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.
journal_name
Health Informatics Jjournal_title
Health informatics journalauthors
Peng M,Southern DA,Williamson T,Quan Hdoi
10.1177/1460458216647089subject
Has Abstractpub_date
2017-12-01 00:00:00pages
260-267issue
4eissn
1460-4582issn
1741-2811pii
1460458216647089journal_volume
23pub_type
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