| Literature DB >> 35177080 |
Paola Zaratin1, Deborah Bertorello2, Roberta Guglielmino2, Danilo Devigili3, Giampaolo Brichetto2, Valentina Tageo4, Gabriele Dati2, Stephanie Kramer5, Mario Alberto Battaglia2,6, Monica Di Luca5,7.
Abstract
The COVID-19 pandemic has unmasked even more clearly the need for research and care to form a unique and interdependent ecosystem, a concept which has emerged in recent years. In fact, to address urgent and unexpected missions such as "fighting all together the COVID-19 pandemic", the importance of multi-stakeholder collaboration, mission-oriented governance and flexibility has been demonstrated with great efficacy. This calls for a policy integration strategy and implementation of responsible research and innovation principles in health, promoting an effective cooperation between science and society towards a shared mission. This article describes the MULTI-ACT framework and discusses how its innovative approach, encompassing governance criteria, patient engagement and multidisciplinary impact assessment, represents a holistic management model for structuring responsible research and innovation participatory governance in brain conditions research.Entities:
Keywords: Co-accountability; Mission-oriented research; Participatory governance; Patient engagement; Responsible research and innovation
Mesh:
Year: 2022 PMID: 35177080 PMCID: PMC8853400 DOI: 10.1186/s12961-022-00825-2
Source DB: PubMed Journal: Health Res Policy Syst ISSN: 1478-4505
Fig. 1The MULTI-ACT strategic framework
Fig. 2The MULTI-ACT CRIF user journey through the five phases
The MULTI-ACT patient engagement guidelines: recommendations to the EC
| To require brain health research promoters to conduct their R&I with a multi-stakeholder and co-accountable approach by engaging patients in their research agendas towards RRI |
| To provide adequate funding to support the patient engagement strategy in brain R&I projects |
| To encourage researchers working with patient organizations to enable the transition from individual to collective patients’ experiential knowledge |
| To recommend the use of metrics to evaluate the performance and effectiveness of patient engagement in research |