Introduction And Background: Delirium occurs frequently among elderly patients in the Emergency Department (ED), and accurate assessment is difficult without knowledge of the patient's usual cognitive functioning. This audit was designed to determine whether routine cognitive screening of elderly patients in ED could lead to early identification of delirium.
Methodology: An audit using the abbreviate mental test (AMT) and Confusion Assessment Method (CAM) tools assessed 28 elderly ED patients for the presence of delirium.
Results: Fourteen (50%) of the 28 patients had no cognitive deficit on admission. Eleven (39.3%) displayed a cognitive deficit other than delirium and three (10.7%) had delirium, but only one had been diagnosed prior to the audit.
Discussion: The prevalence rate of delirium in elderly ED patients was similar to those reported in the literature. The audit demonstrated the importance of cognitive assessment, as cognitive changes can be an early and sensitive indicator of physiological dysfunction. However, the AMT had limitations which inhibited its use in ED. A four question version known as the AMT4 may be more suitable.
Recommendations: ED nurses should routinely establish baseline cognitive functioning and assess for delirium. The AMT4 may be more suitable because of its brevity, but requires further research.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1016/j.ienj.2008.01.005 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Perspectives on Swedish Regulations for Online Record Access Among Adolescents With Serious Health Issues and Their Parents: Mixed Methods Study.
JMIR Pediatr Parent
January 2025
Participatory eHealth and Health Data Research Group, Department of Women's and Children's Health, Uppsala University, Uppsala, Sweden.
Background: With the increasing implementation of patient online record access (ORA), various approaches to access to minors' electronic health records have been adopted globally. In Sweden, the current regulatory framework restricts ORA for minors and their guardians when the minor is aged between 13 and 15 years. Families of adolescents with complex health care needs often desire health information to manage their child's care and involve them in their care.
View Article and Find Full Text PDFInternet-Based Dementia Prevention Intervention (DementiaRisk): Protocol for a Randomized Controlled Trial and Knowledge Translation.
JMIR Res Protoc
January 2025
McMaster University, Hamilton, ON, Canada.
Background: Research has shown that engaging in a range of healthy lifestyles or behavioral factors can help reduce the risk of developing dementia. Improved knowledge of modifiable risk factors for dementia may help engage people to reduce their risk, with beneficial impacts on individual and public health. Moreover, many guidelines emphasize the importance of providing education and web-based resources for dementia prevention.
View Article and Find Full Text PDFEstablishment and Maintenance of a Digital Therapeutic Alliance in People Living With Negative Symptoms of Schizophrenia: Two Exploratory Single-Arm Studies.
JMIR Ment Health
January 2025
Boehringer Ingelheim Pharmaceuticals, Inc., Ridgefield, CT, United States.
Background: Evidence-based digital therapeutics represent a new treatment modality in mental health, potentially providing cost-efficient, accessible means of augmenting existing treatments for chronic mental illnesses. CT-155/BI 3972080 is a prescription digital therapeutic under development as an adjunct to standard of care treatments for patients 18 years of age and older with experiential negative symptoms (ENS) of schizophrenia. Individual components of CT-155/BI 3972080 are designed based on the underlying principles of face-to-face treatment.
View Article and Find Full Text PDFMultimodal Pain Recognition in Postoperative Patients: Machine Learning Approach.
JMIR Form Res
January 2025
Department of Computer Science, University of California, Irvine, Irvine, CA, United States.
Background: Acute pain management is critical in postoperative care, especially in vulnerable patient populations that may be unable to self-report pain levels effectively. Current methods of pain assessment often rely on subjective patient reports or behavioral pain observation tools, which can lead to inconsistencies in pain management. Multimodal pain assessment, integrating physiological and behavioral data, presents an opportunity to create more objective and accurate pain measurement systems.
View Article and Find Full Text PDFEnhancing Diagnostic Accuracy of Lung Nodules in Chest Computed Tomography Using Artificial Intelligence: Retrospective Analysis.
J Med Internet Res
January 2025
Department of Health Policy and Management, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, United States.
Background: Uncertainty in the diagnosis of lung nodules is a challenge for both patients and physicians. Artificial intelligence (AI) systems are increasingly being integrated into medical imaging to assist diagnostic procedures. However, the accuracy of AI systems in identifying and measuring lung nodules on chest computed tomography (CT) scans remains unclear, which requires further evaluation.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!