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Conversations in Health Literacy Using AI Technology for Osteoarthritis Patients (CHAT-OA)

University of California (UC) Davis logo

University of California (UC) Davis

Status

Enrolling

Conditions

Osteoarthritis of the Hip or Knee
Osteoarthritis

Treatments

Other: Artificial Intelligence Chatbot

Study type

Interventional

Funder types

Other

Identifiers

NCT06778486
2169004

Details and patient eligibility

About

The goal of this clinical trial is to assess the use of a generative artificial intelligence large language model chatbot in improving decision making factors in patients with hip and knee osteoarthritis. The main questions it aims to answer are:

Does the use of an artificial intelligence chatbot have an effect on decisional conflict and anxiety related to decision making? Are changes in decisional conflict correlated with changes in patient reported outcomes? Are changes in decisional conflict correlated with health literacy? Participants will interact with an artificial intelligence chatbot prior to their clinic visit with an orthopaedic surgeon, using a structured prompt.

Enrollment

100 estimated patients

Sex

All

Ages

18 to 99 years old

Volunteers

No Healthy Volunteers

Inclusion criteria

  • Adult
  • Ability to read and write in English
  • All races and ethnicities
  • Clinical symptoms of hip and/or knee osteoarthritis

Exclusion criteria

  • Inability to read and write in English

Trial design

Primary purpose

Other

Allocation

Randomized

Interventional model

Parallel Assignment

Masking

None (Open label)

100 participants in 2 patient groups

Standard of care
No Intervention group
Description:
This arm will undergo standard clinical care without the intervention.
Artificial Intelligence Chatbot
Experimental group
Description:
This arm will interact with an artificial intelligence chatbot prior to their clinic visit.
Treatment:
Other: Artificial Intelligence Chatbot

Trial contacts and locations

1

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Central trial contact

David Dallas-Orr, MD, MBA, MTM; Kenzie Usher, CCRP

Data sourced from clinicaltrials.gov

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