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Assessing the early impact of a hospital-based health technology assessment program, smart innovation

Part of: Special Collection - Methods

Published online by Cambridge University Press:  15 July 2021

Erik J. Landaas Open the ORCID record for Erik J. Landaas [Opens in a new window] ,
Ryan N. Hansen ,
Geoffrey S. Baird  and
Sean D. Sullivan
Erik J. Landaas*
Affiliation:
The Comparative Health Outcomes, Policy, and Economics Institute, University of Washington, Seattle, WA, USA Strategic Sourcing and Supply Chain Management, UW Medicine, Seattle, WA, USA
Ryan N. Hansen
Affiliation:
The Comparative Health Outcomes, Policy, and Economics Institute, University of Washington, Seattle, WA, USA
Geoffrey S. Baird
Affiliation:
Department of Laboratory Medicine and Pathology, University of Washington, Seattle, WA, USA
Sean D. Sullivan
Affiliation:
The Comparative Health Outcomes, Policy, and Economics Institute, University of Washington, Seattle, WA, USA
*
Author for correspondence: Erik J. Landaas, E-mail: eriklandaas@gmail.com
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Abstract

Objective

We evaluated the early impact of a new hospital-based health technology assessment (HB-HTA) program, called Smart Innovation, at the University of Washington Medical Center (UWMC).

Methods

We compared the UWMC's utilization trends for two surgical procedures to control hospitals by evaluating the difference before and after adoption decisions: (i) a new filter for transcatheter aortic valve replacement (TAVR) procedures that treat aortic valve stenosis and (ii) microwave ablation (MWA) for treating hepatocellular carcinoma. We used descriptive statistics to assess the difference between the UWMC and controls for TAVR and MWA procedures and multivariate difference-in-differences (DID) analyses to test for statistical significance.

Results

The UWMC experienced a 10 percent reduction in TAVR procedures compared with controls following the implementation of the TAVR Sentinel filter. The DID regression model indicated a 1.5 reduction in the number of TAVR procedures per quarter at the UWMC between the pre- and post period, which was not statistically significant (p-value: .87). The UWMC experienced a 51 percent reduction in utilization when compared with controls for MWA procedures in the pre- and post periods. The DID model for MWA indicated an 18.8 decrease in utilization per quarter during the study period for the UWMC, which was statistically significant (p-value: .0007). For MWA procedures, the UWMC experienced a $647,658 dollar reduction in total costs in the post period compared with controls.

Conclusions

When the UWMC used HB-HTA methods for technology adoption, there was a reduction in utilization and total costs when compared with controls; however, when the UWMC adopted a new technology without using HB-HTA methods, there was no difference in utilization.

Keywords

Hospital-basedTechnologyQuantitativeAssessmentDiffusion
Type
Method
Information
International Journal of Technology Assessment in Health Care , Volume 37 , Issue 1 , 2021 , e76
Copyright
Copyright © The Author(s), 2021. Published by Cambridge University Press

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