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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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 |
container_issue |
1 |
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1766002878098440192 |