OBJECTIVE: Our study estimated the cost-effectiveness of pharmacologic treatment of obesity in combination with a low-calorie diet in The Netherlands. METHODS: Costs and effects of a low-calorie diet-only intervention and of a low-calorie diet in combination with 1 year of orlistat were compared to no treatment. The RIVM Chronic Disease Model was used to project the differences in quality adjusted life years (QALYs) and lifetime health-care costs because of the effects of the interventions on body mass index (BMI) status. This was done by linking BMI status to the occurrence of obesity-related diseases and by relating quality of life to disease status. Probabilistic sensitivity analysis was employed to study the effect of uncertainty in the model parameters. In univariate sensitivity analysis, we assessed how sensitive the results were to several key assumptions. RESULTS: Incremental costs per QALY gained were Euro 17,900 for the low-calorie diet-only intervention compared to no intervention and Euro 58,800 for the low-calorie diet + orlistat compared to the low-calorie diet only. Assuming a direct relation between BMI and quality of life, these ratios decreased to Euro 6000 per QALY gained and Euro 24,100 per QALY gained. Costs per QALY gained were also sensitive to assumptions about long-term weight loss maintenance. CONCLUSIONS: Cost-effectiveness ratios of interventions aiming at weight reduction depend strongly on assumptions regarding the relation between BMI and quality of life. We recommend that a low-calorie diet should be the first option for policymakers in combating obesity.
OBJECTIVE: Our study estimated the cost-effectiveness of pharmacologic treatment of obesity in combination with a low-calorie diet in The Netherlands. METHODS: Costs and effects of a low-calorie diet-only intervention and of a low-calorie diet in combination with 1 year of orlistat were compared to no treatment. The RIVM Chronic Disease Model was used to project the differences in quality adjusted life years (QALYs) and lifetime health-care costs because of the effects of the interventions on body mass index (BMI) status. This was done by linking BMI status to the occurrence of obesity-related diseases and by relating quality of life to disease status. Probabilistic sensitivity analysis was employed to study the effect of uncertainty in the model parameters. In univariate sensitivity analysis, we assessed how sensitive the results were to several key assumptions. RESULTS: Incremental costs per QALY gained were Euro 17,900 for the low-calorie diet-only intervention compared to no intervention and Euro 58,800 for the low-calorie diet + orlistat compared to the low-calorie diet only. Assuming a direct relation between BMI and quality of life, these ratios decreased to Euro 6000 per QALY gained and Euro 24,100 per QALY gained. Costs per QALY gained were also sensitive to assumptions about long-term weight loss maintenance. CONCLUSIONS: Cost-effectiveness ratios of interventions aiming at weight reduction depend strongly on assumptions regarding the relation between BMI and quality of life. We recommend that a low-calorie diet should be the first option for policymakers in combating obesity.
Authors: Pieter H M van Baal; Albert Wong; Laurentius C J Slobbe; Johan J Polder; Werner B F Brouwer; G Ardine de Wit Journal: Pharmacoeconomics Date: 2011-03 Impact factor: 4.981
Authors: Steven L Gortmaker; Boyd A Swinburn; David Levy; Rob Carter; Patricia L Mabry; Diane T Finegood; Terry Huang; Tim Marsh; Marjory L Moodie Journal: Lancet Date: 2011-08-27 Impact factor: 79.321
Authors: A G Tsai; T A Wadden; S Volger; D B Sarwer; M Vetter; S Kumanyika; R I Berkowitz; L K Diewald; J Perez; J Lavenberg; E R Panigrahi; H A Glick Journal: Int J Obes (Lond) Date: 2013-08 Impact factor: 5.095
Authors: Nicholas Graves; Adrian G Barnett; Kate A Halton; Jacob L Veerman; Elisabeth Winkler; Neville Owen; Marina M Reeves; Alison Marshall; Elizabeth Eakin Journal: PLoS One Date: 2009-09-25 Impact factor: 3.240