Back to Search Start Over

Recommendations to drive a value-based decision-making on vaccination

Authors :
De Waure, Chiara
Calabro', Giovanna Elisa
Ricciardi, Walter
de Waure C. (ORCID:0000-0002-4346-1494)
Calabro G. E. (ORCID:0000-0003-0259-3797)
Ricciardi W. (ORCID:0000-0002-5655-688X)
De Waure, Chiara
Calabro', Giovanna Elisa
Ricciardi, Walter
de Waure C. (ORCID:0000-0002-4346-1494)
Calabro G. E. (ORCID:0000-0003-0259-3797)
Ricciardi W. (ORCID:0000-0002-5655-688X)
Publication Year :
2022

Abstract

Introduction: Health systems worldwide need to pay attention to both sustainability and quality. The explosion of health technologies represents a challenge for health systems’ sustainability, and evidence-based tools should support resources allocation to guarantee a continuous quality improvement. The value-based approach could disentangle the full benefit of a health technology, and this is of utmost importance in the vaccination field because of several obstacles still existing in reaching optimal vaccination uptake. Areas covered: The paper conveys the evidence on the full value of vaccine(s)/vaccination based on the framework suggested by the Expert Panel on Effective Ways of Investing in Health of the European Commission. Indeed, evidence on the personal, technical, allocative, and societal value of vaccine(s)/vaccination published in the last decade was described as foundation of a following consultation with international experts of the field. The result was the issuing of recommendations for research, decision-making, and public engagement that aimed to drive a value-based decision-making on vaccination. Expert opinion: The development of vaccination programs based on the recognition of the full value of vaccine(s)/vaccination is essential. To achieve this goal, it is necessary to launch intersectoral and multidisciplinary research and implementation initiatives involving all relevant stakeholders.

Details

Database :
OAIster
Notes :
English
Publication Type :
Electronic Resource
Accession number :
edsoai.on1330708965
Document Type :
Electronic Resource