Molecular Analysis for Gastro-Esophageal Cancer: Multicenter Discrete Choice Experiment
Overview
- Phase
- Not Applicable
- Intervention
- Survey
- Conditions
- Esophageal Cancer
- Sponsor
- KU Leuven
- Enrollment
- 2200
- Locations
- 1
- Primary Endpoint
- The percentage differences in preference of participants between geographical regions
- Status
- Recruiting
- Last Updated
- 2 months ago
Overview
Brief Summary
The goal of this survey is to investigate the participants' preference for a specific screening/diagnostic tool to detect and assess gastro-esophageal cancer.
The main question it aims to answer are:
- Which diagnostic modality is preferred by patients and the general population?
- Which features of the diagnostic test are most detrimental in the decision-making for one or the other modality?
- Are geographical differences present in regard to the preference for a diagnostic modality?
Participants will be asked to complete a survey of 20-25min, including a brief intake regarding their socio-economic status. This approach will allow us to correct for confounding factors.
Investigators
Stijn Vanstraelen
Principal investigator
KU Leuven
Eligibility Criteria
Inclusion Criteria
- •Individuals \>18yo to 75yo (upper age limit of Barrett's surveillance)
- •Access to computer or smartphone
- •Clear understanding of available languages of the experiment (English, French, Dutch, Spanish, German, Chinese, Japanese)
Exclusion Criteria
- •Individuals less than 18yo and more than 75yo
- •Incarcerated individuals
Arms & Interventions
Survey participants
Participants who will complete a survey investigating their preference for diagnosis and assessment of gastro-esophageal cancer
Intervention: Survey
Outcomes
Primary Outcomes
The percentage differences in preference of participants between geographical regions
Time Frame: 2 years
Differences in preferences will be compared between different geographical regions using chi-squared or McNemar's test
The rate of contribution of diagnostic features to the preference of participants
Time Frame: 2 years
A part-worth analysis, expressed as percentage, from a discrete choice experiment (questionnaire) will assess the features that are most important to the participants
Secondary Outcomes
- Assess the rate of trade-off demonstrated as odds ratio between cancer-related mortality reduction and costs(2 years)
- Assess the rate patient-level demographics influence the importance of a test feature, expressed as an odds ratio(2 years)