Reducing VA No-Shows: Evaluation of Predictive Overbooking Applied to Colonoscopy
No-show
2 other identifiers
interventional
180
1 country
1
Brief 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.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P75+ for not_applicable
Started Jul 2013
Typical duration for not_applicable
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
First Submitted
Initial submission to the registry
July 9, 2012
CompletedFirst Posted
Study publicly available on registry
July 12, 2012
CompletedStudy Start
First participant enrolled
July 8, 2013
CompletedPrimary Completion
Last participant's last visit for primary outcome
July 6, 2015
CompletedStudy Completion
Last participant's last visit for all outcomes
June 30, 2016
CompletedResults Posted
Study results publicly available
October 31, 2016
CompletedApril 12, 2018
March 1, 2018
2 years
July 9, 2012
June 30, 2016
March 13, 2018
Conditions
Keywords
Outcome Measures
Primary Outcomes (1)
Percentage of GI Clinic Capacity Filled
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.
After 12 months of running study in clinic
Secondary Outcomes (5)
Scheduling-to-procedure Lag Time
After 12 months of running study in clinic
Daily Service Denials ("Bumps")
After 12 months of running study in clinic
Advanced Adenoma Detection/Cecal Intubation Rates
After 20 months of running study in clinic
Length of Workday
After 12 months of running study in clinic
Cost Comparisons
After 12 months of running study in clinic
Study Arms (2)
Fast-tracked
EXPERIMENTAL'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.
Control
NO INTERVENTIONPatients who are scheduled routinely
Interventions
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.
Eligibility Criteria
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.
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
VA Greater Los Angeles Healthcare System, West Los Angeles, CA
West Los Angeles, California, 90073, United States
Related Publications (3)
Reid 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: 26671702RESULTReid 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: 27377518RESULTMay 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: 27623103RESULT
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Limitations and Caveats
This study was impeded by our ability to schedule Veterans into Fast-Tracked appointments. Although the method is very promising, integration of predictive scheduling is vital for this program to benefit Veterans on a large scale.
Results Point of Contact
- Title
- Jennifer Talley Soares
- Organization
- West Los Angeles VA / Cedars-Sinai Medical Center
Study Officials
- PRINCIPAL INVESTIGATOR
Paul G. Shekelle, MD PhD MPH
VA Greater Los Angeles Healthcare System, West Los Angeles, CA
Publication Agreements
- PI is Sponsor Employee
- Yes
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- RANDOMIZED
- Masking
- NONE
- Purpose
- HEALTH SERVICES RESEARCH
- Intervention Model
- PARALLEL
- Sponsor Type
- FED
- Responsible Party
- SPONSOR
Study Record Dates
First Submitted
July 9, 2012
First Posted
July 12, 2012
Study Start
July 8, 2013
Primary Completion
July 6, 2015
Study Completion
June 30, 2016
Last Updated
April 12, 2018
Results First Posted
October 31, 2016
Record last verified: 2018-03
Data Sharing
- IPD Sharing
- Will not share