The value of complementing administrative data with abstracted information on smoking and obesity: A study in kidney cancer

摘要

Introduction Variables, such as smoking and obesity, are rarely available in administrative databases. We explored the added value of including these data in an administrative database study evaluating the association of statin use with survival in kidney cancer. Methods We linked administrative data with chart-abstracted data on smoking and obesity for 808 patients undergoing nephrectomy for kidney cancer. Base models consisted of variables from administrative databases (age, sex, year of surgery, and different measures of comorbidity [to compare their sensitivity to smoking and obesity data]); extended models added chart-abstracted data. We compared coefficients for statin use with overall (OS) and cancer-specific survival (CSS), and used the c-statistic and net reclassification improvement (NRI) to compare predications of five-year survival obtained from Cox proportional hazard models. Results The coefficient for statin use changed minimally following addition of abstracted data ( Conclusions The inclusion of data on smoking and obesity marginally influences survival models in kidney cancer studies using administrative data.