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The Contribution of Health Technology Assessment, Health Needs Assessment, and Health Impact Assessment to the Assessment and Translation of Technologies in the Field of Public Health Genomics

Published on Jan 1, 2011in World review of nutrition and dietetics1.30
· DOI :10.1159/000318317
N. Rosenkötter1
Estimated H-index: 1
(UM: Maastricht University),
Hindrik Vondeling14
Estimated H-index: 14
+ 3 AuthorsAngela Brand17
Estimated H-index: 17
(Manipal University)
Abstract
The European Union has named genomics as one of the promising research fields for the development of new health technologies. Major concerns with regard to these fields are, on the one hand, the rather slow and limited translation of new knowledge and, on the other hand, missing insights into the impact on public health and health care practice of those technologies that are actually introduced. This paper aims to give an overview of the major assessment instruments in public health [health technology assessment (HTA), health needs assessment (HNA) and health impact assessment (HIA)] which could contribute to the systematic translation and assessment of genomic health applications by focussing at population level and on public health policy making. It is shown to what extent HTA, HNA and HIA contribute to translational research by using the continuum of translational research (T1–T4) in genomic medicine as an analytic framework. The selected assessment methodologies predominantly cover 2 to 4 phases within the T1–T4 system. HTA delivers the most complete set of methodologies when assessing health applications. HNA can be used to prioritize areas where genomic health applications are needed or to identify infrastructural needs. HIA delivers information on the impact of technologies in a wider scope and promotes informed decision making. HTA, HNA and HIA provide a partly overlapping and partly unique set of methodologies and infrastructure for the translation and assessment of genomic health applications. They are broad in scope and go beyond the continuum of T1–T4 translational research regarding policy translation.
  • References (31)
  • Citations (25)
References31
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Cited By25
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#2Kristina Alexanderson (KI: Karolinska Institutet)H-Index: 47
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#1Daniel G. Fort (NU: Northwestern University)H-Index: 2
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