IDEAS home Printed from https://ideas.repec.org/a/bla/ijhplm/v35y2020i3p704-717.html
   My bibliography  Save this article

Modelling the neonatal system: A joint analysis of length of stay and patient pathways

Author

Listed:
  • Shola Adeyemi
  • Eren Demir

Abstract

In the United Kingdom, one in seven babies require specialist neonatal care after birth, with a noticeable increase in demand. Coupled with budgeting constraints and lack of investment means that neonatal units are struggling. This will inevitably have an impact on baby's length of stay (LoS) and the performance of the service. Models have previously been developed to capture individual babies' pathways to investigate the longitudinal cycle of care. However, no models have been developed to examine the joint analysis of LoS and babies' pathways. LoS at each stage of care is a critical driver of both the clinical outcomes and economic performance of the neonatal system. Using the generalized linear mixed modelling approach, extended to accommodate multiple outcomes, the association between neonate's pathway to discharge and LoS is examined. Using the data about 1002 neonates, we noticed that there is a high positive association between baby's pathway and total LoS, suggesting that discharge policies needs to be looked at more carefully. A novel statistical approach that examined the association of key outcomes and how it evolved over time is developed. Its applicability can be extended to other types of long‐term care or diseases, such as heart failure and stroke.

Suggested Citation

  • Shola Adeyemi & Eren Demir, 2020. "Modelling the neonatal system: A joint analysis of length of stay and patient pathways," International Journal of Health Planning and Management, Wiley Blackwell, vol. 35(3), pages 704-717, May.
    • Handle: RePEc:bla:ijhplm:v:35:y:2020:i:3:p:704-717
    DOI: 10.1002/hpm.2928
    as

    Download full text from publisher

    File URL: https://doi.org/10.1002/hpm.2928
    Download Restriction: no
    File URL: https://libkey.io/10.1002/hpm.2928?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. Shola Adeyemi & Thierry Chaussalet & Eren Demir, 2011. "Nonproportional random effects modelling of a neonatal unit operational patient pathways," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 20(4), pages 507-518, November.
    2. Shola Adeyemi & Thierry Chaussalet & Haifeng Xie & Md Asaduzaman, 2010. "Random effects models for operational patient pathways," Journal of Applied Statistics, Taylor & Francis Journals, vol. 37(4), pages 691-701.
    3. 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.
    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. 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.
    2. Jie Bai & Andreas Fügener & Jan Schoenfelder & Jens O. Brunner, 2018. "Operations research in intensive care unit management: a literature review," Health Care Management Science, Springer, vol. 21(1), pages 1-24, March.
    3. Debora Sarno & Maria Elena Nenni, 2016. "Daily nurse requirements planning based on simulation of patient flows," Flexible Services and Manufacturing Journal, Springer, vol. 28(3), pages 526-549, September.
    4. Shola Adeyemi & Thierry Chaussalet & Eren Demir, 2011. "Nonproportional random effects modelling of a neonatal unit operational patient pathways," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 20(4), pages 507-518, November.
    5. Josephine Varney & Nigel Bean & Mark Mackay, 2019. "The self-regulating nature of occupancy in ICUs: stochastic homoeostasis," Health Care Management Science, Springer, vol. 22(4), pages 615-634, December.
    6. 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.
    7. 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).
    8. 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.

    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:35:y:2020:i:3:p:704-717. 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.