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Data Management and Site-Visit Monitoring of the Multi-Center Registry in the Korean Neonatal Network
Journal of Korean Medical Science ; : S19-S24, 2015.
Article in English | WPRIM | ID: wpr-184018
ABSTRACT
The Korean Neonatal Network (KNN), a nationwide prospective registry of very-low-birth-weight (VLBW, < 1,500 g at birth) infants, was launched in April 2013. Data management (DM) and site-visit monitoring (SVM) were crucial in ensuring the quality of the data collected from 55 participating hospitals across the country on 116 clinical variables. We describe the processes and results of DM and SVM performed during the establishment stage of the registry. The DM procedure included automated proof checks, electronic data validation, query creation, query resolution, and revalidation of the corrected data. SVM included SVM team organization, identification of unregistered cases, source document verification, and post-visit report production. By March 31, 2015, 4,063 VLBW infants were registered and 1,693 queries were produced. Of these, 1,629 queries were resolved and 64 queries remain unresolved. By November 28, 2014, 52 participating hospitals were visited, with 136 site-visits completed since April 2013. Each participating hospital was visited biannually. DM and SVM were performed to ensure the quality of the data collected for the KNN registry. Our experience with DM and SVM can be applied for similar multi-center registries with large numbers of participating centers.
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Full text: Available Index: WPRIM (Western Pacific) Main subject: Societies, Medical / Registries / Data Collection / Infant, Very Low Birth Weight / Republic of Korea / Support Vector Machine / Hospitals Type of study: Prognostic study Limits: Humans / Infant, Newborn Country/Region as subject: Asia Language: English Journal: Journal of Korean Medical Science Year: 2015 Type: Article

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Full text: Available Index: WPRIM (Western Pacific) Main subject: Societies, Medical / Registries / Data Collection / Infant, Very Low Birth Weight / Republic of Korea / Support Vector Machine / Hospitals Type of study: Prognostic study Limits: Humans / Infant, Newborn Country/Region as subject: Asia Language: English Journal: Journal of Korean Medical Science Year: 2015 Type: Article