Medicine and Health Sciences Commons^™

Can Variables From The Electronic Health Record Identify Delirium At Bedside?, Ariba Khan, Kayla Heslin, Michelle Simpson, Michael L. Malone

Journal of Patient-Centered Research and Reviews

Delirium, a common and serious disorder in older hospitalized patients, remains underrecognized. While several delirium predictive models have been developed, only a handful have focused on electronic health record (EHR) data. This prospective cohort study of older inpatients (≥ 65 years old) aimed to determine if variables within our health system’s EHR could be used to identify delirium among hospitalized patients at the bedside. Trained researchers screened daily for delirium using the 3-minute diagnostic Confusion Assessment Method (3D-CAM). Patient demographic and clinical variables were extracted from the EHR. Among 408 participants, mean age was 75 years, 60.8% were female, and …

Brain Imaging In Older Patients With Delirium, Laila M. Hasan, Ariba Khan, Maharaj Singh, Michael L. Malone

Journal of Patient-Centered Research and Reviews

Background: Delirium is a common, serious and costly condition in older patients admitted to the hospital. This study describes the prevalence and results of brain imaging among a cohort of older hospitalized patients with and without delirium.

Purpose: Investigate the frequency and results of brain imaging in older patients with delirium as compared to those without delirium.

Methods: This was a cross-sectional study. Data were collected on hospitalized patients age 65 years or older who were admitted to 3 hospitals in Milwaukee, Wisconsin, during a 1-month period in the fall of 2013. Subjects were tested for delirium via the “Confusion …

Models For Predicting Incident Delirium In Hospitalized Older Adults: A Systematic Review, Sundeep Kalimisetty, Wajih Askar, Brenda Fay, Ariba Khan

Journal of Patient-Centered Research and Reviews

Purpose

The purpose of this systematic review is to summarize the reported risk prediction models and identify the most prevalent factors for incident delirium in older inpatient populations (age ≥ 65 years). In the future, these risk factors could be used to develop a delirium risk prediction model in the electronic health record that can be used by the Hospital Elder Life Program to reduce the incidence of delirium.

Methods

A medical librarian customized and conducted a search strategy for all published articles on delirium prediction models using an array of electronic databases and specific inclusion and exclusion criteria. Then, …

Models For Predicting Incident Delirium In Hospitalized Older Adults: A Systematic Review, Sundeep Kalimisetty, Wajih Askar, Brenda Fay, Ariba Khan

Journal of Patient-Centered Research and Reviews

Background: Delirium is common in hospitalized older adults, and 40% of cases may be preventable. Hospital Elder Life Program is an evidence-based program to reduce incidence of delirium. It has been successfully implemented in one hospital and will be implemented in four other hospitals. Identification of patients at highest risk of developing delirium using the electronic health record (EHR) may be an effective targeted strategy to reduce the incidence of delirium.

Purpose: To systematically review and summarize the medical literature regarding risk prediction models for delirium in older inpatients.

Methods: A medical librarian customized and conducted the search strategy for …