Measuring Success in Decentralized Trials: Metrics that Drive Improvement
There is gold in the new data of decentralized trial (DCT) methods. Do you know how to find it?
You can use the opportunities within this data — and work around the challenges — with Measuring Success in Decentralized Trials: Metrics that Drive Improvement.
The ever-increasing use of DCT technologies enables sites to measure patient compliance and engagement with metrics collected through various methods (electronic devices/platforms, telehealth). This means an abundance of data collected in near-real time that you can use to evaluate — and even correct — a trial as it progresses. And harness new kinds of data that can provide further insight into a trial’s operations.
Measuring Success in Decentralized Trials provides a set of metrics and guidance to use in evaluating the performance of DCTs so you can maximize trial success.
It lays out a risk-management approach to creating a DCT metrics analysis plan that focuses on potential problem areas and identifies what data are needed to track them. It shows you that by using trial-specific algorithms — similar to those used by Amazon and Google to track consumer behavior — you can predict outcomes based on the resulting data and adjust accordingly, to drive success.
Management report takeaways:
- How real-time data collection in DCTs affects metrics analysis
- Develop an analytical strategy using risk-based quality management methods
- How to use metrics for predictive analysis
- Industry benchmark metrics that can help identify key performance indicators
- Benefits of comparing metrics from multiple sites
- How DCTs make it easier to collect metrics data on patient compliance and engagement
While the pandemic accelerated the move to DCT methods, there is no going back. You can benefit from all of its possibilities with Measuring Success in Decentralized Trials: Metrics that Drive Improvement.
About the Contributor
Jennifer Price is THREAD’s executive director, data and analytics. She has been in the clinical trial industry for more than 30 years, working in data management, biostatistics, vendor management and implementation of clinical trial systems.
Who Will Benefit
- Site/research department directors
- Statisticians/data analysts
- Clinical research coordinators (CRCs)
- Clinical research associates (CRAs)
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