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Brief Communication
Prospective cohort data quality assurance and quality control strategy and method: Korea HIV/AIDS Cohort Study
Soo Min Kim, Yunsu Choi, Bo Youl Choi, Minjeong Kim, Sang Il Kim, Jun Young Choi, Shin-Woo Kim, Joon Young Song, Youn Jeong Kim, Mee-Kyung Kee, Myeongsu Yoo, Jeong Gyu Lee, Bo Young Park
Epidemiol Health. 2020;42:e2020063.   Published online September 4, 2020
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AbstractAbstract AbstractSummary PDFSupplementary Material
The aim of effective data quality control and management is to minimize the impact of errors on study results by identifying and correcting them. This study presents the results of a data quality control system for the Korea HIV/AIDS Cohort Study that took into account the characteristics of the data.
The HIV/AIDS Cohort Study in Korea conducts repeated measurements every 6 months using an electronic survey administered to voluntarily consenting participants and collects data from 21 hospitals. In total, 5,795 sets of data from 1,442 participants were collected from the first investigation in 2006 to 2016. The data refining results of 2015 and 2019 were converted into the data refining rate and compared.
The quality control system involved 3 steps at different points in the process, and each step contributed to data quality management and results. By improving data quality control in the pre-phase and the data collection phase, the estimated error value in 2019 was 1,803, reflecting a 53.9% reduction from 2015. Due to improvements in the stage after data collection, the data refining rate was 92.7% in 2019, a 24.21%p increase from 2015.
Despite this quality management strategy, errors may still exist at each stage. Logically possible errors for the post-review refining of downloaded data should be actively identified with appropriate consideration of the purpose and epidemiological characteristics of the study data. To improve data quality and reliability, data management strategies should be systematically implemented.
Korean summary
이 연구는 한국 에이즈 코호트 자료의 연구 목적과 역학적 특성을 고려한 체계적인 질 관리 방법과 결과를 제시한다. 시간적 선후 관계를 고려한 로직을 활용한 자료정제 과정을 비롯한 3단계의 체계적인 질 관리 방법은 이제껏 없었던 국내 코호트 자료 질 관리에 도움이 될 것으로 사료된다.


Citations to this article as recorded by  
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    Belmiro Sousa, Sergio Chiale, Hayley Bryant, Lisa Dulli, Tanya Medrano
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    Yunsu Choi, Bo Youl Choi, Sang Il Kim, Jungsoon Choi, Jieun Kim, Bo Young Park, Soo Min Kim, Shin-Woo Kim, Jun Yong Choi, Joon Young Song, Youn Jeong Kim, Hyo Youl Kim, Jin-Soo Lee, Jung Ho Kim, Yoon Hee Jun, Myungsun Lee, Jaehyun Seong
    Scientific Reports.2023;[Epub]     CrossRef
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    JMIR Research Protocols.2022; 11(1): e31365.     CrossRef

Epidemiol Health : Epidemiology and Health