Case Study – Delivering Devices to Sites in Russia, Ukraine, Belarus and Georgia

CSI was contacted by a client that urgently required medical devices to be delivered to Russia, Ukraine, Belarus, and Georgia for a large oncology trial.

These devices/markers were required during the patient screening visit. These devices are only applied to a very limited number of patients under a standard of care; however, due to the increased level of follow up required in the environment of the clinical trial, the devices were being applied to all patients. The client thought initially that the sites would be able to source themselves, but the quantities required were higher than UK and German joint monthly consumption, and deliveries had to be arranged on demand to 100 sites.

CSI Approach
The quantities were so large compared to normal demand that they placed strain on the manufacturer’s own production and supply chain capability.

CSI worked closely with the client’s medical team to identify options for products with the same characteristics as a secondary solution. Using a combination of primary and secondary solutions CSI presented an option that had feasible sourcing timelines. Working closely with local partners in each country CSI developed a distribution strategy at the site level in a just in time model.

Challenges and Results
A just in time distribution model is dependent on robust and dependable sourcing, adding a secondary solution to the trial relieved pressure from the manufacturer of the primary solution – this meant that there was always a solution available when a site required resupply of devices. Liaising with the manufacturers of the devices, the client, and importantly couriers was a logistically challenging task but one that had to run smoothly to safeguard the continuation of the trial.

The model developed by CSI was successful in ensuring sites never ran out of stock of these devices, using a primary and secondary solution was a novel approach that operated efficiently. CSI provided that all required documentation for smooth import and distribution, forecasted demand, and developed a safety net stock level to respond to variable patient recruitment levels – avoiding delays to patient recruitment.