#SPSS CODE ELIXHAUSER COMORBID INDEX CODE#
2005).įor example, the #5 ICD-9-CM code above is D25000, or “250.00”, which is for “Diabetes Mellitus Unspecified Type”. 1999) set of categories using a method published by Boersma (Boersma et al. “RCRI” is the Revised Cardiac Risk Index (Lee et al. “Quan” refers to the same paper by Quan mentioned above.
#SPSS CODE ELIXHAUSER COMORBID INDEX SOFTWARE#
“AHRQ37” is an adapation of the AHRQ version 37 software (Agency for Healthcare Research & Quality 2013). “Elixhauser” refers to the Elixhauser comorbidity map, which is a more detailed list than Charlson. 2005) refer to the primary authors of different methods of determining Charlson comorbidities from ICD-9-CM codes. The names “Deyo” (Deyo, Cherkin, and Ciol 1992), “Romano” (Romano, Roos, and Jollis 1993), and “Quan” (Quan et al. “Charlson” refers to the Charlson Comorbidity Index (Charlson et al. The package includes a set of mapping functions that transform a list of ICD-9-CM codes into a comorbidity matrix: In the meantime, there is a wealth of administrative data available within the ICD-9-CM diagnostic and procedural codes stored within US healthcare systems. It is likely that “dual coding” of claims in both sets will continue for some time. ICD-9-CM is updated annually.Īt some point, perhaps as soon as October 2015, ICD-10-CM codes will need to be used instead. National Center for Health Statistics (NCHS) developed ICD-9-CM, which has been required for Medicare and Medicaid claims since 1979. ICD-9-CM is an adaptation of the venerable ICD-9 standard which was developed in 1978. The coding system currently in use is ICD-9-CM. In the United States, the records for every inpatient and outpatient encounter is reviewed by a qualified medical coder who assigns a set of diagnosis and procedural codes based on phrases within the medical record. Medical chart abstraction just isn’t feasible for projects of this scale. The routines in the medicalrisk package (McCormick and Joseph 2015) are designed to help determine comorbidity and medical risk status of a given patient using several popular models published in the peer-reviewed literature.Īdministrative healthcare data is frequently the only available source for determining individual risk of mortality when looking at thousands or millions of patient records.