Algorithms for Resource Allocation of Substance Abuse Prevention Funds Based on the Estimated Need: A Case Study on State of Florida -- Part 1

• NCJ Number: 181306
• Journal: Journal of Drug Education Volume: 28 Issue: 2 Dated: 1998 Pages: 87-106
• Author(s): Sehwan Kim Ph.D.; Leslie Wurster MPA; Charles Williams Ph.D.; Nancy Hepler Ph.D.
• Date Published: 1998
• Length: 20 pages
• Publication Format: Article
• Language: English
• Country: United States of America

Annotation

This article develops a framework for county-based prevention resource allocation algorithms based on the aggregated need for substance abuse prevention services estimated at the county level.

Abstract

Development of these algorithms was founded upon a 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 were devised by developing several indexes of prevention needs that were 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 empirically related to COMDRUG observed at the county level. This part of the case study is devoted to the sampling method used, poststratification weighting methods used to estimate county-based COMDRUG and the development of resource allocation models based on COMDRUG and the IOM definitions of prevention target populations. Tables, references