Ignite Creation Date:
2025-12-25 @ 2:17 AM
Ignite Modification Date:
2026-01-07 @ 10:03 PM
Study NCT ID:
NCT03367260
Status:
COMPLETED
Last Update Posted:
2019-06-27
First Post:
2017-11-20
Is NOT Gene Therapy:
True
Has Adverse Events:
False
Brief Title:
The Treatment Preferences of Women Diagnosed With Ovarian Cancer
Sponsor:
Duke University
Organization:
Study Overview
Official Title:
The Treatment Preferences of Women Diagnosed With Ovarian Cancer
Status:
COMPLETED
Status Verified Date:
2019-06
Last Known Status:
None
Delayed Posting:
No
If Stopped, Why?:
Not Stopped
Has Expanded Access:
False
If Expanded Access, NCT#:
N/A
Has Expanded Access, NCT# Status:
N/A
Acronym:
None
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.
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 Oversight
Has Oversight DMC:
False
Is a FDA Regulated Drug?:
False
Is a FDA Regulated Device?:
False
Is an Unapproved Device?:
None
Is a PPSD?:
None
Is a US Export?:
None
Is an FDA AA801 Violation?: