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Advancing the use of evidence-based decision-making in local health departments with systems science methodologies

Author

Listed:
  • Li, Y.
  • Kong, N.
  • Lawley, M.
  • Weiss, L.
  • PagÁn, J.A.

Abstract

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/m2 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/m2 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.

Suggested Citation

  • Li, Y. & Kong, N. & Lawley, M. & Weiss, L. & PagÁn, J.A., 2015. "Advancing the use of evidence-based decision-making in local health departments with systems science methodologies," American Journal of Public Health, American Public Health Association, vol. 105, pages 217-222.
    • Handle: RePEc:aph:ajpbhl:10.2105/ajph.2014.302077_1
    DOI: 10.2105/AJPH.2014.302077
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