This clinical trial studies how well minimally invasive approaches (an artificial intelligence \[AI\] powered risk tool, nurse navigation, and a sponge on a string \[SOS\] test) work in diagnosing patients with Barrett's esophagus (BE) and esophageal cancer. Esophageal cancer has a poor 5-year survival rate when diagnosed after onset of symptoms. While rising, incidence of esophageal cancer remains too low to screen the entire population. BE is a condition in which the cells lining the lower part of the esophagus have changed or been replaced with abnormal cells that could lead to esophageal cancer. Currently, patients are screened for BE based on certain risk factors (reflux, age \> 50 years, White race, family history of esophageal cancer, obesity, male sex, and smoking), followed by endoscopies and surgery for treatment. These standard procedures may result in under-recognition of BE risk due to inaccurate and difficult to use risk assessment tools, high cost, invasiveness, low access to endoscopy, and sub-optimal recognition of abnormal cells during routing endoscopy. An AI powered risk tool that integrates symptoms, health history, and laboratory values from electronic health record data may more accurately assess BE and esophageal cancer risk that manual assessment. The BE-SOS screening test combines a swallowable cell collection device with assessment of DNA, which may more accurately diagnose abnormal cells. Nurse navigation involves trained personnel assisting individuals through the screening process and completing the follow-up diagnostic test if the screening test is positive. Navigators address cultural, social, access, and logistical barriers to screening. Nurse navigation may increase completion rates of diagnostic procedures following a positive screening test. These minimally invasive approaches may enable higher rates of BE screening than currently being accomplished.
Study Type
INTERVENTIONAL
Allocation
RANDOMIZED
Purpose
SCREENING
Masking
NONE
Enrollment
1,010
Undergo BE-SOS test
Undergo BE risk assessment using AI powered BE Risk Tool
Undergo endoscopy
Undergo manual BE risk assessment
Receive RN navigation
Ancillary studies
Mayo Clinic in Arizona
Scottsdale, Arizona, United States
Mayo Clinic in Rochester
Rochester, Minnesota, United States
Mayo Clinic Health System-Eau Claire Clinic
Eau Claire, Wisconsin, United States
Rate of completed Barrett's esophagus (BE) screening
Assessed as the proportion of patients who complete BE screening. This is determined as the number of patients who complete a sponge on a string (SOS) BE screening test or endoscopy screen, divided by the number of screen eligible patients in each group.
Time frame: Baseline (completion of endoscopy)
Negative predictive value of the AI powered BE Risk Tool (Aim 1b)
A randomly selected sample of patients (N=50) with a negative BE risk tool score will undergo a research upper endoscopy to confirm the high estimated negative predicted value of the BE risk tool.
Time frame: Baseline (completion of endoscopy)
BE screening ordered (completed + not completed)
Assessed as the proportion of patients who complete BE screening (SOS BE screen test or endoscopy) for patients where BE screening has been ordered.
Time frame: Baseline (completion of endoscopy)
Successful completion of the SOS BE screen test
Assessed as the number that had successful test completion (a test result was received) divided by the number of patients where a BE-SOS test/endoscopy order was placed
Time frame: Baseline (completion of endoscopy)
Completion of diagnostic endoscopy following a positive SOS BE screen test
Assessed as the proportion of patients who complete diagnostic endoscopy following a positive BE-SOS test.
Time frame: Baseline (completion of endoscopy)
Rates of BE [with or without dysplasia/esophageal adenocarcinoma (EAC)]
The proportion of patients with BE/EAC diagnoses will be determined as the number with a BE/EAC diagnosis divided by the number of patients who underwent BE-SOS or endoscopy.
Time frame: Baseline (completion of endoscopy)
Patients flagged for screening by the BE risk tool in the intervention clusters who also meet American College of Gastroenterology (ACG) BE screening guidelines
The proportion of screen eligible patients in the intervention arm who meet ACG screening criteria will be determined as the number meeting screening criteria divided by the number in the group.
Time frame: Baseline (completion of endoscopy)
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