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Using a Stakeholder Analysis to Improve Systems Modelling of Health Issues: The Impact of Progesterone Therapy on Infant Mortality in Ohio

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  • Niyousha Hosseinichimeh
  • Hyunjung Kim
  • Alireza Ebrahimvandi
  • Jay Iams
  • David Andersen

Abstract

Systems modelling of health issues enriches analysis of health care policies by exploring interdependencies among system components. Considering a wide range of stakeholder behavior is a requisite for developing a useful model. Our paper shows how to systematically identify stakeholder behavior, formulate them in a model and test their impact on health outcomes. Stakeholder behavior are explained in the context of a simulation‐based analysis of infant mortality in Ohio. Using group model building techniques, we identify three levels of stakeholder behavior—individual, organizational and policy behaviors—and discuss how these behaviors are reflected in the model formulation and drive the key health outcomes. Specifically, we show how individual and policy behaviors are formulated to examine their influence on the impact of progesterone therapy—one of the interventions identified in the group model building session—on infant mortality. We conclude with recommendations for incorporating diverse stakeholder perspectives in systems modelling of health issues. © 2018 John Wiley & Sons, Ltd.

Suggested Citation

  • Niyousha Hosseinichimeh & Hyunjung Kim & Alireza Ebrahimvandi & Jay Iams & David Andersen, 2019. "Using a Stakeholder Analysis to Improve Systems Modelling of Health Issues: The Impact of Progesterone Therapy on Infant Mortality in Ohio," Systems Research and Behavioral Science, Wiley Blackwell, vol. 36(4), pages 476-493, July.
    • Handle: RePEc:bla:srbeha:v:36:y:2019:i:4:p:476-493
    DOI: 10.1002/sres.2563
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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. Kirsten Davis & Navid Ghaffarzadegan & Jacob Grohs & Dustin Grote & Niyousha Hosseinichimeh & David Knight & Hesam Mahmoudi & Konstantinos Triantis, 2020. "The Lake Urmia vignette: a tool to assess understanding of complexity in socio‐environmental systems," System Dynamics Review, System Dynamics Society, vol. 36(2), pages 191-222, April.
    3. Hosseinichimeh, Niyousha & MacDonald, Rod & Li, Kaigang & Fell, James C. & Haynie, Denise L. & Simons-Morton, Bruce & Banz, Barbara C. & Camenga, Deepa R. & Iannotti, Ronald J. & Curry, Leslie A. & Dz, 2022. "Mapping the complex causal mechanisms of drinking and driving behaviors among adolescents and young adults," Social Science & Medicine, Elsevier, vol. 296(C).

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