Advancing the Use of Evidence-Based Decision-Making in Local Health Departments With Systems Science Methodologies | Academic Article individual record

OBJECTIVES: We assessed how systems science methodologies might be used to bridge resource gaps at local health departments (LHDs) so that they might better implement evidence-based decision-making (EBDM) to address population health challenges. METHODS: We used the New York Academy of Medicine Cardiovascular Health Simulation Model to evaluate the results of a hypothetical program that would reduce the proportion of people smoking, eating fewer than 5 fruits and vegetables per day, being physically active less than 150 minutes per week, and who had a body mass index (BMI) of 25 kg/m(2) or greater. We used survey data from the Behavioral Risk Factor Surveillance System to evaluate health outcomes and validate simulation results. RESULTS: Smoking rates and the proportion of the population with a BMI of 25 kg/m(2) or greater would have decreased significantly with implementation of the hypothetical program (P < .001). Two areas would have experienced a statistically significant reduction in the local population with diabetes between 2007 and 2027 (P < .05). CONCLUSIONS: The use of systems science methodologies might be a novel and efficient way to systematically address a number of EBDM adoption barriers at LHDs.

author list (cited authors)
Li, Y., Kong, N., Lawley, M., Weiss, L., & Pagan, J. A.
publication date
  • Exercise
  • Adult
  • Diet
  • Smoking
  • Models, Theoretical
  • Systems Analysis
  • Local Government
  • Decision Making
  • Middle Aged
  • Evidence-Based Practice
  • Chronic Disease
  • New York
  • Public Health Practice
  • Male
  • Health Behavior
  • Humans
  • Female
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