Skip to main content
Top
Published in: Population Health Metrics 1/2007

Open Access 01-12-2007 | Research

Counting drugs to understand the disease: The case of measuring the diabetes epidemic

Authors: Henrik Støvring, Morten Andersen, Henning Beck-Nielsen, Anders Green, Werner Vach

Published in: Population Health Metrics | Issue 1/2007

Login to get access

Abstract

Background

Diabetes prevalence increases globally with severe consequences for afflicted individuals and societies. Data on diabetes incidence and diabetes related mortality on a population level are, however, scarce. As an alternative to dedicated studies it has been suggested to use pharmacoepidemiological databases that are readily available, at least in the Nordic countries.

Methods

For all 470,000 inhabitants in Funen County, Denmark, in the period 1992–2003, data on gender, date of birth, death and migration to and from the county, and any filled prescriptions of an anti-diabetic medication was obtained from the Odense Pharmaco-Epidemiological Database.

Results

Prevalence odds for use of an anti-diabetic medication rose annually 3.5% (95% confidence interval: 3.1%, 3.9%) for females, 4.5% (4.0%, 4.9%) for males. Corresponding incidence rates annually rose 4.8% (3.8%, 5.8%) for females, 4.5% (3.5%, 5.4%) for males. Mortality rates among treated annually declined 2.8% (1.4%, 4.1%) among females, 2.2% (0.9%, 3.5%) among males. The disequilibrium in absolute numbers between incidence and mortality among treated was the main driver for the increasing prevalence, while concurrent trends in incidence and diabetes related mortality only marginally affected prevalence trends. Trend estimates were insensitive to varying the length of the run-in period used for determining treatment status, except when using the naive and methodologically flawed run-in period of variable length.

Conclusion

While pharmacoepidemiological databases provide a useful tool for monitoring pharmacologically treated diabetes, a dedicated diabetes database covering all prevalents and incidents is needed for a more detailed analysis of underlying causes and trends.
Appendix
Available only for authorised users
Literature
1.
go back to reference Harris M, Hadden W, Knowler W, Bennet P: Prevalence of diabetes and impaired glucose tolerance and plasma glucose levels in U.S. population aged 20–74 yr. Diabetes 1987, 36: 523-34.CrossRefPubMed Harris M, Hadden W, Knowler W, Bennet P: Prevalence of diabetes and impaired glucose tolerance and plasma glucose levels in U.S. population aged 20–74 yr. Diabetes 1987, 36: 523-34.CrossRefPubMed
2.
go back to reference Stratton I, Adler A, Neil H, Matthews D, Manley S, Cull C, Hadden D, Turner R, Holman R: Association of glycaemia with macrovascular and microvascular complications of type 2 diabetes (UKPDS 35): prospective observational study. British Medical Journal 2000,321(7258):405-12. 10.1136/bmj.321.7258.405CrossRefPubMedPubMedCentral Stratton I, Adler A, Neil H, Matthews D, Manley S, Cull C, Hadden D, Turner R, Holman R: Association of glycaemia with macrovascular and microvascular complications of type 2 diabetes (UKPDS 35): prospective observational study. British Medical Journal 2000,321(7258):405-12. 10.1136/bmj.321.7258.405CrossRefPubMedPubMedCentral
3.
go back to reference Wild S, Roglic G, Green A, Sicree R, King H: Global prevalence of diabetes: estimates for the year 2000 and projections for 2030. Diabetes Care 2004,27(5):1047-53.CrossRefPubMed Wild S, Roglic G, Green A, Sicree R, King H: Global prevalence of diabetes: estimates for the year 2000 and projections for 2030. Diabetes Care 2004,27(5):1047-53.CrossRefPubMed
4.
go back to reference Mokdad A, Bowman B, Ford E, Vinicor F, Marks J, Koplan J: The continuing epidemics of obesity and diabetes in the United States. JAMA 2001, 286: 1195-200. 10.1001/jama.286.10.1195CrossRefPubMed Mokdad A, Bowman B, Ford E, Vinicor F, Marks J, Koplan J: The continuing epidemics of obesity and diabetes in the United States. JAMA 2001, 286: 1195-200. 10.1001/jama.286.10.1195CrossRefPubMed
5.
go back to reference Colagiuri S, Borch-Johnsen K, Glümer C, Vistisen D: There really is an epidemic of type 2 diabetes. Diabetologia 2005. Colagiuri S, Borch-Johnsen K, Glümer C, Vistisen D: There really is an epidemic of type 2 diabetes. Diabetologia 2005.
6.
go back to reference Green A, Støvring H, Andersen M, Beck-Nielsen H: The epidemic of type 2 diabetes is a statistical artefact. Diabetologia 2005. Green A, Støvring H, Andersen M, Beck-Nielsen H: The epidemic of type 2 diabetes is a statistical artefact. Diabetologia 2005.
7.
go back to reference Støvring H, Andersen M, Beck-Nielsen H, Green A, Vach W: Rising prevalence of diabetes: evidence from a Danish pharmaco-epidemiological database. Lancet 2003,362(9383):537-8. 10.1016/S0140-6736(03)14116-5CrossRefPubMed Støvring H, Andersen M, Beck-Nielsen H, Green A, Vach W: Rising prevalence of diabetes: evidence from a Danish pharmaco-epidemiological database. Lancet 2003,362(9383):537-8. 10.1016/S0140-6736(03)14116-5CrossRefPubMed
8.
go back to reference Sartor F, Walckiers D: Estimate of disease prevalence using drug consumption data. Am J Epidemiol 1995,141(8):782-787.PubMed Sartor F, Walckiers D: Estimate of disease prevalence using drug consumption data. Am J Epidemiol 1995,141(8):782-787.PubMed
9.
go back to reference Papoz L: Utilization of drug sales data for the epidemiology of chronic diseases: the example of diabetes. The EURODIAB Subarea C Study Group. Epidemiology 1993,4(5):421-427. 10.1097/00001648-199309000-00007CrossRefPubMed Papoz L: Utilization of drug sales data for the epidemiology of chronic diseases: the example of diabetes. The EURODIAB Subarea C Study Group. Epidemiology 1993,4(5):421-427. 10.1097/00001648-199309000-00007CrossRefPubMed
10.
go back to reference Duarte-Ramos F, Cabrita J: Using a pharmaco-epidemiological approach to estimate diabetes type 2 prevalence in Portugal. Pharmacoepidemiol Drug Saf 2006,15(4):269-274. 10.1002/pds.1186CrossRefPubMed Duarte-Ramos F, Cabrita J: Using a pharmaco-epidemiological approach to estimate diabetes type 2 prevalence in Portugal. Pharmacoepidemiol Drug Saf 2006,15(4):269-274. 10.1002/pds.1186CrossRefPubMed
11.
go back to reference Hallas J, Nissen A: Individualized drug utilization statistics. Analysing a population's drug use from the perspective of individual users. Eur J Clin Pharmacol 1994,47(4):367-372. 10.1007/BF00191170CrossRefPubMed Hallas J, Nissen A: Individualized drug utilization statistics. Analysing a population's drug use from the perspective of individual users. Eur J Clin Pharmacol 1994,47(4):367-372. 10.1007/BF00191170CrossRefPubMed
12.
go back to reference Gaist D, Sorensen H, Hallas J: The Danish prescription registries. Dan Med Bull 1997,44(4):445-8.PubMed Gaist D, Sorensen H, Hallas J: The Danish prescription registries. Dan Med Bull 1997,44(4):445-8.PubMed
13.
go back to reference The WHO Collaborating Centre for Drug Statistics Methodology: ATC index with DDDs and Guidelines for ATC classification and DDD assignment. Oslo. 2001. The WHO Collaborating Centre for Drug Statistics Methodology: ATC index with DDDs and Guidelines for ATC classification and DDD assignment. Oslo. 2001.
14.
go back to reference Huber PJ: The behavior of maximum likelihood estimates under nonstandard conditions. In Proc. Fifth Berkeley Sympos. Math. Statist. and Probability (Berkeley, Calif., 1965/66), Statistics. Volume I. Berkeley, Calif.: Univ. California Press; 1967:221-233. Huber PJ: The behavior of maximum likelihood estimates under nonstandard conditions. In Proc. Fifth Berkeley Sympos. Math. Statist. and Probability (Berkeley, Calif., 1965/66), Statistics. Volume I. Berkeley, Calif.: Univ. California Press; 1967:221-233.
15.
go back to reference White H: Maximum likelihood estimation of misspecifled models. Econometrica 1982, 50: 1-25. 10.2307/1912526CrossRef White H: Maximum likelihood estimation of misspecifled models. Econometrica 1982, 50: 1-25. 10.2307/1912526CrossRef
16.
go back to reference StataCorp: Stata Statistical Software: Release 8.0. College Station, Texas: Stata Corporation. 2003. StataCorp: Stata Statistical Software: Release 8.0. College Station, Texas: Stata Corporation. 2003.
17.
go back to reference Glynn RJ, Monane M, Gurwitz JH, Choodnovskiy I, Avorn J: Aging, comorbidity, and reduced rates of drug treatment for diabetes mellitus. J Clin Epidemiol 1999,52(8):781-790. 10.1016/S0895-4356(99)00055-4CrossRefPubMed Glynn RJ, Monane M, Gurwitz JH, Choodnovskiy I, Avorn J: Aging, comorbidity, and reduced rates of drug treatment for diabetes mellitus. J Clin Epidemiol 1999,52(8):781-790. 10.1016/S0895-4356(99)00055-4CrossRefPubMed
18.
go back to reference Glynn RJ, Monane M, Gurwitz JH, Choodnovskiy I, Avorn J: Agreement between drug treatment data and a discharge diagnosis of diabetes mellitus in the elderly. Am J Epidemiol 1999,149(6):541-549.CrossRefPubMed Glynn RJ, Monane M, Gurwitz JH, Choodnovskiy I, Avorn J: Agreement between drug treatment data and a discharge diagnosis of diabetes mellitus in the elderly. Am J Epidemiol 1999,149(6):541-549.CrossRefPubMed
19.
go back to reference Drivsholm TB, Frederiksen K, de Fine Olivarius N, Ødegaard B, Kristensen JK: [The prevalence of diabetes in Denmark. Development of a method for a registry-based assessment]. Ugeskr Laeger 2003,165(29):2887-2891.PubMed Drivsholm TB, Frederiksen K, de Fine Olivarius N, Ødegaard B, Kristensen JK: [The prevalence of diabetes in Denmark. Development of a method for a registry-based assessment]. Ugeskr Laeger 2003,165(29):2887-2891.PubMed
20.
go back to reference Danish Medicines Agency: Antidiabetika: Forbruget af antidiabetika 1994 – 1997 (Antidiabetics: The use of antidiabetics 1994 – 1997). Brønshøj, Denmark; 1998. Danish Medicines Agency: Antidiabetika: Forbruget af antidiabetika 1994 – 1997 (Antidiabetics: The use of antidiabetics 1994 – 1997). Brønshøj, Denmark; 1998.
21.
go back to reference Kristensen JK, Bro F, Sandbaek A, Dahler-Eriksen K, Lassen JF, Lauritzen T: HbAlc in an unselected population of 4438 people with type 2 diabetes in a Danish county. Scand J Prim Health Care 2001,19(4):241-246. 10.1080/02813430152706765CrossRefPubMed Kristensen JK, Bro F, Sandbaek A, Dahler-Eriksen K, Lassen JF, Lauritzen T: HbAlc in an unselected population of 4438 people with type 2 diabetes in a Danish county. Scand J Prim Health Care 2001,19(4):241-246. 10.1080/02813430152706765CrossRefPubMed
22.
go back to reference Heitmann B, Stroger U, Mikkelsen K, Holst C, Sorensen T: Large heterogeneity of the obesity epidemic in Danish adults. Public Health Nutr 2004,7(3):453-60. 10.1079/PHN2003542CrossRefPubMed Heitmann B, Stroger U, Mikkelsen K, Holst C, Sorensen T: Large heterogeneity of the obesity epidemic in Danish adults. Public Health Nutr 2004,7(3):453-60. 10.1079/PHN2003542CrossRefPubMed
23.
go back to reference Cowie CC, Rust KF, Byrd-Holt DD, Eberhardt MS, Flegal KM, Engelgau MM, Saydah SH, Williams DE, Geiss LS, Gregg EW: Prevalence of diabetes and impaired fasting glucose in adults in the U.S. population: National Health And Nutrition Examination Survey 1999–2002. Diabetes Care 2006,29(6):1263-1268. 10.2337/dc06-0062CrossRefPubMed Cowie CC, Rust KF, Byrd-Holt DD, Eberhardt MS, Flegal KM, Engelgau MM, Saydah SH, Williams DE, Geiss LS, Gregg EW: Prevalence of diabetes and impaired fasting glucose in adults in the U.S. population: National Health And Nutrition Examination Survey 1999–2002. Diabetes Care 2006,29(6):1263-1268. 10.2337/dc06-0062CrossRefPubMed
Metadata
Title
Counting drugs to understand the disease: The case of measuring the diabetes epidemic
Authors
Henrik Støvring
Morten Andersen
Henning Beck-Nielsen
Anders Green
Werner Vach
Publication date
01-12-2007
Publisher
BioMed Central
Published in
Population Health Metrics / Issue 1/2007
Electronic ISSN: 1478-7954
DOI
https://doi.org/10.1186/1478-7954-5-2

Other articles of this Issue 1/2007

Population Health Metrics 1/2007 Go to the issue