Elina Karalis1, Mika Gissler2, Anna-Maija Tapper3, Veli-Matti Ulander4. 1. University of Helsinki, Helsinki University Hospital, Department of Obstetrics and Gynecology, Helsinki, Finland. 2. THL, National Institute for Health and Welfare, Helsinki, Finland; NHV, Nordic School of Public Health, Gothenburg, Sweden. 3. University of Helsinki, Helsinki University Hospital, Department of Obstetrics and Gynecology, Helsinki, Finland; University of Helsinki, Hyvinkaa Hospital Area, Helsinki and Uusimaa Hospital District, Finland. 4. University of Helsinki, Helsinki University Hospital, Department of Obstetrics and Gynecology, Helsinki, Finland. Electronic address: Veli-Matti.Ulander@hus.fi.
Abstract
OBJECTIVE: To evaluate the influence of delivery unit size and on-call staffing in the performance of low-risk deliveries in Finland. STUDY DESIGN: A population-based study of hospital size and level based on Medical Birth Register data. Population was all hospital births in Finland in 2005-2009. Inclusion criteria were singleton births (birth weight 2500g or more) without major congenital anomalies or birth defects. Additionally, only intrapartum stillbirths were included. Birthweights and maternal background characteristics were adjusted for by logistic regression. Main outcome measures were intrapartum or early neonatal mortality, neonatal asphyxia and newborns' need for intensive care or transfer to other hospital and longer duration of care. On-call arrangements were asked from each of the hospitals. RESULTS: Intrapartum mortality was higher in units where physicians were at home when on-call (OR 1.25; 95% CI 1.02-1.52). A tendency to a higher mortality was also recorded in non-university hospitals (OR 1.18; 95% CI 0.99-1.40). Early neonatal mortality was twofold in units with less than 1000 births annually (OR 2.11; 95% CI 0.97-4.56) and in units where physicians were at home when on-call (OR 1.85; 95% CI 0.91-3.76). These results did not reach statistical significance. No differences between the units were found regarding Apgar scores or umbilical cord pH. CONCLUSION: The differences in mortality rates between different level hospitals suggest that adverse outcomes during delivery should be studied in detail in relation to hospital characteristics, such as size or level, and more international studies determining obstetric patient safety indicators are required.
OBJECTIVE: To evaluate the influence of delivery unit size and on-call staffing in the performance of low-risk deliveries in Finland. STUDY DESIGN: A population-based study of hospital size and level based on Medical Birth Register data. Population was all hospital births in Finland in 2005-2009. Inclusion criteria were singleton births (birth weight 2500g or more) without major congenital anomalies or birth defects. Additionally, only intrapartum stillbirths were included. Birthweights and maternal background characteristics were adjusted for by logistic regression. Main outcome measures were intrapartum or early neonatal mortality, neonatal asphyxia and newborns' need for intensive care or transfer to other hospital and longer duration of care. On-call arrangements were asked from each of the hospitals. RESULTS: Intrapartum mortality was higher in units where physicians were at home when on-call (OR 1.25; 95% CI 1.02-1.52). A tendency to a higher mortality was also recorded in non-university hospitals (OR 1.18; 95% CI 0.99-1.40). Early neonatal mortality was twofold in units with less than 1000 births annually (OR 2.11; 95% CI 0.97-4.56) and in units where physicians were at home when on-call (OR 1.85; 95% CI 0.91-3.76). These results did not reach statistical significance. No differences between the units were found regarding Apgar scores or umbilical cord pH. CONCLUSION: The differences in mortality rates between different level hospitals suggest that adverse outcomes during delivery should be studied in detail in relation to hospital characteristics, such as size or level, and more international studies determining obstetric patient safety indicators are required.
Authors: Isabell K Rumrich; Kirsi Vähäkangas; Matti Viluksela; Mika Gissler; Heljä-Marja Surcel; Hanna de Ruyter; Jukka Jokinen; Otto Hänninen Journal: BMC Public Health Date: 2017-11-07 Impact factor: 3.295