Geriatrics Commons^™

The Missed And The Misdiagnosed: Geriatric Delirium In The Emergency Department, Christienne Shams, Yashar Eshman, Ronan Factora, Stephen Meldon, Saket Saxena

Journal of Geriatric Emergency Medicine

Background: Older patients with delirium are at increased risk for prolonged hospitalization, poor outcomes, higher costs and a greater risk for institutionalization. By identifying those at risk early, interventions can be implemented to prevent or minimize the severity of the delirium. Per hospital policy, our geriatric emergency department (ED) screens for delirium by performing a 4AT only if changes in mental status are noted by caregivers or healthcare providers familiar with the patient. We hypothesize this approach underestimates the prevalence of delirium on presentation to the ED, particularly among high-risk older patients. The aim of this study is to determine …

Examination Of Geriatric Care Processes Implemented In Level 1 And Level 2 Geriatric Emergency Departments, Ilianna Santangelo, Surriya Ahmad, Shan Liu, Lauren Southerland, Christopher Carpenter, Ula Hwang, Adriane Lesser, Nicole Tidwell, Kevin Biese, Maura Kennedy

Journal of Geriatric Emergency Medicine

Background: Older adults constitute a large and growing proportion of the population and have unique care needs in the emergency department (ED) setting. The geriatric ED accreditation program aims to improve emergency care provided to older adults by standardizing care provided across accredited geriatric EDs (GED) and through implementation of geriatric-specific care processes.

Objective: The purpose of this study was to evaluate select care processes at accredited level 1 and level 2 GEDs.

Methods: This was a cross-sectional analysis of a cohort of level 1 and level 2 GEDs that received accreditation between May 7, 2018 and …

Geriatric Emergency Medicine Fellowship Journal Club: Operational Changes For Recognizing Prevalent Delirium And Preventing Incident Delirium, Natalie M. Elder

Journal of Geriatric Emergency Medicine

N/A

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 …

Pitfalls Of Delirium Screening In Older Adults, Danya Khoujah, Debra Eagles

Journal of Geriatric Emergency Medicine

No abstract provided.

A Survey Of Delirium Self-Reported Knowledge And Practices Among Emergency Physicians In The United States, Anita N. Chary, Adriane Lesser, Sharon K. Inouye, Christopher R. Carpenter Md, Msc, Amy R. Stuck, Maura Kennedy

Journal of Geriatric Emergency Medicine

Objective: This study aimed to evaluate United States emergency physicians’ self-reported knowledge and practices regarding the detection, prevention, and management of delirium, a common and deadly syndrome that disproportionately affects older emergency department (ED) patients. Knowledge and practices of the broader emergency physician community about these priority topics in geriatric emergency medicine are understudied.

Design: Electronic self-administered online survey

Setting: United States

Participants: One-hundred ninety-seven emergency physicians of the American College of Emergency Physicians Emergency Medicine Practice Research Network

Measures: Descriptive statistics were generated from survey responses.

Results: Of 734 physicians in the research network who were sent the …

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 …

Delirium Recognition In Hospitalized Older Patients: A Quality Improvement Project, Jodi Punke, Ariba Khan, Michael L. Malone

Journal of Patient-Centered Research and Reviews

Background: We noted a low reported prevalence of delirium (3%) in hospitalized older patients at a community teaching hospital in north central Wisconsin.

Purpose: This was a quality improvement project to report recognition of delirium by nurses before and after an educational intervention.

Methods: This project was performed on one medical unit in our hospital. Quality improvement data was collected at baseline and after the educational intervention. Data collected included observation by a geriatrician attending weekly interdisciplinary rounds to note any mention by nurses of delirium or confusion. The patient’s electronic health record (EHR) was reviewed to note delirium assessment …

An Automated Model Using Electronic Health Record Data To Identify Delirium Among Hospitalized Older Adults: A Pilot Project, Ariba Khan, Maharaj Singh, Hina Singh, Ayesha Maria, Michelle Simpson

Journal of Patient-Centered Research and Reviews

Background: Delirium is a serious change in mental status with adverse outcomes, but remains underrecognized. The electronic health record (EHR) may assist in the identification of delirium.

Purpose: This study was performed to generate an automated delirium identification model using data from the EHR among hospitalized older adults.

Methods: Inpatients 65 years and older were included in this cross-sectional study. The researchers used “confusion assessment method” as the gold standard to identify delirium. Four categories of variables were obtained from the EHR on the day of and the day prior to researcher assessment: 1) hypoactive delirium (any one of the …