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Impact of diabetes on healthcare costs in a population‐based cohort: a cost analysis

AIMS: To estimate the healthcare costs attributable to diabetes in Ontario, Canada using a propensity‐matched control design and health administrative data from the perspective of a single‐payer healthcare system. METHODS: Incident diabetes cases among adults in Ontario were identified from the Onta...

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Autores principales: Rosella, L. C., Lebenbaum, M., Fitzpatrick, T., O'Reilly, D., Wang, J., Booth, G. L., Stukel, T. A., Wodchis, W. P.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5014203/
https://www.ncbi.nlm.nih.gov/pubmed/26201986
http://dx.doi.org/10.1111/dme.12858
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author Rosella, L. C.
Lebenbaum, M.
Fitzpatrick, T.
O'Reilly, D.
Wang, J.
Booth, G. L.
Stukel, T. A.
Wodchis, W. P.
author_facet Rosella, L. C.
Lebenbaum, M.
Fitzpatrick, T.
O'Reilly, D.
Wang, J.
Booth, G. L.
Stukel, T. A.
Wodchis, W. P.
author_sort Rosella, L. C.
collection PubMed
description AIMS: To estimate the healthcare costs attributable to diabetes in Ontario, Canada using a propensity‐matched control design and health administrative data from the perspective of a single‐payer healthcare system. METHODS: Incident diabetes cases among adults in Ontario were identified from the Ontario Diabetes Database between 2004 and 2012 and matched 1:3 to control subjects without diabetes identified in health administrative databases on the basis of sociodemographics and propensity score. Using a comprehensive source of administrative databases, direct per‐person costs (Canadian dollars 2012) were calculated. A cost analysis was performed to calculate the attributable costs of diabetes; i.e. the difference of costs between patients with diabetes and control subjects without diabetes. RESULTS: The study sample included 699 042 incident diabetes cases. The costs attributable to diabetes were greatest in the year after diagnosis [C$3,785 (95% CI 3708, 3862) per person for women and C$3,826 (95% CI 3751, 3901) for men], increasing substantially for older age groups and patients who died during follow‐up. After accounting for baseline comorbidities, attributable costs were primarily incurred through inpatient acute hospitalizations, physician visits and prescription medications and assistive devices. CONCLUSIONS: The excess healthcare costs attributable to diabetes are substantial and pose a significant clinical and public health challenge. This burden is an important consideration for decision‐makers, particularly given increasing concern over the sustainability of the healthcare system, aging population structure and increasing prevalence of diabetic risk factors, such as obesity.
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spelling pubmed-50142032016-09-20 Impact of diabetes on healthcare costs in a population‐based cohort: a cost analysis Rosella, L. C. Lebenbaum, M. Fitzpatrick, T. O'Reilly, D. Wang, J. Booth, G. L. Stukel, T. A. Wodchis, W. P. Diabet Med Research Articles AIMS: To estimate the healthcare costs attributable to diabetes in Ontario, Canada using a propensity‐matched control design and health administrative data from the perspective of a single‐payer healthcare system. METHODS: Incident diabetes cases among adults in Ontario were identified from the Ontario Diabetes Database between 2004 and 2012 and matched 1:3 to control subjects without diabetes identified in health administrative databases on the basis of sociodemographics and propensity score. Using a comprehensive source of administrative databases, direct per‐person costs (Canadian dollars 2012) were calculated. A cost analysis was performed to calculate the attributable costs of diabetes; i.e. the difference of costs between patients with diabetes and control subjects without diabetes. RESULTS: The study sample included 699 042 incident diabetes cases. The costs attributable to diabetes were greatest in the year after diagnosis [C$3,785 (95% CI 3708, 3862) per person for women and C$3,826 (95% CI 3751, 3901) for men], increasing substantially for older age groups and patients who died during follow‐up. After accounting for baseline comorbidities, attributable costs were primarily incurred through inpatient acute hospitalizations, physician visits and prescription medications and assistive devices. CONCLUSIONS: The excess healthcare costs attributable to diabetes are substantial and pose a significant clinical and public health challenge. This burden is an important consideration for decision‐makers, particularly given increasing concern over the sustainability of the healthcare system, aging population structure and increasing prevalence of diabetic risk factors, such as obesity. John Wiley and Sons Inc. 2015-08-19 2016-03 /pmc/articles/PMC5014203/ /pubmed/26201986 http://dx.doi.org/10.1111/dme.12858 Text en © 2015 The Authors. Diabetic Medicine published by John Wiley & Sons Ltd on behalf of Diabetes UK. This is an open access article under the terms of the Creative Commons Attribution‐NonCommercial‐NoDerivs (http://creativecommons.org/licenses/by-nc-nd/4.0/) License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made.
spellingShingle Research Articles
Rosella, L. C.
Lebenbaum, M.
Fitzpatrick, T.
O'Reilly, D.
Wang, J.
Booth, G. L.
Stukel, T. A.
Wodchis, W. P.
Impact of diabetes on healthcare costs in a population‐based cohort: a cost analysis
title Impact of diabetes on healthcare costs in a population‐based cohort: a cost analysis
title_full Impact of diabetes on healthcare costs in a population‐based cohort: a cost analysis
title_fullStr Impact of diabetes on healthcare costs in a population‐based cohort: a cost analysis
title_full_unstemmed Impact of diabetes on healthcare costs in a population‐based cohort: a cost analysis
title_short Impact of diabetes on healthcare costs in a population‐based cohort: a cost analysis
title_sort impact of diabetes on healthcare costs in a population‐based cohort: a cost analysis
topic Research Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5014203/
https://www.ncbi.nlm.nih.gov/pubmed/26201986
http://dx.doi.org/10.1111/dme.12858
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