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Understanding Information Preferences, Risk Perceptions, and Tradeoffs When Making Decisions About Multi-cancer Early Detection Tests

26. august 2026 opdateret af: Christine M. Gunn, Trustees of Dartmouth College

Investigating Information Preferences, Risk Perceptions, and Tradeoffs in Multi-Cancer Early Detection Decisions: A Randomized Vignette Trial

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.

Studieoversigt

Status

Ikke rekrutterer endnu

Betingelser

Intervention / Behandling

Detaljeret beskrivelse

This is a clinical trial using a randomized vignette design where the vignette sequentially introduces 3 information factors to participants. This allows for the effect of each informational factor to be tested in the context of the preceding sequence of factors. In this study, the investigators will deliver the vignette in three phases, varying the level of detail of one factor in each phase, resulting in 8 combinations of study conditions. Participants will be randomly assigned to these conditions and repeated measures of outcomes of interest will be derived from survey assessments conducted after each informational factor is presented. At the end of trial participation, respondents will be invited to participate in one qualitative interview lasting 30-45 minutes.

Undersøgelsestype

Interventionel

Tilmelding (Anslået)

3000

Fase

  • Ikke anvendelig

Kontakter og lokationer

Dette afsnit indeholder kontaktoplysninger for dem, der udfører undersøgelsen, og oplysninger om, hvor denne undersøgelse udføres.

Studiekontakt

Studiesteder

Deltagelseskriterier

Forskere leder efter personer, der passer til en bestemt beskrivelse, kaldet berettigelseskriterier. Nogle eksempler på disse kriterier er en persons generelle helbredstilstand eller tidligere behandlinger.

Berettigelseskriterier

Aldre berettiget til at studere

  • Voksen
  • Ældre voksen

Tager imod sunde frivillige

Ingen

Beskrivelse

Inclusion Criteria:

  • Aged 40-74
  • Speak English or Spanish

Exclusion Criteria:

  • Prior diagnosis of cancer (with the exception of non-melanoma skin cancers)
  • Previous use of a Multi-Cancer Early Detection (MCED) test.

Studieplan

Dette afsnit indeholder detaljer om studieplanen, herunder hvordan undersøgelsen er designet, og hvad undersøgelsen måler.

Hvordan er undersøgelsen tilrettelagt?

Design detaljer

  • Primært formål: Sundhedstjenesteforskning
  • Tildeling: Randomiseret
  • Interventionel model: Faktoriel opgave
  • Maskning: Enkelt

Våben og indgreb

Deltagergruppe / Arm
Intervention / Behandling
Eksperimentel: Arm 1: High, High, High
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.
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.
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.
Eksperimentel: Arm 2: High, High, 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. 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.
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.
The low numerical data will provide broad ranges of diagnostic costs, indicating what costs are covered by insurance, and which are not.
Eksperimentel: Arm 3: High, Low, 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. 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.
The low numerical data will provide broad ranges of diagnostic costs, indicating what costs are covered by insurance, and which are not.
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.
Eksperimentel: Arm 4: High, Low, High
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.
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.
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.
Eksperimentel: Arm 5: Low, High, High
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.
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.
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.
Eksperimentel: Arm 6: Low, Low, High
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.
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.
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.
Eksperimentel: Arm 7: Low, High, Low
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.
The low numerical data will provide broad ranges of diagnostic costs, indicating what costs are covered by insurance, and which are not.
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.
Eksperimentel: Arm 8: Low, Low, Low
The low numerical data will provide broad ranges of diagnostic costs, indicating what costs are covered by insurance, and which are not.
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.
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.

Hvad måler undersøgelsen?

Primære resultatmål

Resultatmål
Foranstaltningsbeskrivelse
Tidsramme
Decisional Conflict
Tidsramme: 24 hours
A validated 10-item scale scored 0-100 that assesses decisional conflict using a 3-point Likert for each item; Includes 4 subscales: informed, uncertainty, values clarity, and support. The full scale will be administered after the third vignette is presented (Time 3).
24 hours

Sekundære resultatmål

Resultatmål
Foranstaltningsbeskrivelse
Tidsramme
Screening Intentions
Tidsramme: 24 hours
Validated 2 item measure including 1-item measuring intentions on 100 point scale and 1 decision question (yes/no/unsure). This will be assessed at the end of each vignette (Time 1, 2, 3).
24 hours
Informed Subscale of the Decisional Conflict Scale
Tidsramme: 24 hours
3 Items from the Decisional Conflict Scale will measure how informed participants feel about available options for MCED testing, benefits of MCED testing, and risks of MCED testing. Each is rated on the 3-point scale (yes/no/unsure). This will be assessed at the end of each vignette (Time 1, 2, 3).
24 hours
Uncertainty Subscale of the Decisional Conflict Scale
Tidsramme: 24 hours
Two items from the Decisional Conflict Scale will measure uncertainty about the decision to use MCED tests. This will include feeling clear about the best choice for the participant, and feeling sure about what to choose. Each is rated on the 3-point scale (yes/no/unsure). This will be assessed at the end of each vignette (Time 1, 2, 3).
24 hours

Samarbejdspartnere og efterforskere

Det er her, du vil finde personer og organisationer, der er involveret i denne undersøgelse.

Sponsor

Samarbejdspartnere

Datoer for undersøgelser

Disse datoer sporer fremskridtene for indsendelser af undersøgelsesrekord og resumeresultater til ClinicalTrials.gov. Studieregistreringer og rapporterede resultater gennemgås af National Library of Medicine (NLM) for at sikre, at de opfylder specifikke kvalitetskontrolstandarder, før de offentliggøres på den offentlige hjemmeside.

Studer store datoer

Studiestart (Anslået)

1. september 2027

Primær færdiggørelse (Anslået)

1. juli 2028

Studieafslutning (Anslået)

1. juli 2029

Datoer for studieregistrering

Først indsendt

14. august 2026

Først indsendt, der opfyldte QC-kriterier

26. august 2026

Først opslået (Faktiske)

28. august 2026

Opdateringer af undersøgelsesjournaler

Sidste opdatering sendt (Faktiske)

28. august 2026

Sidste opdatering indsendt, der opfyldte kvalitetskontrolkriterier

26. august 2026

Sidst verificeret

1. august 2026

Mere information

Begreber relateret til denne undersøgelse

Andre undersøgelses-id-numre

  • STUDY00033796
  • 1R01CA317672 (U.S. NIH-bevilling/kontrakt)

Plan for individuelle deltagerdata (IPD)

Planlægger du at dele individuelle deltagerdata (IPD)?

JA

IPD-planbeskrivelse

Based on ethical considerations related to the protection of human subjects, the following data produced during the project will be preserved and shared:

  • Survey responses
  • Survey weights
  • Qualitative interview data, deidentified and without any participant identifiers beyond assigned study group, state, and limited sociodemographic characteristics

The investigators will seek to share as much data as possible while maintaining a de-identified dataset without protected health information. Thus, the final shared data set will not include geographic subdivisions smaller than the state level, dates, birth dates, contact information, or other identification numbers.

Data available to be shared will be archived in the University of Michigan ICPSR data repository, which was chosen for its focus on social and behavioral data that align with the nature of data collected in this project.

IPD-delingstidsramme

Data will be made available no later than time of an associated publication or end of the performance period, whichever comes first. Data will be available for 5 years from the end of the study period.

IPD-delingsadgangskriterier

Requests for access to the data will be managed by the repository. Requests will indicate intended use of the data, protections to be put in place to ensure secure data transfer, and to formulate a data use agreement, if applicable.

IPD-deling Understøttende informationstype

  • STUDY_PROTOCOL
  • ANALYTIC_CODE

Lægemiddel- og udstyrsoplysninger, undersøgelsesdokumenter

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