NCT06652854

Brief Summary

Patients are waiting for surgery longer than ever before. While hospitals are trying to get patients access to surgery as quickly as possible, a shortage of anesthesia doctors (called anesthesiologists) prevents this. Every surgery needs an anesthesiologist, but anesthesiologists also assess patients beforehand to ensure they can safely undergo surgery and help patients understand what to expect and the risks involved. Ensuring that patients move through surgery as safely and efficiently as possible requires that the limited number of anesthesiologists in Canada work as efficiently as possible. Technology like Artificial Intelligence (AI), in programs such as ChatGPT, might assist by answering common questions patients have, allowing anesthesiologists to focus their limited time on addressing complex and personalized issues for each patient. However, studies conducted so far on how well AI can answer questions about anesthesia and surgery have been poorly designed and have not included patients as members of the research team. This study will determine whether AI can answer patients' questions before surgery as effectively as both patients and expert anesthesiologists would expect, which could be beneficial to patients and the healthcare system.

Trial Health

43
At Risk

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Trial has exceeded expected completion date
Enrollment
190

participants targeted

Target at P50-P75 for all trials

Timeline
Completed

Started Dec 2024

Shorter than P25 for all trials

Geographic Reach
1 country

1 active site

Status
not yet recruiting

Health score is calculated from publicly available data and should be used for screening purposes only.

Trial Relationships

Click on a node to explore related trials.

Study Timeline

Key milestones and dates

First Submitted

Initial submission to the registry

October 17, 2024

Completed
5 days until next milestone

First Posted

Study publicly available on registry

October 22, 2024

Completed
2 months until next milestone

Study Start

First participant enrolled

December 9, 2024

Completed
6 months until next milestone

Primary Completion

Last participant's last visit for primary outcome

May 30, 2025

Completed
1 month until next milestone

Study Completion

Last participant's last visit for all outcomes

June 30, 2025

Completed
Last Updated

October 22, 2024

Status Verified

October 1, 2024

Enrollment Period

6 months

First QC Date

October 17, 2024

Last Update Submit

October 18, 2024

Conditions

Outcome Measures

Primary Outcomes (1)

  • knowledge

    Patients will be blinded to the source of the two responses (GPT-4 and Anesthesiologist). After reading both responses, they will complete a questionnaire that includes an 11-point Likert-scale question for the primary outcome of knowledge: "To what extent does the response address the knowledge or information you hoped to gain?" (0 = not at all addressed; 10 = fully addressed)

    From the date of the pre-anesthesia consultation until 2 weeks after the consultation, assessed over a period of up to 2 weeks post-consultation

Secondary Outcomes (1)

  • Patient satisfaction

    From the date of the pre-anesthesia consultation until 2 weeks after the consultation, assessed over a period of up to 2 weeks post-consultation

Other Outcomes (1)

  • Tertiary outcomes

    From the date of the pre-anesthesia consultation until 2 weeks after the consultation, assessed over a period of up to 2 weeks post-consultation

Study Arms (2)

Patient scheduled for a pre-surgery consultation with a physician anesthesiologist

After obtaining consent, patients will be asked to respond to the following query: "What is the most important question you had hoped to ask your anesthesiologist today about your anesthesia care, pain management or the time immediately around surgery?'.

Specialty-trained anesthesiologists in independent practice within the pre-admission

anesthesiologists will be designated as either "response generators" or "response raters." Response generators will craft answers to patient queries, while response raters-anesthesiologists with over five years of clinical experience-will evaluate the quality of these responses.

Eligibility Criteria

Age18 Years+
Sexall
Healthy VolunteersYes
Age GroupsAdult (18-64), Older Adult (65+)
Sampling MethodProbability Sample
Study Population

Adults having an in-person preoperative anesthesiology consultation before elective surgery at The Ottawa Hospital

You may qualify if:

  • Patients
  • \. Age \> 18 years 2. Elective non-cardiac surgery 3. In-person preoperative anesthesiology consultation 4. Ability to participate and provide informed consent independently.

You may not qualify if:

  • \. Unable to communicate in English or French 2. Nurse consultation only
  • Physicians
  • Anesthesiology residents or staff providing service at the PAU at TOH
  • Anesthesiology residents or staff unwilling to participate in the research study.

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (1)

Ottawa Hospital Research Institute

Ottawa, Ontario, ON K1Y 4E9, Canada

Location

Central Study Contacts

Arnaud Romeo, Mbadjeu Hondjeu, MD

CONTACT

Daniel McIsaac, MD

CONTACT

Study Design

Study Type
observational
Observational Model
COHORT
Time Perspective
PROSPECTIVE
Sponsor Type
OTHER
Responsible Party
SPONSOR

Study Record Dates

First Submitted

October 17, 2024

First Posted

October 22, 2024

Study Start

December 9, 2024

Primary Completion

May 30, 2025

Study Completion

June 30, 2025

Last Updated

October 22, 2024

Record last verified: 2024-10

Data Sharing

IPD Sharing
Will not share

The data collected from this study will not be shared with other researchers, however the data may be used to inform and guide future research on the integration of AI technologies in clinical practice, particularly in improving patient communication and decision-making during pre-anesthesia consultations.

Locations