{"title":"肿瘤学研究者发起的临床试验中 eSource 直接数据采集的效率。","authors":"Hiroko Yaegashi, Yukikazu Hayashi, Makoto Takeda, Shih-Wei Chiu, Haruhiko Nakayama, Hiroyuki Ito, Atsushi Takano, Masahiro Tsuboi, Koji Teramoto, Hiroyuki Suzuki, Tatsuya Kato, Hiroshi Yasui, Fumitaka Nagamura, Yataro Daigo, Takuhiro Yamaguchi","doi":"10.1007/s43441-024-00671-0","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Clinical trials have become larger and more complex. Thus, eSource should be used to enhance efficiency. This study aimed to evaluate the impact of the multisite implementation of eSource direct data capture (DDC), which we define as eCRFs for direct data entry in this study, on efficiency by analyzing data from a single investigator-initiated clinical trial in oncology.</p><p><strong>Methods: </strong>Operational data associated with the targeted study conducted in Japan was used to analyze time from data occurrence to data entry and data finalization, and number of visits to the site and time spent at the site by clinical research associates (CRAs). Additionally, simulations were performed on the change in hours at the clinical sites during the implementation of eSource DDC.</p><p><strong>Results: </strong>No difference in time from data occurrence to data entry was observed between the DDC and the transcribed data fields. However, the DDC fields could be finalized 4 days earlier than the non-DDC fields. Additionally, although no difference was observed in the number of visits for source data verification (SDV) by CRAs, a comparison among sites that introduced eSource DDC and those that did not showed that the time spent at the site for SDV was reduced. Furthermore, the simulation results indicated that even a small amount of data to be collected or a small percentage of DDC-capable items may lead to greater efficiency when the number of subjects per site is significant.</p><p><strong>Conclusions: </strong>The implementation of eSource DDC may enhance efficiency depending on the study framework and type and number of items to be collected.</p>","PeriodicalId":23084,"journal":{"name":"Therapeutic innovation & regulatory science","volume":" ","pages":"1031-1041"},"PeriodicalIF":2.0000,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11530566/pdf/","citationCount":"0","resultStr":"{\"title\":\"Efficiency of eSource Direct Data Capture in Investigator-Initiated Clinical Trials in Oncology.\",\"authors\":\"Hiroko Yaegashi, Yukikazu Hayashi, Makoto Takeda, Shih-Wei Chiu, Haruhiko Nakayama, Hiroyuki Ito, Atsushi Takano, Masahiro Tsuboi, Koji Teramoto, Hiroyuki Suzuki, Tatsuya Kato, Hiroshi Yasui, Fumitaka Nagamura, Yataro Daigo, Takuhiro Yamaguchi\",\"doi\":\"10.1007/s43441-024-00671-0\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>Clinical trials have become larger and more complex. Thus, eSource should be used to enhance efficiency. This study aimed to evaluate the impact of the multisite implementation of eSource direct data capture (DDC), which we define as eCRFs for direct data entry in this study, on efficiency by analyzing data from a single investigator-initiated clinical trial in oncology.</p><p><strong>Methods: </strong>Operational data associated with the targeted study conducted in Japan was used to analyze time from data occurrence to data entry and data finalization, and number of visits to the site and time spent at the site by clinical research associates (CRAs). Additionally, simulations were performed on the change in hours at the clinical sites during the implementation of eSource DDC.</p><p><strong>Results: </strong>No difference in time from data occurrence to data entry was observed between the DDC and the transcribed data fields. However, the DDC fields could be finalized 4 days earlier than the non-DDC fields. Additionally, although no difference was observed in the number of visits for source data verification (SDV) by CRAs, a comparison among sites that introduced eSource DDC and those that did not showed that the time spent at the site for SDV was reduced. Furthermore, the simulation results indicated that even a small amount of data to be collected or a small percentage of DDC-capable items may lead to greater efficiency when the number of subjects per site is significant.</p><p><strong>Conclusions: </strong>The implementation of eSource DDC may enhance efficiency depending on the study framework and type and number of items to be collected.</p>\",\"PeriodicalId\":23084,\"journal\":{\"name\":\"Therapeutic innovation & regulatory science\",\"volume\":\" \",\"pages\":\"1031-1041\"},\"PeriodicalIF\":2.0000,\"publicationDate\":\"2024-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11530566/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Therapeutic innovation & regulatory science\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1007/s43441-024-00671-0\",\"RegionNum\":4,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2024/7/2 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"Q4\",\"JCRName\":\"MEDICAL INFORMATICS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Therapeutic innovation & regulatory science","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1007/s43441-024-00671-0","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/7/2 0:00:00","PubModel":"Epub","JCR":"Q4","JCRName":"MEDICAL INFORMATICS","Score":null,"Total":0}
Efficiency of eSource Direct Data Capture in Investigator-Initiated Clinical Trials in Oncology.
Background: Clinical trials have become larger and more complex. Thus, eSource should be used to enhance efficiency. This study aimed to evaluate the impact of the multisite implementation of eSource direct data capture (DDC), which we define as eCRFs for direct data entry in this study, on efficiency by analyzing data from a single investigator-initiated clinical trial in oncology.
Methods: Operational data associated with the targeted study conducted in Japan was used to analyze time from data occurrence to data entry and data finalization, and number of visits to the site and time spent at the site by clinical research associates (CRAs). Additionally, simulations were performed on the change in hours at the clinical sites during the implementation of eSource DDC.
Results: No difference in time from data occurrence to data entry was observed between the DDC and the transcribed data fields. However, the DDC fields could be finalized 4 days earlier than the non-DDC fields. Additionally, although no difference was observed in the number of visits for source data verification (SDV) by CRAs, a comparison among sites that introduced eSource DDC and those that did not showed that the time spent at the site for SDV was reduced. Furthermore, the simulation results indicated that even a small amount of data to be collected or a small percentage of DDC-capable items may lead to greater efficiency when the number of subjects per site is significant.
Conclusions: The implementation of eSource DDC may enhance efficiency depending on the study framework and type and number of items to be collected.
期刊介绍:
Therapeutic Innovation & Regulatory Science (TIRS) is the official scientific journal of DIA that strives to advance medical product discovery, development, regulation, and use through the publication of peer-reviewed original and review articles, commentaries, and letters to the editor across the spectrum of converting biomedical science into practical solutions to advance human health.
The focus areas of the journal are as follows:
Biostatistics
Clinical Trials
Product Development and Innovation
Global Perspectives
Policy
Regulatory Science
Product Safety
Special Populations