Does Co-morbidity Provide Significant Improvement on Age Adjustment when Predicting Medical Outcomes?

Objective: Using three risk-adjustment methods we evaluated whether co-morbidity derived from electronic hospital patient data provided significant improvement on age adjustment when predicting major outcomes following an elective total joint replacement (TJR) due to osteoarthritis. Methods: Longitu...

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Veröffentlicht in:	Methods of information in medicine 2014-01, Vol.53 (2), p.115-120
Hauptverfasser:	Mnatzaganian, G., Ryan, P., Hiller, J. E.
Format:	Artikel
Sprache:	eng
Schlagworte:	age Age Factors Aged Aged, 80 and over Arthroplasty, Replacement - statistics & numerical data co-morbidity adjustment method Cohort Studies Comorbidity Decision Support Techniques Hospital morbidity data Hospital Mortality Humans Length of Stay Longitudinal Studies Male model discrimination Models, Statistical Mortality Original Articles Osteoarthritis - surgery Outcome Assessment (Health Care) Patient Readmission - statistics & numerical data readmission Risk Adjustment Survival Analysis
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