Role of ChatGPT in Vestibular Schwannoma Management
Trial Snapshot
- Phase
- Not Applicable
- Status
- Withdrawn
- Enrollment
- 30
- Primary Endpoint
- Changes in scores of Decisional Conflict Scale after ChatGPT use
Study Overview
Brief Summary
Previous studies have demonstrated that patients frequently undergo significant decision conflict regarding major medical decisions in otolaryngology. There lack validated tools available for decision support for patients. While limited evidence has demonstrated that clinical decision support tools can alleviate decision conflict for patients with diagnosis in otolaryngology, conversational language models were not employed in these studies and may provide additional benefit in this context. This study seeks to evaluate the efficacy of using ChatGPT, a conversational language model with basic clinical knowledge, in alleviating decision conflict for patients with new diagnosis in otolaryngology. For this pilot study, vestibular schwannoma, a benign tumor that develops on the vestibular nerve with known clinical equipoise, has been chosen for the initial study diagnosis. Efficacy will be evaluated by comparison of responses to the Decisional Conflict Scale (DCS) and Satisfaction with Decision (SWD) scores between a group given training in ChatGPT and a control group (no ChatGPT training).
Study Design
- Study Type
- Interventional
- Allocation
- Randomized
- Intervention Model
- Parallel
- Primary Purpose
- Health Services Research
- Masking
- None
Eligibility Criteria
- Ages
- 18 Years to — (Adult, Older Adult)
- Sex
- All
- Accepts Healthy Volunteers
- Yes
Inclusion Criteria
- •18 years or older
- •Diagnosed with vestibular schwannoma
- •Have access to internet-enabled device that is compatible with ChatGPT
Exclusion Criteria
- •< 18 years old
- •patient without diagnosis of vestibular schwannoma
- •patient does not have access to internet-enabled device
- •patient who declines study participation
Outcomes
Primary Outcomes
Changes in scores of Decisional Conflict Scale after ChatGPT use
Time Frame: baseline, 1 week follow up, 2 week follow up
The Decisional Conflict Scale (DCS) measures 5 dimensions of decision making (feeling: uncertain, uninformed, unclear about values, unsupported; ineffective decision making). 15-item validated questionnaire. Score range 5-75 (higher score corresponding to higher levels of conflict in decision making)
Changes in scores of Satisfaction with Decision after ChatGPT use
Time Frame: baseline, 1 week follow up, 2 week follow up
The Satisfaction with Decision (SWD) scale measures satisfaction with health care decisions. 6-item validated questionnaire. Score range 5-30 (higher score corresponding to higher levels of satisfaction with decision)
Changes in scores for Knowledge on vestibular schwannoma management after ChatGPT use
Time Frame: baseline, 1 week follow up, 2 week follow up
4-item questionnaire (Likert scale) assessing participants' confidence in understanding the diagnosis and treatment options for vestibular schwannoma. Score range 5-20 (higher score corresponding to higher levels of confidence in understanding diagnosis and management of vestibular schwannoma)
Secondary Outcomes
No secondary outcomes reported
Investigators
Janet Choi
Assistant Professor
University of Southern California