NLP-Based Feedback to Improve Risk Comms and Informed Shared Decision Making
Status
RECRUITING
Phase
NA
Age
≥ 18 Years
Enrollments
30Conditions
Prostate CancerSummary
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.
Detailed 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.
Locations
1 location Found with status Recruiting
Status
- RECRUITING
Contact Person
- Timothy Daskivich, MD
- 310-423-0415
- [email protected]
Principal Investigator
- Timothy Daskivich
Eligibility Criteria
Inclusion Criteria:
1. Men undergoing initial treatment consultation for clinically localized prostate cancer;
2. Men with upgraded prostate cancer on active surveillance considering conversion to definitive local therapy.
3. Cedars-Sinai patient.
4. Ability to read and write in English.
Exclusion Criteria:
1. Under 18 years of age;
2. Subjects with difficulty communicating or dementia;
3. Non-English speakers, given that our NLP-based tools cannot be used with languages other than English;
4. Men with locally advanced or metastatic prostate cancer;
5. Men who have already been treated for clinically localized prostate cancer
Study Plan
NLP Intervention Experimental Arm
EXPERIMENTAL
20 men with newly diagnosed clinically localized prostate cancers and utilize NLP to extract key content using 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.
BEHAVIORAL:
NLP-based FeedbackDescription:
Audio recordings will be made using either digital recorders or telehealth platform-generated transcripts. Patient reports will include only the extracted sentences related to content areas. Physician reports will note the extracted statements across each content area, the quality scores for individual statements based on the pre-specified hierarchy, the statements that achieved the highest score across each content area, and feedback on what could be improved. For patients, decisional conflict and risk perception will be assessed before and after receiving the NLP-based feedback. For physicians, the investigators will assess baseline quality of risk communication by pre-specified hierarchy, any changes in individual physician communication over time, and accuracy of risk estimates for key content areas.
Outcome Measures
Primary Outcome Measures
Change in Decisional Conflict Scale Scores before and after intervention (patient-level outcome)
Change in risk perception before and after intervention (patient-level outcome)
Physician attitudes regarding integration of NLP-based information (physician-level outcome)
Difference between reported risk of side effects and prognosis with gold standard (physician-level outcome)
Quality of composite physician risk communication score in treatment consultation (physician-level outcome)
Patient attitudes regarding integration of NLP-based information
Timeline
Last Updated
August 9, 2024Start Date
June 28, 2023Today
February 5, 2025Completion Date ( Estimated )
July 15, 2025
Sponsors of this trial
Lead Sponsor
Cedars-Sinai Medical CenterCollaborating Sponsors
National Cancer Institute (NCI)
RECRUITING 
21 - 64 Years