A never-ending tension in clinical trials exists between a client’s need for quick changes to a technical system – for example, an IRT (IWR/IVR) system in production — and the vendor’s need for time. The axiomatic truth is this: the details of clinical trials are often fluid, with the need for changes commonplace. But Sponsors and CROs often get frustrated …
When integrating an IRT (IWR/IVR) system with an EDC platform, avoid collecting CRF data in the IRT. Optimal goals for deploying an IRT are to screen subjects (i.e., assign a Subject ID), to randomize subjects to a treatment group, and to assign drug to subjects during the trial. We recommend our clients follow a ‘must have’ approach for data collected in the IRT and subsequently pushed to the EDC – in most cases, limiting the data transferred to the Subject ID, Visit ID, and IP assigned.
Change is a constant in the world of clinical study planning. In The Art of Making Changes Part 1: Five Keys we talked about the stress change can generate, and about the five essential elements for achieving painless change management for IRT (IWR/IVR) systems. The present article outlines the components of a successful management process for technical change.
One of the much-lamented aspects of a regulated industry like pharmaceuticals is the amount of documentation required for the successful conduct of a clinical trial for new drug development. The old industry adage ‘if it isn’t documented, it didn’t happen’ was with us at the birth of modern FDA trials and it remains just as true today. The move from a predominantly paper-based environment to an electronic environment didn’t change a thing – the lament just moved from one venue to the next!
To complicate matters further, client audits and government inspections make it necessary to be able to lay your hands on a document expeditiously when called upon to do so. Government endorsement of GCPs and document management standards further add a string of ‘must do’s’ to everyone’s SOPs.
Drug accountability and the problems associated with it remain key issues for clinical trial management as we move into 2018.
Using an IRT (IVR/IWR) system to manage the distribution and assignment of investigational product (IP) is now a well established practice. Most IRTs these days also include some method of managing and documenting the return and destruction of IP consistent with federal guidelines which require Sponsors to account for all of their trial’s unused drug.
But IRTs differ in the functionality they offer with regard to accountability.
Having robust information on study visit windows and scheduled activities that is easily configurable (and reconfigurable as need be) is an important requirement when vetting IRT (IVR/IWR) systems for clinical trials. What kind of information should you look for?
First, there are the basics: scheduled activities, activity windows, and options for window enforcement. Here’s a project example from our VLIRT® system:
The surest way for a clinical trial data collection system to be rewarded by users with accolades like ‘intuitive and user friendly’ is for the system to be flexible-by-design — that is, to enable users to modify, by design, standard data views to include project-specific data points whenever the user logs in. This juggling act – standard-yet-flexible – is one of the first criterion one should apply when assessing a new system, whether it’s an EDC, CTMS, ePRO or IRT platform under consideration.
Using the Veracity Logic VLIRT® (IRT/IWR) platform as an example, a system’s architecture becomes ‘intuitive’ when built from the outset to encompass project specific additions to standard views without incurring additional time and costs for custom coding. Modular, configurable flexibility, selected by users at startup, is the key to success.
When selecting an IRT (IVR/IWR) system for your clinical trial, what features should it have to ensure you can adequately manage the critical but logistically complicated world of study drug?
Here’s a quick checklist of things to consider:
Ability to have ‘at-a-glance’ access to information relevant to study drug– for example, in a straightforward table view – without the need for complicated querying, and with the ability to deliver or withhold types of information based on user roles. An at-a-glance view should include:
Striking a balance between effective study drug inventory control and efficient management of shipping costs is not always easy when faced with the real-life complexities of clinical trials.
Automated predictive resupply algorithms that help reduce drug waste at clinical sites are now the order of the day for most IRT (IWR/IVR) systems, albeit with varying degrees of effectiveness when it comes to optimizing shipment efficiencies. Even ‘static’ algorithms – e.g., setting a baseline resupply requirement in the system and using alert levels to dictate when to trigger a new shipment—can present complexities with regard to good shipment management.
Industry statistics indicate that 50% of the sites initiated for a clinical trial enroll 0-1 subjects; with 25% enrolling none at all. With numbers like these, decisions on where and how to distribute precious and expensive study drug become a serious matter for senior management and project teams.