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Article de Périodique
Basing drug scheduling decisions on scientific ranking of harmfulness: false promise from false premises [For debate] (2011)
(Baser des décisions en matière de drogue selon un classement scientifique de la nocivité : fausse promesse à partir de faux principes)
Auteur(s) :
CAULKINS, J. P. ;
REUTER, P. ;
COULSON, C.
Année
2011
Page(s) :
1886-1890
Langue(s) :
Anglais
Refs biblio. :
20
Domaine :
Plusieurs produits / Several products
Discipline :
SAN (Santé publique / Public health)
Thésaurus mots-clés
POLITIQUE
;
PLANIFICATION SANITAIRE
;
CLASSIFICATION
;
DANGER
;
PROHIBITION
;
INTERACTION CHIMIQUE
Note générale :
COMMENTARIES:
- Nutt et al.'s harm scales for drugs-room for improvement but better policy based on science with limitations than no science at all. Fischer B., Kendall P., p. 1891-1892.
- Let not the best be the enemy of the good. Nutt D., p. 1892-1893.
- Can harm ratings be useful? Rossow I., p. 1893-1894.
- Improved ranking of drugs on harmfulness can bring sense and order to a failed system. Obot I.S., p. 1894-1895.
- Scales and blinkers, motes and beams - whose view is obstructed on drug scheduling? Room R., p. 1895-1896.
- Response to commentaries. Caulkins J.P., Reuter P., Coulson C., p. 1896-1898.
- Nutt et al.'s harm scales for drugs-room for improvement but better policy based on science with limitations than no science at all. Fischer B., Kendall P., p. 1891-1892.
- Let not the best be the enemy of the good. Nutt D., p. 1892-1893.
- Can harm ratings be useful? Rossow I., p. 1893-1894.
- Improved ranking of drugs on harmfulness can bring sense and order to a failed system. Obot I.S., p. 1894-1895.
- Scales and blinkers, motes and beams - whose view is obstructed on drug scheduling? Room R., p. 1895-1896.
- Response to commentaries. Caulkins J.P., Reuter P., Coulson C., p. 1896-1898.
Résumé :
In recent years a number of studies have attempted to rank drugs by a single measure of harmfulness as the basis for decisions about scheduling and classification. These efforts are fundamentally flawed, both conceptually and methodologically. The effort to provide a single measure masks the variety of non-comparable dimensions that are relevant, the fact that benefits are ignored for most, but not all, drugs and that the harms of a drug are not invariant to the policy regime chosen. Methodologically, the most prominent recent effort ignores drug interactions and mixes aggregate and individual harms inappropriately. Instead we suggest that multiple dimensions of harm need to be displayed to inform human judgments of what drugs should be scheduled. Harm is not usefully reducible to a single dimension, and even perfect rankings would not constitute a 'sufficient statistic' for determining scheduling decisions.
Affiliation :
Carnegie Mellon University Heinz College, Pittsburgh, PA, USA