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Updated: Aug 10, 2026

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
Published on: January 11, 2020
Program maturity and cost analysis in the evaluation of primary prevention programs
Abstract:
Primary prevention has been growing as a major initiative in mental health, and to avoid overpromising its benefits, primary prevention programs must be evaluated in a systematic and effective fashion. Information on the developmental maturity and the direct costs of a program is very useful in assessing its merit, even if definitive findings on incidence reduction are not available for many years. This paper outlines the steps by which information on a program's developmental maturity and direct costs can be obtained, and discusses the implications of these steps for primary prevention policy.
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