© 2004 BMJ Publishing Group Ltd
VALUE BASED OPHTHALMOLOGY
Cost effectiveness of treatment for amblyopia: an analysis based on a probabilistic Markov model
1 Health Economics Research Unit, Department of Psychiatry, University of Leipzig, Johannisallee 20, D-04317 Leipzig, Germany
2 Department of Ophthalmology II, University Eye Hospital Tübingen, Schleichstrasse 12-16, D-72076 Tübingen, Germany
Correspondence to:
Correspondence to:
Professor Dr Hans-Helmut König
University of Leipzig, Health Economics Research Unit, Department of Psychiatry, Johannisallee 20, D-04317 Leipzig, Germany; koenig{at}aya.yale.edu
Aims: To estimate the long term cost effectiveness of treatment for amblyopia in 3 year old children.
Methods: A cost utility analysis was performed using decision analysis including a Markov state transition model. Incremental costs and effects during the childrens remaining lifetime were estimated. The model took into account the costs and success rate of treatment as well as effects of unilateral and bilateral visual impairment caused by amblyopia and other eye diseases coming along later in life on quality of life (utility). Model parameter values were obtained from the literature, and from a survey of experts. For the utility of unilateral visual impairment a base value of 0.96 was assumed. Costs were estimated from a third party payer perspective for the year 2002 in Germany. Costs and effects were discounted at 3%. Uncertainty was assessed by univariate and probabilistic sensitivity analysis (Monte-Carlo simulation).
Results: The incremental cost effectiveness ratio (ICER) of treatment was
2369 per quality adjusted life year (QALY). In univariate sensitivity analysis the ICER was most sensitive to uncertainty concerning the utility of unilateral visual impairmentfor example, if this utility was 0.99, the ICER would be
9148/QALY. Monte-Carlo simulation yielded a 95% uncertainty interval for the ICER of
710/QALY to
38 696/QALY; the probability of an ICER smaller than
20 000/QALY was 95%.
Conclusion: Treatment for amblyopia is likely to be very cost effective. Much of the uncertainty in results comes from the uncertainty regarding the effect of amblyopia on quality of life. In order to reduce this uncertainty the impact of amblyopia on utility should be investigated.
Keywords: amblyopia; cost effectiveness; decision modelling; Markov process; children
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