Evidence Based Public Health for Local Health Practice

The PRC has developed Evidence Based Public Health for Local Health Practice in collaboration with the New York State Department of Health’s Center for Community Health. The course faculty includes Christopher M. Maylahn, MPH and Cate Bohn, MPH from NYSDOH and Edward Waltz, PhD, Associate Director of the PRC.

The course was modeled on a course offered at the St. Louis University PRC; and we greatly appreciate ongoing consultation from Ross Brownson, PhD, Beth Baker, PhD, and colleagues during the development of this curriculum.

Course Overview

Effective programs and policies to promote the health of New York State residents should be based on a thorough assessment of health problems in a given community, including the risks they face and the opportunities to reduce these risks. A response to these problems should be based on the most up-to-date scientific evidence on what works to prevent or control these problems.

EBPH for Local Health Practice covers the essential steps in finding data and scientific literature to identify effective interventions, weighing these options in recommending an approach to take, and then developing a programmatic response. Participants learn:

  • How to access existing data systems, interpret the information they contain, and use data to impact specific programs or decision-makers. Special attention is paid to the problem of small numbers frequently encountered in data from small communities.

  • How to search and critically appraise scientific literature and other sources for evidence about what works and recommend the most promising programmatic options.

  • How a program plan is developed, starting with a logic model, and describing methods for monitoring and evaluation.

The two-day course comprises a mixture of didactic sections, small group exercises, two hands-on computer lab sessions, and case studies. We strongly encourage organizations to send small teams (2-4 persons) to maximize the experiences in group exercises and facilitate transfer of learning back into the workplace.

Faqs About The Course

Course Outline

Downloadable course handouts

First day

  • Introduction and Philosophy
  • Quantitative and Qualitative Tools for Descriptive Epidemiology
  • Finding Data [computer lab]
  • Reviewing Data
  • Research Methods
  • Searching the Literature [computer lab]

Second day

  • Cost Related Issues
  • Identifying Options Supported by Evidence and Selecting Interventions
  • Program Planning and the Logic Model
  • Logic Model Exercise
  • Monitoring & Evaluation
  • Case Study Wrap-Up