- Design
- Systematic review and meta-analysis of randomised and non-randomised studies
- Population
- 21 studies, 19,613 adults aged 50–75 with an abnormal FIT or FOBT
- Primary outcome
- Completion of follow-up colonoscopy
- Effect
- 47.8% vs 69.1% pooled; navigation RR 1.24, clinician reminders 1.36, auto-referral 1.68
A meta-analysis pooled 21 studies, randomised and non-randomised, covering 19,613 adults aged 50 to 75 with an abnormal faecal immunochemical or occult blood test. Without intervention, a pooled 47.8% went on to colonoscopy; with intervention, 69.1%.
Each approach was associated with higher completion: patient navigation (RR 1.24, 95% CI 1.15 to 1.33), patient reminders (1.32, 1.04 to 1.67), clinician reminders (1.36, 1.12 to 1.65) and automatic referral to gastroenterology (1.68, 1.09 to 2.60). Heterogeneity was often high, but fell for navigation and both kinds of reminder when outlying studies were removed.
A positive stool test without colonoscopy screens no one. These interventions are cheap and mostly administrative, and the gap they close is large. Where stool testing is done opportunistically, as in much of Indian practice, the same failure is likely and the same fixes apply.
- Set up an automatic referral or booking when a stool test comes back positive
- Add a clinician alert for any positive stool test without a colonoscopy at about 60 days
- Contact the patient directly to explain why colonoscopy is needed and help arrange it
- Keep a simple register of positive tests and tick them off as colonoscopies are done
- Ask about bowel preparation fears and cost, which commonly stop patients attending
Why it matters
Half of positive screening tests went nowhere without help, which wastes the screening that found them.
Don't overread it
Many included studies were non-randomised, and high heterogeneity means the size of benefit in your service is uncertain.
The statistics, in plain English
A risk ratio of 1.24 means 24% more patients completed colonoscopy with navigation than without. High I² values mean results differed a lot between studies, so the direction is more reliable than the exact size.
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