Improving Enrolment in Clinical Trials using Economic Methods: Development of the I-PARTICIPATE approach

Date:

23 October 2025, Thursday

Time:

2.00pm – 3.00pm Singapore [GMT +8]

Location:

Seminar Room 2, Level 8
Tahir Foundation Building (MD1)
National University of Singapore
12 Science Drive 2, Singapore 117549

Abstract:

I-PARTICIPATE is a patient-informed trial design methodology that improves trial enrolment by directly incorporating potential participant preferences. Using qualitative interviews and discrete choice experiments (DCEs), it applies decision science to identify and address barriers to participation, targeting two persistent challenges in research: low enrolment rates and inadequate diversity. These issues compromise trial validity, delay translation of new therapies, and perpetuate health inequities. By integrating patient perspectives into modifiable trial features, I-PARTICIPATE aims to enhance efficiency, ensure equitable representation, and strengthen the impact of clinical trials. This presentation will describe the use of the I-PARTICIPATE approach in the development of a clinical trial which is studying a medication for reducing post traumatic osteoarthritis in patients with Anterior Cruciate Ligament injury. It will describe how the approach can inform not only the intervention itself, but the design of the trial including the incentives, number of sites, and who should invite patients to participate.

Speaker:

Dr Nick Bansback
Professor of Health Economics, School of Population and Public Health
University of British Columbia

My research focuses on maximizing the value we obtain from health care. Not only the value that patients derive from their own care and treatment options, but the value the whole population derives from the public investment in healthcare.

To this end, I study and apply a field called decision science. Where most fields of health research focus on producing new knowledge – through better evidence and new treatments and technologies – decision science studies how people (patients, clinicians, policy makers…) make choices and how they can make better choices with current knowledge recognizing the presence of uncertainty, complexity, cognitive biases and competing values.

I have previously completed a Postdoc at UBC, and a PhD at the University of Sheffield in Health Economics and Decision Sciences.