Skip to main content
Top
Published in: PharmacoEconomics 5/2003

01-04-2003 | Original Research Article

A Simulation Model for Estimating Direct Costs of Type 1 Diabetes Prevention

Authors: Mr Jarmo Hahl, Tuula Simell, Antti Kupila, Päivi Keskinen, Mikael Knip, Jorma Ilonen, Olli Simell

Published in: PharmacoEconomics | Issue 5/2003

Login to get access

Abstract

Background: The ongoing Type 1 Diabetes Prediction and Prevention Project in Finland (DIPP) is based on screening of genetic type 1 diabetes mellitus susceptibility, subsequent autoantibody follow-up and experimental preventive treatment with nasal insulin.
Objective: To analyse direct costs of type 1 diabetes prevention therapy with nasal insulin as it is now being studied in the DIPP project, and as it might be used as a part of routine healthcare in Finland.
Data and methods: For the purposes of cost analysis, two different diabetes prevention models were constructed. The research-oriented model followed accurately the DIPP protocol and the practice-oriented model was based on the estimates of a panel of experts on how the prevention would be conducted as a part of the routine healthcare in Finland. To take into account the uncertainty and variability attached to the use of resources, a Monte Carlo simulation model was utilised. The costs of the two models comprising 500 iterations each were simulated using the Monte Carlo model.
Study perspective: This study was performed from the healthcare provider’s viewpoint.
Results: The total direct costs per person of the research-oriented model were 2102 and 1676 euros (EUR) in the first and second year and those of the practice-oriented model EUR827 and EUR675, respectively (EUR1 ≈ $US1.1; 2002 values). Subsequently, the costs rose only as a result of the increased use of insulin as the children grew older. After the 15th year, when the age structure of the population in the study had stabilised, the annual direct costs per person were EUR1798 (research-oriented model) and EUR797 (practice-oriented model).
Conclusions: The costs of prevention with nasal insulin are low when compared with estimates of the annual healthcare costs of type 1 diabetes. This study suggests, with some critical assumptions (in particular, that nasal insulin is effective in the prevention of type I diabetes), that a 2 to 3-year delay in the disease onset may make prevention according to the practice-oriented model cost saving.
Literature
1.
go back to reference Kupila A, Muona P, Simell T, et al. Feasibility of genetic and immunological prediction of type I diabetes in a population-based birth cohort. Diabetologia 2001; 44: 290–7PubMedCrossRef Kupila A, Muona P, Simell T, et al. Feasibility of genetic and immunological prediction of type I diabetes in a population-based birth cohort. Diabetologia 2001; 44: 290–7PubMedCrossRef
2.
go back to reference Nejentsev S, Sjöroos M, Soukka T, et al. Population based genetic screening for type 1 diabetes mellitus risk in Finland: selective genotyping of the markers in the HLA-DQB1, HLA-DQA1 and HLA-DRB1 loci. Diabet Med 1999; 16: 985–92PubMedCrossRef Nejentsev S, Sjöroos M, Soukka T, et al. Population based genetic screening for type 1 diabetes mellitus risk in Finland: selective genotyping of the markers in the HLA-DQB1, HLA-DQA1 and HLA-DRB1 loci. Diabet Med 1999; 16: 985–92PubMedCrossRef
3.
go back to reference Rewers M, Bugawan TL, Norris JM, et al. Newborn screening for HLA markers associated-with IDDM: diabetes autoimmunity study in the young (DAISY). Diabetologia 1996; 39: 807–12PubMedCrossRef Rewers M, Bugawan TL, Norris JM, et al. Newborn screening for HLA markers associated-with IDDM: diabetes autoimmunity study in the young (DAISY). Diabetologia 1996; 39: 807–12PubMedCrossRef
4.
go back to reference Bowman MA, Leiter EH, Atkinson MA. Prevention of diabetes in the NOD mouse: implications for therapeutic intervention in human disease. Immunol Today 1994; 15: 115–20PubMedCrossRef Bowman MA, Leiter EH, Atkinson MA. Prevention of diabetes in the NOD mouse: implications for therapeutic intervention in human disease. Immunol Today 1994; 15: 115–20PubMedCrossRef
5.
6.
go back to reference Vose D. Risk analysis: a quantitative guide. 2nd ed. Chichester: John Wiley & Sons, 2001 Vose D. Risk analysis: a quantitative guide. 2nd ed. Chichester: John Wiley & Sons, 2001
7.
go back to reference Kleijnen J, van Groenendaal W. Simulation: a statistical perspective. Chichester: John Wiley & Sons, 1992 Kleijnen J, van Groenendaal W. Simulation: a statistical perspective. Chichester: John Wiley & Sons, 1992
8.
go back to reference Law AM, Kelton WD. Simulation modeling and analysis. New York: McGraw-Hill, 1982 Law AM, Kelton WD. Simulation modeling and analysis. New York: McGraw-Hill, 1982
9.
go back to reference Koopmanschap MA, Rutten FFH. The impact of indirect costs on outcomes of health care programs. Health Econ 1994; 3: 385–93PubMedCrossRef Koopmanschap MA, Rutten FFH. The impact of indirect costs on outcomes of health care programs. Health Econ 1994; 3: 385–93PubMedCrossRef
10.
go back to reference Koopmanschap MA, Rutten FFH, van Ineveld BM, et al. The friction cost method for measuring indirect costs of disease. J Health Econ 1995; 14: 171–89PubMedCrossRef Koopmanschap MA, Rutten FFH, van Ineveld BM, et al. The friction cost method for measuring indirect costs of disease. J Health Econ 1995; 14: 171–89PubMedCrossRef
11.
go back to reference Posnett J, Jan S. Indirect cost in economic evaluation: the opportunity cost of unpaid inputs. Health Econ 1996; 5: 13–23PubMedCrossRef Posnett J, Jan S. Indirect cost in economic evaluation: the opportunity cost of unpaid inputs. Health Econ 1996; 5: 13–23PubMedCrossRef
12.
go back to reference Drummond MF, Stoddart GL, Torrance GW. Methods for the economic evaluation of health care programmes. Oxford: Oxford University Press, 1987 Drummond MF, Stoddart GL, Torrance GW. Methods for the economic evaluation of health care programmes. Oxford: Oxford University Press, 1987
13.
go back to reference Luce RB, Elixhauser A. Estimating costs in the economic evaluation of medical technologies. Int J Technol Assess Health Care 1990; 6: 57–75PubMedCrossRef Luce RB, Elixhauser A. Estimating costs in the economic evaluation of medical technologies. Int J Technol Assess Health Care 1990; 6: 57–75PubMedCrossRef
14.
go back to reference Robinson R. Economic evaluation and health care: costs and cost-minimisation analysis. BMJ 1993; 307: 726–8PubMedCrossRef Robinson R. Economic evaluation and health care: costs and cost-minimisation analysis. BMJ 1993; 307: 726–8PubMedCrossRef
15.
go back to reference Heikkinen K, Hujanen T, Rusama H. Terveydenhuollon yksikkökustannukset Suomessa vuonna 2000 (Unit costs in Finnish health care in 2000) [in Finnish]. Helsinki: Stakes Aiheita, 2001 Heikkinen K, Hujanen T, Rusama H. Terveydenhuollon yksikkökustannukset Suomessa vuonna 2000 (Unit costs in Finnish health care in 2000) [in Finnish]. Helsinki: Stakes Aiheita, 2001
16.
go back to reference Turun Yliopistollinen Keskussairaala. TYKS tilastot 1999 (Turku University Central Hospital statistics, 1999) [in Finnish]. Turku: Turun Yliopistollinen Keskussairaala, 2000 Turun Yliopistollinen Keskussairaala. TYKS tilastot 1999 (Turku University Central Hospital statistics, 1999) [in Finnish]. Turku: Turun Yliopistollinen Keskussairaala, 2000
17.
go back to reference Turun Yliopistollinen Keskussairaala. Yhteenveto vuoden 1999 kustannuslaskennasta (Turku University Central Hospital, summary of year 1999 cost accounting) [in Finnish]. Turku: Turun Yliopistollinen Keskussairaala, 2000 Turun Yliopistollinen Keskussairaala. Yhteenveto vuoden 1999 kustannuslaskennasta (Turku University Central Hospital, summary of year 1999 cost accounting) [in Finnish]. Turku: Turun Yliopistollinen Keskussairaala, 2000
18.
go back to reference Palisade Corporation. @RISK advanced risk analysis for spreadsheets. Newfield: Palisade Corporation, 1996 Palisade Corporation. @RISK advanced risk analysis for spreadsheets. Newfield: Palisade Corporation, 1996
19.
go back to reference Kangas T. The consumption and direct costs of health care services among persons with diabetes in Helenski. A case controlled cross-sectional study of the fiscal year 1997 [in Finnish with an English summary]. Studies in social security and health, 67. Helenski: The Social Insurance Institution, 2002 Kangas T. The consumption and direct costs of health care services among persons with diabetes in Helenski. A case controlled cross-sectional study of the fiscal year 1997 [in Finnish with an English summary]. Studies in social security and health, 67. Helenski: The Social Insurance Institution, 2002
Metadata
Title
A Simulation Model for Estimating Direct Costs of Type 1 Diabetes Prevention
Authors
Mr Jarmo Hahl
Tuula Simell
Antti Kupila
Päivi Keskinen
Mikael Knip
Jorma Ilonen
Olli Simell
Publication date
01-04-2003
Publisher
Springer International Publishing
Published in
PharmacoEconomics / Issue 5/2003
Print ISSN: 1170-7690
Electronic ISSN: 1179-2027
DOI
https://doi.org/10.2165/00019053-200321050-00001

Other articles of this Issue 5/2003

PharmacoEconomics 5/2003 Go to the issue