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# When does quality-adjusting life-years matter in cost-effectiveness analysis?

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When does quality-adjusting life-years matter in cost-effectiveness analysis?

Posted on February 1, 2010

2010-02-01 03:24:47

Authors: Chapman RH, Berger M, Weinstein MC, Weeks JC, Goldie S, Neumann PJ

Health economics 2004 13(5): 429-436 PubmedID: 221495000000 ISSN/ISBN: 1057-9230 DOI: 10.1002/hec.853

Purpose: This paper investigates the impact of quality-of-life adjustment on cost-effectiveness analyses, by comparing ratios from published studies that have reported both incremental costs per (unadjusted) life-year and per quality-adjusted life-year for the same intervention. Methods: A systematic literature search identified 228 original cost-utility analyses published prior to 1998. Sixty-three of these analyses (173 ratio pairs) reported both cost/LY and cost/QALY ratios for the same intervention, from which we calculated medians and means, the difference between ratios (cost/LY minus cost/ QALY) and between reciprocals of the ratios, and cost/LY as a percentage of the corresponding cost/QALY ratio. We also compared the ratios using rank-order correlation, and assessed the frequency with which quality-adjustment resulted in a ratio crossing the widely used cost-effectiveness thresholds of $20000, $50000, and $100000/QALY or LY. Results: The mean ratios were $69100/LY and $103100/QALY, with corresponding medians of $24600/LY and $20400/QALY. The mean difference between ratios was approximately -$34300 (median difference: $1300), with 60% of ratio pairs differing by $10000/year or less. Mean difference between reciprocals was 59 (QA)LYs per million dollars (median: 2.1). The Spearman rank-order correlation between ratio types was 0.86 (p<0.001). Quality-adjustment led to a ratio moving either above or below $50000/LY (or QALY) in 8% of ratio pairs, and across 100000 in 6% of cases. Conclusions: In a sizable fraction of cost utility analyses, quality adjusting did not substantially alter the estimated cost-effectiveness of an intervention, suggesting that sensitivity analyses using ad hoc adjustments or 'off-the-shelf' utility weights may be sufficient for many analyses. The collection of preference weight data should be subjected to the same scrutiny as other data inputs to cost-effectiveness analyses, and should only be undertaken if the value of this information is likely to be greater than the cost of obtaining it. Copyright (C) 2004 John Wiley Sons, Ltd.