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AHRQ Research Studies
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Research Studies is a compilation of published research articles funded by AHRQ or authored by AHRQ researchers.
Results
1 to 2 of 2 Research Studies DisplayedRoth JA, Ramsey SD, Carlson JJ
Cost-effectiveness of a biopsy-based 8-protein prostate cancer prognostic assay to optimize treatment decision making in Gleason 3 + 3 and 3 + 4 early stage prostate cancer.
A novel 8-protein prognostic assay generates a risk score at time of biopsy that is predictive of prostate cancer aggressiveness and can inform treatment decisions. The objective of this study was to evaluate the cost-effectiveness of using the assay to inform treatment decisions compared with usual care. The 8-protein assay strategy resulted in 0.04 more quality-adjusted life years and $700 less in costs compared with usual care.
AHRQ-funded; HS022982.
Citation: Roth JA, Ramsey SD, Carlson JJ .
Cost-effectiveness of a biopsy-based 8-protein prostate cancer prognostic assay to optimize treatment decision making in Gleason 3 + 3 and 3 + 4 early stage prostate cancer.
Oncologist 2015 Dec;20(12):1355-64. doi: 10.1634/theoncologist.2015-0214.
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Keywords: Cancer, Cancer: Prostate Cancer, Patient-Centered Outcomes Research, Healthcare Costs, Decision Making
Cantor SB, Deshmukh AA, Krahn MD
Use of forecasted assessment of quality of life to validate time-trade-off utilities and a prostate cancer screening decision-analytic model.
The researchers sought to determine whether the forecasted assessment of how someone would feel in a future health state can be predictive of utilities (e.g. as elicited by the time-trade-off method) and also predictive of optimal decisions as determined by a decision-analytic model. They concluded that anticipated difficulty adjusting to adverse health effects were highly related to preferences and could be used as a proxy measure of utility.
AHRQ-funded; HS08992.
Citation: Cantor SB, Deshmukh AA, Krahn MD .
Use of forecasted assessment of quality of life to validate time-trade-off utilities and a prostate cancer screening decision-analytic model.
Health Expect 2015 Oct;18(5):1610-20. doi: 10.1111/hex.12150.
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Keywords: Decision Making, Cancer: Prostate Cancer, Elderly, Quality of Life, Screening