How should genetic tests be evaluated? Final Results of a systematic review of the existing toolsErica Pitini
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European Journal of Public Health, Vol. 26, Supplement 1, 2016
utility and ethical, legal and social implications. The economic
dimension is always considered even if in little detail. Attention
for delivery models, organizational aspects, consumer’s point
of view is often lacking and only few models highlight research
priorities or criteria to recommend the use of the test.
Conclusions
These results unearth the lack of a standardized, shared and
complete process for the evaluation of genetic tests and the
need to develop an unifying proposal, based on the strengths
and weaknesses of the retrieved models.
Key messages:
This systematic review identified three main tools for the
evaluation of genetic tests: the ACCE model, the HTA
process and the Wilson and Junger population screening
principles
There is the need to develop a unifying proposal of a
complete and innovative process to evaluate genetic tests,
relevant to the different national and local contexts
How should genetic tests be evaluated? Final Results
of a systematic review of the existing tools
Erica Pitini
E Pitini, C Marzuillo, E D’Andrea, B Unim, A Rosso, C De Vito, P Villari
Department of Public Health and Infectious Diseases, Sapienza University,
Rome, Italy
Contact:
Background
Given the increasingly rapid development of genetic tests, the
assessment of their actual benefits is crucial for clinical and public
health practice. For this purpose, different evaluation models have
been developed. Our aim was to identify and compare in a
systematic manner the existing evaluation models for genetic
tests, considering their methodology and evaluation criteria.
Methods
We performed a systematic review of the literature through
PUBMED, SCOPUS, ISI Web of Knowledge, Google Scholar,
Google and grey literature sources including any document
describing models for evaluating genetic tests such as research
articles, congress abstract, documents of government agencies
and research organizations. A Delphi survey involving Italian
experts in Public Health Genomics has been performed to
reach consensus on data extraction.
Results
We identified 26 models dated between 2000 and 2015 (USA
n.10, Canada n.4, Europe n.9, Australia n.1, International n.2),
mostly based on the ACCE model (n.12 models), on the HTA
model (n.6) or both (n.2). The other ones refer to Wilson and
Junger screening criteria (n.2) or to a mix of different criteria
(n.4). While 14 tools address all types of genetic test, the other
12 address a specific type of genetic test (i.e. screening,
presymptomatic, susceptibility, pharmacogenetic). Most used
evaluation criteria are analytic and clinical validity, clinical
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