospatial patterns of comorbidity prevalence among people with osteoarthritis in Alberta Canada
title_full Geospatial patterns of comorbidity prevalence among people with osteoarthritis in Alberta Canada
title_fullStr Geospatial patterns of comorbidity prevalence among people with osteoarthritis in Alberta Canada
title_full_unstemmed Geospatial patterns of comorbidity prevalence among people with osteoarthritis in Alberta Canada
title_sort geospatial patterns of comorbidity prevalence among people with osteoarthritis in alberta canada
publisher BMC
publishDate 2020
url https://doi.org/10.1186/s12889-020-09599-0
https://doaj.org/article/1df780a9be824584b1615426a04bda0d
geographic Canada
geographic_facet Canada
genre First Nations
inuit
genre_facet First Nations
inuit
op_source BMC Public Health, Vol 20, Iss 1, Pp 1-16 (2020)
op_relation http://link.springer.com/article/10.1186/s12889-020-09599-0
https://doaj.org/toc/1471-2458
doi:10.1186/s12889-020-09599-0
1471-2458
https://doaj.org/article/1df780a9be824584b1615426a04bda0d
op_doi https://doi.org/10.1186/s12889-020-09599-0
container_title BMC Public Health
container_volume 20
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