The purposes of Parts 1-3 of this article is to develop a framework for county-based prevention resource allocation algorithms based on the aggregated need for substance abuse prevention services estimated at the county level.
The development of these algorithms is founded upon two databases : statewide student drug survey and a set of social indicators routinely collected and published by various agencies of the state of Florida.
The resource allocation models are devised by developing several indices of prevention needs that are conceptualized in terms of : 1) county-based composite drug use index (COMDRUG), 2) the definitions of prevention target populations as envisioned by the Institute of Medicine (IOM), 3) composite risk-factor index score, and 4) a set of social indicators that are empirically related to COMDRUG observed at the county level.
The first three models are based on the prevention needs estimated from the statewide student survey on substance abuse.
The social indicator model, however, is presented as an alternative resource allocation model which may be used in lieu of or in the absence of statewide survey.
The resource allocation algorithms found on these four conceptualizations are thought to be more equitable and appropriate to the prevention needs of various communities than may be contrived otherwise. (...)
Mots-clés Pascal : Prévention, Toxicomanie, Alcoolisme, Tabagisme, Allocation ressource, Modèle, Algorithme, Santé mentale, Floride, Etats Unis, Amérique du Nord, Amérique, Homme
Mots-clés Pascal anglais : Prevention, Drug addiction, Alcoholism, Tobacco smoking, Resource allocation, Models, Algorithm, Mental health, Florida, United States, North America, America, Human
Notice produite par :
Inist-CNRS - Institut de l'Information Scientifique et Technique
Cote : 98-0356409
Code Inist : 002B18H05A. Création : 25/01/1999.