Literature DB >> 33355275

Adults with diabetes mellitus in Newfoundland and Labrador: a population-based, cross-sectional analysis.

Julia Lukewich1, Richard Buote2, Shabnam Asghari2, Kris Aubrey-Bassler2, John Knight2, Maria Mathews2.   

Abstract

BACKGROUND: Although the province of Newfoundland and Labrador has the highest rates of chronic disease in Canada, the current state of many chronic diseases in the province, including diabetes mellitus, has not been well explored. We profiled the demographic characteristics associated with, and the management of, diabetes in Newfoundland and Labrador, including any rural-urban differences.
METHODS: We performed a population-based, cross-sectional analysis using data from the provincial Chronic Disease Registry for fiscal year 2015/16. Patients in the study sample were 20 years of age or older, with documented identifiers for age, sex and geographic location. We examined demographic characteristics, results of screening and diabetes clinical tests (glycated hemoglobin [HbA1c], low-density lipoprotein [LDL] cholesterol and urine albumin-to-creatinine ratio) and hospitalization rates. We described and compared demographic, clinical and hospitalization variables across urban and rural residents of the province.
RESULTS: The study sample consisted of 66 325 individuals with diabetes in Newfoundland and Labrador (mean age 64.1 yr; 56.3% rural residents). Larger proportions of rural than urban residents with diabetes were aged 65 to 79 years (41.2% v. 37.5%), were female (50.2% v. 48.7%) and were identified as having the disease by laboratory tests only (19.6% v. 13.1%). Rural residents had worse clinical test outcomes than their urban counterparts, specifically with respect to HbA1c (mean and standard deviation [SD], 7.41% [SD 1.49] v. 7.26% [SD 1.50]) and LDL cholesterol (mean 2.46 [SD 0.95] v. mean 2.36 [SD 0.94] mmol/L). A total of 13.7% of individuals were admitted to hospital during the cohort year, with slightly more rural residents admitted for renal disease (standardized difference 0.021, 95% confidence interval 0.005 to 0.036).
INTERPRETATION: For many individuals with diabetes in Newfoundland and Labrador, recommended targets for diabetes management are not being met, and residents in rural areas have poorer clinical outcomes. To inform the development and implementation of targeted provincial strategies for chronic disease management, further research is needed to determine how outcomes relate to the availability of primary health care services. Copyright 2020, Joule Inc. or its licensors.

Entities:  

Mesh:

Year:  2020        PMID: 33355275      PMCID: PMC7759100          DOI: 10.9778/cmajo.20190233

Source DB:  PubMed          Journal:  CMAJ Open        ISSN: 2291-0026


  21 in total

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Authors:  G B John Mancini; Robert A Hegele; Lawrence A Leiter
Journal:  Can J Diabetes       Date:  2013-03-26       Impact factor: 4.190

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Authors:  Philip McFarlane; Richard E Gilbert; Lori MacCallum; Peter Senior
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Authors:  Moira K Kapral; Peter C Austin; Geerthana Jeyakumar; Ruth Hall; Anna Chu; Anam M Khan; Albert Y Jin; Cally Martin; Doug Manuel; Frank L Silver; Richard H Swartz; Jack V Tu
Journal:  Circ Cardiovasc Qual Outcomes       Date:  2019-02

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Authors:  Constadina Panagiotopoulos; Stasia Hadjiyannakis; Mélanie Henderson
Journal:  Can J Diabetes       Date:  2018-04       Impact factor: 4.190

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Authors:  Maureen Clement; Pierre Filteau; Betty Harvey; Susie Jin; Tessa Laubscher; Geetha Mukerji; Diana Sherifali
Journal:  Can J Diabetes       Date:  2018-04       Impact factor: 4.190

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Authors:  Alice Y Y Cheng
Journal:  Can J Diabetes       Date:  2013-03-26       Impact factor: 4.190

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Authors:  G Worrall; N Moulton
Journal:  Can J Public Health       Date:  1992 Sep-Oct

9.  Treatment gaps for hypertension management in rural Canadian patients with type 2 diabetes mellitus.

Authors:  Alison L Supina; Lisa M Guirguis; Sumit R Majumdar; Richard Z Lewanczuk; T K Lee; Ellen L Toth; Jeffrey A Johnson
Journal:  Clin Ther       Date:  2004-04       Impact factor: 3.393

10.  Identifying diabetes cases from administrative data: a population-based validation study.

Authors:  Lorraine L Lipscombe; Jeremiah Hwee; Lauren Webster; Baiju R Shah; Gillian L Booth; Karen Tu
Journal:  BMC Health Serv Res       Date:  2018-05-02       Impact factor: 2.655

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