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