Molecular Analysis for Gastro-Esophageal Cancer: Multicenter Discrete Choice Experiment
- Conditions
- Esophageal CancerGastric Cancer
- Interventions
- Other: Survey
- Registration Number
- NCT06346080
- Lead Sponsor
- KU Leuven
- 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.
- Detailed Description
Not available
Recruitment & Eligibility
- Status
- RECRUITING
- Sex
- All
- Target Recruitment
- 2200
- 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)
- Individuals less than 18yo and more than 75yo
- Incarcerated individuals
Study & Design
- Study Type
- INTERVENTIONAL
- Study Design
- SINGLE_GROUP
- Arm && Interventions
Group Intervention Description Survey participants Survey Participants who will complete a survey investigating their preference for diagnosis and assessment of gastro-esophageal cancer
- Primary Outcome Measures
Name Time Method The percentage differences in preference of participants between geographical regions 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 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 Outcome Measures
Name Time Method Assess the rate of trade-off demonstrated as odds ratio between cancer-related mortality reduction and costs 2 years Based on an anticipated cancer detection and cost, we will assess the willingness-to-pay using a multivariable logistic regression, providing odds ratios.
Assess the rate patient-level demographics influence the importance of a test feature, expressed as an odds ratio 2 years Assess the influence of demographic characteristics on the decision-making process using a multivariable logistic regression model, providing odds ratios.
Trial Locations
- Locations (1)
University Hospitals Leuven
🇧🇪Leuven, Belgium