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Clinical Trial Details — Status: Completed

Administrative data

NCT number NCT01639443
Other study ID # IIR 12-055
Secondary ID 1I01HX000878-01
Status Completed
Phase N/A
First received July 9, 2012
Last updated March 13, 2018
Start date July 8, 2013
Est. completion date June 30, 2016

Study information

Verified date March 2018
Source VA Office of Research and Development
Contact n/a
Is FDA regulated No
Health authority
Study type Interventional

Clinical Trial 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.


Description:

Patient "no-shows" are especially common in VA gastrointestinal (GI) endoscopy units, where both open-access endoscopy scheduling and patient dislike of procedures contribute to high absenteeism. In this proposal, investigators use endoscopy 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. However, patients scheduled for upper endoscopies in the "fast track" assume a small risk of service denial on the day of their overbooking in case of inaccurate predictions. If this occurs, the patient is guaranteed service in the next available position and is assured of having a shorter wait time. Patients scheduled for colonoscopies will never be turned down but may experience delays in the waiting room the day of their "fast track" appointment. By rapidly processing endoscopy patients and moving them out of traditional slots, investigators predict more scheduling slots would become available for patients awaiting colonoscopy. Investigators propose to conduct a prospective, 24-month, interrupted time series (ITS) trial in the WLAVA (West Los Angeles Veterans Administration) GI clinic endoscopy unit. During intervention periods, investigators will activate the no-show predictive overbooking strategy described above. Investigators will compare outcomes between scheduling strategies, including differences in percent utilization of capacity (primary outcome), number of Veterans served, mean patient lag time between scheduling and procedure, number of unexpected service denials ("bumps") from no-show predictive overbooking, and direct costs of care. Investigators will analyze differences using both traditional univariate and multivariate approaches, and using autoregressive integrated moving average (ARIMA) analyses to adjust for auto-correlations in ITS data.


Recruitment information / eligibility

Status Completed
Enrollment 180
Est. completion date June 30, 2016
Est. primary completion date July 6, 2015
Accepts healthy volunteers Accepts Healthy Volunteers
Gender All
Age group 18 Years and older
Eligibility 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.

Study Design


Related Conditions & MeSH terms


Intervention

Other:
Predictive no-show overbooking
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.

Locations

Country Name City State
United States VA Greater Los Angeles Healthcare System, West Los Angeles, CA West Los Angeles California

Sponsors (1)

Lead Sponsor Collaborator
VA Office of Research and Development

Country where clinical trial is conducted

United States, 

References & Publications (3)

May 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 201 — View Citation

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. — View Citation

Reid 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 — View Citation

Outcome

Type Measure Description Time frame Safety issue
Primary 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 Scheduling-to-procedure Lag Time The investigators will calculate the mean daily lag time for all colonoscopy and upper endoscopies performed per day After 12 months of running study in clinic
Secondary Daily Service Denials ("Bumps") The investigators will compare the number of patients bumped per day between scheduling approaches After 12 months of running study in clinic
Secondary Advanced Adenoma Detection/Cecal Intubation Rates The investigators will compare daily advanced adenomatous polyp detection and daily cecal intubation rates between groups. After 20 months of running study in clinic
Secondary Length of Workday Length of Workday in hours (comparing days with Fast-Tracked Appointments to Control days without) After 12 months of running study in clinic
Secondary Cost Comparisons For cost comparisons, the investigators will aggregate total provider overtime costs for colonoscopies performed. Cost is reported per day. After 12 months of running study in clinic
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