An AI-Generated, Personalized Question Prompt List Intervention for Patients With Hematologic Cancers

Purpose

The goal of this study is to evaluate the feasibility and preliminary efficacy of an artificial intelligence (AI)-generated personalized question prompt list (a list of suggested questions to ask during outpatient appointments) for patients with hematologic cancers. The intervention will involve tailoring a standardized prompt to patients' individual characteristics and concerns. This prompt will then be used to ask Washington University's (WashU) HIPAA compliant ChatGPT to generate personalized question lists for outpatient appointments. Analyses will assess the impact of personalized QPLs on patients' question-asking behavior; communicative self-efficacy; and self-reported amount and satisfaction with information obtained about their disease and its treatment. Sub-analyses will explore patterns in questions generated by WashU ChatGPT. Patients will also provide feedback pertaining to the perceived helpfulness and ease-of-use of WashU-ChatGPT-generated question lists, as well as their attitudes and intentions regarding use of AI chatbots and whether they would engage in pre-appointment AI-assisted question brainstorming independently in the future.

Conditions

  • Lymphoma
  • Multiple Myeloma

Eligibility

Eligible Ages
Between 20 Years and 99 Years
Eligible Sex
All
Accepts Healthy Volunteers
No

Criteria

Eligibility Criteria as determined by Electronic Health Record (EHR) Screening:

- Documented diagnosis of lymphoma, as defined by ICD-10 codes C81-C88 or multiple
myeloma, as defined by ICD codes C90.0-C90.02

- Has a scheduled follow-up appointment at a participating outpatient oncology clinic
within the next month. Participating clinics include:

- Dr. David Russler-Germain: Outpatient Lymphoma Clinic

- Dr. Michael Slade: Outpatient Multiple Myeloma Clinic

- Undergoing infusion or injection-based systemic therapy intended to cure or manage
the disease, as opposed to regimens delivered solely for palliative purposes, at a
frequency of once every 1-4 weeks.

- For eligible patients with lymphoma, this includes, but is not limited to,
commonly prescribed treatment combinations such as R-CHOP (Rituximab,
Cyclophosphamide, Doxorubicin/Hydroxydaunorubicin, Vincristine, and Prednisone)
for Non-Hodgkin Lymphoma, or ABVD (Adriamycin/Doxorubicin, Bleomycin,
Vinblastine, and Dacarbazine) for Hodgkin Lymphoma-both regimens that are
frequently administered every three weeks

- For patients with multiple myeloma, eligibility will include patients in the
"induction" phase of chemotherapy treatment, which frequently requires patients
to come in for outpatient appointments once every four weeks as well as
patients in a maintenance phase of treatment that otherwise requires them to
attend outpatient appointments at a frequency of every one to four weeks

- Between age 20-99 at enrollment (Patients aged 18-19 and older than 99 will be
excluded so that the study team is able to elicit questions from WashU ChatGPT using
a standardized prompt that describes the patient's age only as specifically as a
10-year decade range (i.e., "I am a patient in my 20's, 30's, 40's, etc.).

- Able to consent to medical care independently (does not have a legally authorized
representative or documented diagnosis of cognitive impairment)

Eligibility Criteria as determined by subsequent recruitment phone call or In-person
approach after a clinic appointment:

- Does not have visual impairments or English literacy limitations that would
interfere with ability to engage in an intervention that requires being able to read
material on an electronic device and on paper and communicate aloud during
appointments with health care providers, based on patient self-report

- Able to use email (consent form will be distributed electronically through DocuSign
and associated emails), based on successful completion of electronic informed
consent

Study Design

Phase
N/A
Study Type
Interventional
Allocation
N/A
Intervention Model
Single Group Assignment
Primary Purpose
Health Services Research
Masking
None (Open Label)

Arm Groups

ArmDescriptionAssigned Intervention
Experimental
GPT-QPL: An AI-Generated, Personalized Question Prompt List
Participants will complete surveys at appointment 1 (pre-intervention) and after being provided the AI-Generated, Personalized Question Prompt List at appointment 2 (post-intervention).
  • Other: GPT-QPL
    A research team member will generate a QPL that is personalized to the patient's demographics (from EHR screening and Baseline Demographic Survey) and concerns (from Distress Thermometer Problem Checklist and Interview).
    Other names:
    • AI-Generated, Personalized Question Prompt List

Recruiting Locations

Washington University in St. Louis and nearby locations

Washington University School of Medicine
St Louis, Missouri 63110
Contact:
Jessica Hahne, MA, MPH
314-935-6173
hahne.j@wustl.edu

More Details

NCT ID
NCT07226934
Status
Recruiting
Sponsor
Washington University School of Medicine

Study Contact

Jessica Hahne, MA, MPH
314-935-6173
hahne.j@wustl.edu