Evaluation of algorithms to identify delirium in administrative claims and drug utilization database.

ABSTRACT:

Purpose

To evaluate the performance of delirium-identification algorithms in administrative claims and drug utilization data.

Methods

We used data from a prospective study of 184 older adults who underwent aortic valve replacement at a single academic medical center to evaluate the following delirium-identification algorithms: (1) International Classification of Diseases (ICD) diagnosis codes for delirium; (2) antipsychotics use; (3) either ICD diagnosis codes or antipsychotics use; and (4) both ICD diagnosis codes and antipsychotics use. These algorithms were evaluated against a validated bedside assessment, the Confusion Assessment Method, and a validated delirium severity scale, the CAM-S.

Results

Delirium occurred in 66 patients (36%), of which 14 (21%) had hypera

SUBMITTER: Kim DH 

PROVIDER: S-EPMC5583076 | biostudies-literature | 2017 Aug

REPOSITORIES: biostudies-literature