Ontology highlight
ABSTRACT: Background
Benchmarking outcomes across settings commonly requires risk-adjustment for co-morbidities that must be derived from extant sources that were designed for other purposes. A question arises as to the extent to which differing available sources for health data will be concordant when inferring the type and severity of co-morbidities, how close are these to the "truth". We studied the level of concordance for same-patient comorbidity data extracted from administrative data (coded from International Classification of Diseases, Australian modification,10th edition [ICD-10 AM]), from the medical chart audit, and data self-reported by men with prostate cancer who had undergone a radical prostatectomy.Methods
We included six hospitals (5 public and 1 private) contributin
SUBMITTER: Sheriffdeen A
PROVIDER: S-EPMC7488579 | biostudies-literature | 2020 Sep
REPOSITORIES: biostudies-literature