Use of forecasted assessment of quality of life to validate time‐trade‐off utilities and a prostate cancer screening decision‐analytic model
Bibliographic Data
| ID | 19508775 |
|---|---|
| Authors | Scott B Cantor (0000-0002-7072-6048, Department of Health Services Research The University of Texas MD Anderson Cancer Center Houston TX USA, corresponding author), Ashish A Deshmukh (0000-0001-8936-8108, Department of Health Services Research The University of Texas MD Anderson Cancer Center Houston TX USA), Murray Krahn (0000-0001-5836-397X, Toronto General Hospital), Murray D Krahn (The Toronto Hospital Toronto ON Canada), Robert J Volk (0000-0001-8811-5854, Department of General Internal Medicine The University of Texas MD Anderson Cancer Center Houston TX USA) |
| Year | 2015 |
| Volume | 18 |
| Issue | 5 |
| Pages | 1610-1620 |
| Publication date | 2015-10-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Health Expectations (JOURNAL) |
| Journal identifiers | ISSN: 1369-6513 • E-ISSN: 1369-7625 |
| Publisher | Wiley (PUBLISHER • GB) |
| DOI | 10.1111/hex.12150 |
| PMID | 26039695 |
| OpenAlex | W2096716036 |
| Language | EN |
| References cited | 19 |
PURPOSE: 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. METHODS: We elicited time-trade-off utilities for prostate cancer treatment outcomes from 168 men. We also elicited forecasted assessments, that is, an informal, non-quantitative, descriptive evaluation, of impotence and incontinence from these men. We used multivariate regression analysis to explore the relationship between forecasted assessment and reluctance to trade length for improved quality of life, that is, the unwillingness to trade length of life for improved quality of life in the time-trade-off utility assessment and the relationship between the forecasted assessments and the optimal decision of whether to undergo screening for prostate cancer as determined from a previously published decision-analytic model. RESULTS: Importance of sexual function was strongly related to impotence utilities (P < 0.05). Based on the multivariate analysis, significant predictors for the utility of severe incontinence were family income, family history of prostate cancer, work status and attitude towards needing to wear an incontinence pad. However, no variables were statistically significant predictors for the utility of complete impotence. The importance of sexual functioning was a significant predictor of the optimal decision. CONCLUSION: Anticipated difficulty adjusting to adverse health effects were highly related to preferences and could be used as a proxy measure of utility. Similarly, the importance of sexual functioning, a future preference, was highly related to the optimal decision, which validates our previously published decision-analytic model
Actuarial science · Cancer · Decision analysis · Economics · Machine learning · Multivariate analysis · Multivariate statistics · Preference · Prostate cancer · Sexual function · Statistics · Cancer survivorship and care · Computer Science · Health Systems, Economic Evaluations, Quality of Life · Mathematics · Medicine · Nursing · Prostate Cancer Diagnosis and Treatment · Psychology
| Highly cited | No |
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