TY - JOUR
T1 - Evaluation of Data Errors and Monitoring Activities in a Trial in Japan Using a Risk-Based Approach Including Central Monitoring and Site Risk Assessment
AU - Kondo, Hidenobu
AU - Kamiyoshihara, Tomoaki
AU - Fujisawa, Kenji
AU - Nojima, Toshiaki
AU - Tanigawa, Ryohei
AU - Fujiwara, Hisataka
AU - Suganami, Hideki
AU - Hayashi, Yukikazu
AU - Yamaguchi, Takuhiro
N1 - Funding Information:
The authors thank Ayumi Saito for lending her expertise on the application of RBM strategy. We also thank Toru Morimoto, Tomonori Obata, Yuichi Fukumasu, and Takahiro Higuchi for conducting and supporting RBM. We thank Tay Zar Kyaw (medical doctor) for writing assistance. Editing assistance was provided by the Life Science Business Unit of SunFlare Co., Ltd. The authors would like to thank Enago (www.enago.jp ) for the English language review. The assistance was funded by A2 Healthcare Corporation. Finally, we would like to acknowledge the support of all CRAs and the study team members involved in this study and thank them for their contributions.
Funding Information:
The authors thank Ayumi Saito for lending her expertise on the application of RBM strategy. We also thank Toru Morimoto, Tomonori Obata, Yuichi Fukumasu, and Takahiro Higuchi for conducting and supporting RBM. We thank Tay Zar Kyaw (medical doctor) for writing assistance. Editing assistance was provided by the Life Science Business Unit of SunFlare Co., Ltd. The authors would like to thank Enago ( www.enago.jp ) for the English language review. The assistance was funded by A2 Healthcare Corporation. Finally, we would like to acknowledge the support of all CRAs and the study team members involved in this study and thank them for their contributions.
Publisher Copyright:
© 2021, The Author(s).
PY - 2021/7
Y1 - 2021/7
N2 - Background: Risk-based monitoring (RBM) is a slow uptake in some trial sponsors. There are three main reasons for this. First, there is the fear of making large investments into advanced RBM technology solutions. Second, it is considered that RBM is most suitable for large, complex trials. Third, there is the fear of errors in both critical and non-critical data, appearing as reduced on-site monitoring is being conducted. Methods: Our RBM team identified, evaluated, and mitigated trial risks, as well as devised a monitoring strategy. The clinical research associate (CRA) assessed the site risks, and the RBM team conducted central monitoring. We compared all data errors and on-site monitoring time between the partial switching sites [sites that had switched to partial source data verification (SDV) and source data review (SDR)] and the 100% SDV and SDR sites (sites that had implemented 100% SDV and SDR). Results: Partial switching sites did not require any critical data correction and had a smaller number of data corrections through on-site monitoring than the 100% SDV and SDR sites. The RBM strategy reduced the on-site monitoring time by 30%. Conclusions: The results suggest that RBM can be successfully implemented through the use of site risk assessment and central monitoring with practically no additional investment in technology and still produced similar results in terms of subject safety and data quality, as well as the cost savings that have been reported in global complex studies.
AB - Background: Risk-based monitoring (RBM) is a slow uptake in some trial sponsors. There are three main reasons for this. First, there is the fear of making large investments into advanced RBM technology solutions. Second, it is considered that RBM is most suitable for large, complex trials. Third, there is the fear of errors in both critical and non-critical data, appearing as reduced on-site monitoring is being conducted. Methods: Our RBM team identified, evaluated, and mitigated trial risks, as well as devised a monitoring strategy. The clinical research associate (CRA) assessed the site risks, and the RBM team conducted central monitoring. We compared all data errors and on-site monitoring time between the partial switching sites [sites that had switched to partial source data verification (SDV) and source data review (SDR)] and the 100% SDV and SDR sites (sites that had implemented 100% SDV and SDR). Results: Partial switching sites did not require any critical data correction and had a smaller number of data corrections through on-site monitoring than the 100% SDV and SDR sites. The RBM strategy reduced the on-site monitoring time by 30%. Conclusions: The results suggest that RBM can be successfully implemented through the use of site risk assessment and central monitoring with practically no additional investment in technology and still produced similar results in terms of subject safety and data quality, as well as the cost savings that have been reported in global complex studies.
KW - Central monitoring
KW - RBM
KW - Risk-based monitoring
KW - Site risk assessment
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U2 - 10.1007/s43441-021-00286-9
DO - 10.1007/s43441-021-00286-9
M3 - Article
C2 - 33876398
AN - SCOPUS:85108761427
VL - 55
SP - 841
EP - 849
JO - Therapeutic Innovation and Regulatory Science
JF - Therapeutic Innovation and Regulatory Science
SN - 2168-4790
IS - 4
ER -