AI-Generated Question Lists for Hematologic Cancers
This study is testing a new way to help patients with lymphoma or multiple myeloma ask more questions during their doctor's appointments. It uses artificial intelligence (AI) to create a personalized list of questions, called GPT-QPL, based on your health information and concerns. The goal is to see if these personalized lists help you feel more confident asking questions and if you get more information about your disease and treatment. This study is looking for about 40 participants and is currently unclear on its recruitment status. Success will be measured by changes in how confident you feel asking questions before and after using the personalized list, which will be assessed over approximately 12 weeks.
- Study design
- This interventional study plans to enroll 40 participants. It is not specified if it is randomized or blinded.
- What's involved
- You would complete a baseline survey and interview, then receive a personalized question list for your follow-up appointment. Your confidence in asking questions will be measured before and after this intervention, over an estimated 12-week period.
- Compensation
- Not stated in the trial record.
- Follow-up
- Your communicative self-efficacy will be measured at two appointments, with the second appointment estimated to be 12 weeks after the first.
AI-generated from the public study record. Only the study team can confirm whether you're eligible — confirm details with them before making decisions.
An AI-Generated, Personalized Question Prompt List Intervention for Patients With Hematologic Cancers
At a glance
Conditions
NCT07226934
Where you'd take part
This study runs at 1 site. They're the same protocol — you choose where, and that choice sets who your contact draft is addressed to.
Washington University School of Medicine
St Louis, Missouristudy coordinator listed
Recruiting
Sites open and close at different times, so the status above is per site — it can differ from the study's overall status.
Study leadership
- Jessica Hahne, MA, MPH · PRINCIPAL_INVESTIGATOR · Washington University School of Medicine
Who to contact
Opens a ready-to-send draft in your own email app — review before sending.
What this trial measures
- Changes in communicative self-efficacyAppointment 1 (pre-intervention) and appointment 2 (post-intervention) (estimated to be 12 weeks)
* Communicative self-efficacy is measured by Self-efficacy survey . * Dependent samples t-tests will be used to assess within-subject changes. * The Self-Efficacy survey consists of two scales containing 10 questions each, with answers ranging from 1=not successful to 5=very successful or 1=not confident to 5=very confident. The total score on each scale ranges from 10-50 with a higher score on Scale 1 (the PEPPI-5) representing higher self-efficacy related to communicating with physicians in general and a higher score on Scale 2 (researcher-designed questions based on Social Cognitive Theory) representing higher self-perceived success at communication with the physician during the immediately preceding appointment.