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Insights from a Multi-company Workshop to Apply a Patient Participation Burden Algorithm to Protocol Data
Zachary Smith1, Emily Botto2, Christopher Carney3
1Tufts CSDD, 145 Harrison Ave., Boston, MA, 02111, USA. Zachary.Smith605922@tufts.edu.
This study validated a participation burden algorithm by benchmarking retrospective and prospective clinical trial protocols. Lab and blood procedures showed higher patient burden, highlighting the need for better data collection and larger databases for accurate comparisons.
Area of Science:
- Clinical Trial Operations
- Patient Participation Burden Measurement
- Pharmaceutical Research & Development
Background:
- A previously developed participation burden algorithm was utilized.
- A workshop involving 8 pharmaceutical companies aimed to validate the methodology.
- Benchmarking retrospective protocols against prospective protocol design was the focus.
Purpose of the Study:
- To validate a methodology for benchmarking patient participation burden.
- To compare participation burden between retrospective and prospective clinical trial protocols.
- To gather feedback on data collection processes and reporting for burden assessment.
Main Methods:
- Eight companies collected data for 66 retrospective protocols.
- Participation burden scores were calculated for retrospective protocols.
- Prospective burden scores were compared to mean retrospective scores; feedback was collected.
Main Results:
- Lab and blood procedures exhibited higher comparative burden in retrospective vs. prospective protocols.
- Most requested data were obtainable, but some burden-influencing variables were unavailable.
- Time constraints presented a challenge during the data collection phase.
Conclusions:
- Establishing a larger database is crucial for therapeutic area/indication-specific comparisons.
- Investigating the impact of standard of care burden by indication is recommended.
- Encouraging sponsors to collect more accurate site-level participation burden data is essential.
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