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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
DOI: https://doi.org/10.4178/epih.e2020063
  • 13,895 View
  • 220 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
Original Article
Epidemiological characteristics of HIV infected Korean: Korea HIV/AIDS Cohort Study
Yunsu Choi, Bo Youl Choi, Soo Min Kim, Sang Il Kim, June Kim, Jun Young Choi, Shin-Woo Kim, Joon Young Song, Youn Jeong Kim, Dae Won Park, Hyo Youl Kim, Hee-Jung Choi, Mee-Kyung Kee, Young Hyun Shin, Myeongsu Yoo
Epidemiol Health. 2019;41:e2019037.   Published online September 3, 2019
DOI: https://doi.org/10.4178/epih.e2019037
  • 18,494 View
  • 355 Download
  • 24 Web of Science
  • 20 Crossref
AbstractAbstract AbstractSummary PDFSupplementary Material
Abstract
OBJECTIVES
To manage evidence-based diseases, it is important to identify the characteristics of patients in each country.
METHODS
The Korea HIV/AIDS Cohort Study seeks to identify the epidemiological characteristics of 1,442 Korean individuals with human immunodeficiency virus (HIV) infection (12% of Korean individuals with HIV infection in 2017) who visited 21 university hospitals nationwide. The descriptive statistics were presented using the Korea HIV/AIDS cohort data (2006-2016).
RESULTS
Men accounted for 93.3% of the total number of respondents, and approximately 55.8% of respondents reported having an acute infection symptom. According to the transmission route, infection caused by sexual contact accounted for 94.4%, of which 60.4% were caused by sexual contact with the same sex or both males and females. Participants repeatedly answered the survey to decrease depression and anxiety scores. Of the total participants, 89.1% received antiretroviral therapy (ART). In the initial ART, 95.3% of patients were treated based on the recommendation. The median CD4 T-cell count at the time of diagnosis was 229.5 and improved to 331 after the initial ART. Of the patients, 16.6% and 9.4% had tuberculosis and syphilis, respectively, and 26.7% had pneumocystis pneumonia. In the medical history, sexually transmitted infectious diseases showed the highest prevalence, followed by endocrine diseases. The main reasons for termination were loss to follow-up (29.9%) and withdrawal of consent (18.7%).
CONCLUSIONS
Early diagnosis and ART should be performed at an appropriate time to prevent the development of new infection.
Summary
Korean summary
국내 감염인은 대부분 성 접촉으로 인해 감염되었고, 감염인의 약 90%가 치료를 경험하였다. 하지만 여전히 결핵, 매독, 주폐포자충 폐렴 등과 같은 HIV 관련 질환의 유병률이 높았고, 치료를 통해 수명이 연장되어 노화 혹은 치료 약제 부작용과 관련된 HIV 비 관련 만성 질환의 유병률도 높았다. 향후 감염인의 HIV/AIDS 비 관련 질환에 대한 연구 및 사망 원인 등에 대한 후속 연구가 필요하겠다.

Citations

Citations to this article as recorded by  
  • Factors associated with health-related quality of life among people living with HIV in South Korea: Tobit regression analysis
    Gwang Suk Kim, Layoung Kim, SangA Lee, Mi-So Shim, Youngjin Lee, Seoyoung Baek, Claus Kadelka
    PLOS ONE.2024; 19(5): e0303568.     CrossRef
  • Smoothed quantile residual life regression analysis with application to the Korea HIV/AIDS cohort study
    Soo Min Kim, Yunsu Choi, Sangwook Kang, Korea HIV/AIDS cohort study
    BMC Medical Research Methodology.2024;[Epub]     CrossRef
  • Epidemiological and Clinical Characteristics of Women Living with HIV in Korea
    Sang Min Ahn, Yong Seop Lee, Min Han, Jung Ah Lee, Jae Eun Seong, Yae Jee Baek, JongHoon Hyun, Jung Ho Kim, Jin Young Ahn, Dong Hyun Oh, Su Jin Jeong, Ji Hyeon Baek, Nam Su Ku, Hee Kyoung Choi, Yoonseon Park, BumSik Chin, Young Keun Kim, Joon Sup Yeom, Yo
    Infection & Chemotherapy.2024; 56(3): 369.     CrossRef
  • Distribution of Opportunistic Pathogens in People Living with HIV at a University Hospital in Istanbul over a One-Year Treatment Period and Its Association with CD4 T Cell Counts
    Hayriye Kirkoyun Uysal, Muammer Osman Koksal, Kutay Sarsar, Pinar Soguksu, Gonca Erkose Genc, Gizem Yapar, Evrim Ozdemir, Mustafa Onel, Sevim Mese, Mehmet Demirci, Zayre Erturan, Eray Yurtseven, Omer Haluk Eraksoy, Ali Agacfidan
    Pathogens.2023; 12(10): 1226.     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
  • Epidemiological Analysis of HIV/AIDS in Kazakhstan During 2018-2020
    Galiya Bilibayeva, Dinara Ospanova, Anarkhan Nurkerimova, Farida Kussainova, Marat Tukeev, Moldir Shokybaeva, Shynar Tanabayeva, Ildar Fakhradiyev, Timur Saliev
    Journal of Research in Health Sciences.2023; 23(2): e580.     CrossRef
  • COPD Risk Factor Profiles in General Population and Referred Patients: Potential Etiotypes
    Jang Ho Lee, Sehee Kim, Ye-Jee Kim, Sei Won Lee, Jae Seung Lee, Yeon-Mok Oh
    International Journal of Chronic Obstructive Pulmonary Disease.2023; Volume 18: 2509.     CrossRef
  • Nationwide population-based incidence of cancer among patients with HIV/AIDS in South Korea
    Soon Ok Lee, Jeong Eun Lee, Shinwon Lee, Sun Hee Lee, Jin Suk Kang, Hyunjin Son, Hyungi Lee, Jinmi Kim
    Scientific Reports.2022;[Epub]     CrossRef
  • Risk of Anorectal Cancer Associated with Benign Anal Inflammatory Diseases: A Retrospective Matched Cohort Study
    Wonjeong Chae, Seung Yeon Kang, Sung-In Jang, Yoon Dae Han
    International Journal of Environmental Research and Public Health.2022; 19(12): 7467.     CrossRef
  • Cancer Incidence Among Adults With HIV in a Population-Based Cohort in Korea
    Boyoung Park, Kyoung Hwan Ahn, Yunsu Choi, Jung Ho Kim, Hye Seong, Youn Jeong Kim, Jun Young Choi, Joon Young Song, Eunjung Lee, Yoon Hee Jun, Young Kyung Yoon, Won Suk Choi, Myungsun Lee, Jaehyun Seong, Shin-Woo Kim
    JAMA Network Open.2022; 5(8): e2224897.     CrossRef
  • Comparison of Three Cardiovascular Risk Scores among HIV-Infected Patients in Korea: The Korea HIV/AIDS Cohort Study
    Ji Yun Bae, Soo Min Kim, Yunsu Choi, Jun Yong Choi, Sang Il Kim, Shin-Woo Kim, Bo Young Park, Bo Youl Choi, Hee Jung Choi
    Infection & Chemotherapy.2022; 54(3): 409.     CrossRef
  • Spatiotemporal Clusters and Trends of Pneumocystis Pneumonia in Korea
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    Sungshin Kwon, Jung-Eun Cho, Eun-Bin Lee, Yeon-Sook Kim, Jang-Wook Sohn
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    Scientific Reports.2021;[Epub]     CrossRef
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