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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
  • 12,129 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
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    JMIR Research Protocols.2022; 11(1): e31365.     CrossRef
Method
A suggestion for quality assessment in systematic reviews of observational studies in nutritional epidemiology
Jong-Myon Bae
Epidemiol Health. 2016;38:e2016014.   Published online April 26, 2016
DOI: https://doi.org/10.4178/epih.e2016014
  • 22,260 View
  • 253 Download
  • 56 Web of Science
  • 59 Crossref
AbstractAbstract AbstractSummary PDFSupplementary Material
Abstract
OBJECTIVES
It is important to control the quality level of the observational studies in conducting meta-analyses. The Newcastle-Ottawa Scale (NOS) is a representative tool used for this purpose. We investigated the relationship between high-quality (HQ) defined using NOS and the results of subgroup analysis according to study design.
METHODS
We selected systematic review studies with meta-analysis which performed a quality evaluation on observational studies of diet and cancer by NOS. HQ determinations and the distribution of study designs were examined. Subgroup analyses according to quality level as defined by the NOS were also extracted. Equivalence was evaluated based on the summary effect size (sES) and 95% confidence intervals computed in the subgroup analysis.
RESULTS
The meta-analysis results of the HQ and cohort groups were identical. The overall sES, which was obtained by combining the sES when equivalence was observed between the cohort and case-control groups, also showed equivalence.
CONCLUSIONS
The results of this study suggest that it is more reasonable to control for quality level by performing subgroup analysis according to study design rather than by using HQ based on the NOS quality assessment tool.
Summary
Korean summary
관찰연구에 대한 메타분석을 수행할 때, 선정된 논문들의 질적 수준을 통제하기 위해 개발된 Newcastle-Ottawa Scale (NOS)는 평가 항목의 속성상 환자-대조군연구보다는 코호트 연구에서 High quality (HQ) 판정이 될 가능성이 높다. 이에, 식이와 암의 관련성을 연구한 관찰연구에 대한 메타분석에 있어 대부분의 코호트 연구를 HQ로 판정하였기에, HQ 군과 Cohort 군의 메타분석 결과는 동일하였다. 코호트군과 환자-대조군 간의 summary effect size (sES)가 동질성을 보일 경우 이를 합친 Overall sES 또한 동질성을 보였다. 이에, 식이역학에 특화된 질적평가도구가 개발되기 까지는 NOS를 적용하기 보다는 연구설계별로 하부군 분석을 하는 것을 권한다.

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