A Data-Driven Approach to Site Selection

As an experienced clinical research physician, I have observed a critical issue that significantly affects patient recruitment for clinical trials: the number of concurrent trials at a given site. A high volume of trials can:

  1. Stretch site resources: This leads to a dilution of focus. Coordinators and investigators juggling multiple studies may struggle to give each the attention it deserves, resulting in delays in patient recruitment and retention and increased error rates in data collection and protocol adherence.
  2. Saturate patient pools: Sites drawing from the same community for multiple studies may find it increasingly difficult to meet enrollment targets, especially in specialized trials requiring narrow eligibility criteria. The competition for suitable participants becomes fierce, often leading to longer recruitment times and higher costs.
  3. Frustrate patients: perspective. Longer wait times, less personalized care, and potential scheduling conflicts may deter participation or cause early withdrawal from the study.

To address these challenges, we use a data-driven approach to identify optimal sites for your clinical trial. By leveraging data analytics, we can evaluate the performance of potential sites based on their historical treatment rates for the indication, patient retention, and adherence to protocols. This allows us to identify sites that consistently meet or exceed enrollment targets without overburdening their staff and resources.

Furthermore, data-driven site selection helps mitigate the risk of patient pool saturation. By analyzing claims and EHR data and forecasting patient availability, we can identify sites with untapped patient populations that match your study’s criteria, ensuring that we are not competing for the same patient pool.

From a patient’s perspective, sites identified through a data-driven approach often provide a better experience. These sites are better equipped to efficiently manage patient care and scheduling efficiently, leading to higher satisfaction and lower dropout rates.

For clinical operations managers, embracing a data-driven strategy is essential. Using data to guide site selection, you can optimize patient recruitment and enhance the overall success of your clinical trials. I invite clinical operations and project managers to reach out and discuss how a data-driven approach can benefit your trial.

We provide a complimentary site assessment report here: Eclipse Insights – Eclipsesol.com Learn how many studies your sites are conducting and get valuable insights into their actual patient population.