How to Perform Patient Feasibility for Clinical Trials: The 5 Key Components

the 5 key principles in understanding patients for clinical trials

How to Perform Patient Feasibility
for Clinical Trials: The 5 Key Components

The evolution of clinical research is marked by an increasing recognition of the importance of patient-centric approaches. Traditional feasibility assessments, while crucial, no longer suffice in today’s complex healthcare landscape. Understanding the patient burden, influenced by their social, political, and economic environments, is paramount. This is where innovative methodologies step in, transforming qualitative data into quantitative insights to better align clinical trials with patient needs.

The Concept of Patient Feasibility

Patient feasibility transcends the limits of traditional models, such as site and country feasibility, by focusing on the nuanced differences among patients. Patients are influenced by their standard of care, treatment accessibility, and social support systems. Grounded in a patient’s context, it is essential to effectively engage them in clinical trials, maximizing the success and effect of the trials themselves.

Why Patient Feasibility Matters

Recruitment Efficiency: By understanding the patient burden, including the pathways and their needs, trials can avoid common recruitment barriers, tailoring protocols to ensure greater inclusivity and patient-centricity.

Protocol Optimization: Informed by a thorough understanding of the target patient population, clinical trial designs can be more effectively aligned with patient realities, enhancing adherence and retention.

Strategic Country Selection: Insights into patient care standards and pathways aid in selecting the most suitable countries for clinical trials, maximizing recruitment potential and trial success.

Performing Patient Feasibility: The 5 Key Components

Patient feasibility involves a deep dive into the patient’s experience within the target country, considering factors such as the journey from symptom onset to diagnosis, the choice of healthcare provider, and the standard of care. This analysis also requires an understanding of the healthcare system’s structure, whether it’s centralized, private, or a hybrid model, and how this influences treatment accessibility and patient care.

1. Understanding the Patient Pathway

Begin by mapping out the journey a patient takes within the healthcare system of your target country, focusing on diagnosis, treatment access, and standard of care variations. 

2. Identifying Connection Points

 Determine key healthcare providers and potential referral patterns to understand the initial and subsequent steps a patient might take upon experiencing symptoms.

3. Analyzing Standard of Care

Delve into the national and private healthcare provisions to grasp the full spectrum of treatment options available to patients, considering both approved and reimbursed treatments.

4. Navigating Healthcare Systems

Recognize the distinctions in healthcare systems across different regions, particularly the nuances of centralized versus decentralized systems, and how they impact patient care and treatment accessibility.

5. Leveraging Data Intelligence

Utilize AI capabilities to transform qualitative insights into quantitative data, allowing for a scalable comparison of patient pathways and the identification of unmet needs.

TrialHub, a pre-mortem analysis tool for clinical researchers, is pioneering a methodology to quantitatively assess patient pathways and identify unmet needs, and that is – patient feasibility. This process is designed to ensure the compatibility of a trial not just for the patient, but also for the investigator and the site. In an era where both sites and investigators exhibit selectiveness, understanding patient pathways becomes a critical factor in the success of clinical trials. 

The Way Forward

TrialHub has proven that this methodology works by the results of the clients that use the platform for their feasibility needs and beyond. A number of companies have cut down a substantial amount of expenses, measured in millions and in months of work, by utilizing patient feasibility

This not only promises more successful trials but also ensures better patient outcomes, heralding a new era of clinical research where patient needs are at the forefront of every decision. As we move towards a future where every patient’s voice is heard, the promise of more equitable, effective, and compassionate healthcare becomes ever more tangible.


Scroll to Top