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A systematic review and critical appraisal of validation studies to identify rheumatic diseases in health administrative databases.
MedLine Citation:
PMID:  23436765     Owner:  NLM     Status:  Publisher    
OBJECTIVE: Toevaluate the quality of the methods and reporting of published studies that validate administrative database algorithms for rheumatic diseasecase ascertainment. METHODS: We systematically searched MEDLINE,Embase and the reference lists of articles published from 1980 to 2011. We included studies that validated administrative data algorithms for rheumatic disease case ascertainment using medical record or patient-reported diagnoses as the reference standard. Each study was evaluated using published standards for the reporting and quality assessmentofdiagnostic accuracy, which informedthe development of a methodological framework to help critically appraise and guide research in this area. RESULTS: Twenty-three studies met the inclusion criteria. Administrative database algorithms to identify cases were most frequently validated against diagnoses in medical records (83%).Almost two-thirds of the studies (61%) useddiagnosis codesin administrative datato identify potential cases, and then reviewed medical records to confirm the diagnoses. The remaining studies did the reverse, identifying patients using a reference standard,and then testingalgorithms to identify cases in administrative data. Manyauthors (61%)described the patient population,but few(26%) reported key measures of diagnostic accuracy (sensitivity, specificity, positive and negative predictive values). Only one-thirdof studiesreported disease prevalence in the validation study sample. CONCLUSION: Methods used in administrative data validation studies of rheumatic diseases are highly variable.Few studies report key measures of diagnostic accuracy, despite their importance for drawing conclusions about the validity of administrative database algorithms. We developeda methodological framework and recommendationsfor validation study conduct and reporting. © 2013 by the American College of Rheumatology.
Jessica Widdifield Bsc; Jeremy Labrecque; Lisa Lix; J Michael Paterson; Sasha Bernatsky; Karen Tu; Noah Ivers; Claire Bombardier
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Publication Detail:
Type:  JOURNAL ARTICLE     Date:  2013-2-22
Journal Detail:
Title:  Arthritis care & research     Volume:  -     ISSN:  2151-4658     ISO Abbreviation:  Arthritis Care Res (Hoboken)     Publication Date:  2013 Feb 
Date Detail:
Created Date:  2013-2-25     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  101518086     Medline TA:  Arthritis Care Res (Hoboken)     Country:  -    
Other Details:
Languages:  ENG     Pagination:  -     Citation Subset:  -    
Copyright Information:
Copyright © 2013 by the American College of Rheumatology.
University of Toronto, Toronto, ON.
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