Performance of Electronic Prediction Rules for Prevalent Delirium at Hospital Admission.

ABSTRACT:

Importance

Delirium at admission is associated with increased hospital morbidity and mortality, but it may be missed in up to 70% of cases. Use of a predictive algorithm in an electronic medical record (EMR) system could provide critical information to target assessment of those with delirium at admission.

Objectives

To develop and assess a prediction rule for delirium using 2 populations of veterans and compare this rule with previously confirmed rules.

Design, setting, and participants

In a diagnostic study, randomly selected EMRs of hospitalized veterans from the Veterans Affairs (VA) External Peer Review Program at 118 VA medical centers with inpatient facilities were reviewed for delirium risk factors associated with the National Institute for Health and Clinical

SUBMITTER: Halladay CW 

PROVIDER: S-EPMC6324279 | biostudies-literature | 2018 Aug

REPOSITORIES: biostudies-literature