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Uncertainty About the Benefits of New Cancer Drugs and Patients' Treatment Preferences

Uncertainty About the Benefits of New Cancer Drugs and Patients' Treatment Preferences: a Randomized Controlled Trial

Status
Not yet recruiting
Phases
Unknown
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT07694310
Enrollment
3000
Registered
2026-07-09
Start date
2026-07-14
Completion date
2026-10-01
Last updated
2026-08-04

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Cancer

Brief summary

This study of current or former cancer patients will evaluate the effect of learning about uncertainties with the benefits of a new cancer drug on their hypothetical decisions to take the drug and their perceptions of the drug's effectiveness.

Detailed description

Many new cancer drugs are approved based on uncertain benefits. Without knowledge of this information, patients may overestimate the benefits of new cancer drugs, resulting in decisions that are not reflective of their individual treatment preferences. A previous study found that learning about uncertainties with a new cancer drug's benefits (such as the drug's small magnitude of effect or limited trial population) reduced the proportion of people who were willing to take the drug. It is unclear whether these findings are generalizable to patients with cancer, who may have different treatment preferences, and may weigh uncertainty about the benefits of new cancer drugs differently from the general public. In this study, US adults with a current or former cancer diagnosis will be recruited to evaluate the effect of learning about uncertainties with the benefits of a new cancer drug on their hypothetical decisions to take the drug and their perceptions of the drug's effectiveness. Patients will be randomized to 1 of 5 interventions: (1) no uncertainty information (control); or plain-language statements about uncertainties with (2) an unvalidated surrogate endpoint (unknown effect of the drug on survival or quality of life); (3) limited study population (the drug was not studied in patients of similar race or ethnicity); (4) small magnitude of effect (it is unknown whether patients would notice an improvement with the drug), or (5) a combination of all three uncertainties.

Interventions

OTHERControl

No uncertainty information

OTHERUnvalidates surrogate endpoint

Zenova has only been shown to shrink the size of tumors. It is unknown whether Zenova improves how patients feel or how long they live.

OTHERLimited study population

Zenova has not been studied in patients similar to Alex (patients with her race and ethnicity). It is unknown whether Zenova will work and what harms it will have for patients like her.

OTHERSmall magnitude of effect

It is unknown whether patients with non-small cell lung cancer will notice an improvement with Zenova.

OTHERMultiple uncertainties

All 3 statements shown above

Sponsors

London School of Economics and Political Science
Lead SponsorOTHER
Harvard Medical School and Harvard Pilgrim Health Care Institute
CollaboratorUNKNOWN

Study design

Allocation
RANDOMIZED
Intervention model
PARALLEL
Primary purpose
OTHER
Masking
TRIPLE (Subject, Investigator, Outcomes Assessor)

Eligibility

Sex/Gender
ALL
Age
18 Years to No maximum
Healthy volunteers
No

Inclusion criteria

* US adults with a current or former cancer diagnosis (excluding nonmelanoma skin cancer), * 18 years of age and older * Fluent in English * Residing in the United States.

Exclusion criteria

* Adults who do not have a former cancer diagnosis or who were diagnosed with nonmelanoma skin cancer * Adults who complete the survey in under 150 seconds, and who do not meet the inclusion criteria.

Design outcomes

Primary

MeasureTime frameDescription
Hypothetical decisionsAssessed immediately after the interventionImagine you were Alex and diagnosed with non-small cell lung cancer. How likely would you be to take the new drug, Zenova? * Response options: Very unlikely, somewhat unlikely, somewhat likely, very likely

Secondary

MeasureTime frameDescription
Perceptions of treatment effectivenessAssessed immediately after the interventionImagine you were Alex and diagnosed with non-small cell lung cancer. How likely would you be to take the new drug, Zenova? \- Response options: Very unlikely, somewhat unlikely, somewhat likely, very likely
UnderstandingAssessed immediately after the interventionPlease rate your agreement with the following statement * Zenova has been studied in patients that are similar to Alex (race and ethnicity) * Zenova improves how patients feel or how long they live * Zenova has a noticeable improvement for patients * Response options: Strongly disagree, somewhat disagree, somewhat agree, strongly agree
EmotionsAssessed immediately after the interventionIf you were Alex, how worried would you feel about taking Zenova? \- Response options: Very worried, slightly worried, not very worried, not worried at all.
TrustAssessed immediately after the interventionTo what extent do you think the information about Zenova is trustworthy? To what extent do you think the FDA, which approved Zenova and produced this information, is trustworthy? To what extent do you think Alex's doctor, who recommended and prescribed Zenova, is trustworthy? \- Response options: Not at all trustworthy, somewhat untrustworthy, somewhat trustworthy, very trustworthy

Contacts

CONTACTAvi Cherla
avi_cherla@hphci.harvard.edu020 7955 7975

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Aug 5, 2026