NLP-Based Feedback to Improve Risk Comms and Informed Shared Decision Making

Prostate Cancer Clinical Trial

Official title: Natural Language Processing-Based Feedback to Improve Physician Risk Communication and Informed Shared Decision Making in Men With Clinically Localized Prostate Cancer

Status Not yet recruiting

Clinical Trial Summary

In this pilot study, the investigators will show feasibility of the NLP-based feedback system in 20 consultations of men with newly diagnosed prostate cancer. The investigators will recruit from the practices of up to 10 physicians who typically see these patients. The investigators will report the top five sentences from each consultation across key content areas (cancer prognosis, life expectancy, erectile dysfunction, urinary incontinence, and irritative urinary symptoms) to both patients and physicians within 2 weeks of the consultation.

Clinical Trial Description

The primary research procedures are:

1. Audio recording and transcribing treatment counseling discussions for 20 men with newly diagnosed clinically localized prostate cancers and utilize NLP to extract key content using the system described above.

2. Reports including the top five sentences by NLP probability for key content areas will be generated and will be provided to patients and providers within 2 weeks after each case.

3. For patients, decisional conflict and risk perception will be assessed before and after receiving the NLP-based feedback.

4. For physicians, the investigators will assess baseline quality of risk communication, any changes in individual physician communication over time, and accuracy of risk estimates for key content areas.

5. Within 2 weeks of receiving the NLP-based feedback, the investigators will conduct a 30-minute semi-structured interview with patients to obtain their opinions on the utility and ideal implementation strategy for the NLP-based feedback.

6. At the conclusion of the pilot trial, the investigators will conduct 30-minute semi-structured interview with counseling physicians to obtain their opinions on the utility and ideal implementation strategy for the NLP-based feedback. ;

Related Conditions & MeSH terms

• Prostate Cancer
• Prostatic Neoplasms

• NCT number: NCT05923684
• Study type: Interventional
• Source: Cedars-Sinai Medical Center
• Contact: Timothy Daskivich, MD
• Phone: 3104230415
• Email: timothy.daskivich@cshs.org
• Status: Not yet recruiting
• Phase: N/A
• Start date: July 15, 2023
• Completion date: July 15, 2025