Using propensity scores to estimate the cost-effectiveness of medical therapies Journal Article
| Authors: | Indurkhya, A.; Mitra, N.; Schrag, D. |
| Article Title: | Using propensity scores to estimate the cost-effectiveness of medical therapies |
| Abstract: | 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. |
| Keywords: | controlled study; aged; aged, 80 and over; major clinical study; cancer radiotherapy; outcome assessment; methodology; antineoplastic agent; medical decision making; clinical protocol; bladder cancer; urinary bladder neoplasms; health care policy; cost effectiveness analysis; financial management; health care cost; health program; medicaid; medicare; statistical analysis; data interpretation, statistical; medical research; public health service; cystectomy; scoring system; seer program; health care costs; cost-benefit analysis; mathematical analysis; propensity score; quasi experimental study; cost-effectiveness acceptability curve; incremental cost-effectiveness ratio; net monetary benefit; models, economic |
| Journal Title: | Statistics in Medicine |
| Volume: | 25 |
| Issue: | 9 |
| ISSN: | 0277-6715 |
| Publisher: | John Wiley & Sons |
| Date Published: | 2006-05-15 |
| Start Page: | 1561 |
| End Page: | 1576 |
| Language: | English |
| DOI: | 10.1002/sim.2267 |
| PUBMED: | 16158412 |
| PROVIDER: | scopus |
| DOI/URL: | |
| Notes: | --- - "Cited By (since 1996): 6" - "Export Date: 4 June 2012" - "CODEN: SMEDD" - "Source: Scopus" |
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