Open Access<p>Sensitivity, specificity, positive and negative predictive values of identifying atrial fibrillation using administrative data: a systematic review and meta-analysis</p>
Author(s) -
Ren Jie Robert Yao,
Jason G. Andrade,
Marc W. Deyell,
Heather Jackson,
Finlay A. McAlister,
Nathaniel M. Hawkins
Publication year - 2019
Publication title -
clinical epidemiology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.868
H-Index - 58
ISSN - 1179-1349
DOI - 10.2147/clep.s206267
Subject(s) - atrial fibrillation , medicine , meta analysis , predictive value , sensitivity (control systems) , cardiology , pooled analysis , systematic review , medline , biology , biochemistry , electronic engineering , engineering
Atrial fibrillation (AF) is the commonest arrhythmia and a major cause of stroke and health care utilization. Researchers and administrators use electronic health data to assess disease burden, quality and variance in care, value of interventions and prognosis. We performed a systematic review and meta-analysis to assess the validity of AF case definitions in administrative databases.