PP101 A Procedural Method For Networking Local And Regional Stakeholders

Abstract

INTRODUCTION:

In 2015, the province of Québec, Canada went through a major restructuration in its healthcare system which resulted in regional institutional merging. Our hospital-based Health Technology Assessment (HTA) unit is now part of a large network comprising fourteen institutions covering an area of 12,734 km². This new organizational context poses major challenges in terms of addressing various local needs and for involving stakeholders into our assessments. In this paper we present how we addressed these difficulties.

METHODS:

This case study presents the procedural method we developed for involving local and regional stakeholders into an HTA concerning the need to extend a regional prenatal ultrasound screening program. We describe how we collected local data and networked local to regional stakeholders for producing the assessment and recommendation.

RESULTS:

After completion of the literature review on first trimester ultrasound screening, local data from each institution were collected using a combination of focus group meetings with local managers, gynecologists and ultrasound technologists. Overall, fifteen people were consulted on diverse regional sites, including two services users. In order to assess the perception of the results regarding efficacy, users preferences, cost and organizational impact of expanding the screening program, people were asked to complete an online survey. The results of this survey were then used to write a first draft of a recommendation. A second survey was generated in order to obtain agreement of the fifteen people regarding the recommendation. Overall, this method decreased the time required to complete the assessment and reduced project operating costs. However, divergence of opinions may be difficult to resolve by this method and many rounds of consultation may be needed.

CONCLUSIONS:

Our procedural method using a combination of focus groups and online surveys for collecting local and regional data and opinions from stakeholders and support recommendation, has succeeded to provide well contextualized information for supporting a decision.