Feasibility and Acceptability of an LLM-based Chatbot for Family Caregivers: Evaluation Study
1 other identifier
interventional
60
1 country
1
Brief Summary
This study evaluates the feasibility and acceptability of using the artificial intelligence (AI) chatbot mobile application (an LLM-based Chatbot) to support the well-being of informal care partners of individuals with traumatic brain injury (TBI), dementia, or Huntington disease (HD). Over an 8-week intervention period, up to 60 care partners will engage with the application (app), spending four weeks focusing on physical health and four weeks focusing on mental health. Participants will complete surveys at the midpoint and end of the intervention period. Participants will also complete a semi-structured interview to discuss participants experience using an LLM-based Chatbot. The study team hypothesizes that care partners will find the chatbot acceptable and feasible to use in daily life, and that there will be low attrition and high completion rates of the study.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P25-P50 for not_applicable
Started Aug 2026
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
First Submitted
Initial submission to the registry
December 1, 2025
CompletedFirst Posted
Study publicly available on registry
December 12, 2025
CompletedStudy Start
First participant enrolled
August 1, 2026
ExpectedPrimary Completion
Last participant's last visit for primary outcome
May 31, 2027
Study Completion
Last participant's last visit for all outcomes
June 30, 2027
April 20, 2026
April 1, 2026
10 months
December 1, 2025
April 14, 2026
Conditions
Keywords
Outcome Measures
Primary Outcomes (1)
Feasibility and Acceptability as measured by the Feasibility Questionnaire
Feasibility Questionnaire (items are scaled from 1 to 5 to indicate level of agreement, where "1" indicates "strong disagreement" and "5" indicates "strong agreement"). Feasibility and Acceptability as measured by ≥80% of participants indicating that care partners either "Agree" or "Strongly Agree" that the different study elements are feasible and acceptable.
8 weeks (post intervention)
Secondary Outcomes (2)
Attrition as measured by the percent of participants completing the study
Baseline to post intervention interview (approximately 8-12 weeks)
Adherence as measured by the percentage of missing data over the course of the study
Baseline to 8 weeks
Study Arms (1)
Earkick app
EXPERIMENTALInterventions
Participants will download the app with the study team's help and set it up. The participants will select topics of interest to focus on during the 8-week use of the LLM-based Chatbot. Participants will choose one mental health related topic to focus on from weeks 1-4 and one physical health related topic to focus on from weeks 5-8. During these 4 week cycles the participants will be guided to engage with the app's "Chat" feature, which offers conversational support through interactions with the chatbot. Additionally, participants will complete surveys at baseline, the midpoint, and end of the 8-week intervention period. Participants will also complete a semi-structured interview to discuss their experience using the LLM-based Chatbot.
Eligibility Criteria
You may qualify if:
- Age 18 years or older
- Able to independently provide informed consent
- Able to read, speak, and understand English
- Have an Apple (iOS) smartphone, tablet, or laptop, have access to the internet and text messages, and be willing to use these resources for the study, including downloading and using the AI chatbot app (Earkick)
- Be caring for and adult with a medically documented diagnosis of TBI, dementia or Huntington disease (HD)
- Provide emotional, physical, and/or financial support/assistance to the individual with the TBI, dementia, or HD, indicating a response per protocol
- Indicate high levels of caregiver burden, confirmed using the 12-item Zarit Burden questionnaire (scores must be ≥20)
- Willing to complete all study assessments for the duration of their study participation
- Age 18 years or older
- Have a medically documented diagnosis of TBI, dementia or Huntington disease as noted per protocol
You may not qualify if:
- Professional, paid caregivers
- Anyone at the discretion of the Principal investigator (PI) that would be a preclusion of safe or meaningful participation
- Lives in a care facility (assisted living, nursing home) or is bedbound
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
University of Michigan
Ann Arbor, Michigan, 48109, United States
Study Officials
- PRINCIPAL INVESTIGATOR
Noelle Carlozzi, PhD
University of Michigan
Central Study Contacts
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- NA
- Masking
- NONE
- Purpose
- HEALTH SERVICES RESEARCH
- Intervention Model
- SINGLE GROUP
- Sponsor Type
- OTHER
- Responsible Party
- PRINCIPAL INVESTIGATOR
- PI Title
- Professor
Study Record Dates
First Submitted
December 1, 2025
First Posted
December 12, 2025
Study Start (Estimated)
August 1, 2026
Primary Completion (Estimated)
May 31, 2027
Study Completion (Estimated)
June 30, 2027
Last Updated
April 20, 2026
Record last verified: 2026-04
Data Sharing
- IPD Sharing
- Will share
- Time Frame
- The data will be available after the acceptance for publication of the main findings from the final dataset.
- Access Criteria
- Data is available upon request to the project manager. Requests for data sharing should be emailed to PMR-CODALab@med.umich.edu
Participant data collected during the trial, after de-identification, will be available for sharing with individuals in the scientific community, upon request, at the discretion of the Principal Investigator. The data will be available after the acceptance for publication of the main findings from the final dataset. The University of Michigan project manager will coordinate requests for data and maintain documentation for requests and distributions. An institutional data use agreement will be required before data is shared.