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临床试验/NCT07694310
NCT07694310尚未招募不适用

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

London School of Economics and Political Science0 个研究点目标入组 3,000 人开始时间: 2026年7月14日最近更新:
适应症
干预措施

试验速览

阶段
不适用
状态
尚未招募
入组人数
3,000
主要终点
Hypothetical decisions

研究概览

简要总结

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.

详细描述

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.

研究设计

研究类型
Interventional
分配方式
Randomized
干预模型
Parallel
主要目的
Other
盲法
Triple (Participant, Investigator, Outcomes Assessor)

入排标准

年龄范围
18 Years 至 —(Adult, Older Adult)
性别
All
接受健康志愿者

入选标准

  • 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.

排除标准

  • 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.

研究组 & 干预措施

Control

Placebo Comparator

No uncertainty information

干预措施: Control (Other)

Unvalidated surrogate endpoint

Active Comparator

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.

干预措施: Unvalidates surrogate endpoint (Other)

Limited study population

Active Comparator

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.

干预措施: Limited study population (Other)

Small magnitude of effect

Active Comparator

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

干预措施: Small magnitude of effect (Other)

Multiple uncertainties

Active Comparator

All 3 statements shown above

干预措施: Multiple uncertainties (Other)

结局指标

主要结局

Hypothetical decisions

时间窗: Assessed immediately after the intervention

Imagine 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

次要结局

  • Perceptions of treatment effectiveness(Assessed immediately after the intervention)
  • Understanding(Assessed immediately after the intervention)
  • Emotions(Assessed immediately after the intervention)
  • Trust(Assessed immediately after the intervention)

研究者

申办方类型
Other
责任方
Principal Investigator
主要研究者

Avi Cherla

Research Fellow

Harvard Medical School (HMS and HSDM)

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