A Feasibility Study to Improve Colorectal Cancer Screening Among Racially Diverse Zip Codes in a Persistent Poverty County Using Navigation and Machine Learning Predictive Algorithms (PCSNaP)

Abramson Cancer Center at Penn Medicine

Status: Completed

Conditions: Colorectal Cancer

Treatments: Other: Machine Learning Algorithm with Existing Penn Medicine CRC Patient Navigation Program

Study type: Observational

Funder types: Other

Identifiers

NCT05383976

UPCC 09222

850205

Details and patient eligibility

About

The overarching goals of the "PCSNaP" Research Study is to support the Abramson Cancer Center (ACC) of the University of Pennsylvania in carrying out its mission to increase colorectal cancer (CRC) screening completion among high-risk individuals living in a persistent poverty county by designing, conducting, disseminating and evaluating an electronic health record-based automated identification program to target effective, culturally-sensitive CRC screening navigation to individuals who have not completed an ordered colonoscopy or fecal immunochemical test (FIT).

Enrollment: 201 patients

Sex: All

Volunteers: Accepts Healthy Volunteers

Inclusion and exclusion criteria

Inclusion Criteria:

• Patients residing in 18 zip codes in Western and Southwestern Philadelphia who have primary care providers in 4 Penn Medicine Internal Medicine practices and 3 Penn Medicine Family Medicine Practices
• Patients who have had a colonoscopy order placed in the past 6 months and have not scheduled, cancelled, or no-showed to their colonoscopy

Trial design

201 participants in 1 patient group

Patients Residing in 18 zip codes in Western and Southwestern Philadelphia

Description:

The cohort will consist of patients residing in 18 zip codes in Western and Southwestern Philadelphia who have primary care providers in 4 Penn Medicine Internal Medicine practices and 3 Penn Medicine Family Medicine Practices.

Treatment:

Other: Machine Learning Algorithm with Existing Penn Medicine CRC Patient Navigation Program