Table 2.
Reasons for true negative classification | n=31, 21% (15% to 28%) |
Examinations ordered but not completed | 15, 48% (32% to 65%) |
Colonoscopy ordered but not completed | 8 |
Faecal immunochemical test ordered but not completed | 6 |
CT colonography ordered but not completed | 1 |
Lack of documentation or incorrect documentation | 9, 29% (16% to 47%) |
Declined screening | 4, 13% (5% to 29%) |
Insufficient time to discuss | 3, 10% (3% to 26%) |
Reasons for false-negative misclassification | n=104, 69% (62% to 76%) |
Screening outside of UCSF | 53, 51% (41% to 60%) |
Screening prior to Epic EHR implementation | 29, 28% (20% to 37%) |
Database and query errors | 22, 21% (14% to 30%) |
Misclassified as eligible for screening | n=15, 10% (6% to 16%) |
Poor life expectancy, or risks outweighing benefits | 8, 53% (30% to 75%) |
Above risk (personal or family history of polyps) | 6, 40% (20% to 64%) |
Not primary care empanelled | 1, 7% (0% to 32%) |
Reasons for false-positive misclassification | n=2, 4% (0% to 14%)) |
Ordered but incomplete faecal immunochemical test | 1, 50% (9% to 91%) |
Performed colonoscopy revealed inadequate bowel preparation | 1, 50% (9% to 91%) |
The second column lists the number of charts and associated percentage of the group with 95% CIs.
EHR, electronic health records; UCSF, University of California, San Francisco.