Calculating measures of comorbidity using administrative data
Vicki Stagg ()
Additional contact information
Vicki Stagg: University of Calgary
West Coast Stata Users' Group Meetings 2007 from Stata Users Group
Abstract:
The development of a Stata program to calculate published measures of comorbidity will be of value to researchers working with inpatient discharge data coded in ICD-9-CM or ICD-10. The “comorbid” module calculates the weighted sum of comorbidities, as well as comorbidity scores based on the Charlson Index, which reflects the cumulative increase in likelihood of one-year mortality from comorbidities. This module allows for the calculation of three different comorbidity measures: ICD-9-CM, Enhanced ICD-9-CM or ICD-10 (Quan et al, 2005). Exclusion of less severe comorbidities can occur using an optional hierarchical method which excludes from the calculations a mild comorbidity when a patient has also exhibited a more severe form of the same diagnosis. The comparable “elixhauser” command calculates the sum of this alternate set of comorbidity measures which may be associated with negative hospital outcomes (Elixhauser et al, 1998). Both Stata algorithms can handle patients or visits as the observational unit. Options allow for a choice of summary output.
Date: 2007-10-31
References: Add references at CitEc
Citations:
Downloads: (external link)
http://repec.org/wcsug2007/Stagg_Stata_Presentation_final.ppt presentation slides (application/x-mspowerpoint)
http://repec.org/wcsug2007/stagg_notes_final.pdf (application/pdf)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:boc:wsug07:10
Access Statistics for this paper
More papers in West Coast Stata Users' Group Meetings 2007 from Stata Users Group Contact information at EDIRC.
Bibliographic data for series maintained by Christopher F Baum ().