About this trial
The purpose of this study is to improve life-expectancy concordant colorectal cancer screening for adults over 75 years through design and testing of a life expectancy notification to clinicians delivered via the electronic health record.
This study has three components:
1. The investigators will develop a life expectancy prediction model using patient data from the Cleveland Clinic electronic health record (EHR) and test it against two existing life expectancy prediction models to determine which should be used in clinical care. This is an observational cohort study. 2. Concurrently with the development and testing of the life expectancy prediction model, the investigators will conduct interviews with clinicians to generate knowledge regarding the optimal way to integrate life expectancy information into decision making about colorectal cancer screening in patients over 75 years. This is a qualitative study. 3. The investigators will then conduct a cluster randomized trial of a clinical decision support-delivered life expectancy notification on life expectancy-congruent colorectal cancer screening orders by primary care clinicians.
Eligibility criteria
Qualifiers
> 75 years of age
Resident of Ohio
Had at least one Internal Medicine or Family Medicine visit at Cleveland Clinic Health System between January 1, 2007, and September 1, 2022.
Internal Medicine or Family Medicine clinician (MD, DO, or APP) practicing at Cleveland Clinic Health System in Northeast Ohio
Disqualifiers
All candidates meeting any of the exclusion criteria at baseline will be excluded from study participation.
Patients aged ≤75 years
Patients who did not have at least one subsequent Internal or Family Medicine visit in Ohio within two years from the date of their baseline visit
Patients being actively treated for non-skin cancer
Trial design
Treatments tested in this trial
- Decision Tool
Treatment groups
Sponsors and collaborators
Kathryn Martinez
Lead sponsor
The Cleveland Clinic
Sponsor institution
National Institute on Aging (NIA)
Collaborator