The MARVIN Chatbots to Provide Information for Different Health Conditions
A Master Research Protocol to Adapt and Evaluate an Artificial Intelligence Based Conversational Agent to Provide Information for Different Health Conditions: the MARVIN Chatbots
Study Overview
Status
Status
Conditions
Conditions
Intervention / Treatment
Intervention / Treatment
Detailed Description
Study Type
Study Type
Enrollment (Estimated)
Enrollment
Phase
Phase
- Not Applicable
Contacts and Locations
Study Contact
Study Contact
- Name: Bertrand Lebouché, MD
- Phone Number: 514-843-2090
- Email: bertrand.lebouche@mcgill.ca
Study Locations
-
-
Quebec
-
Montréal, Quebec, Canada, H2X 3E4
- Recruiting
- Centre hospitalier de l'Université de Montréal (CHUM)
-
Contact:
- Marie-Pacale Pomey, MD, PhD
- Phone Number: 14302 514 890 8000
- Email: marie-pascale.pomey@umontreal.ca
-
Montréal, Quebec, Canada, H4A 3J1
- Recruiting
- McGill University Health Centre (MUHC)
-
Contact:
- Bertrand Lebouché, MD, PhD
- Phone Number: 5148432090
- Email: bertrand.lecbouche@mcgill.ca
-
Sub-Investigator:
- Esli Osmanlliu, MDCM, MSc
-
-
Participation Criteria
Eligibility Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Description
Inclusion Criteria for all objectives:
- being 14 years or older;
- being fluent in English and/or French;
- being able to understand the requirements of study participation and provide informed consent during the duration of the study;
- having access to a smartphone, tablet, or computer at home/at workplace;
- having access to an internet connection at home or data plan on their device.
Inclusion Criteria Specific to objectives 2 and 3:
- accept to use a Facebook Messenger-based Chatbot;
- accept to use or create a personal Facebook account;
- accept Facebook's privacy and data security policies.
Exclusion Criteria:
- not meeting the inclusion criteria
- any reason, in the opinion of the investigator, which would make the candidate inappropriate for participation in an investigative study involving a chatbot (e.g., cognitive deficit)
Study Plan
How is the study designed?
Design Details
- Primary Purpose: Other
- Allocation: Non-Randomized
- Interventional Model: Parallel Assignment
- Masking: None (Open Label)
Number of Arms
Arms and Interventions
Participant Group / ArmParticipant Group / Arm |
Intervention / TreatmentIntervention / Treatment |
|---|---|
|
Other: MARVIN: a Chatbot for HIV patients
Co-construction of the chatbot, Usability study, Implementation, Evaluation of outcomes and Continuous improvements
|
Chatbot on Meta (Facebook) Messenger for HIV Patients
|
|
Other: MARVIN: a Chatbot for Community Pharmacists
Co-construction of the chatbots, Usability study, Implementation, Evaluation of outcomes and Continuous improvements
|
Chatbot on Meta (Facebook) Messenger for community pharmacists
|
|
Other: MARVINA: a Chatbot for Breast Cancer Patients
Co-construction of the chatbots, Usability study, Implementation, Evaluation of outcomes and Continuous improvements
|
Chatbot on Meta (Facebook) Messenger for breast cancer patients
|
|
Other: MARVIN CHAMP: a Chatbot for Pediatric Infectious Conditions
Co-construction of the chatbots, Usability study, Implementation, Evaluation of outcomes and Continuous improvements
|
CHatbot to Assist the Management of Pediatric patients with infectious conditions (CHAMP)
Other Names:
|
What is the study measuring?
Primary Outcome Measures
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Usability Metric for User eXperience (UMUX-Lite)
Time Frame: Immediately, after 1-month of testing - objective 2
|
The UMUX-Lite is a 2-item questionnaire, answered on a 7-point Likert scale (1 = strongly disagree to 5 = strongly agree), that was deemed appropriate for evaluating medical technology.
The items ask whether the chatbot meets the user's needs and the user's perceived ease of use.
Scores range from 0 to 100, with more than 68 being considered high usability according to the literature.
|
Immediately, after 1-month of testing - objective 2
|
|
Acceptability E-Scale (AES)
Time Frame: Immediately after 1-month of testing - objective 2
|
The AES contains 6 items rated with different 5-point Likert scales (e.g., 1=very difficult to 5=very easy).
It is a validated measure of acceptability and usability of computer-based interventions for health populations.
Scores range from 0 to 30, and according to the literature, scores above 24 are considered high acceptability.
|
Immediately after 1-month of testing - objective 2
|
|
Change in Acceptability E-Scale (AES) over 12 months
Time Frame: Once every 3 months within 12 months
|
The AES contains 6 items rated with different 5-point Likert scales (e.g., 1=very difficult to 5=very easy).
It is a validated measure of acceptability and usability of computer-based interventions for health populations.
Scores range from 0 to 30, and according to the literature, scores above 24 are considered high acceptability.
|
Once every 3 months within 12 months
|
|
Change in Intervention Appropriateness Measure (IAM) over 12 months
Time Frame: Once every 3 months within 12 months
|
Appropriateness relates to the relevance or compatibility of the innovation to address a particular issue or problem.
The compatibility of an information technology innovation is the extent of which it is considered consistent with users' values, needs, and past experiences.
The Compatibility Subscale is a validated tool that contains three items and evaluates on 7-points Likert scales (1 = extremely disagree to 7 = extremely agree) how an IT innovation "fits" with the user's work style.
A modified version could be used by healthcare professionals, such as pharmacists.
|
Once every 3 months within 12 months
|
|
Change in Compatibility Subscale over 12 months
Time Frame: Once every 3 months within 12 months
|
Appropriateness relates to the relevance or compatibility of the innovation to address a particular issue or problem.
The compatibility of an information technology innovation is the extent of which it is considered consistent with users' values, needs, and past experiences.
A validated tool that could be used by patients is the Intervention Appropriateness Measure (IAM).
It also contains 4 items scored on a five-point Likert scale (1=strongly disagree to 5=strongly agree) of agreement evaluating how the innovation is suitable for users.
|
Once every 3 months within 12 months
|
Collaborators and Investigators
Sponsor
Sponsor
Collaborators
Collaborators
Investigators
Investigators
- Principal Investigator: Bertrand Lebouché, MD, McGill University Health Centre/Research Institute of the McGill University Health Centre
Publications and helpful links
Study record dates
Study Major Dates
Study Start (Actual)
Study Start
Primary Completion (Estimated)
Primary Completion
Study Completion (Estimated)
Study Completion
Study Registration Dates
First Submitted
First Submitted
First Submitted That Met QC Criteria
First Submitted That Met QC Criteria
First Posted (Actual)
First Posted
Study Record Updates
Last Update Posted (Estimated)
Last Update Posted
Last Update Submitted That Met QC Criteria
Last Update Submitted That Met QC Criteria
Last Verified
Last Verified
More Information
Terms related to this study
Keywords
- Adherence
- Breast Cancer
- HIV
- Telehealth
- mHealth
- Self-Management
- Artificial Intelligence
- Care
- Digital Health
- Antiretroviral Therapy
- Implementation Science
- Chatbot
- Pediatric Emergency Medicine
- Intelligent Conversational Agent
- Co-Construction
- Adaptive Platform Trial Design
- Patient and Stakeholder Engagement
- Pediatric Infection
- Large Language Models
Additional Relevant MeSH Terms
Other Study ID Numbers
Other Study ID Numbers
- MP-37-2023-9333
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
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