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Policy making dealing with the introduction of new technologies in health care and rehabilitation is increasingly based on scientific data. Evidence based medicine (EBM) means a conscious and systematic use of best available data. Grading of evidence depends on quality of studies. For instance, randomized controlled studies may lead to stronger recommendations than controlled studies or observational studies. Factors which make it difficult to carry out strong studies of AT are proposed. State of the art regarding cost-effectiveness analysis (CEA) of AT is described. It is proposed that, in a situation where AT tends to be a loser on the market, more and better CEAs are carried out, that the standards of CEAs are improved, that policy making is refined with regard to criteria for adoption of innovation, and that collaboration with manufacturers is developed.
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