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Systems science can provide important tools for population health management, according to new research by Dr. José Pagán, Director of NYAM’s Center for Health Innovation, and colleagues from Purdue University published in the Journal of Primary Care & Community Health.
Systems science is an interdisciplinary field that studies complex systems. Modern systems science methodologies including agent-based modeling (ABM) are widely used to study complex emergent phenomena in the social and behavioral sciences. This study shows how systems science methodologies can be used to evaluate interventions and improve health outcomes.
Dr. Pagan and his colleagues built an example, the NYAM Cardiovascular Health Simulation Model, that simulates a population of older adults and demonstrates what would happen over five years to the proportion of the population with diabetes, hypertension, and high cholesterol if those individuals adopted a lifestyle modification program targeting diet, exercise and weight. The model can be used by health and health care organizations to compare the outcomes of different lifestyle programs and clinical interventions designed to improve health.
“These tools could become an important component of population health management because they can help decision makers at health systems, health plans, and community health providers evaluate alternative programs in primary care settings,” said Dr. Pagán.
Li Y, Kong N, Lawley MA, Pagán JA. Using systems science for population health management in primary care. Journal of Primary Care & Community Health, 2014;May. DOI: 10.1177/2150131914536400. (View abstract and full text)
Posted on June 20, 2014
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