
Analysis of Outcomes After TKA: Do All Databases Produce Similar Findings?
Author(s) -
Nicholas A. Bedard,
Andrew J. Pugely,
Michael McHugh,
Nathan R. Lux,
Jesse E. Otero,
Kevin J. Bozic,
Yubo Gao,
John J. Callaghan
Publication year - 2018
Publication title -
clinical orthopaedics and related research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.178
H-Index - 204
eISSN - 1528-1132
pISSN - 0009-921X
DOI - 10.1007/s11999.0000000000000011
Subject(s) - medicine , current procedural terminology , reimbursement , database , medline , comorbidity , diagnosis code , demographics , emergency medicine , surgery , population , health care , demography , environmental health , sociology , computer science , political science , law , economics , economic growth
Use of large clinical and administrative databases for orthopaedic research has increased exponentially. Each database represents unique patient populations and varies in their methodology of data acquisition, which makes it possible that similar research questions posed to different databases might result in answers that differ in important ways.