Prostate CancerNCT07836933
Cancer Oriented Understanding and Navigation Via Supportive and Educational Language Models (COUNSEL)
A study testing AI-guided COUNSEL Intervention and Questionnaires in people with Prostate Cancer and Prostatic Neoplasms, run by University of California, San Francisco at 1 site in United States.
Trial summary
A randomized, open-label behavioral study designed to evaluate the feasibility, acceptability, and early impact of a large language model (LLM)-based artificial intelligence (AI) tool to support patient understanding following an initial oncology consultation. Read more about this study
- Who is it for?
- Ages 18 years and older
- Conditions the study is for
- Prostate Cancer, Prostatic Neoplasms, Patient Education as Topic
- What is being tested?
- AI-guided COUNSEL Intervention and Questionnaires
- Type of treatment
- Lifestyle or therapy programme
- Could I receive a placebo?
- Yes, some participants may receive a placebo
- How many people
- 50 participants
- Where
- 1 siteUnited States
- Study dates
- 31 Oct 2026to 30 Apr 2028
- Phase
- Interventional
- Are there results?
- Not yet: the study is under way
Key requirements
Who can take part, as listed by the sponsor. Only the study team can confirm whether you are eligible, so take this list to your doctor.
- Ages 18 years and older
- All sexes
- No healthy volunteers
- Adult, Older adult
Who may be able to join
- Age ≥18 years.
- Histologically or cytologically confirmed diagnosis of localized prostate cancer
- Newly diagnosed and planning to undergo or recently completed a radiation or surgical oncology consult at University of California, San Francisco (UCSF)
- Eastern Cooperative Oncology Group (ECOG) performance status of 0-2
- English-speaking and able to participate in study teleconferences
- Ability to understand and willingness to sign a written informed consent document
- Access to a device and internet connection sufficient for teleconference participation
Who cannot join
- Prior definitive treatment for prostate cancer (e.g., surgery, radiation, or systemic therapy)
- Cognitive, sensory, or language impairment that would interfere with the ability to understand, participate in, or complete the study procedures
- Inability or unwillingness to participate in two study-related teleconferences
- Current enrollment in another interventional clinical trial that may interfere with study participation
- Inability to comply with protocol requirements (e.g., completing surveys or using the information-tracking log)
Trial locations and contacts
1 site in 1 country. Contact the study team or a site near you to ask about taking part.
United States1 site
University of California, San Francisco
San Francisco, California, 94143
UCSF Genitourinary Medical Oncology Recruitment, 877-827-3222, GUTrials@ucsf.edu
Julian Hong, MD, MS
About this study
A randomized, open-label behavioral study designed to evaluate the feasibility, acceptability, and early impact of a large language model (LLM)-based artificial intelligence (AI) tool to support patient understanding following an initial oncology consultation.
Read the detailed description
PRIMARY OBJECTIVE:
- To evaluate the impact of a LLM-based intervention on patients' perceived quality, breadth, and depth of cancer-related information following a radiation or surgical oncology consult.
SECONDARY OBJECTIVES:
- To assess patient- and provider-perceived levels of shared decision making. II. To evaluate changes in patient-reported distress. III. To compare concordance between patient and provider perceptions of shared decision making.
EXPLORATORY OBJECTIVES:
- To identify qualitative themes and usage patterns in patient interactions with the LLM.
II. To evaluate resource utilization based on information-seeking behavior logs collected during follow-up.
OUTLINE: Participants will be randomized to an intervention or control arm. Participants will attend two teleconference meetings: the first within 2 days after an oncology consultation and a follow-up session approximately 21 days later. Participants will also complete study surveys and logs.
- Being tested
- AI-guided COUNSEL Intervention, Questionnaires
- Keywords
- Artificial Intelligence
- Medical subject headings
- Prostatic Neoplasms
What participants receive
What participants receive. In a randomised study each person is assigned to one group by chance.
AI-guided COUNSEL InterventionBehavioural
An AI-guided, interactive educational tool that allows participants to interact with a large language model (LLM) will be delivered via teleconference.
QuestionnairesBehavioural
Participant and clinicians will complete questionnaires
| Study group | Role | What they receive |
|---|---|---|
| Intervention Arm | Experimental | AI teleconferences with Large Language Model (LLM) interaction Receives: Behavioral: AI-guided COUNSEL Intervention; Behavioral: Questionnaires |
| Control Arm | Placebo comparator | AI teleconferences without LLM interaction Receives: Behavioral: Questionnaires |
What is being measured
The primary outcome is the main question the study is designed to answer.
Mean differences on EORTC QLQ-INFO25 - Patient-Perceived Cancer-Related Information
Patient-perceived quality, breadth, and depth of cancer-related information received following an oncology consultation, as measured by the European Organisation for Research and Treatment of Cancer Quality of Life Questionnaire (EORTC QLQ-INFO25) survey. The EORTC QLQ-INFO25 comprises four multi-item scales and eight single items to assess the level and quality of information received by cancer patients. Scores for all scales and single items range from 0-100. The survey uses a 4-point Likert scale (1 = "not at all' to 4 = "very much") and some yes/no questions. Higher scores represent a greater patient-perceived level of shared decision-making. Mean differences between treatment groups will be reported with 95% confidence intervals, along with Hedges' g effect sizes. A Mann-Whitney U test will be used for sensitivity analysis.
Measured: Up to 2 days
Secondary outcomes (3)
Mean differences on SDM-Q-9 and SDM-Q-Doc - Patient- and Provider-Perceived Shared Decision Making
Perceived shared decision making will be assessed from both patient and clinician perspectives using the 9-item Shared Decision Making Questionnaire (SDM-Q-9) and the Shared Decision Making Questionnaire-Physician Version (SDM-Q-Doc), respectively. Each item is rated on a 6-point Likert scale from 0 (completely disagree) to 5 (completely agree), with total scores ranging from 0 to 45. Higher scores indicate greater perceived levels of shared decision making from the patient or clinician perspective. Mean differences between groups will be reported using Welch's t-test, along with the 95% confidence intervals.
Measured: Day 21
Mean differences on NCCN Distress Thermometer - Patient-Reported Distress
Patient-reported distress will be assessed using the National Comprehensive Cancer Network (NCCN) Distress Thermometer at Day 2 and Day 21. The Distress Thermometer is a single-item measure rated on a 0-10 scale, where 0 = "No distress" and 10 = "Extreme distress. Mean differences will be reported with 95% confidence intervals, along with Hedges' g effect sizes and 95% confidence intervals. Descriptive statistics will also be reported.
Measured: Up to 21 days
Patient-Provider Concordance in Shared Decision Making
Concordance between patient and provider perceptions of shared decision making will be assessed by comparing SDM-Q-9 and SDM-Q-Doc scores within each study arm. Concordance will be evaluated using an intraclass correlation coefficient (ICC). Bland-Altman plots will be used to visualize treatment group differences in concordance. ICC estimates and Bland-Altman plots will be reported.
Measured: Day 21
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted23 Sep 2026
- Study start31 Oct 2026 (estimated)
- Primary completion30 Nov 2027 (estimated)
- Study completion30 Apr 2028 (estimated)
Resources
- Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
- Other trials for Prostate CancerStudies of the same condition, open and under way.
- More trials run by University of California, San FranciscoThe sponsor's other registered studies.
- What the trial phases meanHow a treatment moves from first tests in people to approval.
More details
For doctors and researchers: how the study is designed, who runs it, and its registry IDs.
Study design
- Study type
- Interventional
- Phase
- Phase N/A
- Primary purpose
- Supportive care
- Allocation
- Randomised
- Intervention model
- Parallel groups
- Masking
- None (open label)
- Enrolment
- 50 participants (estimated)
Sponsor and investigators
- Lead sponsor
- University of California, San Francisco
- Sponsor type
- University, hospital or other
- Responsible party
- Sponsor
- Investigators
- Julian Hong, MD, MS, Principal investigator, University of California, San Francisco
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT07836933
- Sponsor's protocol ID
- 26558
- Other IDs
- NCI-2026-06916
- Status last verified
- Sep 2026
- First submitted
- 17 Sep 2026
- Last updated
- 28 Sep 2026
- Results posted
- No
- Data monitoring committee
- No
- FDA-regulated drug
- No
- FDA-regulated device
- No
- Individual data sharing
- No
Study at a glance
From the registry record, last updated by the sponsor on 28 Sep 2026. Recruitment status is as the sponsor reported it: confirm with the study team.
- Official title
- Cancer Oriented Understanding and Navigation Via Supportive and Educational Language Models (COUNSEL)
- ClinicalTrials.gov ID
- NCT07836933
- Acronym / sponsor ID
- 26558
- Keywords
- Artificial Intelligence
- Study type
- Interventional
- Recruitment status
- Not yet recruiting
- Enrolment
- 50 participants (estimated)
- Lead sponsor
- University of California, San FranciscoUniversity, hospital or other
- Study start
- 31 Oct 2026 (estimated)
- Primary completion
- 30 Nov 2027 (estimated)
- Study completion
- 30 Apr 2028 (estimated)
- First posted
- 23 Sep 2026 (actual)
- Results
- Not posted in the source record
Clinical summary
The research question as the sponsor registered it. This describes what the study plans to test, not what it found.
A randomized, open-label behavioral study designed to evaluate the feasibility, acceptability, and early impact of a large language model (LLM)-based artificial intelligence (AI) tool to support patient understanding following an initial oncology consultation.
Detailed description
PRIMARY OBJECTIVE:
- To evaluate the impact of a LLM-based intervention on patients' perceived quality, breadth, and depth of cancer-related information following a radiation or surgical oncology consult.
SECONDARY OBJECTIVES:
- To assess patient- and provider-perceived levels of shared decision making. II. To evaluate changes in patient-reported distress. III. To compare concordance between patient and provider perceptions of shared decision making.
EXPLORATORY OBJECTIVES:
- To identify qualitative themes and usage patterns in patient interactions with the LLM.
II. To evaluate resource utilization based on information-seeking behavior logs collected during follow-up.
OUTLINE: Participants will be randomized to an intervention or control arm. Participants will attend two teleconference meetings: the first within 2 days after an oncology consultation and a follow-up session approximately 21 days later. Participants will also complete study surveys and logs.
Study design
- Primary purpose
- Supportive care
- Allocation
- Randomised
- Intervention model
- Parallel groups
- Masking
- None (open label)
- Number of arms
- 2
| Arm | Type | Receives |
|---|---|---|
| Intervention Arm | Experimental | Behavioral: AI-guided COUNSEL Intervention, Behavioral: QuestionnairesAI teleconferences with Large Language Model (LLM) interaction |
| Control Arm | Placebo comparator | Behavioral: QuestionnairesAI teleconferences without LLM interaction |
Who may qualify
- Ages
- 18 years and older
- Sex
- All
- Healthy volunteers
- Not accepted
- Age groups
- Adult, Older adult
Key inclusion criteria (7 listed)
- Age ≥18 years.
- Histologically or cytologically confirmed diagnosis of localized prostate cancer
- Newly diagnosed and planning to undergo or recently completed a radiation or surgical oncology consult at University of California, San Francisco (UCSF)
- Eastern Cooperative Oncology Group (ECOG) performance status of 0-2
- English-speaking and able to participate in study teleconferences
Key exclusion criteria (5 listed)
- Prior definitive treatment for prostate cancer (e.g., surgery, radiation, or systemic therapy)
- Cognitive, sensory, or language impairment that would interfere with the ability to understand, participate in, or complete the study procedures
- Inability or unwillingness to participate in two study-related teleconferences
- Current enrollment in another interventional clinical trial that may interfere with study participation
- Inability to comply with protocol requirements (e.g., completing surveys or using the information-tracking log)
Eligibility is decided by the study team after screening; this overview does not establish that a patient qualifies. Full inclusion and exclusion criteria.
Interventions
| Intervention | Type | Arms |
|---|---|---|
| AI-guided COUNSEL InterventionAn AI-guided, interactive educational tool that allows participants to interact with a large language model (LLM) will be delivered via teleconference. | Behavioural | Intervention Arm |
| QuestionnairesParticipant and clinicians will complete questionnaires | Behavioural | Control Arm, Intervention Arm |
Primary outcome
Mean differences on EORTC QLQ-INFO25 - Patient-Perceived Cancer-Related Information
Time frame: Up to 2 days
Patient-perceived quality, breadth, and depth of cancer-related information received following an oncology consultation, as measured by the European Organisation for Research and Treatment of Cancer Quality of Life Questionnaire (EORTC QLQ-INFO25) survey. The EORTC QLQ-INFO25 comprises four multi-item scales and eight single items to assess the level and quality of information received by cancer patients. Scores for all scales and single items range from 0-100. The survey uses a 4-point Likert scale (1 = "not at all' to 4 = "very much") and some yes/no questions. Higher scores represent a greater patient-perceived level of shared decision-making. Mean differences between treatment groups will be reported with 95% confidence intervals, along with Hedges' g effect sizes. A Mann-Whitney U test will be used for sensitivity analysis.
3 secondary outcomes
Mean differences on SDM-Q-9 and SDM-Q-Doc - Patient- and Provider-Perceived Shared Decision Making
Time frame: Day 21
Mean differences on NCCN Distress Thermometer - Patient-Reported Distress
Time frame: Up to 21 days
Patient-Provider Concordance in Shared Decision Making
Time frame: Day 21
Results and safety
This study is still under way. Results are not available in the source record yet.
Research links
- Official record on ClinicalTrials.govLast updated by the sponsor 28 Sep 2026.
- Individual participant dataSharing planned: No
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Referral and contact
AzTrials does not enrol participants or take referrals. Contact the study team or a site listed below; they decide who can take part.
Julian Hong, MD, MS principal investigator
University of California, San Francisco
1 site in 1 country: see every site and its status.
Questions about this trial
What is this clinical trial studying?
A study testing AI-guided COUNSEL Intervention and Questionnaires in people with Prostate Cancer and Prostatic Neoplasms, run by University of California, San Francisco at 1 site in United States.
The full registered description is in the About this study section and the official record.
Who may be eligible to take part?
The sponsor lists 7 inclusion and 5 exclusion criteria. Eligibility is decided by the study team after screening, so read the full criteria and contact a listed site.
Is this clinical trial currently recruiting?
The record says: opening soon, as of the sponsor's last update on 28 Sep 2026. Status can change between updates, so confirm with the study contact before making plans.
Where is the study taking place?
The record lists 1 site in United States. Whether a site is taking part right now should be confirmed with that site. See every site.
What are the possible benefits and risks?
They depend on the study and the treatment, and no study can promise a benefit. Some participants in this study may receive a placebo. The study team explains the known risks during informed consent, before anyone joins; the record itself does not list them.
Are results available for this study?
This study is still under way. Results are not available in the source record yet.
How can a doctor refer a patient or contact the research team?
Contact UCSF Genitourinary Medical Oncology Recruitment (877-827-3222, GUTrials@ucsf.edu), or a site near the patient. AzTrials does not enrol participants or take referrals.
What does the primary outcome measure?
Mean differences on EORTC QLQ-INFO25 - Patient-Perceived Cancer-Related Information (time frame: Up to 2 days). It is what the study was designed to measure, not a finding.
Where can I read the original study information?
Does a listing mean the treatment is approved or proven to work?
No. A listing means the study is registered. It does not show that the treatment is safe, works, or is approved by a regulator.
How often is this information updated?
AzTrials copies changed records from ClinicalTrials.gov every night and reloads the whole registry every week. The sponsor last updated this record on 28 Sep 2026.