Sandjar Djalalov1,2,3, Linda Rabeneck4,2, George Tomlinson4,5, Karen E Bremner6, Robert Hilsden7, Jeffrey S Hoch1,2,3. 1. Centre for Excellence in Economic Analysis Research, Li Ka Shing Knowledge Institute, St. Michael's Hospital, Toronto, ON, Canada (SD, JSH) 2. Pharmacoeconomics Research Unit, Cancer Care Ontario, Toronto, ON, Canada (SD, LR, JSH) 3. Canadian Centre for Applied Research in Cancer Control (ARCC), Toronto, ON, Canada (SD, JSH). 4. Institute of Health Policy, Management and Evaluation and Department of Medicine, University of Toronto, Toronto, ON, Canada (LR, GT, JSH) 5. Department of Medicine, University Health Network/Mt. Sinai Hospital, Toronto, ON, Canada (GT) 6. Toronto General Hospital, Toronto, ON, Canada (KEB) 7. University of Calgary, Calgary, AB, Canada (RH)
Abstract
OBJECTIVE: To perform a systematic review of utility weights for colorectal cancer (CRC) health states reported in the scientific literature and to determine the effects of disease factors, patient characteristics, and utility methods on utility values. METHODS: We identified 26 articles written in English and published from January 1980 to January 2013, providing 351 unique utilities for CRC health states elicited from 6546 unique respondents. The CRC utility data were analyzed using linear mixed-effects models with CRC type, stage, time to or from initial care, utility measurement instrument, and administration method as independent variables. RESULTS: In the base case model, the estimated utility for a patient with stage I to III CRC more than 1 year after surgery, rated using a self-administered time tradeoff instrument, was 0.90. Stage, time to or from initial care, and utility measurement instrument were associated with statistically significant utility differences ranging from -0.19 to 0.02. Utilities for patients with stage IV cancer were 0.19 lower (P < 0.001) than for those with stage I to III cancer. Utilities elicited at more than 1 year after surgery were 0.05 higher than those elicited at 3 months after surgery (P = 0.008). Estimates of differences between utility measurement instruments were sensitive to how repeated scores in the same patient group were treated, and other findings were sensitive to how the disease stage was modeled and method of administration. CONCLUSIONS: Variations in reported utilities are associated with factors such as cancer stage, time to or from initial care, and utility measurement instrument. More research is needed to study why apparently similar patients report different quality of life.
OBJECTIVE: To perform a systematic review of utility weights for colorectal cancer (CRC) health states reported in the scientific literature and to determine the effects of disease factors, patient characteristics, and utility methods on utility values. METHODS: We identified 26 articles written in English and published from January 1980 to January 2013, providing 351 unique utilities for CRC health states elicited from 6546 unique respondents. The CRC utility data were analyzed using linear mixed-effects models with CRC type, stage, time to or from initial care, utility measurement instrument, and administration method as independent variables. RESULTS: In the base case model, the estimated utility for a patient with stage I to III CRC more than 1 year after surgery, rated using a self-administered time tradeoff instrument, was 0.90. Stage, time to or from initial care, and utility measurement instrument were associated with statistically significant utility differences ranging from -0.19 to 0.02. Utilities for patients with stage IV cancer were 0.19 lower (P < 0.001) than for those with stage I to III cancer. Utilities elicited at more than 1 year after surgery were 0.05 higher than those elicited at 3 months after surgery (P = 0.008). Estimates of differences between utility measurement instruments were sensitive to how repeated scores in the same patient group were treated, and other findings were sensitive to how the disease stage was modeled and method of administration. CONCLUSIONS: Variations in reported utilities are associated with factors such as cancer stage, time to or from initial care, and utility measurement instrument. More research is needed to study why apparently similar patients report different quality of life.
Authors: Michael J Zoratti; A Simon Pickard; Peep F M Stalmeier; Daniel Ollendorf; Andrew Lloyd; Kelvin K W Chan; Don Husereau; John E Brazier; Murray Krahn; Mitchell Levine; Lehana Thabane; Feng Xie Journal: Eur J Health Econ Date: 2021-04-11
Authors: Pedro Currais; Susana Mão de Ferro; Miguel Areia; Inês Marques; Alexandra Mayer; António Dias Pereira Journal: GE Port J Gastroenterol Date: 2021-02-09
Authors: Jason J Ong; Christopher K Fairley; Susan Carroll; Sandra Walker; Marcus Chen; Tim Read; Andrew Grulich; Catriona Bradshaw; John Kaldor; Philip Clarke Journal: J Int AIDS Soc Date: 2016-03-01 Impact factor: 5.396