Conjoint analysis of a new Chemotherapy: willingness to pay and preference for the features of raltitrexed versus standard therapy in advanced Colorectal Cancer.
OBJECTIVE
To estimate the willingness to pay for a new chemotherapy, raltitrexed (Tomudex trade mark ) over conventional therapy with fluorouracil plus leucovorin (FU-LV) from the perspective of patients with advanced colorectal cancer. The study was part of the product's reimbursement application in Australia.


METHODS
The key differences relevant to patients between the two therapies, frequency of administration and severity of mouth ulceration, were used to develop a self-administered questionnaire. A relatively new technique to healthcare, that of conjoint analysis (CA), was used to estimate willingness to pay and strength of preference. A discrete choice CA was used. Analysis was via a logit model with adjustment for the cluster effect (or intra-patient correlation).


METHODS
Oncology nurses served as proxies for patients with advanced colorectal cancer.


RESULTS
The participation rate was 87% (62/71) with questionnaires from 56 respondents eligible for analysis. The CA method generated a mean incremental willingness to pay of 745 Australian dollars (dollar A; dollars US 507) per cycle of chemotherapy, comprising dollars A 550 (dollars US 374) and dollars A 195 (dollars US 133) for the toxicity and administration improvements, respectively (1998 values). Both features were related to preference with independent odds of 6.87 and 1.98, respectively, however only the toxicity attribute was a significantly related to preference. Subscription to private health insurance was the only significant demographic predictor identified, however, the homogeneous income structure of the respondents seems likely to have masked any significant income effect.


CONCLUSIONS
This study highlights the advantages of using CA in healthcare, where new therapies or treatments are often composed of a number of attributes. The CA allows both strength of preference and willingness to pay for individual treatment attributes to be estimated and can be used to assign statistical significance to these parameters.
Aristides
Mike
M
M-TAG Pty Ltd, Sydney, New South Wales, Australia. maristides@m-tag.net
Chen
Jack
J
Schulz
Mark
M
Williamson
Eve
E
Clarke
Stephen
S
Grant
Kaye
K
D000328:Adult; D000964:Antimetabolites, Antineoplastic / Q000009:adverse effects / Q000191:economics* / Q000627:therapeutic use*; D001315:Australia; D015179:Colorectal Neoplasms / Q000188:drug therapy* / Q000191:economics*; D003625:Data Collection; D005260:Female; D006801:Humans; D008297:Male; D008875:Middle Aged; D018803:Models, Economic; D011799:Quinazolines / Q000009:adverse effects / Q000191:economics* / Q000627:therapeutic use*; D011795:Surveys and Questionnaires; D013876:Thiophenes / Q000009:adverse effects / Q000191:economics* / Q000627:therapeutic use*
D000964:Antimetabolites, Antineoplastic; D011799:Quinazolines; D013876:Thiophenes; C068874:raltitrexed