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2 "Bo Young Park"
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Original article
Comparison of HIV characteristics across 3 datasets: the Korea HIV/AIDS Cohort Study Prospective, Retrospective, and National Reporting System
Yunsu Choi, Jun Yong Choi, Bo Youl Choi, Bo Young Park, Shin-Woo Kim, Joon Young Song, Jung Ho Kim, Sang Il Kim
Epidemiol Health. 2024;e2024055.   Published online June 18, 2024
DOI: https://doi.org/10.4178/epih.e2024055    [Accepted]
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  • 26 Download
AbstractAbstract PDF
Abstract
OBJECTIVES
The Korea HIV/AIDS Cohort Study has been conducted prospectively for 18 years. However, it faces limitations in representing the entire population of patients with HIV in Korea. To address these limitations and validate the study design, we analyzed characteristics across several HIV datasets.
METHODS
We compared epidemiological and clinical characteristics from 3 datasets: the Korea HIV/AIDS Cohort Study (dataset 1, n=1,562), retrospective cohort data (dataset 2, n=2,665), and the national HIV reporting system of the Korea Disease Control and Prevention Agency (KDCA) (dataset 3, n=17,403).
RESULTS
The demographic characteristics of age, sex, and age at HIV diagnosis did not differ significantly across datasets. However, dataset 3 contained a higher percentage of patients diagnosed after 2008 (69.5%) than the other datasets. Regarding transmission routes, same-sex contact accounted for a greater proportion of dataset 1 (59.8%) compared to datasets 2 (20.9%) and 3 (32.6%). The percentage of patients with CD4 T-cell counts below 200/mm3 at HIV diagnosis was higher in datasets 1 (39.4%) and 2 (33.3%) compared to dataset 3 (16.3%). Initial HIV viral load measurements were not obtained for dataset 3.
CONCLUSIONS
The Korea HIV/AIDS Cohort Study demonstrated representativeness regarding the demographic characteristics of Korean patients. Of the sources, dataset 1 contained the most data on transmission routes. While the KDCA data encompassed all HIV patients, it lacked detailed clinical information. To improve the representativeness of the Korea HIV/AIDS Cohort Study, we propose expanding and revising the cohort design and enrolling more patients who have been recently diagnosed.
Summary
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
DOI: https://doi.org/10.4178/epih.e2020063
  • 12,127 View
  • 214 Download
  • 3 Web of Science
  • 3 Crossref
AbstractAbstract AbstractSummary PDFSupplementary Material
Abstract
OBJECTIVES
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.
METHODS
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.
RESULTS
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.
CONCLUSIONS
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.
Summary
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

Citations to this article as recorded by  
  • Adopting Data to Care to Identify and Address Gaps in Services for Children and Adolescents Living With HIV in Mozambique
    Belmiro Sousa, Sergio Chiale, Hayley Bryant, Lisa Dulli, Tanya Medrano
    Global Health: Science and Practice.2024; 12(2): e2300130.     CrossRef
  • Effect of characteristics on the clinical course at the initiation of treatment for human immunodeficiency virus infection using dimensionality reduction
    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
  • A Nationwide Evaluation of the Prevalence of Human Papillomavirus in Brazil (POP-Brazil Study): Protocol for Data Quality Assurance and Control
    Jaqueline Driemeyer Correia Horvath, Marina Bessel, Natália Luiza Kops, Flávia Moreno Alves Souza, Gerson Mendes Pereira, Eliana Marcia Wendland
    JMIR Research Protocols.2022; 11(1): e31365.     CrossRef

Epidemiol Health : Epidemiology and Health