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Activity Number: 583 - Statistical Methods in Health Services and Performance Profiling
Type: Contributed
Date/Time: Wednesday, August 1, 2018 : 2:00 PM to 3:50 PM
Sponsor: Health Policy Statistics Section
Abstract #330436 Presentation
Title: Template Matching for Comparing Hospital Performance in Veterans Affairs Health System: a Simulation Study
Author(s): Brenda Vincent* and Hallie Prescott
Companies: VA Center for Clinical Management Research and VA Center for Clinical Management Research
Keywords: template matching; hospital quality; electronic health record; matching; hierarchial models; Veterans Affairs

Background: Comparing hospital performance in a health system is traditionally done with hierarchical models that adjust for case-mix (direct standardization). In contrast, "template matching" compares outcomes of similar patients at different hospitals (indirect standardization). We evaluated these methods in simulated situations when there were no hospital level effects. Methods: Using one year of nationwide VA electronic health record data, we randomly assigned 460,213 patients to 111 pseudo hospitals, thereby eliminating hospital level effects. We randomly selected a representative template of 240 patients and matched 240 patients on demographic and physiological factors from each pseudo hospital to the template. We assessed 30-day mortality at each pseudo hospital and identified significant outliers. We compared the false outlier detection rates between the two methods. Results: Preliminary results suggest that template matching performs similarly to hierarchical models with a false outlier detection rate of 7-8%. Conclusion: Template matching may be a credible alternative method to compare hospitals, with the added benefits of interpretability and actionability by end-users.

Authors who are presenting talks have a * after their name.

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