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

Cedars-Sinai Medical Center logo

Cedars-Sinai Medical Center

Status

Enrolling

Conditions

Prostate Cancer

Treatments

Behavioral: NLP-based Feedback

Study type

Interventional

Funder types

Other
NIH

Identifiers

NCT05923684
STUDY00002590
K08CA230155 (U.S. NIH Grant/Contract)

Details and patient eligibility

About

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.

Full 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.

Enrollment

30 estimated patients

Sex

Male

Ages

18+ years old

Volunteers

No Healthy Volunteers

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

Trial design

Primary purpose

Health Services Research

Allocation

N/A

Interventional model

Single Group Assignment

Masking

None (Open label)

30 participants in 1 patient group

NLP Intervention Experimental Arm
Experimental group
Description:
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.
Treatment:
Behavioral: NLP-based Feedback

Trial contacts and locations

1

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Central trial contact

Timothy Daskivich, MD; Antwon Chaplin

Data sourced from clinicaltrials.gov

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