June 2013
Volume 54, Issue 15
Free
ARVO Annual Meeting Abstract  |   June 2013
Optimizing cost-effectiveness analyses of treatments for neovascular age-related macular degeneration using real-life data
Author Affiliations & Notes
  • Robert Finger
    Ophthalmology, Centre for Eye Research Australia, Melbourne, VIC, Australia
    Ophthalmology, University of Bonn, Bonn, Germany
  • Arthur Hsueh
    Ophthalmology, Centre for Eye Research Australia, Melbourne, VIC, Australia
  • Jill Keeffe
    Ophthalmology, Centre for Eye Research Australia, Melbourne, VIC, Australia
  • Robyn Guymer
    Ophthalmology, Centre for Eye Research Australia, Melbourne, VIC, Australia
  • Footnotes
    Commercial Relationships Robert Finger, None; Arthur Hsueh, None; Jill Keeffe, Novartis (F); Robyn Guymer, Novartis Advisory board (C), Bayer Advisory Board (C), Novartis (R)
  • Footnotes
    Support None
Investigative Ophthalmology & Visual Science June 2013, Vol.54, 4388. doi:
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      Robert Finger, Arthur Hsueh, Jill Keeffe, Robyn Guymer; Optimizing cost-effectiveness analyses of treatments for neovascular age-related macular degeneration using real-life data. Invest. Ophthalmol. Vis. Sci. 2013;54(15):4388.

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      © ARVO (1962-2015); The Authors (2016-present)

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Abstract

Purpose: To assess cost-effectiveness (CE) of anti-VEGF treatment for neovascular age-related macular degeneration (nv AMD) from a healthcare payer’s perspective, using long-term data from routine medical practice in Australia.

Methods: 200 patients undergoing long-term (>1 year) anti-VEGF treatment for nvAMD were included and costs for services assigned based on Medicare Australia rebates. Three Markov models (MM) were created to reflect impact of anti-VEGF treatment on 1. better eye and 2. treated eye VA and 3. vision states combining both eye VA using TreeAge software, based on our real life data. Vision-related utilities were based on a large (n>1300) reference sample interviewed using the Vision and Quality of Life multi-attribute utility instrument. Costs and rewards were discounted at 3.5%/year and final results tested in probabilistic sensitivity analyses.

Results: Mean treatment duration was 37 (±13) months and mean injections were 21(±11;7 in year 1-3, 6 in year 4, 5 in year 5). VA in the treated eye improved from baseline to last follow-up (+7 ltrs; 49 to 56 ltrs, p<0.001) and remained stable in the better eye (-3 ltrs; 66 to 63 ltrs, p=0.001). 40% of patients were treated in both eyes during year 1, and 50% by year 5. Treatment costs were highest in the first year (A$18,296 ± 7,991), and lower for uniocular (A$16,123±6,757) than for binocular treatment ($21,487±8,610). Based on these data MMs ran for 5 years, with all treatment assumed to be with ranibizumab (A$ 1976.36). Cost-effectiveness was A$17,155/QALY for better eye, 17,812/QALY for treated eye and 17,243/QALY for both eye vision state models, with the both eye vision state MM generating most QALYs (1.80 compared to 1.74 in MM1 and 1.70 in MM2).

Conclusions: All modeling approaches arrived at CE estimates well below the cut-off of $50,000/QALY commonly accepted to be cost-effective. Using treated eye VA led to a low estimate of treatment effects and high costs, whereas using better eye VA led to a medium estimate of treatment effect and the lowest cost. Using both eyes’ VA (in vision states) most accurately reflects clinical reality with a necessity to treat both eyes in a considerable proportion of patients and led to the highest estimate of treatment impact with a medium cost estimate. Economic evaluations of bilateral ocular disease and its treatments should take both eyes’ VA into account.

Keywords: 412 age-related macular degeneration • 460 clinical (human) or epidemiologic studies: health care delivery/economics/manpower  
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