IDEAS home Printed from https://ideas.repec.org/a/bla/ijhplm/v36y2021i3p793-812.html
   My bibliography  Save this article

Resources management impact on neonatal services performance in the United Kingdom: A system dynamics modelling approach

Author

Listed:
  • Reda Lebcir
  • Rifat Atun

Abstract

Demand for neonatal care in the United Kingdom (UK) has increased in recent years. This care is provided by neonatal services, which are chronically saturated due to years of budget austerity in the UK. The aim of this paper is to investigate the possible impact of increasing resources to these services to improve their operational performance and alleviate the pressure they are facing. To achieve this aim, a system dynamics (SD) simulation model was built and validated in a UK neonatal unit. The SD model was used initially to evaluate the impact of increasing resources on the unit performance and the results showed that this policy will have a limited effect on performance. The model was then extended to predict the effect of reducing the length of stay (LoS) in conjunction with increasing resources. These joint interventions will have a positive impact on the unit performance if LoS is reduced for all care categories and resources are slightly increased. Results' implications and SD's modelling usefulness to guide decision making in complex health settings are discussed.

Suggested Citation

  • 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.
  • Handle: RePEc:bla:ijhplm:v:36:y:2021:i:3:p:793-812
    DOI: 10.1002/hpm.3118
    as

    Download full text from publisher

    File URL: https://doi.org/10.1002/hpm.3118
    Download Restriction: no

    File URL: https://libkey.io/10.1002/hpm.3118?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. Atun, Rifat A. & Lebcir, Reda M. & McKee, Martin & Habicht, Jarno & Coker, Richard J., 2007. "Impact of joined-up HIV harm reduction and multidrug resistant tuberculosis control programmes in Estonia: System dynamics simulation model," Health Policy, Elsevier, vol. 81(2-3), pages 207-217, May.
    2. Hummy Song & Anita L. Tucker & Ryan Graue & Sarah Moravick & Julius J. Yang, 2020. "Capacity Pooling in Hospitals: The Hidden Consequences of Off-Service Placement," Management Science, INFORMS, vol. 66(9), pages 3825-3842, September.
    3. Nesbitt, T.S. & Larson, E.H. & Rosenblatt, R.A. & Hart, L.G., 1997. "Access to maternity care in rural Washington: Its effect on neonatal outcomes and resource use," American Journal of Public Health, American Public Health Association, vol. 87(1), pages 85-90.
    4. Thompson, James P. & Howick, Susan & Belton, Valerie, 2016. "Critical Learning Incidents in system dynamics modelling engagements," European Journal of Operational Research, Elsevier, vol. 249(3), pages 945-958.
    5. 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.
    6. 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.
    7. Linda V. Green, 2012. "OM Forum--The Vital Role of Operations Analysis in Improving Healthcare Delivery," Manufacturing & Service Operations Management, INFORMS, vol. 14(4), pages 488-494, October.
    8. Md Asaduzzaman & Thierry J. Chaussalet, 2011. "An overflow loss network model for capacity planning of a perinatal network," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 174(2), pages 403-417, April.
    9. 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.
    10. 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.
    11. 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.
    12. Eren Demir & Reda Lebcir & Shola Adeyemi, 2014. "Modelling length of stay and patient flows: methodological case studies from the UK neonatal care services," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 65(4), pages 532-545, April.
    13. K Katsaliaki & N Mustafee, 2011. "Applications of simulation within the healthcare context," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 62(8), pages 1431-1451, August.
    14. M S Rauner & S C Brailsford & S Flessa, 2005. "Use of discrete-event simulation to evaluate strategies for the prevention of mother-to-child transmission of HIV in developing countries," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 56(2), pages 222-233, February.
    15. 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)

    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. Mohammad Reza Davahli & Waldemar Karwowski & Redha Taiar, 2020. "A System Dynamics Simulation Applied to Healthcare: A Systematic Review," IJERPH, MDPI, vol. 17(16), pages 1-27, August.
    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. R M Lebcir & R A Atun & R J Coker, 2010. "System Dynamic simulation of treatment policies to address colliding epidemics of tuberculosis, drug resistant tuberculosis and injecting drug users driven HIV in Russia," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 61(8), pages 1238-1248, August.
    5. Bożena Mielczarek, 2016. "Review of modelling approaches for healthcare simulation," Operations Research and Decisions, Wroclaw University of Science and Technology, Faculty of Management, vol. 26(1), pages 55-72.
    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. Yuta Kanai & Hideaki Takagi, 2021. "Markov chain analysis for the neonatal inpatient flow in a hospital," Health Care Management Science, Springer, vol. 24(1), pages 92-116, March.
    8. David C. Lane & Jim Duggan, 2020. "Addressing public health and security challenges with system dynamics," Systems Research and Behavioral Science, Wiley Blackwell, vol. 37(6), pages 867-874, November.
    9. Orkun İrsoy & Şanser Güz & Naz Beril Akan & Gönenç Yücel, 2020. "Dynamic trade‐offs in granulocyte colony‐stimulating factor (G‐CSF) administration during chemotherapy," System Dynamics Review, System Dynamics Society, vol. 36(4), pages 397-446, October.
    10. 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.
    11. 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.
    12. Jian-Jun Wang & Zongli Dai & Ai-Chih Chang & Jim Junmin Shi, 2022. "Surgical scheduling by Fuzzy model considering inpatient beds shortage under uncertain surgery durations," Annals of Operations Research, Springer, vol. 315(1), pages 463-505, August.
    13. Anaely Aguiar, 2020. "The role of systematic reviews in the system dynamics modelling process," Systems Research and Behavioral Science, Wiley Blackwell, vol. 37(6), pages 892-895, November.
    14. Alberto Sardi & Enrico Sorano, 2019. "Dynamic Performance Management: An Approach for Managing the Common Goods," Sustainability, MDPI, vol. 11(22), pages 1-22, November.
    15. Md Mahfuzur Rahman & Rubayet Karim & Md. Moniruzzaman & Md. Afjal Hossain & Hammad Younes, 2023. "Modeling Hospital Operating Theater Services: A System Dynamics Approach," Logistics, MDPI, vol. 7(4), pages 1-21, November.
    16. Khairulbahri, Muhamad, 2021. "Lessons learned from three Southeast Asian countries during the COVID-19 pandemic," Journal of Policy Modeling, Elsevier, vol. 43(6), pages 1354-1364.
    17. Kim E. Van Oorschot & Luk N. Van Wassenhove & Marianne Jahre, 2023. "Collaboration–competition dilemma in flattening the COVID‐19 curve," Production and Operations Management, Production and Operations Management Society, vol. 32(5), pages 1345-1361, May.
    18. Chih‐Tung Hsiao & Chun‐Cheng Chen & Lee‐Kai Lin & Chung‐Shu Liu, 2023. "A systems view of responding to the COVID‐19 pandemic: A causal loop model for Taiwan's approach," Systems Research and Behavioral Science, Wiley Blackwell, vol. 40(1), pages 194-206, January.
    19. 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.
    20. Azcarate, Cristina & Esparza, Laida & Mallor, Fermin, 2020. "The problem of the last bed: Contextualization and a new simulation framework for analyzing physician decisions," Omega, Elsevier, vol. 96(C).

    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:bla:ijhplm:v:36:y:2021:i:3:p:793-812. 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: Wiley Content Delivery (email available below). General contact details of provider: http://www.blackwellpublishing.com/journal.asp?ref=0749-6753 .

    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.