Artificial Intelligence + Care Coach Intervention

Not Applicable

Completed

• Conditions: Caregiver; Artificial Intelligence; Care Transition; Dementia; Emergency Department

• Registration Number: NCT05352399
• Lead Sponsor: Yale University

Brief Summary

The purpose of this research study is to develop and test an artificial intelligence intervention for emergency department (ED) discharge care transitions experienced by caregivers of older adults with cognitive impairment.

Detailed Description

Not available

Study Timeline

• Study First Submitted: 2022-04-18
• Study First Submitted QC: 2022-04-26
• Study First Posted: 2022-04-28
• Study Start: 2023-03-20
• Primary Completion: 2024-06-30
• Study Completion: 2024-06-30
• Results First Submitted: 2025-06-24
• Status Verified: 2025-07
• Results First Submitted QC: 2025-07-16
• Last Update Submitted: 2025-07-16
• Results First Posted: 2025-08-05
• Last Update Posted: 2025-08-05

Recruitment & Eligibility

• Status: COMPLETED
• Sex: All
• Target Recruitment: 40

Inclusion Criteria

• age ≥65 years with a diagnosis of dementia within the electronic health record OR new cognitive impairment identified during an ED visit
• be fluent in English or Spanish
• discharge after an ED visit
• possession of a smart device (either a phone, tablet, or computer) that has internet access to utilize and interact with NeuViCare AI services

Exclusion Criteria

• evidence of delirium, by the 4-AT screening tool

Study & Design

• Study Type: INTERVENTIONAL
• Study Design: SINGLE_GROUP

Primary Outcome Measures

Name	Time	Method
Intervention Appropriateness Measure	Day 7 and 30	Appropriateness is defined as the perceived fit, relevance, or compatibility of the innovation for a given setting or consumer, and/or perceived fit of the innovation to address a particular issue or problem. The measure consists of 4 questions, with an overall score range of 4-20 (higher scores suggest increased appropriateness). Administration time is 1-2 minutes. Measured by survey.
Feasibility of Intervention Measure	Day 7 and 30	Feasibility is defined as the extent to which a new innovation can be successfully used or carried out within a given setting. The measure consists of 4 questions, with an overall score range of 4-20 (higher scores suggest increased feasibility). Administration time is 1-2 minutes. Measured by survey.
Acceptability of Intervention Measure	Day 7 and 30	Acceptability is defined as the perception that a given innovation is agreeable, palatable, or satisfactory. The measure consists of 4 questions, with an overall score range of 4-20 (higher scores suggest increased acceptability). Administration time is 1-2 minutes. Measured by survey.
System Usability Scale	Day 7 and 30	Usability encapsulates several aspects including subjective component assessments of effectiveness, efficiency, and satisfaction. The System Usability Scale consists of 10 questions on effectiveness, efficiency, and satisfaction, with an overall score range of 10-50 (higher scores suggest increased usability). Administration time is 3-5 minutes. Measured by survey.

Secondary Outcome Measures

Name	Time	Method
Quality of Life (QOL) in Alzheimer's Disease (AD) Scale (QOL-AD)	Day 0, 7 and 30	Total score range 13-52; higher scores indicate better QOL.
Dyadic Relationship Scale (DRS)	Day 0, 7 and 30	DRS to measure strain between the caregiver and recipient within the last 30 days. Total score range 4-20. High scores indicate high levels of strain.
Zarit Caregiver Burden Scale	Day 0, 7 and 30	The Zarit Caregiver Burden Scale consists of 4 items with the total score ranging between 0-16. Higher scores indicate greater burden. Administration time is approximately 10-15 minutes. Measured by survey.
Fortinsky Caregiver Self-Efficacy Scale	Day 0, 7, and 30	Used to evaluate the coping ability of daily living. The measure has a total score range from 10-100, with higher scores representing greater self-efficacy. Administration time is approximately 3-5 minutes. Measured by survey.

Trial Locations

Locations (1)

Yale New Haven Hospital; 🇺🇸 New Haven, Connecticut, United States