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Using propensity scores to estimate the cost–effectiveness of medical therapies
Author(s) -
Indurkhya Alka,
Mitra Nandita,
Schrag Deborah
Publication year - 2005
Publication title -
statistics in medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.996
H-Index - 183
eISSN - 1097-0258
pISSN - 0277-6715
DOI - 10.1002/sim.2267
Subject(s) - propensity score matching , cost effectiveness , randomized controlled trial , statistic , econometrics , computer science , medicine , actuarial science , statistics , economics , risk analysis (engineering) , mathematics , surgery
The cost–effectiveness ratio is a popular statistic that is used by policy makers to decide which programs are cost–effective in the public health sector. Recently, the net monetary benefit has been proposed as an alternative statistical summary measure to overcome the limitations associated with the cost–effectiveness ratio. Research on using the net monetary benefit to assess the cost–effectiveness of therapies in non‐randomized studies has yet to be done. Propensity scores are useful in estimating adjusted effectiveness of programs that have non‐randomized or quasi‐experimental designs. This article introduces the use of propensity score adjustment in cost–effectiveness analyses to estimate net monetary benefits for non‐randomized studies. The uncertainty associated with the net monetary benefit estimate is evaluated using cost–effectiveness acceptability curves. Our method is illustrated by applying it to SEER‐Medicare data for muscle invasive bladder cancer to determine the most cost–effective treatment protocol. Copyright © 2005 John Wiley & Sons, Ltd.