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Synthesizing quantitative and qualitative information on multiple comparisons of health interventions to facilitate knowledge transfer: an example from an EUnetHTA multi-HTA

Published online by Cambridge University Press:  09 February 2022

Giulio Formoso*
Affiliation:
Clinical Governance Unit, Local Health Authority – IRCCS of Reggio Emilia. Via Amendola 2, 42122 Reggio Emilia, Italy
Ana Jeroncic
Affiliation:
Department of Research in Biomedicine and Health, University of Split School of Medicine, Split, Croatia
Laura Bonvicini
Affiliation:
Epidemiology Unit, Local Health Authority – IRCCS of Reggio Emilia, Reggio Emilia, Italy
Olivera Djuric
Affiliation:
Epidemiology Unit, Local Health Authority – IRCCS of Reggio Emilia, Reggio Emilia, Italy Center for Environmental, Nutritional and Genetic Epidemiology (CREAGEN), Section of Public Health, Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, Modena, Italy
Judit Erdos
Affiliation:
HTA Austria – Austrian Institute for Health Technology Assessment GmbH, Vienna, Austria
Annamaria Pezzarossi
Affiliation:
Epidemiology Unit, Local Health Authority – IRCCS of Reggio Emilia, Reggio Emilia, Italy
Luciana Ballini
Affiliation:
Local Health Authority, Modena, Italy Regional Health and Social Care Authority, Emilia-Romagna, Italy
*
Author for correspondence: Giulio Formoso, E-mail: [email protected]

Abstract

Objective

Presenting an approach to synthesize quantitative and qualitative information from systematic reviews of multiple health interventions.

Methods

Within the context of an EUnetHTA multi-health technology assessment of twenty-three surgical techniques, we developed synthetic single tables, using color gradients and abbreviations, with information on which technologies had been compared, estimates of the size of differences for available comparisons, their clinical relevance, and certainty of the related evidence.

Results

The proposed methodology provided, through a single depiction, information normally included in multiple figures/tables such as network plots, league tables, and summary of findings tables.

Conclusion

Transferring information on benefits, risks, and certainty of the available evidence on health interventions may be challenging, especially when assessing multiple treatments: more pieces of information need to be integrated in order to show an overall picture for each of the chosen outcomes, and usual reporting tools may be targeted to researchers more than to different kinds of decision makers. While more in-depth layers of information can always be added to satisfy needs of different audiences, the proposed tools could favor a quick interpretation of articulated scientific data by both decision makers and researchers.

Type
Method
Copyright
Copyright © The Author(s), 2022. Published by Cambridge University Press

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References

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