Back to Annual Meeting Page		American Public Health Association 133rd Annual Meeting & Exposition December 10-14, 2005 Philadelphia, PA

Abstract #111386

Daniel P. Feinberg, M Ed¹, Edward Skawinski, MEd², Priti R. Irani, MS³, Michael Medvesky, MPH³, Cate Bohn, MPH⁴, Christopher Maylahn, MPH⁵, and Anne Radigan, BS⁴. (1) Professional Development Program, Rockefeller College, University at Albany, 135 Western Ave., Husted Hall, Room 211, Albany, NY 12222, 518 437 3627, dfeinberg@pdp.albany.edu, (2) Professional Devt. Program, University at Albany, 135 Western Avenue, Albany, NY 12222, (3) Public Health Information Group, New York State Department of Health, 750 Corning Tower, Albany, NY 12237, (4) New York State Dept of Health, Public Health Info Group, CCH, Rm 750, Tower, ESP, Albany, NY 12237, (5) New York State Dept of Health, Division of Chronic Disease Prevention and Adult Health, Room 511 - Empire State Plaza, Tower Bldg, Albany, NY 12237

In this session, we will: 1. Briefly describe the design and development of the self-paced, web-based course, “Using an Evidence-Based Approach to Address Disparities in Birth Outcomes” 2. Deconstruct the selection of learning strategies and other decisions made in the development process. 3. Discuss the balance between teaching the evidence-based public health framework and applying the framework to an authentic situation.

“Using an Evidence-Based Approach to Address Disparities in Birth Outcomes” is a self-paced, web-based course, that teaches the evidence-based public health decision-making process by plunging learners into a realistic situation. In the course, learners are asked to understand and employ the evidence-based framework to research and develop an intervention strategy that addresses disparities in birth outcomes in a local community. Learners makes a series of choices about finding data to accurately describe the problem, evaluate interventions based on evidence and applicability to the community, and defend their choices. The course outcome—securing funding for interventions chosen—depends on sound evidence-based decision-making.

Learning Objectives: