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Estimating the prevalence and incidence of type 2 diabetes using population level pharmacy claims data: a cross-sectional study

OBJECTIVE: To estimate the prevalence and incidence of type 2 diabetes using a national pharmacy claims database. RESEARCH DESIGN AND METHODS: We used data from the Health Service Executive-Primary Care Reimbursement Service database in Ireland for this cross-sectional study. Prevalent cases of type...

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Autores principales: Sinnott, Sarah-Jo, McHugh, Sheena, Whelton, Helen, Layte, Richard, Barron, Steve, Kearney, Patricia M
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5253438/
https://www.ncbi.nlm.nih.gov/pubmed/28123753
http://dx.doi.org/10.1136/bmjdrc-2016-000288
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author Sinnott, Sarah-Jo
McHugh, Sheena
Whelton, Helen
Layte, Richard
Barron, Steve
Kearney, Patricia M
author_facet Sinnott, Sarah-Jo
McHugh, Sheena
Whelton, Helen
Layte, Richard
Barron, Steve
Kearney, Patricia M
author_sort Sinnott, Sarah-Jo
collection PubMed
description OBJECTIVE: To estimate the prevalence and incidence of type 2 diabetes using a national pharmacy claims database. RESEARCH DESIGN AND METHODS: We used data from the Health Service Executive-Primary Care Reimbursement Service database in Ireland for this cross-sectional study. Prevalent cases of type 2 diabetes were individuals using an oral hypoglycemic agent, irrespective of insulin use, in 2012. Incident cases were individuals using an oral hypoglycemic agent in 2012 who had not used one in the past. Population level estimates were calculated and stratified by age and sex. RESULTS: In 2012, there were 114 957 prevalent cases of type 2 diabetes giving a population prevalence of 2.51% (95% CI 2.49% to 2.52%). Among adults (≥15yrs), this was 3.16% (95% CI 3.15% to 3.18%). The highest prevalence was in those aged 70+ years (12.1%). 21 574 people developed type 2 diabetes in 2012 giving an overall incidence of 0.48% (95% CI 0.48% to 0.49%). In adults, this was 0.60% (95% CI 0.60% to 0.61%). Incidence rose with age to a maximum of 2.08% (95% CI 2.02% to 2.15%) in people aged 65–69 years. Men had a higher prevalence (2.96% vs 2.04%) and incidence (0.54% vs 0.41%) of type 2 diabetes than women. CONCLUSIONS: Pharmacy claims data allow estimates of objectively defined type 2 diabetes at the population level using up-to-date data. These estimates can be generated quickly to inform health service planning or to evaluate the impact of population level interventions.
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spelling pubmed-52534382017-01-25 Estimating the prevalence and incidence of type 2 diabetes using population level pharmacy claims data: a cross-sectional study Sinnott, Sarah-Jo McHugh, Sheena Whelton, Helen Layte, Richard Barron, Steve Kearney, Patricia M BMJ Open Diabetes Res Care Epidemiology/Health Services Research OBJECTIVE: To estimate the prevalence and incidence of type 2 diabetes using a national pharmacy claims database. RESEARCH DESIGN AND METHODS: We used data from the Health Service Executive-Primary Care Reimbursement Service database in Ireland for this cross-sectional study. Prevalent cases of type 2 diabetes were individuals using an oral hypoglycemic agent, irrespective of insulin use, in 2012. Incident cases were individuals using an oral hypoglycemic agent in 2012 who had not used one in the past. Population level estimates were calculated and stratified by age and sex. RESULTS: In 2012, there were 114 957 prevalent cases of type 2 diabetes giving a population prevalence of 2.51% (95% CI 2.49% to 2.52%). Among adults (≥15yrs), this was 3.16% (95% CI 3.15% to 3.18%). The highest prevalence was in those aged 70+ years (12.1%). 21 574 people developed type 2 diabetes in 2012 giving an overall incidence of 0.48% (95% CI 0.48% to 0.49%). In adults, this was 0.60% (95% CI 0.60% to 0.61%). Incidence rose with age to a maximum of 2.08% (95% CI 2.02% to 2.15%) in people aged 65–69 years. Men had a higher prevalence (2.96% vs 2.04%) and incidence (0.54% vs 0.41%) of type 2 diabetes than women. CONCLUSIONS: Pharmacy claims data allow estimates of objectively defined type 2 diabetes at the population level using up-to-date data. These estimates can be generated quickly to inform health service planning or to evaluate the impact of population level interventions. BMJ Publishing Group 2017-01-10 /pmc/articles/PMC5253438/ /pubmed/28123753 http://dx.doi.org/10.1136/bmjdrc-2016-000288 Text en Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://www.bmj.com/company/products-services/rights-and-licensing/ This is an Open Access article distributed in accordance with the terms of the Creative Commons Attribution (CC BY 4.0) license, which permits others to distribute, remix, adapt and build upon this work, for commercial use, provided the original work is properly cited. See: http://creativecommons.org/licenses/by/4.0/
spellingShingle Epidemiology/Health Services Research
Sinnott, Sarah-Jo
McHugh, Sheena
Whelton, Helen
Layte, Richard
Barron, Steve
Kearney, Patricia M
Estimating the prevalence and incidence of type 2 diabetes using population level pharmacy claims data: a cross-sectional study
title Estimating the prevalence and incidence of type 2 diabetes using population level pharmacy claims data: a cross-sectional study
title_full Estimating the prevalence and incidence of type 2 diabetes using population level pharmacy claims data: a cross-sectional study
title_fullStr Estimating the prevalence and incidence of type 2 diabetes using population level pharmacy claims data: a cross-sectional study
title_full_unstemmed Estimating the prevalence and incidence of type 2 diabetes using population level pharmacy claims data: a cross-sectional study
title_short Estimating the prevalence and incidence of type 2 diabetes using population level pharmacy claims data: a cross-sectional study
title_sort estimating the prevalence and incidence of type 2 diabetes using population level pharmacy claims data: a cross-sectional study
topic Epidemiology/Health Services Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5253438/
https://www.ncbi.nlm.nih.gov/pubmed/28123753
http://dx.doi.org/10.1136/bmjdrc-2016-000288
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