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

Shola Adeyemi1, Eren Demir2

  • 1Statsxperts Consulting Ltd, Haverhill, UK.

Insights

One in seven UK babies need neonatal care, straining services. This study reveals a strong link between a baby's care pathway and their total length of stay (LoS), highlighting the need for improved discharge policies.

Area of Science:

  • Neonatal care
  • Health services research
  • Statistical modeling

Background:

  • Increasing demand for neonatal care in the UK strains resources.
  • Budgetary constraints and lack of investment impact neonatal unit performance.
  • Existing models do not jointly analyze length of stay (LoS) and patient pathways.

Purpose of the Study:

  • To examine the association between neonatal care pathways and length of stay (LoS).
  • To develop a novel statistical approach for analyzing longitudinal outcomes in neonatal care.
  • To inform discharge policies and improve neonatal service performance.

Main Methods:

  • Utilized generalized linear mixed modeling, extended for multiple outcomes.
  • Analyzed data from 1002 neonates to investigate the relationship between care pathways and LoS.
  • Developed a novel statistical approach to assess evolving associations over time.

Main Results:

  • Identified a high positive association between a neonate's pathway and total LoS.
  • Demonstrated the utility of a joint analysis of LoS and care pathways.
  • The developed statistical approach can be applied to other long-term care scenarios.

Conclusions:

  • Neonatal care pathways significantly influence total length of stay.
  • Discharge policies require careful review to optimize LoS and resource utilization.
  • The novel statistical methodology offers broader applications in chronic disease management.

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