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Molecular Analysis for Gastro-Esophageal Cancer: Multicenter Discrete Choice Experiment

Not Applicable
Recruiting
Conditions
Esophageal Cancer
Gastric 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
Inclusion Criteria
  1. Individuals >18yo to 75yo (upper age limit of Barrett's surveillance)
  2. Access to computer or smartphone
  3. Clear understanding of available languages of the experiment (English, French, Dutch, Spanish, German, Chinese, Japanese)
Exclusion Criteria
  1. Individuals less than 18yo and more than 75yo
  2. Incarcerated individuals

Study & Design

Study Type
INTERVENTIONAL
Study Design
SINGLE_GROUP
Arm && Interventions
GroupInterventionDescription
Survey participantsSurveyParticipants who will complete a survey investigating their preference for diagnosis and assessment of gastro-esophageal cancer
Primary Outcome Measures
NameTimeMethod
The percentage differences in preference of participants between geographical regions2 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 participants2 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
NameTimeMethod
Assess the rate of trade-off demonstrated as odds ratio between cancer-related mortality reduction and costs2 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 ratio2 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

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