Resumen de Advancing the Use of Evidence-Based Decision-Making in Local Health Departments With Systems Science Methodologies.
Yan Li, Nan Kong, Mark Lawley, Linda Weiss, José A Pagán
Objectives. We assessed how system s 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 system s science methodologies might be a novel and efficient way to systematically address a number of EBDM adoption barriers at LHDs. [ABSTRACT FROM AUTHOR]
