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. 2013 Winter;40(4):159-64.

Construction of a comorbidity index for prostate cancer patients linking state cancer registry with inpatient and outpatient data

Hong Xiao, Fei Tan, Pierre Goovaerts, Askal Ali, Georges Adunlin, Youjie Huang, Clement Gwede

Construction of a comorbidity index for prostate cancer patients linking state cancer registry with inpatient and outpatient data

Hong Xiao et al. J Registry Manag. 2013 Winter.

Abstract

Introduction: Identifying clinically relevant comorbid conditions might lead to effective control of prostate cancer- specific risk factors and provide opportunities to improve patient care and outcomes. There are challenges in assessing comorbidity using linked databases such as statewide hospital administrative data and state cancer registry. The objective was to compile a comprehensive list of clinically relevant comorbid conditions for patients with prostate cancer using registry and statewide diagnosis databases.

Methods: Florida Cancer Data System cases were linked with the inpatient/ outpatient diagnosis information. The Elixhauser Comorbidity Index was used as a reference. Conditions not captured by Elixhauser were identified, and grouped into clinically meaningful categories. Descriptive analysis was performed on comorbidity conditions and major study population variables. Associations of comorbidity with selected demographic and disease characteristics were examined.

Results: Twenty-nine Elixhauser and 16 additional categories were examined within the 1 record per patient data set. Statistically significant association was found between comorbidity with race, stage, and age. Blacks had a higher mean number of conditions compared to whites. A higher proportion of blacks had at least 1 comorbid condition compared to whites. Additional conditions identified by this research capture more comorbidities for white men. Distinct trends towards larger number of comorbidities with older age at diagnosis and advanced disease stage were observed.

Conclusions: The Elixhauser Comorbidity Index captured the majority of comorbidities in the study population while the additional conditions identified by this research add more information. This study offers important insights into the challenges and process to identify relevant comorbidities for prostate cancer patients.

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Figure 1
Flowchart of the Linkage Process
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