Clinical trial Recruiting at 1 site Interventional Ages 40 to 70 Women only

Agentic LLM for Shared Decision Making in Health Care

Official title: DEONCAi 3-1: Can Large Language Models Support Shared Decision-Making and Informed Intentions in the Field: An Online Experiment Comparing Them to a Standard Model and to an Evidence-Based Decision Aid

Run by Harding Center for Risk Literacy · NCT07827924 · Data updated 2026-11-12

This project tests an agentic large language model to help patients participate in health decisions, especially for those with lower health literacy.

Quick facts

Study typeInterventional
Ages40 Years to 70 Years
SexWomen only
Enrollment330 (estimated)
SponsorHarding Center for Risk Literacy
Academic / other
Locations1 site (Neuruppin)
StatusRecruiting
StartedOctober 23, 2026
Main results expectedOctober 30, 2026
Study endsOctober 31, 2026
Registry record updatedOctober 30, 2026
Trial IDNCT07827924 on ClinicalTrials.gov

Is this trial a fit for you?

Likely a good fit

Adult women aged 40–70 who are native English speakers, reside in the US or UK, and are Prolific registered with the ability to read and consent digitally.

Probably not a fit

Participants with limited access to the internet or those who do not engage with the digital platform may not benefit.

A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.

What this trial studies

Researchers will compare an agentic LLM chatbot designed to support SDM with a standard LLM chatbot and a traditional information brochure. The study focuses on adults aged 40–70 in the US or UK who are native English speakers and Prolific users, evaluating whether the agentic system improves understanding and participation in decision making. It uses a state-machine approach to maintain context, reduce over-enthusiastic responses, and better tailor information to reading level. Outcomes will assess accuracy, user comprehension, and engagement in multi-turn conversations. Overall, the trial explores whether this architecture can promote more informed decisions in a digital health setting.

Why it matters

Potential benefit: If successful, patients may experience clearer, more accurate guidance that supports informed choices and greater participation in medical decisions.

How similar studies have gone: Prior work shows potential for LLMs to support patient-facing information, but multi-turn SDM and health literacy customization remain areas of active investigation.

Who can join: the full rules

Show full inclusion / exclusion criteria
Inclusion Criteria:

* Biological sex: Female.
* Age: 40 to 70 years old.
* Country of residence: United States (US) or United Kingdom (UK).
* Language: Native English speaker (English as first language).
* Registered and verified user on the academic research platform Prolific.
* Able to read, understand, and provide informed consent digitally.

Exclusion Criteria:

* Individuals who do not meet the automated pre-screening criteria on the Prolific platform.
* Inability to use or access a computer, smartphone, or internet browser required to complete the digital study.

Note: Quotas will be enforced during recruitment to ensure a 50/50 stratified split between participants with and without university entrance qualifications to guarantee variance in educational backgrounds. Once a quota is filled, further participants matching that educational profile will be excluded.

* Addendum: Women with BC symptoms

Where it's running

  • Brandenburg Medical School Theodor Fontane
    Neuruppin, Germany
    Recruiting

Study contacts

Similar studies

Other studies for the same condition or treatment. Recruiting studies are listed first.

How to take part

  1. Review the eligibility criteria above with your treating physician.
  2. Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
  3. Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.
Last reviewed 2026-11-14 by the Find a Trial editorial team. Information on this page is for educational purposes and is not medical advice. Always consult qualified healthcare professionals about clinical trial participation.