IDEAS home Printed from https://ideas.repec.org/a/plo/pone00/0161405.html
   My bibliography  Save this article

A Dynamic Model of Post-Traumatic Stress Disorder for Military Personnel and Veterans

Author

Listed:
  • Navid Ghaffarzadegan
  • Alireza Ebrahimvandi
  • Mohammad S Jalali

Abstract

Post-traumatic stress disorder (PTSD) stands out as a major mental illness; however, little is known about effective policies for mitigating the problem. The importance and complexity of PTSD raise critical questions: What are the trends in the population of PTSD patients among military personnel and veterans in the postwar era? What policies can help mitigate PTSD? To address these questions, we developed a system dynamics simulation model of the population of military personnel and veterans affected by PTSD. The model includes both military personnel and veterans in a “system of systems.” This is a novel aspect of our model, since many policies implemented at the military level will potentially influence (and may have side effects on) veterans and the Department of Veterans Affairs. The model is first validated by replicating the historical data on PTSD prevalence among military personnel and veterans from 2000 to 2014 (datasets from the Department of Defense, the Institute of Medicine, the Department of Veterans Affairs, and other sources). The model is then used for health policy analysis. Our results show that, in an optimistic scenario based on the status quo of deployment to intense/combat zones, estimated PTSD prevalence among veterans will be at least 10% during the next decade. The model postulates that during wars, resiliency-related policies are the most effective for decreasing PTSD. In a postwar period, current health policy interventions (e.g., screening and treatment) have marginal effects on mitigating the problem of PTSD, that is, the current screening and treatment policies must be revolutionized to have any noticeable effect. Furthermore, the simulation results show that it takes a long time, on the order of 40 years, to mitigate the psychiatric consequences of a war. Policy and financial implications of the findings are discussed.

Suggested Citation

  • Navid Ghaffarzadegan & Alireza Ebrahimvandi & Mohammad S Jalali, 2016. "A Dynamic Model of Post-Traumatic Stress Disorder for Military Personnel and Veterans," PLOS ONE, Public Library of Science, vol. 11(10), pages 1-17, October.
  • Handle: RePEc:plo:pone00:0161405
    DOI: 10.1371/journal.pone.0161405
    as

    Download full text from publisher

    File URL: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0161405
    Download Restriction: no

    File URL: https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0161405&type=printable
    Download Restriction: no

    File URL: https://libkey.io/10.1371/journal.pone.0161405?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Tarek Abdel-Hamid & Felix Ankel & Michele Battle-Fisher & Bryan Gibson & Gilberto Gonzalez-Parra & Mohammad Jalali & Kirsikka Kaipainen & Nishan Kalupahana & Ozge Karanfil & Achla Marathe & Brian Mart, 2014. "Public and health professionals’ misconceptions about the dynamics of body weight gain/loss," System Dynamics Review, System Dynamics Society, vol. 30(1-2), pages 58-74, January.
    2. Barlas, Yaman, 1989. "Multiple tests for validation of system dynamics type of simulation models," European Journal of Operational Research, Elsevier, vol. 42(1), pages 59-87, September.
    3. Hirsch, G. & Homer, J. & Trogdon, J. & Wile, K. & Orenstein, D., 2014. "Using simulation to compare 4 categories of intervention for reducing cardiovascular disease risks," American Journal of Public Health, American Public Health Association, vol. 104(7), pages 1187-1195.
    4. Homer, J.B. & Hirsch, G.B., 2006. "System dynamics modeling for public health: Background and opportunities," American Journal of Public Health, American Public Health Association, vol. 96(3), pages 452-458.
    5. Hazhir Rahmandad, 2015. "Connecting strategy and system dynamics: an example and lessons learned," System Dynamics Review, System Dynamics Society, vol. 31(3), pages 149-172, July.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Martin F. G. Schaffernicht & Stefan N. Groesser, 2016. "A competence development framework for learning and teaching system dynamics," System Dynamics Review, System Dynamics Society, vol. 32(1), pages 52-81, January.
    2. 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.
    3. Edward G. Anderson & David R. Keith & Jose Lopez, 2023. "Opportunities for system dynamics research in operations management for public policy," Production and Operations Management, Production and Operations Management Society, vol. 32(6), pages 1895-1920, June.
    4. Navarro, Andres & Tapiador, Francisco J., 2019. "RUSEM: A numerical model for policymaking and climate applications," Ecological Economics, Elsevier, vol. 165(C), pages 1-1.
    5. Chang, Pao-Long & Ho, Shu-Ping & Hsu, Chiung-Wen, 2013. "Dynamic simulation of government subsidy policy effects on solar water heaters installation in Taiwan," Renewable and Sustainable Energy Reviews, Elsevier, vol. 20(C), pages 385-396.
    6. Meimei Wang & Steffen Flessa, 2020. "Modelling Covid-19 under uncertainty: what can we expect?," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 21(5), pages 665-668, July.
    7. Karen Minyard & Tina A. Smith & Richard Turner & Bobby Milstein & Lori Solomon, 2018. "Community and programmatic factors influencing effective use of system dynamic models," System Dynamics Review, System Dynamics Society, vol. 34(1-2), pages 154-171, January.
    8. Oliva, Rogelio, 2003. "Model calibration as a testing strategy for system dynamics models," European Journal of Operational Research, Elsevier, vol. 151(3), pages 552-568, December.
    9. Wang, Yadong & Wang, Delu & Shi, Xunpeng, 2023. "Sustainable development pathways of China's wind power industry under uncertainties: Perspective from economic benefits and technical potential," Energy Policy, Elsevier, vol. 182(C).
    10. Bianca Cezara Archip & Ioan Banatean-Dunea & Dacinia Crina Petrescu & Ruxandra Malina Petrescu-Mag, 2023. "Determinants of Food Waste in Cluj-Napoca (Romania): A Community-Based System Dynamics Approach," IJERPH, MDPI, vol. 20(3), pages 1-22, January.
    11. Hazhir Rahmandad, 2012. "Impact of Growth Opportunities and Competition on Firm-Level Capability Development Trade-offs," Organization Science, INFORMS, vol. 23(1), pages 138-154, February.
    12. Erika Palmer, 2018. "The Heavy Cost of Care: Systemic Challenges in Norwegian Work Absenteeism," Social Sciences, MDPI, vol. 7(6), pages 1-17, June.
    13. Torres, Juan Pablo & Barrera, Jose Ignacio & Kunc, Martin & Charters, Steve, 2021. "The dynamics of wine tourism adoption in Chile," Journal of Business Research, Elsevier, vol. 127(C), pages 474-485.
    14. Poot-López, Gaspar Román & Hernández, Juan M. & Gasca-Leyva, Eucario, 2010. "Input management in integrated agriculture-aquaculture systems in Yucatan: Tree spinach leaves as a dietary supplement in tilapia culture," Agricultural Systems, Elsevier, vol. 103(2), pages 98-104, February.
    15. Sanjib Saha & Jonas Nordstrom & Ulf-G Gerdtham & Irene Mattisson & Peter M Nilsson & Peter Scarborough, 2019. "Prevention of Cardiovascular Disease and Cancer Mortality by Achieving Healthy Dietary Goals for the Swedish Population: A Macro-Simulation Modelling Study," IJERPH, MDPI, vol. 16(5), pages 1-11, March.
    16. Nazanin Hosseini Arian & Alireza Pooya & Fariborz Rahimnia & Ali Sibevei, 2021. "Assessment the effect of rapid prototyping implementation on supply chain sustainability: a system dynamics approach," Operations Management Research, Springer, vol. 14(3), pages 467-493, December.
    17. Matthew, George Jr. & Nuttall, William J & Mestel, Ben & Dooley, Laurence S, 2017. "A dynamic simulation of low-carbon policy influences on endogenous electricity demand in an isolated island system," Energy Policy, Elsevier, vol. 109(C), pages 121-131.
    18. Hawwin Mardhiana & Erma Suryani & Ully Asfari & Muhammad Nasrullah, 2021. "System Dynamic Framework: Increasing Productivity Of Sugarcane To Support Sustainable Cultivation," Sustainability in Food and Agriculture (SFNA), Zibeline International Publishing, vol. 2(2), pages 105-109, June.
    19. Guido A. Veldhuis & Hubert Korzilius, 2017. "Seeing with the Mind: The Relationship Between Spatial Ability and Inferring Dynamic Behaviour from Graphs," Systems Research and Behavioral Science, Wiley Blackwell, vol. 34(6), pages 710-727, November.
    20. Gürsu Aşιk & Zerrin Doğança Küçük, 2021. "Metacognition in action as a possible explanation for stock‐flow failure," System Dynamics Review, System Dynamics Society, vol. 37(4), pages 253-282, October.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:plo:pone00:0161405. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: plosone (email available below). General contact details of provider: https://journals.plos.org/plosone/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.