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DEVELOPMENT AND TEST OF A DECISION SUPPORT TOOL FOR HOSPITAL HEALTH TECHNOLOGY ASSESSMENT

Published online by Cambridge University Press:  12 October 2012

Laura Sampietro-Colom ,
Irene Morilla-Bachs ,
Santiago Gutierrez-Moreno  and
Pedro Gallo
Laura Sampietro-Colom
Affiliation:
Directorate of Innovation, Hospital Clínic of Barcelonalsampiet@clinic.ub.es
Irene Morilla-Bachs
Affiliation:
Department of Innovation Management, Fundació Clínic per la Recerca Biomèdica
Santiago Gutierrez-Moreno
Affiliation:
Department of Innovation Management, Fundació Clínic per la Recerca Biomèdica
Pedro Gallo
Affiliation:
Department of Sociology and Organizational Analysis, University of Barcelona
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Abstract

Objective: To develop and test a decision-support tool for prioritizing new competing Health Technologies (HTs) after their assessment using the mini-HTA approach.

Methods: A two layer value/risk tool was developed based on the mini-HTA. The first layer included 12 mini-HTA variables classified in two dimensions, namely value (safety, clinical benefit, patient impact, cost-effectiveness, quality of the evidence, innovativeness) and risk (staff, space and process of care impacts, incremental costs, net cost, investment effort). Weights given to these variables were obtained from a survey among decision-makers (at National/Regional level and hospital settings). A second layer included results from mini-HTA (scored as higher, equal or lower), which compares the performance of the new HT (in terms of the abovementioned 12 variables) with the available comparator. An algorithm combining the first (weights) and second (scores) layers was developed to obtain an overall score for each HT, which was then plotted in a value/risk matrix. The tool was tested using results from the mini-HTAs for three new HTs (Surgical Robot, Platelet Rich Plasma, Deep Brain Stimulation).

Results: No significant differences among decision-makers were observed as regards the weights given to the 12 variables, therefore, the median aggregate weights from decision-makers were introduced in the first layer. The dot plot resulting from the mini-HTA presented good power to visually discriminate between the assessed HTs.

Conclusion: The decision-support tool developed here makes possible a robust and straightforward comparison of different competing HTs. This facilitates hospital decision-makers deliberations on the prioritization of competing investments under fixed budgets.

Keywords

Technology AssessmentBiomedicalDecision MakingHospital
Type
METHODS
Information
International Journal of Technology Assessment in Health Care , Volume 28 , Issue 4 , October 2012 , pp. 460 - 465
Copyright
Copyright © Cambridge University Press 2012

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Supplementary Figure 1: Correlation matrix. A clear cluster pattern is observed for the value variables (safety, clinical benefit, cost-effectiveness and quality of evidence) pointing out to agreement in the weights given by stakeholders to these variables

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