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A modelling approach to studying variations in newborn life support procedure

Author

Listed:
  • Alfian Tan
  • Rasa Remenyte-Prescott
  • Michel Valstar
  • Don Sharkey

Abstract

Variations in clinical practice are common. However, some variations may cause undesired consequences. Careful consideration of their causes and effects is necessary to assure the quality of healthcare delivery. A modelling approach that could capture these aspects would help to achieve this goal. In this paper, a Newborn Life Support procedure is modelled. This activity is considered prone to error with reduced outcomes for the patient. Hence, it is necessary to understand the nature of the activity and its variations. A Coloured Petri Net (CPN) approach and a simulation technique are used for this purpose. The CPN colours are used to represent the characteristics of babies and to control the flow of tokens representing the resuscitation procedure. Probabilistic modelling aspects include the duration of individual tasks, the choice of treatment and the condition of the baby. The model outputs consist of the percentage of babies with an unsatisfactory outcome, the percentage of babies who need full resuscitation, and the duration of the procedure until a satisfactory condition is achieved. The modelling approach is demonstrated using a number of scenarios on some common NLS variations, relating to the maximum number of ventilation and the probability of errors in the inflation procedure.

Suggested Citation

  • Alfian Tan & Rasa Remenyte-Prescott & Michel Valstar & Don Sharkey, 2024. "A modelling approach to studying variations in newborn life support procedure," Journal of Risk and Reliability, , vol. 238(4), pages 777-796, August.
    • Handle: RePEc:sae:risrel:v:238:y:2024:i:4:p:777-796
    DOI: 10.1177/1748006X231173595
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    References listed on IDEAS

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    1. Naybour, Matthew & Remenyte-Prescott, Rasa & Boyd, Matthew J., 2019. "Reliability and efficiency evaluation of a community pharmacy dispensing process using a coloured Petri-net approach," Reliability Engineering and System Safety, Elsevier, vol. 182(C), pages 258-268.
    2. Brailsford, S.C. & Harper, P.R. & Sykes, J., 2012. "Incorporating human behaviour in simulation models of screening for breast cancer," European Journal of Operational Research, Elsevier, vol. 219(3), pages 491-507.
    3. D. C. Evenden & S. C. Brailsford & C. M. Kipps & P. J. Roderick & B. Walsh, 2021. "Hybrid simulation modelling for dementia care services planning," Journal of the Operational Research Society, Taylor & Francis Journals, vol. 72(9), pages 2147-2159, September.
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