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A system dynamics model for planning cardiovascular disease interventions

Author

Listed:
  • Hirsch, G.
  • Homer, J.
  • Evans, E.
  • Zielinski, A.

Abstract

Planning programs for the prevention and treatment of cardiovascular disease (CVD) is a challenge to every community that wants to make the best use of its limited resources. Selecting programs that provide the greatest impact is difficult because of the complex set of causal pathways and delays that link risk factors to CVD. We describe a system dynamics simulation model developed for a county health department that incorporates and tracks the effects of those risk factors over time on both first-time and recurrent events. We also describe how the model was used to evaluate the potential impacts of various intervention strategies for reducing, the county's CVD burden and present the results of those policy tests.

Suggested Citation

  • Hirsch, G. & Homer, J. & Evans, E. & Zielinski, A., 2010. "A system dynamics model for planning cardiovascular disease interventions," American Journal of Public Health, American Public Health Association, vol. 100(4), pages 616-622.
  • Handle: RePEc:aph:ajpbhl:10.2105/ajph.2009.159434_1
    DOI: 10.2105/AJPH.2009.159434
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    Cited by:

    1. Negar Darabi & Niyousha Hosseinichimeh, 2020. "System dynamics modeling in health and medicine: a systematic literature review," System Dynamics Review, System Dynamics Society, vol. 36(1), pages 29-73, January.
    2. Guilherme Zammar & Henrique Meister & Jatin Shah & Amruta Phadtare & Luciana Cofiel & Ricardo Pietrobon, 2010. "So Different, yet So Similar: Meta-Analysis and Policy Modeling of Willingness to Participate in Clinical Trials among Brazilians and Indians," PLOS ONE, Public Library of Science, vol. 5(12), pages 1-6, December.
    3. McGill, Elizabeth & Er, Vanessa & Penney, Tarra & Egan, Matt & White, Martin & Meier, Petra & Whitehead, Margaret & Lock, Karen & Anderson de Cuevas, Rachel & Smith, Richard & Savona, Natalie & Rutter, 2021. "Evaluation of public health interventions from a complex systems perspective: A research methods review," Social Science & Medicine, Elsevier, vol. 272(C).
    4. John Pastor Ansah & Shawn Tan Yi Wei & Tessa Lui Shi Min, 2020. "An evaluation of the impact of aggressive diabetes and hypertension management on chronic kidney diseases at the population level: a simulation analysis," System Dynamics Review, System Dynamics Society, vol. 36(4), pages 497-522, October.
    5. Reda Lebcir & Rifat Atun, 2021. "Resources management impact on neonatal services performance in the United Kingdom: A system dynamics modelling approach," International Journal of Health Planning and Management, Wiley Blackwell, vol. 36(3), pages 793-812, May.
    6. Stankov, Ivana & Useche, Andres Felipe & Meisel, Jose D. & Montes, Felipe & Morais, Lidia MO. & Friche, Amelia AL. & Langellier, Brent A. & Hovmand, Peter & Sarmiento, Olga Lucia & Hammond, Ross A. & , 2021. "From causal loop diagrams to future scenarios: Using the cross-impact balance method to augment understanding of urban health in Latin America," Social Science & Medicine, Elsevier, vol. 282(C).
    7. Chang, Angela Y. & Ogbuoji, Osondu & Atun, Rifat & Verguet, Stéphane, 2017. "Dynamic modeling approaches to characterize the functioning of health systems: A systematic review of the literature," Social Science & Medicine, Elsevier, vol. 194(C), pages 160-167.

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