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ASADUZZAMAN, Md; Chaussalet, Thierry; Adeyemi, Shola; Chahed, Salma; Hawdon, Jane; Wood, Daniel; Robertson, Nicola (2010)
Publisher: BMJ Publishing Group
Languages: English
Types: Article
Subjects: UOWSAT, G200
Objective: To study the arrival pattern and length of stay in a neonatal intensive care/high dependency unit (NICU/HDU) and special care baby unit (SCBU) and the impact of capacity shortage in a perinatal network centre. To provide an analytical model for improving capacity planning.\ud \ud Methods: The data used in this study have been collected through the South England Neonatal Database (SEND) and the North Central London Perinatal Network Transfer Audit between 1 January and 31 December 2006 for neonates admitted and refused from the neonatal unit at University College London Hospital (UCLH). Exploratory data analysis was performed. A queueing model is proposed for capacity planning of a perinatal network centre.\ud \ud Outcome measures: Predicted number of cots required with existing arrival and discharge patterns; impact of reducing length of stay.\ud \ud Results: In 2006, 1002 neonates were admitted to the neonatal unit at UCLH, 144 neonates were refused admission to the NICU and 35 to the SCBU. The model shows the NICU requires 7 more cots to accept 90% neonates at the NICU. The model also shows admission acceptance can be increased by 8% if length of stay can be reduced by 2 days.\ud \ud Conclusion: The arrival, length of stay and discharge of neonates having gestational age < 27 weeks were the key determinants of capacity. The queuing model can be used to determine the cot capacity required for a given tolerance level of admission rejection.
  • The results below are discovered through our pilot algorithms. Let us know how we are doing!

    • 1. Department of Health. Report of the neonatal intensive care services review group, 2003.
    • 2. Bliss. Special delivery or second class: are we failing special care babies in the UK? Bliss - The Premature Baby Charity, 2007.
    • 3. British Association of Perinatal Medicine (BAPM). Standards for hospitals providing neonatal intensive and high dependency care (Second Edition) and Categories of Babies Requiring Neonatal Care, 2001.
    • 4. Marlow N, Gill, AB. Establishing neonatal networks: the reality, Arch. Dis. Child. Fetal Neonatal Ed. 2007, 92:F137-42.
    • 5. Redshaw M, Hamilton K. A survey of current neonatal unit organisation and policy, Bliss - The Premature Baby Charity and National Perinatal Epidemiology Unit, University of Oxford, 2005.
    • 6. Asaduzzaman M, Chaussalet TJ, Robertson NJ. A loss network model with overflow for capacity planning in neonatal unit, Ann. Oper. Res., 2009, Published online, DOI 10.1007/s10479-009-0548-x.
    • 7. Asaduzzaman M, Chaussalet TJ. Modelling and performance measure of a perinatal network centre in the United Kingdom, In Proc. 21th IEEE Intl. Sym. Com. Based Med. Sys., 2008, 506-11.
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