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Duration and Time Trends in Hospital Stay for Very Preterm Infants Differ Across European Regions
Rolf F Maier1, Béatrice Blondel2, Aurélie Piedvache2
1Children's Hospital, University Hospital, Philipps University Marburg, Marburg, Germany.
Insights
Hospital stays for very preterm infants did not shorten over time. Significant regional variations in length of stay persist across Europe, impacting infant outcomes and costs.
Area of Science:
- Neonatalogy
- Public Health
- Health Services Research
Background:
- Length of hospital stay for very preterm infants varies significantly across European regions.
- Understanding temporal trends and regional disparities in neonatal intensive care is crucial for optimizing resource allocation and patient outcomes.
Purpose of the Study:
- To compare the duration and changes over time in length of hospital stay for very preterm and extremely preterm infants across 10 European regions.
- To identify factors influencing length of stay and regional variations.
Main Methods:
- Utilized data from two large European cohort studies (2003 and 2011/2012) including infants born between 22 and 31 weeks of gestation.
- Employed negative binomial regression to adjust length of stay for case-mix, considering maternal and infant characteristics.
Main Results:
- Mean length of stay remained consistent around 63 days between 2003 and 2011/2012, with persistent wide regional variations after case-mix adjustment.
- Factors such as low gestational age, small for gestational age, low Apgar scores, surfactant use, surgery, and severe morbidities were associated with longer hospital stays.
- Significant regional disparities in adjusted length of stay were observed, ranging from under 54 days to over 67 days in 2011/2012.
Conclusions:
- No systematic decrease in length of stay for very preterm infants was observed over time after adjusting for patient case-mix.
- Wide variations in length of stay across European regions suggest differences in discharge criteria and care practices.
- Further research into these practices is needed to inform policies for optimizing infant outcomes and healthcare costs.
Objectives:
To compare duration and changes over time in length of hospital stay for very preterm and extremely preterm infants in 10 European regions.
Design:
Two area-based cohort studies from the same regions in 2003 and 2011/2012.
Setting:
Ten regions from nine European countries.
Patients:
Infants born between 22 + 0 and 31 + 6 weeks of gestational age and surviving to discharge (Models of Organising Access to Intensive Care for Very Preterm Births cohort in 2003, n = 4,011 and Effective Perinatal Intensive Care in Europe cohort in 2011/2012, n = 4,336).
Interventions:
Observational study, no intervention.
Measurements And Main Results:
Maternal and infant characteristics were abstracted from medical records using a common protocol and length of stay until discharge was adjusted for case-mix using negative binomial regression. Mean length of stay was 63.6 days in 2003 and varied from 52.4 to 76.5 days across regions. In 2011/2012, mean length of stay was 63.1 days, with a narrower regional range (54.0-70.1). Low gestational age, small for gestational age, low 5-minute Apgar score, surfactant administration, any surgery, and severe neonatal morbidities increased length of stay. Infant characteristics explained some of the differences between regions and over time, but large variations remained after adjustment. In 2011/2012, mean adjusted length of stay ranged from less than 54 days in the Northern region of the United Kingdom and Wielkopolska, Poland to over 67 days in the Ile-de-France region of France and the Eastern region of the Netherlands. No systematic decrease in very preterm length of stay was observed over time after adjustment for patient case-mix.
Conclusions:
A better understanding of the discharge criteria and care practices that contribute to the wide differences in very preterm length of stay across European regions could inform policies to optimize discharge decisions in terms of infant outcomes and health system costs.
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