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Confusion clinical trials

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NCT ID: NCT06176625 Active, not recruiting - Delirium Clinical Trials

Sight and Hearing Investigation Into Effects on Delirium

SHIELD
Start date: January 11, 2023
Phase: N/A
Study type: Interventional

The goal of this observational study is to learn about sensory loss in hospital patients with delirium. The main questions it aims to answer are: - Are hearing and vision loss related to increased risk of having delirium? - Do hearing and vision loss contribute to more severe delirium? - Do sensory loss and/or delirium affect patient satisfaction with hospital care? Participants will be asked to: - answer delirium screening questions, - undergo hearing & vision screenings, and - complete questionnaires about the hospital stay. The second part of this study is a clinical trial. Researchers will compare different hospital units to see if changing communication affects the number of patients with delirium. The main questions it aims to answer are: • Does sharing information about communication and/or providing hearing devices change the number of hospital patients with delirium? Participants in the study will be asked to complete delirium screenings and answer questions about their hearing and communication.

NCT ID: NCT02465307 Active, not recruiting - Delirium Clinical Trials

Intelligent Intensive Care Unit

ICU_Delirium
Start date: February 2016
Phase:
Study type: Observational

Delirium, as a common complication of hospitalization, poses significant health problems in hospitalized patients. Though about a third of delirium cases can benefit from intervention, detecting and predicting delirium is still very limited in practice. A common characterization of delirium is change in activity level, causing patients to become hyperactive or hypoactive which is manifested in facial expressions and total body movements. This pilot study is designed to test the feasibility of a delirium detection system using movement data obtained from 3-axis wearable accelerometers and commercially available camera with facial recognition video system in conjunction with electronics medical record (EMR) data to analyze the relation of whole-body movement and facial expressions with delirium.