CI

At a glance

ClinicalIndex Comparison Record
N/ACompleted· 180 enrolled
Drug / intervention
Predictive no-show overbookingother
Likely dose
Not stated in record
Structured eligibility isn't available for this trial yet — see the full criteria in the Eligibility tab below.

Standardized by ClinicalIndex from the ClinicalTrials.gov record · verify against the source.

Search/NCT01639443
NCT01639443N/ACompleted

Reducing VA No-Shows: Evaluation of Predictive Overbooking Applied to Colonoscopy

VA Office of Research and Development·interventional·Posted Jul 12, 2012·Updated Apr 12, 2018

In Brief

A clinical study evaluating Predictive no-show overbooking for Colon Cancer. Completed, enrolled 180 participants across 1 site.

Detailed 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.

Study Details

Study Typeinterventional
Allocation--
Masking--
Primary Purpose--
ConditionsColon Cancer
CountriesUnited States
Collaborators--

Timeline

N/ACompletedFinished
20132014201520162017201820192020202120222023202420252026
First PostedJul 12, 2012
Enrollment StartJul 8, 2013
Primary CompletionJul 6, 2015
Study CompletionJun 30, 2016
TodayJul 2, 2026
Enrollment to primary: 2.0 yearsPosted 14.0 years ago

Interventions

Predictive no-show overbookingother

During intervention period, every Veteran scheduled for an endoscopy will be offered "fast-track" offer, which gives them a chance to get their endoscopy procedure done earlier than usual scheduling by overbooking their appointment in a predictive no-show slot.