Moving towards a new framework to critically differentiate between and categorise stakeholders to be engaged in the evaluation of health technologies  The Stake-frame

Maria Inês Vilão Oliveira Pagaimo

Key information

Authors:

Maria Inês Vilão Oliveira Pagaimo (Maria Inês Vilão Oliveira Pagaimo)

Supervisors:

Ana Catarina Lopes Vieira Godinho de Matos (Ana Vieira); Mónica Duarte Correia de Oliveira (Mónica Duarte Correia de Oliveira)

Published in

January 20, 2021

Abstract

The problem of systematic categorisation of stakeholders is still poorly developed in the literature. With the IMPACT-HTA research, the first step of the stakeholder analysis was concluded, corresponding to the stakeholder identification phase. Therefore, this dissertation extended the previous work done in the IMPACT-HTA research and included the differentiation between and categorisation of stakeholders component, the second stage of stakeholder analysis (SA). We review the existing visual mapping methods in the literature to understand which techniques were the most appropriate to use combined with the CSH, the stakeholder identification tool. As a result, only three mapping methods were relevant to the literature. However, these methods were barely addressed in a specific mapping context. We chose the Stakeholder Classes and Salience model by (Mitchell, Agle, & Wood, 1997) and we adapted its dimensions to the CSH framework, developed by (Ulrich, 1983, 1987, 2003, 2005). Then, we developed the architecture structure for the new framework, following five steps of methodological research. As a result, new stakeholder categories and subcategories (or classes) emerged. Afterwards, we conducted workshops to exchange theoretical knowledge in design thinking and information visualisation for constructing and design the new visual framework to highlight the salience of the stakeholders who participate in the decision-making process and categorise them. In the end, we applied it to the IMPACT-HTA case study: all the 6 HTA agencies have a different mapping of stakeholders, reflecting different health systems, proving the mapping is sensitive to different realities and visually gives this perception.