There are a growing number of published studies that suggest that much health care is delivered inappropriately.
There are calls for measures of appropriateness to be used by purchasers and others to regulate or influence tie delivery of health care.
This paper explores assumptions inherent in results generated by a leading measure of appropriateness and concludes that there are considerable uncertainties about tie measure's meaning, tie magnitude of bias that it contains, and tie degree to which its application can be generalised.
Some of these uncertainties could be resolved if tie tacit assumptions inherent in the generation of tie criteria could be made explicit.
Mots-clés Pascal : Royaume Uni, Randomisation, Homme, Evaluation, Soin, Europe
Mots-clés Pascal anglais : United Kingdom, Randomization, Human, Evaluation, Care, Europe
Notice produite par :
Inist-CNRS - Institut de l'Information Scientifique et Technique
Cote : 94-0701118
Code Inist : 002B30A01C. Création : 09/06/1995.