Description Module
The Description Module contains narrative descriptions of the clinical trial, including a brief summary and detailed description. These descriptions provide important information about the study's purpose, methodology, and key details in language accessible to both researchers and the general public.
Description Module path is as follows:
Study -> Protocol Section -> Description Module
Description Module
Ignite Creation Date:
2025-12-25 @ 2:17 AM
Ignite Modification Date:
2025-12-25 @ 2:17 AM
NCT ID:
NCT03367260
Brief Summary:
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.
Detailed Description:
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.
Study:
NCT03367260
Study Brief:
Protocol Section:
NCT03367260