The Program Archive on Sexuality, Health & Adolescence (PASHA) identifies programs aimed at preventing pregnancies and sexually transmitted diseases among teenagers, and makes materials from interventions with demonstrated effectiveness available to practitioners around the country. With the assistance of a panel of experts, PASHA has identified an initial group of 15 pregnancy prevention and 15 sexually transmitted disease prevention programs for inclusion in its collection; to date, 24 programs have accepted PASHA's invitation to participate. Once a program agrees to participate, PASHA packages all materials required to replicate or adapt the intervention, along with a user's guide, two evaluation instruments and a directory guiding users to sources of assistance. As additional effective programs are identified and agree to submit their materials for archiving and distribution, they will be added to the collection.

This article presents the Prevention Minimum Evaluation Data Set (PMEDS), a ready-to-use questionnaire or tool for evaluating teen pregnancy prevention and teen STD/HIV/AIDS prevention programs. Recognizing the diversity of approaches taken by these programs, PMEDS has two parts. Part 1 contains a primary questionnaire applicable to all programs. Part 2 consists of 15 additional supplementary modules for optional use by programs with a more specific target population or intervention approach that matches the module's content. It is hoped that PMEDS will facilitate the conducting of high-quality evaluations, first by highlighting important aspects of a program model that should be included in an evaluation, such as the demographic profile of the target population, the specific aspects of the intervention or treatment received by each participant, and the short-term outcomes and long-term goals that the program is trying to affect; second, by presenting measures for these evaluation constructs that have been extensively pretested and used in large-scale national studies and for which national comparison norms and data exist.

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