Data collection framework for electronic medical record-based real-world data to evaluate the effectiveness and safety of cancer drugs: a nationwide real-world study of the Korean Cancer Study Group

Author:

Han Hye Sook1,Lee Kyoung Eun2,Suh Young Ju3,Jee Hee-Jung4,Kim Bum Jun5,Kim Hyeong Su6,Lee Keun-Wook7,Ryu Min-Hee8,Baek Sun Kyung9,Park In Hae10,Ahn Hee Kyung11,Jeong Jae Ho8,Kim Min Hwan12,Lee Dae Hyung13,Kim Siheon4,Moon Hyemi4,Son Serim4,Byun Ji-Hye14,Kim Dong Sook15,An Hyonggin16,Park Yeon Hee17,Zang Dae Young18ORCID

Affiliation:

1. Department of Internal Medicine, Chungbuk National University College of Medicine, Chungbuk National University Hospital, Cheongju, Republic of Korea

2. Department of Hematology and Oncology, Ewha Womans University Hospital, Seoul, Republic of Korea

3. Department of Biomedical Sciences, College of Medicine, Inha University, Incheon, Republic of Korea

4. Department of Biostatistics, College of Medicine, Korea University, Seoul, Republic of Korea

5. Department of Internal Medicine, Hallym University Sacred Heart Hospital, Hallym University College of Medicine, Anyang-si, Republic of Korea

6. Department of Internal Medicine, Kangnam Sacred Heart Hospital, Hallym University College of Medicine, Seoul, Republic of Korea

7. Department of Internal Medicine, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam, Republic of Korea

8. Department of Oncology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea

9. Department of Internal Medicine, Kyung Hee University Medical Center, Seoul, Republic of Korea

10. Department of Internal Medicine, Korea University Guro Hospital, Korea University College of Medicine, Seoul, Republic of Korea

11. Department of Internal Medicine, Gachon University Gil Medical Center, Incheon, Republic of Korea

12. Department of Internal Medicine, Yonsei Cancer Center, Yonsei University College of Medicine, Seoul

13. Inha University Hospital, Incheon, Republic of Korea

14. Innovation Research Department, Health Insurance Review and Assessment Service, Wonju, Republic of Korea

15. Review & Assessment Research Department, Health Insurance Review and Assessment Service, Wonju, Republic of Korea

16. Department of Biostatistics, College of Medicine, Korea University, Anam-dong 5-ga, Seongbuk-gu, Seoul, 02841, Republic of Korea

17. Department of Medicine, Division of Hematology-Oncology, Samsung Medical Center, Sungkyunkwan University School of Medicine, 81 Irwon-ro, Gangnam-gu, Seoul 06351, Republic of Korea

18. Department of Internal Medicine, Hallym University Sacred Heart Hospital, Hallym University College of Medicine, 22 Gwanpyeong-ro 170 beon-gil Dongan-gu, Anyang-si, Gyeonggi-do 14068, Republic of Korea

Abstract

Background: Electronic medical records (EMRs) have the highest value among real-world data (RWD). The aim of the present study was to propose a data collection framework of EMR-based RWD to evaluate the effectiveness and safety of cancer drugs by conducting a nationwide real-world study based on the Korean Cancer Study Group. Methods: We considered all patients who received ramucirumab plus paclitaxel (RAM/PTX) for gastric cancer and trastuzumab emtansine (T-DM1) for breast cancer at relevant institutions in South Korea. Standard operating procedures for systematic data collection were prospectively developed. Investigator reliability was evaluated using the concordance rate between the recommended input value for representative fictional cases and the input value of each investigator. Reliability of collected data was evaluated twice during the study period at three institutions randomly selected using the concordance rate between the previously collected data and data collected by an independent investigator. The reliability results of the investigators and collected data were used for revision of the electronic data capture system and site training. Results: Between the starting date of medical insurance coverage and December 2018, a total of 1063 patients at 56 institutions in the RAM/PTX cohort and 824 patients at 60 institutions in the T-DM1 cohort were included. Mean investigator reliability in the RAM/PTX and T-DM1 cohorts was 73.5% and 71.9%, respectively. Mean reliability of collected data in the RAM/PTX and T-DM1 cohort was 90.0% for both cohorts in the first analysis and 89.0% and 84.0% in the second analysis, respectively. Mean missing values of the RAM/PTX and T-DM1 cohorts at the time of simulation of fictional cases and final data analysis decreased from 20.7% to 0.46% and from 18.5% to 0.76%, respectively. Conclusion: This real-world study provides a framework that ensures relevance and reliability of EMR-based RWD for evaluating the effectiveness and safety of cancer drugs.

Funder

Health Insurance Review & Assessment Service

Publisher

SAGE Publications

Subject

Oncology

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3