Educational Tools for Advance Care Planning in Young Adults with Advanced Cancers

This study is looking at whether educational tools can improve early advance care planning (ACP) for adolescents and young adults (AYAs) with advanced solid tumors or high-grade brain tumors. Advance care planning involves making decisions about your future medical care. You might be able to join if you are between 18 and 39 years old and have been recently diagnosed (within 12 months) with a stage III/IV solid tumor or a high-grade brain tumor. The study will measure how practical it is to use these educational tools and how satisfied participants are with them. The current recruitment status is unclear.

Study design
This study plans to enroll 50 participants. It is an interventional study, meaning participants will receive specific interventions.
What's involved
Participants will attend an Advance Care Planning (ACP) appointment and watch an on-demand educational video about early ACP. There will also be electronic health record reviews and surveys.
Compensation
Not stated in the trial record.
Follow-up
Participants will be followed for up to 1 year to assess the feasibility and their satisfaction with the interventions.

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NCT07174661

Educational Tools for the Improvement of Early Advance Care Planning in Adolescents and Young Adults With Advanced Solid Tumors and High-Grade Brain Tumors

Recruiting
NAAges 18–39InterventionalSupportive care
Mayo Clinic
~50 participants
Updated 2026-07-08 on ClinicalTrials.gov
What's tested:Advance Care PlanningEducational InterventionElectronic Health Record ReviewSurvey Administration

At a glance

Recruiting sites
1 of 1 listed site is recruiting right now
RecruitingSuspended, closed, or not yet open
What they're measuring
Feasibility of implementing routine, early Advance Care Planning (ACP)
Measured over Up to 1 year
+1 more outcome measured
Advanced Malignant Solid Neoplasm
Malignant Brain Neoplasm
Recurrent Advanced Malignant Solid Neoplasm
1 sites across 1 states
Arizona1
  • Allison C. Rosenthal, DO · PRINCIPAL_INVESTIGATOR · Mayo Clinic

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Eligibility criteria

Inclusion

Age 18-39 at initial cancer diagnosis
Patient \<18 years of age are not included in this pilot as Mayo Clinic in Arizona (MCA) does not treat pediatric patients
Recently diagnosed (defined as 12 months or less from initial diagnosis or advance stage relapse) with either a stage III/IV solid malignancy or high-grade brain tumor. This includes patients who have stage III/IV recurrence of previously stage I/II solid malignancy
Actively receiving primary oncologic care at Mayo Clinic Arizona
Able to read, understand, and speak English
Those who have completed prior advanced directive documents are still eligible to participate.

Exclusion

Age \< 18 or \> 39 at initial cancer diagnosis
Diagnosed with stage I/II solid malignancy, low-grade brain tumor, or hematologic malignancy
Not receiving primary oncologic care at Mayo Clinic Arizona
Unable to read, understand, and speak English
Patients \> 12 months from initial diagnosis or advanced stage relapses, in survivorship or on hospice
No internet or computer/smart phone access
  • Feasibility of implementing routine, early Advance Care Planning (ACP)Up to 1 year

    Feasibility is achieved if 60% of participants can complete the baseline survey, view the pre-appointment educational video, and attend the hour-long ACP appointment. Baseline survey completion will be defined as answering at least 80% of the survey questions. Video viewing will be assessed via a single yes/no survey item presented after the video. Results will be analyzed descriptively.

  • Satisfaction with each intervention component (Acceptability)Up to 1 year

    Acceptability is defined as majority satisfaction with each intervention component. Participants will be asked to rate their experience with the educational ACP video and ACP appointment on a 4-point Likert scale (e.g., very helpful, somewhat helpful, a little helpful, not helpful) using 4 questions regarding each intervention's usefulness and recommendations to peers. Higher scores indicate greater satisfaction and/or greater likelihood of recommending to peers. Descriptive statistics will be utilized to broadly analyze the sample.