title: Under-coding of secondary conditions in coded hospital health data: Impact of co-existing conditions, death status and number of codes in a record.
abstract: This study examined the coding validity of hypertension, diabetes, obesity and depression related to the presence of their co-existing conditions, death status and the number of diagnosis codes in hospital discharge abstract database. We randomly selected 4007 discharge abstract database records from four teaching hospitals in Alberta, Canada and reviewed their charts to extract 31 conditions listed in Charlson and Elixhauser comorbidity indices. Conditions associated with the four study conditions were identified through multivariable logistic regression. Coding validity (i.e. sensitivity, positive predictive value) of the four conditions was related to the presence of their associated conditions. Sensitivity increased with increasing number of diagnosis code. Impact of death on coding validity is minimal. Coding validity of conditions is closely related to its clinical importance and complexity of patients' case mix. We recommend mandatory coding of certain secondary diagnosis to meet the need of health research based on administrative health data.
authors.affiliation: University of Calgary, Canada.
authors.forename: Mingkai
authors.initials: M
authors.lastname: Peng
authors.affiliation: University of Calgary, Canada.
authors.forename: Danielle A
authors.initials: DA
authors.lastname: Southern
authors.affiliation: University of Calgary, Canada.
authors.forename: Tyler
authors.initials: T
authors.lastname: Williamson
authors.affiliation: University of Calgary, Canada.
authors.forename: Hude
authors.initials: H
authors.lastname: Quan
mesh_terms: D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D000416:Alberta / Q000453:epidemiology; D002908:Chronic Disease / Q000453:epidemiology; D059019:Clinical Coding / Q000379:methods / Q000592:standards* / Q000706:statistics & numerical data*; D015897:Comorbidity; D005260:Female; D006761:Hospitals / Q000706:statistics & numerical data; D006801:Humans; D016015:Logistic Models; D008297:Male; D008499:Medical Records / Q000706:statistics & numerical data*; D008875:Middle Aged
keywords: coding validity; hospital discharge data; secondary conditions (hypertension, diabetes, obesity and depression)