Using Systems Science for Population Health Management in Primary Care

Objectives: Population health management is becoming increasingly important to organizations managing and providing primary care services given ongoing changes in health care delivery and payment systems. The objective of this study is to show how systems science methodologies could be incorporated...

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Bibliographic Details
Published in:Journal of primary care & community health 2014-10, Vol.5 (4), p.242-246
Main Authors: Li, Yan, Kong, Nan, Lawley, Mark A., Pagán, José A.
Format: Article
Language:English
Subjects:
Aged
Behavioral Risk Factor Surveillance System
Cholesterol
Clinical outcomes
Decision makers
Delivery of Health Care - organization & administration
Diabetes
Diabetes Mellitus - prevention & control
Diet
Disease Management
Exercise
Female
Health care delivery
Health status
Humans
Hypertension
Intervention
Life Style
Lifestyles
Male
Medicare
Overweight - prevention & control
Population
Primary care
Primary Health Care - organization & administration
Risk behavior
Simulation
Surveillance systems
Systems science
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Summary:Objectives: Population health management is becoming increasingly important to organizations managing and providing primary care services given ongoing changes in health care delivery and payment systems. The objective of this study is to show how systems science methodologies could be incorporated into population health management to compare different interventions and improve health outcomes. Methods: The New York Academy of Medicine Cardiovascular Health Simulation model (an agent-based model) and data from the Behavioral Risk Factor Surveillance System were used to evaluate a lifestyle program that could be implemented in primary care practice settings. The program targeted Medicare-age adults and focused on improving diet and exercise and reducing weight. Results: The simulation results suggest that there would be significant reductions projected in the proportion of the Medicare-age population with diabetes after the implementation of the proposed lifestyle program for a relatively long term (3 and 5 years). Similar results were found for the subpopulations with high cholesterol, but the proposed intervention would not have a significant effect in the proportion of the population with hypertension over a time period of
ISSN:2150-1319
2150-1327
DOI:10.1177/2150131914536400