Doig, ChristopherJolley, Rachel2015-02-102015-06-232015-02-102015Jolley, R. (2015). Validation of an ICD-10 coded case definition for the identification of patients diagnosed with sepsis and severe sepsis using administrative data (Master's thesis, University of Calgary, Calgary, Canada). Retrieved from https://prism.ucalgary.ca. doi:10.11575/PRISM/28626http://hdl.handle.net/11023/2101Background: We assessed the validity of existing ICD case definitions used to identify sepsis in administrative data and validated and optimized an existing ICD-10-CA coding algorithm to identify patients diagnosed with sepsis. Methods: Standard systematic review methodology was applied to assess the validity of ICD case definitions for sepsis. The CIHI ICD-10-CA coding algorithm for sepsis was validated and optimized using a randomly selected cohort of ICU and non-ICU patients. Sensitivity (Sn), specificity (Sp), positive predictive value (PPV), and negative predictive value (NPV) were calculated. Results: Twelve studies were identified in the systematic review with a range of diagnostic accuracy reported indicating that sepsis is highly under-coded. We increased the accuracy of the CIHI ICD-10-CA coding algorithm for sepsis (Sn: 71.9%, NPV: 66.6%) and severe sepsis (Sn: 65.1%, NPV: 70.1%) while slightly decreasing Sp and PPV. Conclusions: Sepsis is highly under-coded in administrative data. The new definition has a much higher sensitivity and negative predictive value.  engUniversity of Calgary graduate students retain copyright ownership and moral rights for their thesis. You may use this material in any way that is permitted by the Copyright Act or through licensing that has been assigned to the document. For uses that are not allowable under copyright legislation or licensing, you are required to seek permission.EpidemiologyHealth Care ManagementMedicine and SurgerySepsisAdministrative DataICD-10master thesis10.11575/PRISM/28626