Coding algorithms for defining Charlson and Elixhauser co-morbidities in Read-coded databases

• Published in: BMC medical research methodology Vol. 19; no. 1; p. 115
• Main Authors: Metcalfe, David, Masters, James, Delmestri, Antonella, Judge, Andrew, Perry, Daniel, Zogg, Cheryl, Gabbe, Belinda, Costa, Matthew
• Format: Journal Article
• Language: English
• Published: England BioMed Central Ltd 06.06.2019; BioMed Central; BMC
• Subjects: Aged; Aged, 80 and over; Algorithms; Analysis; Cancer; Charlson; Clinical medicine; Codes; Comorbidity; Databases, Factual; Diabetes; Dictionaries; Elixhauser; Equality; Family medicine; Female; Fractures; Fractures (Injuries); Hip fractures; Hip Fractures - epidemiology; Hospital Mortality; Humans; Logistic Models; Lymphoma; Male; Medical research; Metastasis; Methods; Morbidity; Mortality; Patients; Primary care; Primary Health Care - statistics & numerical data; Read codes; Research methodology; Rheumatoid arthritis; Risk Adjustment; ROC Curve; Terms and phrases; United Kingdom - epidemiology; United Kingdom; United Kingdom > UK; Charlson; Comorbidity; Read codes; Elixhauser

Comorbidity measures, such as the Charlson Comorbidity Index (CCI) and Elixhauser Method (EM), are frequently used for risk-adjustment by healthcare researchers. This study sought to create CCI and EM lists of Read codes, which are standard terminology used in some large primary care databases. It a...