A REVIEW AND META-ANALYSIS OF COLORECTAL CANCER UTILITIES

Monday, October 25, 2010
Sheraton Hall E/F (Sheraton Centre Toronto Hotel)
Sandjar Djalalov, PhD, St. Michael's Hospital, Toronto, ON, Canada, George Tomlinson, PhD, University of Toronto, Toronto, ON, Canada and Jeffrey Hoch, PhD, Cancer Care Ontario, Toronto, ON, Canada

Purpose: To perform a systematic review of the literature on the utility weights for colorectal cancer (CRC) health states; to determine the effects of study characteristics and role of “time to/from initial care” on utility values.

Method: In a systematic review we identified 22 articles in English, providing 171 unique utilities for CRC health states elicited from 3574 respondents. Some utilities were estimated from SF-36 scores. Data were analyzed using Linear Mixed-Effects with CRC cancer type, condition, stage, time to/from initial care, instrument, administration and study design as independent variables.  

Result: In the base model, the estimated utility of the reference case (scenario of a stage I/II CRC patient in continuous care, more than 1 year post-operation, rated by using EQ5D/HUI3) was 0.75. Cancer type, condition, stages, time to/from initial care, instruments and study design were associated with utility differences of 0.06 to 0.13 (P < 0.05). Utilities derived by using the EQ5D/HUI3 instruments were 0.07 lower than EQ5Dvas and 0.12 lower than SF-36 (P < 0.05) in the base model. Utilities for I/II stage were 0.13 (P < 0.05) higher than stage VI and 0.13 (P = 0.05) lower than Dukes stages. Utilities elicited at “post-operation more than 1 year” were 0.08 (P < 0.05) less than “preoperative” and 0.06 (P < 0.05) lower than “post-operation 3 months” in the base model.

Conclusion: The review of utility values for CRC shows few quality of life studies for surveillance and terminal care health states.  This has the potential to introduce uncertainty in the cost-effectiveness analysis results. Utilities are associated with factors such as cancer type, time to/from initial care and utility derivation instruments. More research is needed to study why “similar” patients appear to have different quality of life.