Use of crowdsourcing for cancer clinical trial development

Amanda Leiter1, Tomasz Sablinski1, Michael Diefenbach1

  • 1Department of Medicine, Division of Hematology/Oncology, Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY (AL, WKO, MDG); Platform Development Department, Transparency Life Sciences, New York, NY (TS, MF, AG); Department of Urology, Icahn School of Medicine at Mount Sinai, New York, NY (MD); Clinical Trials Department, AMC Health, New York, NY (JH).

Insights

Crowdsourcing clinical trial design is feasible and valuable. Harnessing collective intelligence from physicians and patients improved a prostate cancer trial protocol, potentially enhancing future trial efficiency.

Area of Science:

  • Oncology
  • Clinical Trial Design
  • Drug Development

Background:

  • Cancer clinical trial accrual faces barriers including patient ineligibility and limited patient input in trial design.
  • Traditional trial design by small research teams may not fully address patient needs or optimize trial conduct.

Purpose of the Study:

  • To evaluate the feasibility and utility of internet-based crowdsourcing for improving clinical trial design.
  • To enhance a prostate cancer clinical trial protocol using collective input from diverse stakeholders.

Main Methods:

  • Utilized an internet-based crowdsourcing platform to gather input on a clinical trial protocol.
  • Collected data from 60 physicians/researchers and 42 patients/advocates over six weeks.
  • Applied crowdsourced feedback to modify the trial protocol, including eligibility criteria.

Main Results:

  • Crowdsourcing successfully generated input leading to significant protocol modifications.
  • The process demonstrated feasibility and added value to the clinical trial protocol development.
  • Identified specific areas for improvement in trial design through collective intelligence.

Conclusions:

  • Crowdsourcing is a viable method for enhancing clinical trial design by incorporating broader perspectives.
  • This approach can lead to more robust and patient-centered trial protocols.
  • Implementing crowdsourced insights may improve the efficiency and success rate of clinical trials.

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