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
试验速览
- 阶段
- 不适用
- 状态
- 已完成
- 入组人数
- 385
- 试验地点
- 1
- 主要终点
- Completion of Colorectal Cancer Screening
研究概览
简要总结
The overarching goal 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).
详细描述
Specifically, the goals of this study are to: 1) Adapt a previously validated electronic health record (EHR)-based machine learning algorithm to predict colorectal cancer (CRC) detection by retraining the model using data from patients seen in primary care clinics serving zip codes with a high proportion of racial and ethnic minorities living in Philadelphia County, a persistent poverty county; and 2) Implement and evaluate the feasibility and effectiveness of an algorithm-based CRC navigation program to increase colorectal cancer screening among patients in Philadelphia county who are at high risk of CRC and have uncompleted colonoscopies.
Together, these novel projects aim to be the first to combine use of machine learning algorithms and patient navigation to increase guideline-based cancer screening in order to reduce the burden of CRC among high-risk individuals living in a persistent poverty county through targeted, culturally-sensitive navigation that addresses social factors that prevent CRC screening.
研究设计
- 研究类型
- Observational
- 观察模型
- Cohort
- 时间视角
- Prospective
入排标准
- 性别
- All
- 接受健康志愿者
- 是
入选标准
- •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
排除标准
- •Not applicable
研究组 & 干预措施
Patients Residing in 18 zip codes in Western and Southwestern Philadelphia
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.
干预措施: Machine Learning Algorithm with Existing Penn Medicine CRC Patient Navigation Program (Other)
结局指标
主要结局
Completion of Colorectal Cancer Screening
时间窗: Within the three month enrollment period and three month follow-up period
Number of patients that have completed their colonoscopy or Fecal Immunochemical Test (FIT)
Number of Participants With Adenoma Detection
时间窗: Within the three month enrollment period and three month follow-up period
Rate of adenomas after completion of colonoscopy
Enrollment in Navigator Program (Feasibility)
时间窗: During the three month enrollment period
Number of patients that participate in the navigation program
次要结局
未报告次要终点
研究者
Carmen E. Guerra, MD, MSCE, FACP
Principle Investigator
Abramson Cancer Center at Penn Medicine