IDEAS home Printed from https://ideas.repec.org/a/pal/jorsoc/v61y2010i10d10.1057_jors.2009.110.html
   My bibliography  Save this article

Impact of policy and process design on the performance of intake and treatment processes in mental health care: a system dynamics case study

Author

Listed:
  • M Smits

    (School of Economics and Business Administration, Tilburg University)

Abstract

For most of its history, medical care has been a customized process. Because customized processes might not lead to optimal performance, health-care managers are considering business process redesign, implementation of standardized (brief) therapies, stepped care, and policy changes to solve supply chain management issues. We develop a system dynamics model to support the management of intake and treatment processes in mental health care. We first model the existing situation in the care unit (Base Scenario of customized care) and simulate the impact of policy changes (assigning scarce personnel resources to different care activities) and redesign of intake and treatment processes (implementing brief therapies and stepped care). We show that shifting personnel resources between intake and treatment activities does not substantially improve performance. We found better results of process redesign and stepped care (+42% client intake rate and +18% revenues per day).

Suggested Citation

  • M Smits, 2010. "Impact of policy and process design on the performance of intake and treatment processes in mental health care: a system dynamics case study," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 61(10), pages 1437-1445, October.
    • Handle: RePEc:pal:jorsoc:v:61:y:2010:i:10:d:10.1057_jors.2009.110
    DOI: 10.1057/jors.2009.110
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1057/jors.2009.110
    File Function: Abstract
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1057/jors.2009.110?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. D C Lane & E Husemann, 2008. "System dynamics mapping of acute patient flows," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 59(2), pages 213-224, February.
    2. J P C Kleijnen & M T Smits, 2003. "Performance metrics in supply chain management," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 54(5), pages 507-514, May.
    3. Kleijnen, J.P.C. & Smits, M.T., 2003. "Performance metrics in supply chain management," Other publications TiSEM 80777aed-0c9f-4ded-b0bb-f, Tilburg University, School of Economics and Management.
    4. K Taylor & B Dangerfield, 2005. "Modelling the feedback effects of reconfiguring health services," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 56(6), pages 659-675, June.
    5. A A Tako & S Robinson, 2009. "Comparing discrete-event simulation and system dynamics: users' perceptions," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 60(3), pages 296-312, March.
    6. Kertzman, Ed & Janssen, Richard & Ruster, Marijn, 2003. "E-business in health care: does it contribute to strengthen consumer interest?," Health Policy, Elsevier, vol. 64(1), pages 63-73, April.
    7. S C Brailsford & V A Lattimer & P Tarnaras & J C Turnbull, 2004. "Emergency and on-demand health care: modelling a large complex system," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 55(1), pages 34-42, January.
    8. Brailsford, Sally & Harper, Paul, 2008. "OR in Health," European Journal of Operational Research, Elsevier, vol. 185(3), pages 901-904, March.
    9. B C Dangerfield, 1999. "System dynamics applications to European health care issues," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 50(4), pages 345-353, April.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Hosking, Michael & Roberts, Stephen & Uzsoy, Reha & Joseph, Talisa M., 2013. "Investigating interventions for increasing colorectal cancer screening: Insights from a simulation model," Socio-Economic Planning Sciences, Elsevier, vol. 47(2), pages 142-155.
    2. Federico Cosenz & Guido Noto, 2016. "Applying System Dynamics Modelling to Strategic Management: A Literature Review," Systems Research and Behavioral Science, Wiley Blackwell, vol. 33(6), pages 703-741, November.
    3. 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.
    4. Willis, Graham & Cave, Siôn & Kunc, Martin, 2018. "Strategic workforce planning in healthcare: A multi-methodology approach," European Journal of Operational Research, Elsevier, vol. 267(1), pages 250-263.

    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. 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. Morgan, Jennifer Sian & Howick, Susan & Belton, Valerie, 2017. "A toolkit of designs for mixing Discrete Event Simulation and System Dynamics," European Journal of Operational Research, Elsevier, vol. 257(3), pages 907-918.
    3. Amin Mahmoudian-Dehkordi & Somayeh Sadat, 2017. "Sustaining critical care: using evidence-based simulation to evaluate ICU management policies," Health Care Management Science, Springer, vol. 20(4), pages 532-547, December.
    4. Kleijnen, Jack P. C., 2005. "An overview of the design and analysis of simulation experiments for sensitivity analysis," European Journal of Operational Research, Elsevier, vol. 164(2), pages 287-300, July.
    5. Kull, Thomas & Closs, David, 2008. "The risk of second-tier supplier failures in serial supply chains: Implications for order policies and distributor autonomy," European Journal of Operational Research, Elsevier, vol. 186(3), pages 1158-1174, May.
    6. Ganga, Gilberto Miller Devós & Carpinetti, Luiz Cesar Ribeiro, 2011. "A fuzzy logic approach to supply chain performance management," International Journal of Production Economics, Elsevier, vol. 134(1), pages 177-187, November.
    7. H A Akkermans & K E van Oorschot, 2005. "Relevance assumed: a case study of balanced scorecard development using system dynamics," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 56(8), pages 931-941, August.
    8. Robert Engel & Worarat Krathu & Marco Zapletal & Christian Pichler & R. P. Jagadeesh Chandra Bose & Wil Aalst & Hannes Werthner & Christian Huemer, 2016. "Analyzing inter-organizational business processes," Information Systems and e-Business Management, Springer, vol. 14(3), pages 577-612, August.
    9. Jack P. C. Kleijnen & Susan M. Sanchez & Thomas W. Lucas & Thomas M. Cioppa, 2005. "State-of-the-Art Review: A User’s Guide to the Brave New World of Designing Simulation Experiments," INFORMS Journal on Computing, INFORMS, vol. 17(3), pages 263-289, August.
    10. Ciancimino, Elena & Cannella, Salvatore & Canca Ortiz, José David & Framiñán Torres, José Manuel, 2009. "Análisis multinivel de cadenas de suministros: dos técnicas de resolución del efecto bullwhip // Supply Chain Multi-level Analysis: Two Bullwhip Dampening Approaches," Revista de Métodos Cuantitativos para la Economía y la Empresa = Journal of Quantitative Methods for Economics and Business Administration, Universidad Pablo de Olavide, Department of Quantitative Methods for Economics and Business Administration, vol. 8(1), pages 7-28, December.
    11. Kleijnen, Jack P.C. & Mehdad, Ehsan, 2014. "Multivariate versus univariate Kriging metamodels for multi-response simulation models," European Journal of Operational Research, Elsevier, vol. 236(2), pages 573-582.
    12. Berle, Øyvind & Asbjørnslett, Bjørn Egil & Rice, James B., 2011. "Formal Vulnerability Assessment of a maritime transportation system," Reliability Engineering and System Safety, Elsevier, vol. 96(6), pages 696-705.
    13. Hatem Elleuch & Wafik Hachicha & Habib Chabchoub, 2014. "A combined approach for supply chain risk management: description and application to a real hospital pharmaceutical case study," Journal of Risk Research, Taylor & Francis Journals, vol. 17(5), pages 641-663, May.
    14. Zhang, Xiunian & Lam, Jasmine Siu Lee, 2018. "Shipping mode choice in cold chain from a value-based management perspective," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 110(C), pages 147-167.
    15. S Vanderby & M W Carter, 2010. "An evaluation of the applicability of system dynamics to patient flow modelling," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 61(11), pages 1572-1581, November.
    16. Inês de Abreu Ferreira & Manuel de Castro Fraga & Radu Godina & Marta Souto Barreiros & Helena Carvalho, 2019. "A Proposed Index of the Implementation and Maturity of Circular Economy Practices—The Case of the Pulp and Paper Industries of Portugal and Spain," Sustainability, MDPI, vol. 11(6), pages 1-18, March.
    17. Alexandru Constăngioară, 2013. "Performance Metrics in Supply Chain Management. Evidence from Romanian Economy," The AMFITEATRU ECONOMIC journal, Academy of Economic Studies - Bucharest, Romania, vol. 15(33), pages 170-179, February.
    18. Margolis, Joshua T. & Sullivan, Kelly M. & Mason, Scott J. & Magagnotti, Mariah, 2018. "A multi-objective optimization model for designing resilient supply chain networks," International Journal of Production Economics, Elsevier, vol. 204(C), pages 174-185.
    19. Hosking, Michael & Roberts, Stephen & Uzsoy, Reha & Joseph, Talisa M., 2013. "Investigating interventions for increasing colorectal cancer screening: Insights from a simulation model," Socio-Economic Planning Sciences, Elsevier, vol. 47(2), pages 142-155.
    20. Federico Cosenz & Guido Noto, 2016. "Applying System Dynamics Modelling to Strategic Management: A Literature Review," Systems Research and Behavioral Science, Wiley Blackwell, vol. 33(6), pages 703-741, November.

    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:pal:jorsoc:v:61:y:2010:i:10:d:10.1057_jors.2009.110. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.palgrave-journals.com/ .

    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.