Original InvestigationPathogenesis and Treatment of Kidney DiseaseValidity of Administrative Database Coding for Kidney Disease: A Systematic Review
Section snippets
Methods
We conducted this review according to a detailed protocol, and reporting follows published research guidelines (Preferred Reporting Items for Systematic Reviews and Meta-analyses [PRISMA]5; protocol detailed in6).
Study Selection
We screened 19,317 citations, reviewed 722 full-text articles, and identified 25 articles that met eligibility for review.18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42 We present reasons for study exclusion in Fig 1. One study was considered for inclusion; however, because of unresolved discrepancies with the data resulting in the inability to calculate all necessary validity measures, the study was not included.43 Concordance between the 2
Discussion
Renal research using administrative data has increased dramatically since 1990. A simple PubMed search using the terms “database” and “kidney” identified 14 studies published in 1990 compared with 501 in 2008. Administrative data are useful and advance knowledge if they provide accurate and reliable estimates about the conditions under study. To consider this issue, we conducted a comprehensive global review of 25 studies, quantifying the accuracy of codes for 2 renal conditions, AKI and CKD.
Acknowledgements
We thank Dr Peter Blake, Dr Muhammad Mamdani, Mr Michael Paterson, and Dr Amardeep Thind for help and support.
Support: Research grant support was provided by the Canadian Institutes of Health Research (CIHR). Ms Vlasschaert was supported by a Canada Graduate Scholarship from the National Science and Engineering Research Council of Canada and a Schulich Graduate Scholarship from the University of Western Ontario. Dr Hackam was supported by a Clinician Scientist Award from the University of
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