A1 Refereed original research article in a scientific journal
Determining obstetric patient safety indicators: the differences in neonatal outcome measures between different-sized delivery units
Authors: Pyykönen A, Gissler M, Jakobsson M, Petäjä J, Tapper A-M
Publication year: 2014
Journal: BJOG: An International Journal of Obstetrics and Gynaecology
Volume: 121
Issue: 4
First page : 430
Last page: 437
Number of pages: 8
ISSN: 1470-0328
DOI: https://doi.org/10.1111/1471-0528.12507
Objective
To study the differences in neonatal outcome and treatment measures in Finnish obstetric units.
Design
A registry study with Medical Birth Register data.
Setting and population
All births (n = 2 94 726) in Finland from 2006 to 2010 with a focus on term, singleton non-university deliveries.
Methods
All 34 delivery units were grouped into small (below 1000), mid-sized (1000–2999) and large (3000 or more) units, and the adverse outcome rates in neonates were compared using logistic regression.
Main outcome measures
Early neonatal deaths, stillbirths, Apgar scores, arterial cord pH, Erb's paralysis, respirator treatment, the proportion of post-term deliveries (gestational age beyond 42 weeks) and the proportion of newborns still hospitalised 7 days after delivery.
Results
From an analysis of term, singleton non-university deliveries, the early neonatal mortality was significantly higher in the small relative to the mid-sized delivery units [odds ratio (OR), 2.07; 95% confidence interval (CI), 1.19–3.60]. The rate of Erb's paralysis was lowest in the large units (OR, 0.65; 95% CI, 0.50–0.84). The use of a respirator was more than two-fold more common in large relative to mid-sized units (OR, 2.38; 95% CI, 2.00–2.83). The proportion of post-term deliveries was highest in the large units (OR, 1.36; 95% CI, 1.31–1.42), where a significantly higher percentage of post-term newborns were still hospitalised after 7 days (OR, 1.50; 95% CI, 1.19–1.89).
Conclusions
There are significant differences in several neonatal indicators dependent on the hospital size. An international consensus is needed on which indicators should be used.