Ovarian Cancer Clinical Trial
Official title:
The Treatment Preferences of Women Diagnosed With Ovarian Cancer
The primary objective of this study is to apply best-practice stated-preference methods to quantify the extent to which women with ovarian cancer accept the risks, side effects, and out-of-pocket costs associated with treatment in return for progression-free survival benefit afforded by a treatment, regardless of whether there is an overall survival benefit.
The investigators propose to perform a preferences survey to be administered to women with
ovarian cancer.The investigators anticipate that about 1/3 of the study cohort will include
patients who are receiving treatment with an oral ADP-ribose polymerase inhibitors (PARPi).
The investigators will begin by conducting interviews with 5 pilot subjects as they test the
preferences survey. Based on their feedback the survey may be updated for clarity. During the
final survey phase, subjects will be recruited and invited to participate in the choice
experiment by Biologics, Inc., a specialty pharmacy company that dispenses oral PARPis.
Subjects may also be recruited through ResearchMatch.org and at the Gynecologic Oncology
division at Duke. Up to 300 women may be included in this study, at least 100 women will have
received treatment with a PARPi.
Discrete choice experiment (DCE) questions generate limited dependent-variable,
cross-section/time-series data. The study team will use random-parameters logit (RPL) to
analyze the choice-format conjoint data collected in the DCE survey. Unobserved variation in
preferences across the sample can bias estimates in conventional conditional-logit choice
models. RPL avoids this potential bias by estimating a distribution of preferences around
each model parameter that accounts for variations among individual preferences not accounted
for by the variables in the model. The flexible correlation structure of RPL also accounts
for within-sample correlation in the question sequence for each respondent.
There are no physical risks to subject participation in this survey protocol.
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