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Clare L Gillies, lecturer in medical statistics 1, Paul C Lambert, senior lecturer in medical statistics1, Keith R Abrams, professor of medical statistics1, Alex J Sutton, reader in medical statistics1, Nicola J Cooper, MRC training fellow in health services research1, Ron T Hsu, senior clinical teaching fellow in epidemiology and public health1, Melanie J Davies, professor of diabetes medicine2, Kamlesh Khunti, professor of primary care diabetes and vascular medicine3
1 Centre for Biostatistics and Genetic Epidemiology, Department of Health Sciences, University of Leicester, Leicester LE1 7RH, 2 Department of Cardiovascular Sciences, University of Leicester, 3 Division of General Practice and Primary Health Care, Department of Health Sciences, University of Leicester
Correspondence to: C L Gillies clg13{at}le.ac.uk
Design Cost effectiveness analysis based on development and evaluation of probabilistic, comprehensive economic decision analytic model, from screening to death.
Setting A hypothetical population, aged 45 at time of screening, with above average risk of diabetes.
Data sources Published clinical trials and epidemiological studies retrieved from electronic bibliographic databases; supplementary data obtained from the Department of Health statistics for England and Wales, the screening those at risk (STAR) study, and the Leicester division of the ADDITION study.
Methods A hybrid decision tree/Markov model was developed to simulate the long term effects of each screening strategy, in terms of both clinical and cost effectiveness outcomes. The base case model assumed a 50 year time horizon with discounting of both costs and benefits at 3.5%. Sensitivity analyses were carried out to investigate assumptions of the model and to identify which model inputs had most impact on the results.
Results Estimated costs for each quality adjusted life year (QALY) gained (discounted at 3.5% a year for both costs and benefits) were £14 150 (
17 560; $27 860) for screening for type 2 diabetes, £6242 for screening for diabetes and impaired glucose tolerance followed by lifestyle interventions, and £7023 for screening for diabetes and impaired glucose tolerance followed by pharmacological interventions, all compared with no screening. At a willingness-to-pay threshold of £20 000 the probability of the intervention being cost effective was 49%, 93%, and 85% for each of the active screening strategies respectively.
Conclusions Screening for type 2 diabetes and impaired glucose tolerance, with appropriate intervention for those with impaired glucose tolerance, in an above average risk population aged 45, seems to be cost effective. The cost effectiveness of a policy of screening for diabetes alone, which offered no intervention to those with impaired glucose tolerance, is still uncertain.
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