Reducing VA No-Shows: Evaluation of Predictive Overbooking Applied to Colonoscopy
Completed · Not applicable
Conditions studied: Colon Cancer
In brief
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.
Key facts
- Study ID
- NCT01639443
- Run by
- VA Office of Research and Development
- People needed
- 180
- Starts
- 2013-07-08
- Expected to finish
- 2016-06-30
- Last updated by the study team
- 2018-04-12
Who can join
Age: 18 and older. Sex: any. Healthy volunteers: accepted.
You may qualify if…
- Patients who are scheduled for upper endoscopy and agree to the terms of "fast track" offer.
You may not qualify if…
- If a patient expresses concern about service denial, confusion about the bargain, or refuses to participate, the investigators will schedule these patients routinely.
Where it is running
- VA Greater Los Angeles Healthcare System, West Los Angeles, CA — West Los Angeles, California, United States
Full record on ClinicalTrials.gov
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