N/A
N=5,035
Reducing VA No-Shows: Evaluation of Predictive Overbooking Applied to Colonoscopy
Colon Cancer
Bottom Line
View on ClinicalTrials.gov: NCT01639443 ↗Enrolled (actual)
5,035
Serious AEs
0.0%
Results posted
Oct 2016
Primary outcome: Primary: Percentage of GI Clinic Capacity Filled — 99.6; 86.4 percentage of clinic capacity filled — p=<0.0001
Study Design & Population
- Study type
- Interventional
- Phase
- N/A
- Interventions
- Predictive no-show overbooking (Other)
- Age
- Adult, Older Adult · 18+ yrs
- Sex
- All
- Sponsor
- VA Office of Research and Development
- Primary completion
- Jul 2015
Outcome Measures
| Outcome | Result | p-value |
|---|---|---|
| PRIMARY Percentage of GI Clinic Capacity Filled |
99.6; 86.4 | <0.0001 sig |
| SECONDARY Scheduling-to-procedure Lag Time |
8.3; 10.8 | 0.29 |
| SECONDARY Daily Service Denials ("Bumps") |
0; 29 | 0.49 |
| SECONDARY Advanced Adenoma Detection/Cecal Intubation Rates |
2.35; 2.88 | 0.05 |
| SECONDARY Length of Workday |
8.31; 7.84 | 0.024 sig |
| SECONDARY Cost Comparisons |
63.01; 36.88 | 0.11 |
Summary
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.
Eligibility Criteria
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.
Data sourced from ClinicalTrials.gov (NCT01639443). Outcome figures and adverse-event rates are extracted automatically from the registry's posted results and are provided for clinician reference, not as a substitute for the primary publication.