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Insights from a Multi-company Workshop to Apply a Patient Participation Burden Algorithm to Protocol Data.

Authors :
Smith, Zachary
Botto, Emily
Carney, Christopher
Bagga, Abhishek
Qutab, Bazgha
Getz, Kenneth
Source :
Therapeutic Innovation & Regulatory Science; Mar2023, Vol. 57 Issue 2, p262-270, 9p
Publication Year :
2023

Abstract

Background: Utilizing a participation burden algorithm developed in a previous study, Tufts CSDD, in collaboration with ZS, led a workshop among 8 pharmaceutical companies to validate the methodology of benchmarking the participation burden of a set of retrospective protocols and comparing these data to a prospective protocol design. Methods: Eight participating companies collected data for 66 retrospective protocols and participation burden scores were calculated for each. Data from one prospective protocol was provided and prospective burden scores were compared to mean retrospective protocol burden for each company. Participating companies provided feedback on data collection process and final reports. Results: Comparisons between retrospective and prospective burden scores revealed higher comparative burden in lab and blood procedures. Companies were able to gather most requested data, but some variables hypothesized to affect burden were not available to sponsors. Time constraints were reported as a challenge throughout the data collection process. Conclusions: Feedback indicated the need for establishing a larger database to enable comparisons between protocols with the same therapeutic area and indication. Investigating the impact of standard of care burden by indication on overall participation burden and encouraging sponsors to collect more accurate data contributing to participation burden at the site level are also important takeaways from this exercise. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
21684790
Volume :
57
Issue :
2
Database :
Supplemental Index
Journal :
Therapeutic Innovation & Regulatory Science
Publication Type :
Academic Journal
Accession number :
161769001
Full Text :
https://doi.org/10.1007/s43441-022-00467-0