Use of IVRS/IWRS for Site Inventory Management
Transcription
Use of IVRS/IWRS for Site Inventory Management
Use of IVRS/IWRS for Site Inventory Management Cheryl Hudson Associate Director, Clinical Project Services Clinical Trial Supply East Coast October 19, 2011 Site Inventory Management Effective supplies management that sustains patient activity without interruption Optimizes supplies throughout the life of the study Sponsor and Vendor Partnership to prevent supply risks and issues Visibility of information and tools to aid in planning and problem resolution Understanding IVRS/IWRS Capabilities Partner with IVRS/IWRS vendor Communicate supply goals and challenges Understand how the technology can meet study needs Establish responsibilities and expectations Application of IVRS/IWRS Site Inventory Management Strategies Selection of strategies Accounting for study constraints Factors that drive parameter settings Maintaining flexibility Importance of reassessment Define Goals Recognize Challenges Define IVRS/IWRS Inventory Management Design Reassess Settings Regularly Plan for the Different Study Phases Define Resupply Strategies to meet protocol specific needs Ensure Maintenance Responsibilities are Defined Acknowledge Goals and Challenges Supply Goals Maximize our Supply Minimize Wastage Eliminate Stock Outs / Failed Drug Assignments Minimize Shipments Supply Challenges Supply Shortages Costly Supply Short Dated Material Long Transit Times Shipping Costs Site Storage Space Larger (infrequent) Shipments Keep more supply at site • High Supply Availability • Low Supply Cost • Long Use By / expiry dating • Long Transit Times • High Shipping Costs Smaller (frequent) Shipments Keep less supply at site • Low Availability • High supply Cost • Large Pack size/ Low Site Storage • Shorter Use by / expiry dating • Short Transit Times • Low Shipping Costs Cover Subject Need New Subjects Replacements Existing Subjects Common Site Inventory Management Methodologies Randomization Projections Visit Projections Trigger and Resupply Site Stratified Randomization Site Rand # Treatment 101 1 10 mg 101 2 20 mg 101 3 15 mg 101 4 15 mg Status When should you use Randomization Projections? Site Stratified • Blocked • Site + Subject Stratified • # factors Central • Central • Subject Stratified How many patients to project randomization for? • Can we use screening as a predictor? • What is the expected enrollment rate? • What is the transit time? • How many randomization numbers are maintained at the site? [assuming dynamic allocation of randomization codes] Visit Projections • Using the visit schedule, IVRS/IWRS knows when subjects are expected to come in for visits and what treatment they are on Projection Time Frame Short Projection Timeframe Long Projection Timeframe Transit Time Short Long Use by / Expiry Short Long Drop Out Rate High Low Supply Availability Low High Site Storage Space Low High How far should I project for visits? Transit Time • Projection window must be greater than transit time Expiry Dating • Balance your ‘do not ship’ with projection timeframe Visit Schedule • How often do patients come in (visit schedule) • Avoid 1 for 1 replacements / partial unblinding Trigger and Resupply • New Enrollers • Buffer Stock for replacements Tying it all together Rand projection Visit projection Trigger & Resupply Site Ordering Needs Study Phases Enrollment Maintenance Close Out • Keep higher buffer supply to account for new enrollment • Routinely placing drug orders • Keep less buffer stock as subject schedule is know • Buffer only needed for replacements • May be able to decrease schedule for placing of drug orders • Plan for last patient drug assignments • Schedule last day of drug ordering Technology vs. Human Oversight Reports and Alerts • Who is looking at these? • What does the data mean? • Who is responsible for action? Routine Oversight • Who’s responsible Indicators • # shipments per site / month • Stock outs / Failed Drug Assignments • Site Usage rate • Depot Usage rate Flexibility • Initial assumptions and strategies may not align with reality • Ensure that the system is easily adaptable • Ensure system adaptability for different site / regions