Value of information analysis optimizing future trial design from a pilot study on catheter securement devices

Area of Science:

• Health economics
• Clinical trial design
• Biostatistics

Background:

• Value of information (VOI) analysis offers an alternative to traditional hypothesis testing for determining sample sizes in clinical trials.
• VOI analysis can optimize research design beyond sample size, including comparator arms and follow-up times.
• It focuses on maximizing the expected net benefit of research, balancing trial costs with the value of new information.

Purpose of the Study:

• To apply VOI methods to pilot study data on catheter securement devices.
• To determine the optimal design for a future, larger clinical trial.

Main Methods:

• Economic evaluation using data from a multi-arm randomized controlled pilot study.
• Comparison of four catheter securement devices: standard polyurethane, tissue adhesive, bordered polyurethane, and sutureless.
• Probabilistic Monte Carlo simulation to quantify uncertainty and calculate expected value of information.
• Estimation and comparison of expected costs and benefits for alternative trial designs.

Main Results:

• A randomized controlled trial on catheter securement devices is potentially valuable.
• A four-arm trial with 220 patients/arm maximizes expected net benefit (130% ROI).
• The standard hypothesis testing approach (388 patients/arm) yields lower net benefit (79% ROI).

Conclusions:

• VOI analysis enables efficient clinical trial design by maximizing expected net benefit.
• This approach should be integrated early in the design process for randomized clinical trials.
• Limitations include reliance on single pilot trial data and not evaluating varied follow-up durations.