id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
work_nn2jolctirht5ngzd4v5ubtgmq	Swastina Shrestha	Diagnostic accuracy of administrative data algorithms in the diagnosis of osteoarthritis: a systematic review	2016.0	12	.pdf	application/pdf	7307	901	56	Diagnostic accuracy of administrative data algorithms in the diagnosis of osteoarthritis: a systematic review Background: Administrative health care data are frequently used to study disease burden and treatment outcomes The purpose of this study is to perform a systematic review of administrative data algorithms for OA diagnosis; and, to evaluate the diagnostic characteristics of algorithms based on restrictiveness and reference standards. sensitivity and specificity of algorithms and calculated positive likelihood ratio (LR+) and positive predictive value (PPV) less restrictive algorithms when reference standards were self-report and American college of Rheumatology (ACR) The algorithms compared to reference standard of physician diagnosis had higher sensitivity and specificity than Conclusions: Restrictive algorithms are more specific for OA diagnosis and can be used to identify cases when false understanding the validity of administrative data algorithms for identifying health outcomes of interest [7, 8]. We conducted a systematic literature review of diagnostic accuracy studies of administrative data algorithms for	./cache/work_nn2jolctirht5ngzd4v5ubtgmq.pdf	./txt/work_nn2jolctirht5ngzd4v5ubtgmq.txt