Clinical trial · Interventional
Reducing VA No-Shows: Evaluation of Predictive Overbooking Applied to Colonoscopy
- Source
- ClinicalTrials.gov
- Retrieved
- Sep 8, 2026
- Layer
- normalized (units and labels harmonized; values unchanged)
- Run
- ING-CLINICALTRIALS-20260908-000001
Summary
Brief summary (as posted)
In this research study, investigators use colonoscopy as a case example to evaluate a predictive overbooking model derived using patient-level predictors of absenteeism. The no-show overbooking intervention employs a logistic regression model that uses patient data to predict the odds of no-showing with 80% accuracy. These projected no-show appointments will be overbooked by clerks for patients who agree to join a "fast track" short-call line. By rapidly processing endoscopy patients and moving them out of traditional slots, investigators predict more scheduling slots would become available for patients awaiting colonoscopy.
Conditions
Conditions (1)
Free-text conditions as registered, with the CancerIndex entity they were reconciled to and the match type.
| Condition (as posted) | Mapped entity | Match | Confidence |
|---|---|---|---|
| Colon Cancer | Malignant Colon Neoplasm | CURATED_EXACT | 0.92 |
Interventions
Interventions (1)
| Intervention | Type | Mapped drug | Match |
|---|---|---|---|
| Predictive no-show overbooking | Other | — | UNRESOLVED |
Design
Arms and outcomes
Arms (2)
- type
- EXPERIMENTAL
- label
- Fast-tracked
- description
- 'Predictive no-show overbooking' intervention. Patients who volunteer to enroll in "fast-track" line, which gives them an opportunity to overbook their appointment for endoscopy earlier in a predictive no-show slots.
- interventionNames
- Other: Predictive no-show overbooking
- type
- NO_INTERVENTION
- label
- Control
- description
- Patients who are scheduled routinely
Primary outcomes (1)
- measure
- Percentage of GI Clinic Capacity Filled
- timeFrame
- After 12 months of running study in clinic
- description
- Investigators' primary objective will be to evaluate the impact of no-show predictive overbooking on percentage of the GI endoscopy clinic that are filled on a given day. Days where at least one Fast-tracked patient attended an appointment were compared to days where only Control patients attended appointments. Percentage of GI Clinic Capacity is calculated as the number of appointments completed divided by number of appointment spots available on a given day. This percentage was compared between Fast-tracked days and Control days, using data from 1672 patients.
Eligibility
Eligibility (as posted)
- Sex
- All
- Minimum age
- 18 Years
Show eligibility criteria text
Inclusion Criteria: * Patients who are scheduled for upper endoscopy and agree to the terms of "fast track" offer. Exclusion Criteria: * If a patient expresses concern about service denial, confusion about the bargain, or refuses to participate, the investigators will schedule these patients routinely.
References
Publications (3)
- RESULTReid MW, Cohen S, Wang H, Kaung A, Patel A, Tashjian V, Williams DL Jr, Martinez B, Spiegel BM. Preventing patient absenteeism: validation of a predictive overbooking model. Am J Manag Care. 2015 Dec;21(12):902-10. PMID 26671702
- RESULTReid MW, May FP, Martinez B, Cohen S, Wang H, Williams DL Jr, Spiegel BM. Preventing Endoscopy Clinic No-Shows: Prospective Validation of a Predictive Overbooking Model. Am J Gastroenterol. 2016 Sep;111(9):1267-73. doi: 10.1038/ajg.2016.269. Epub 2016 Jul 5. PMID 27377518
- RESULTMay FP, Reid MW, Cohen S, Dailey F, Spiegel BM. Predictive overbooking and active recruitment increases uptake of endoscopy appointments among African American patients. Gastrointest Endosc. 2017 Apr;85(4):700-705. doi: 10.1016/j.gie.2016.09.001. Epub 2016 Sep 10. PMID 27623103