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Recruiting NCT07848386

Patient Priorities Aligned Discrete Decision Making for Older Adults With Multiple Chronic Conditions.

Conditions: Hernia

Sex: All
Ages: 60 Years – N/A
Healthy volunteers: No
Phase: NA
Enrollment: 80
Sponsor: The University of Texas Health Science Center, Houston

Location: The University of Texas Health Science Center at Houston Houston Texas

Summary

The purpose of the study is to to evaluate an artificial intelligence (AI) powered large language model (LLM) chatbot -PrioritiesAI -that assists patients in understanding, clarifying, and communicating their health priorities and desired outcomes related to elective hernia surgery.

Eligibility Criteria

Inclusion Criteria: * Capacity to provide informed consent * Ability to communicate effectively by phone in English * Access to a working email address that the participant checks regularly * Scheduled for an upcoming outpatient consultation with one of our partner surgeons to discuss elective hernia surgery (femoral, ventral, inguinal, or umbilical) * No significant cognitive impairment that would interfere with meaningful participation To ensure focus on surgical decisions, participants must fall into one of these categories: 1. Patients scheduled for an upcoming outpatient consultation with one of our partner surgeons specifically to discuss a potential surgical procedure 2. Patients who have undergone a surgical procedure performed one of our partner surgeons after January 1, 2025 3. Participants must meet criteria #1 or #2 above and must not have participated in Phase 1 of the study Exclusion Criteria: * Cognitive impairment sufficient to interfere with meaningful participation in Patient Priorities Care (PPC) discussions * Communication challenges that cannot be reasonably accommodated within the study protocol * Inability to complete patient-reported outcome measures independently or with minimal assistance * Lack of decision-making capacity regarding surgical care

Interested in this study? View the official listing for contact and enrollment details.

View on ClinicalTrials.gov

Source: ClinicalTrials.gov (NCT07848386). StuddyBuddy aggregates publicly available trial information.