Building the foundation for veterinary register‐based epidemiology: A systematic approach to data quality assessment and validation. (13th August 2018)

• Record Type: Journal Article
• Authors: Birkegård, Anna Camilla; Fertner, Mette Ely; Jensen, Vibeke Frøkjær; Boklund, Anette; Toft, Nils; Halasa, Tariq; Lopes Antunes, Ana Carolina
• Is Part Of: Zoonoses and public health. Volume 65:Number 8(2018)
• Page Start: 936
• Page End: 946
• Publication Date: 2018-08-13
• Subjects: pigs -- quality assessment -- register data -- swine; Zoonoses -- Periodicals; Public health -- Periodicals; 636.0896959
• DOI: 10.1111/zph.12513
• Languages: English
• ISSNs: 1863-1959

Abstract

Abstract: Epidemiological studies often use data from registers. Data quality is of vital importance for the quality of the research. The aim of this study was to suggest a structured workflow to assess the quality of veterinary national registers. As an example of how to use the workflow, the quality of the following three registers was assessed: the Central Husbandry Register (CHR), the database for movement of pigs (DMP) and the national Danish register of drugs for veterinary use (VetStat). A systematic quantitative assessment was performed, with calculation the proportion of farms and observations with "poor quality" of data. "Poor" quality was defined for each measure (variable) either as a mismatch between and/or within registers, registrations of numbers outside the expected range, or unbalanced in‐ and outgoing movements. Interviews were conducted to make a complementary qualitative assessment. The proportion of farms and observations within each quality measure varied. This study highlights the importance of systematic quality assessment of register data and suggests a systematic approach for such assessments and validations without the use of primary data.