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PP179 Health Technology Assessment Of Pediatric Intensive Care Ventilators

Published online by Cambridge University Press:  31 December 2019

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Abstract

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Introduction

A health technology assessment (HTA) process to evaluate the best intensive care ventilator manufacturers has been carried out in different pediatric intensive care units (ICUs) of Bambino Gesù Children's Hospital (OPBG). The purpose of this study is to determine: (i) the most relevant features of a ventilator to be considered between different manufacturers, and (ii) the methodology to conduct the assessment to support the decision-making process about the choice to adopt the suitable technology for OPBG.

Methods

The decision-oriented HTA method (Do-HTA), developed by the HTA unit of OPBG, was applied to conduct the assessment. Do-HTA involves the integration of the European Network for HTA (EUnetHTA) CoreModel and the Analytic Hierarchy Process with the support of an informatics tool. It provides the definition and numerical evaluation of assessment parameters to evaluate the performance of technologies. A literature review involving ICU professionals was used to define and weight the assessment elements on clinical, technical, organizational, economic, and safety domains. In particular, a subgroup of these domains has been included in a checklist for the comparative evaluation of different ventilator models, each of which was tested in three independent runs performed in three different ICUs.

Results

Results show that safety and clinical effectiveness had highest the impact within the evaluation, followed by organizational, technical and economic aspects. A percentage value per each ventilator has been assigned, representing the global performances regarding the assessment elements.

Conclusions

This study presents and discusses the benefits and drawbacks of innovative features of ventilators, all characteristics to be taken into account during the evaluation process and a methodology to conduct it. The project identified the best performing ventilator model through a collective decision, giving a reliable recommendation to the Hospital Decision Makers.

Type
Poster Presentations
Copyright
Copyright © Cambridge University Press 2019