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Association of socio-economic status with diabetes prevalence and utilization of diabetes care services

Authors
Publisher
BioMed Central
Publication Date
Source
PMC
Keywords
  • Research Article
Disciplines
  • Economics
  • Medicine

Abstract

1472-6963-6-124.fm ral ss BioMed CentBMC Health Services Research Open AcceResearch article Association of socio-economic status with diabetes prevalence and utilization of diabetes care services Doreen M Rabi1,2,3, Alun L Edwards1, Danielle A Southern3, Lawrence W Svenson5, Peter M Sargious1, Peter Norton4, Eric T Larsen6 and William A Ghali*1,2,3 Address: 1Department of Medicine, University of Calgary, Calgary, Canada, 2Department of Community Health Sciences, University of Calgary, Calgary, Canada, 3Centre for Health and Policy Studies, University of Calgary, Calgary, Canada, 4Department of Family Medicine, University of Calgary, Calgary, Canada, 5Alberta Health and Wellness, Edmonton, Canada and 6Calgary Laboratory Services, Calgary, Canada Email: Doreen M Rabi - [email protected]; Alun L Edwards - [email protected]; Danielle A Southern - [email protected]; Lawrence W Svenson - [email protected]; Peter M Sargious - [email protected]; Peter Norton - [email protected]; Eric T Larsen - [email protected]; William A Ghali* - [email protected] * Corresponding author Abstract Background: Low income appears to be associated with a higher prevalence of diabetes and diabetes related complications, however, little is known about how income influences access to diabetes care. The objective of the present study was to determine whether income is associated with referral to a diabetes centre within a universal health care system. Methods: Data on referral for diabetes care, diabetes prevalence and median household income were obtained from a regional Diabetes Education Centre (DEC) database, the Canadian National Diabetes Surveillance System (NDSS) and the 2001 Canadian Census respectively. Diabetes rate per capita, referral rate per capita and proportion with diabetes referred was determined for census dissemination areas. We used Chi square analyses to determine if diabetes prevalence or population rates of referral d

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