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

Completed

• Conditions: Colorectal Cancer
• Interventions: Other: Machine Learning Algorithm with Existing Penn Medicine CRC Patient Navigation Program

• Registration Number: NCT05383976
• Lead Sponsor: Abramson Cancer Center at Penn Medicine

Brief Summary

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).

Detailed Description

Not available

Study Timeline

• Study Start: 2022-03-29
• Study First Submitted: 2022-05-17
• Study First Submitted QC: 2022-05-17
• Study First Posted: 2022-05-20
• Status Verified: 2024-11
• Primary Completion: 2024-11-01
• Study Completion: 2024-11-01
• Last Update Submitted: 2024-11-20
• Last Update Posted: 2024-11-22

Recruitment & Eligibility

• Status: COMPLETED
• Sex: All
• Target Recruitment: 201

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

Exclusion Criteria

Not provided

Study & Design

• Study Type: OBSERVATIONAL
• Study Design: Not specified

Arm && Interventions

Group	Intervention	Description
Patients Residing in 18 zip codes in Western and Southwestern Philadelphia	Machine Learning Algorithm with Existing Penn Medicine CRC Patient Navigation Program	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.

Primary Outcome Measures

Name	Time	Method
Enrollment in Navigator Program (Feasibility)	During the three month enrollment period	Number of patients that participate in the navigation program
Completion of Colorectal Cancer Screening	Within the three month enrollment period and three month follow-up period	Number of patients that have completed their colonoscopy or FIT
Adenoma Detection Rate	Within the three month enrollment period and three month follow-up period	Rate of adenomas after completion of colonoscopy

Trial Locations

Locations (1)

University of Pennsylvania; 🇺🇸 Philadelphia, Pennsylvania, United States