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Understanding Information Preferences, Risk Perceptions, and Tradeoffs When Making Decisions About Multi-cancer Early Detection Tests
Sponsor: Trustees of Dartmouth College
Summary
The goal of this clinical trial is to learn what people's informational preferences and risk perceptions are in regards to the use of multi-cancer early detection (MCED) tests. Participants will be asked to review three informational factors about MCED tests and complete a survey about their intentions to use an MCED test. Some participants will also be asked to complete an interview.
Official title: Investigating Information Preferences, Risk Perceptions, and Tradeoffs in Multi-Cancer Early Detection Decisions: A Randomized Vignette Trial
Key Details
Gender
All
Age Range
40 Years - 74 Years
Study Type
INTERVENTIONAL
Enrollment
3000
Start Date
2027-09
Completion Date
2029-07
Last Updated
2026-08-28
Healthy Volunteers
No
Conditions
Interventions
Test Performance Information: High Detail
The test performance data presented in the vignette will focus on established evidentiary standards for the evaluation of screening tests: Sensitivity, specificity, positive and negative predictive values, and the ability of tests to find specific cancers and more early-stage cancers. The high numerical detail condition will utilize these numbers and present them according to the decision aid criteria for presenting treatment option data and addressing health literacy.
Test Performance Information: Low Detail
The low numerical detail condition will describe the potential for false positives and use descriptions to denote qualitatively performance (high, acceptable, moderate, low). The test performance data presented in the vignette will focus on established evidentiary standards for the evaluation of screening tests: Sensitivity, specificity, positive and negative predictive values, and the ability of tests to find specific cancers and more early-stage cancers.
Diagnostic Workup Information: High Detail
The high numerical data will use diagnostic workup data from the most up-to-date findings at the time of survey fielding. Data will be presented on the number of positive tests, follow up included (type and properties of tests), likelihood of receiving each type of test upon a positive findings, and data on median length of time to diagnostic resolution for both true positives and false positives.
Diagnostic Workup Information: Low Detail
The low numerical detail condition will describe the possibility of further testing (more blood tests, imaging, and/or procedures) that may be required if the multi-cancer early detection (MCED) test has a positive finding, in line with prior studies communicating about MCED test workup.
Test and Workup Cost Information: High Detail
Cost estimates will include insurance and out of pocket costs associated with various pathways of diagnostic workup. The investigators will use test cost estimates based on market rates and insurance coverage mandates at the time of fielding the survey. The high numerical data condition will provide precise estimates conditioned on level of workup and insurance coverage. As above, the final content will be informed by new information that may be gleaned from ongoing studies.
Test and Workup Cost Information: Low Detail
The low numerical data will provide broad ranges of diagnostic costs, indicating what costs are covered by insurance, and which are not.
Locations (1)
Dartmouth College
Lebanon, New Hampshire, United States