Billing code algorithms to identify cases of peripheral artery disease from administrative data.

ABSTRACT:

Objective

To construct and validate billing code algorithms for identifying patients with peripheral arterial disease (PAD).

Methods

We extracted all encounters and line item details including PAD-related billing codes at Mayo Clinic Rochester, Minnesota, between July 1, 1997 and June 30, 2008; 22 712 patients evaluated in the vascular laboratory were divided into training and validation sets. Multiple logistic regression analysis was used to create an integer code score from the training dataset, and this was tested in the validation set. We applied a model-based code algorithm to patients evaluated in the vascular laboratory and compared this with a simpler algorithm (presence of at least one of the ICD-9 PAD codes 440.20-440.29). We also applied both algorithms to a commu

SUBMITTER: Fan J 

PROVIDER: S-EPMC3861931 | biostudies-literature | 2013 Dec

REPOSITORIES: biostudies-literature