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https://doi.org/10.1007/978-3-...
Part of book or chapter of book . 2020 . Peer-reviewed
License: Springer TDM
Data sources: Crossref
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Evaluation of Predictive Genomic Applications

Authors: Villari P.; Pitini E.; D'Andrea E.; Rosso A.;

Evaluation of Predictive Genomic Applications

Abstract

The last fifteen years have seen the emergence of Public Health Genomics (PHG), a multidisciplinary field related to the effective and responsible translation of genome-based knowledge and technologies to improve population health. While at the beginning the main concern of PHG was that genetic/genomic applications should be evaluated rigorously before entering into clinical and public health (PH) practice, now the main matter is around the fact that there are some genetic/genomic applications with proved efficacy and cost-effectiveness that should be implemented and become citizens’ rights. In any case, there is a critical need for a robust evaluation process that takes into account also context-related dimensions (delivery models, economic evaluation and organisational aspects) to facilitate the implementation of these technologies. Systematic reviews of full economic evaluations of genetic/genomic applications are of paramount importance to identify all feasible health programmes involving a defined use of a particular genetic/genomic application and to recognise which health programmes can maximise the value of that genetic/genomic application. Cost-effectiveness analyses may be useful also in the early stages of the evaluation process to assess which characteristics of a genetic/genomic application need to be improved. Finally, the implementation of genetic/genomics applications requires specific training efforts for public health professional to increase their current level of competence. All these issues are addressed in this chapter, using the population health perspective and the point of view of PH.

Keywords

cost-effectiveness; health programmes; health technology assessment; public health professionals; service delivery; training needs

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average
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