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Peer reviewed Peer reviewed
Kim, Sehwan; Wurster, Leslie; Williams, Charles; Hepler, Nancy – Journal of Drug Education, 1998
The first of three articles that develop a framework for county-based prevention-resource-allocation algorithms based on the aggravated need for substance-abuse-prevention services estimated at the county level. Algorithm development is based on (1) statewide student drug survey, and (2) a set of social indicators routinely published by agencies…
Descriptors: Adolescents, Algorithms, Case Studies, Children
Peer reviewed Peer reviewed
Kim, Sehwan; Wurster, Leslie; Williams, Charles; Hepler, Nancy – Journal of Drug Education, 1998
Presents a model for resource allocation of state-prevention funds based on the relative need for prevention services measured in terms of composite risk-factor index scores computed for each county. Suggests that funding be based on the resource-allocation algorithms rather than the suggested amount of funding computed for each county.…
Descriptors: Algorithms, Prevention, Programs, Resource Allocation
Peer reviewed Peer reviewed
Kim, Sehwan; Wurster, Leslie; Williams, Charles; Hepler, Nancy – Journal of Drug Education, 1998
Discusses the development of an algorithm for an equitable distribution of state prevention funds to its substate jurisdiction based on the need for prevention services. Suggests that the final decision on the level of funding must be based on the selection of the schedule for resource allocation rather than the suggested amount or level of…
Descriptors: Algorithms, Case Studies, Predictor Variables, Prevention