Geburtshilfe Frauenheilkd 2017; 77(05): 524-561
DOI: 10.1055/s-0037-1602337
Geburtshilfe & Fetomaternale Medizin II; Datum: Freitag, 16.06.2017, 15:30 bis 17:00 Uhr, Vorsitz: Burkhard Schauf, Philipp Reif
Georg Thieme Verlag KG Stuttgart · New York

Which factors affect neonatal outcome? Impact of time of birth, maternity units' volume and staff's experience level on the neonatal outcome of deliveries

P Reif
1   Department of Obstetrics and Gynecology, Medical University of Graz
,
G Pichler
2   Division of Neonatology. Department of Pediatrics, Medical University of Graz
,
G Lehner
1   Department of Obstetrics and Gynecology, Medical University of Graz
,
D Ulrich
1   Department of Obstetrics and Gynecology, Medical University of Graz
,
W Schöll
1   Department of Obstetrics and Gynecology, Medical University of Graz
,
U Lang
1   Department of Obstetrics and Gynecology, Medical University of Graz
› Author Affiliations
Further Information

Publication History

Publication Date:
02 June 2017 (online)

 
 

    Background:

    Evidence regarding the impact of hospital structures on neonatal outcome remains controversial. Various risk factors possibly influencing the perinatal outcome during nights and weekend were discussed previously. Reduced staff size and limited availability of services during off-hours were associated with the highest incidence in obstetric adverse events. However, this evidence is not unchallenged, since other studies report no impact of the time point of birth on perinatal outcome. The aim of this study was to evaluate the possible impact of time point of birth, delivery volume of the maternity units and educational level of the attending medical staff during delivery on adverse neonatal outcome.

    Methods:

    For this population-based observational study perinatal data from all public obstetric departments in the region of Styria between 01/01/2004 and 31/12/2015 were prospectively gathered. Intrapartum and early neonatal information was used to create a composite „adverse outcome” and a „severe adverse outcome” measure. The study population was divided into two groups with deliveries ≥34+0 weeks of gestation and < 34+0 weeks of gestation. Generalized Linear Mixed Models (GLMM) with logit link were used for statistical analysis.

    Results:

    104,452 (98.1%) neonates belonging to the group with a gestational age of ≥34+0 weeks and 1,978 (1.86%) infants of < 34+0 weeks were included in the study. In the group ≥34+0 weeks of gestation 3,466 cases (4.8%) showed adverse and 423 cases (0.6%) severe adverse neonatal outcome. Odds ratio for adverse events during off-hours is 1.1 (p = 0.023) and for severe adverse events 1.49 (p < 0.001). The maternity unit volume was only relevant for adverse outcome measures. In < 34+0 weeks of gestation group only the severe adverse outcome measure was calculated, leading to 38 (4.4%) cases of severe adverse neonatal outcome. Only gestational age turned out to be of significant impact in the preterm group (OR 0.57, p < 0.001). Detailed results of the GLMM analysis are shown in table 1.

    Conclusion:

    This study demonstrates an impact of the time of birth on the neonatal short-term outcome. There was a higher number of cases with severe adverse and with adverse outcome during off-hours compared to standard office-hours for pregnancies ≥34+0 weeks' gestation. This effect appears to be based more on the reduced personnel coverage during off-hours than on fatigue of the attending midwives and doctors, as we could not see differences between daytime-off-hours and nighttime. In contrast to prior reports we detected more cases of adverse outcome with increasing seniority of the obstetricians attending deliveries. This might be surprising at first sight, but proves that the system is working properly and staff awareness for impending, sometimes unavoidable, neonatal adverse events leads to involvement of more experienced staff members.

    Tab. 2: Factors impacting adverse and severe adverse outcome in pregnancies with a gestational age ≥34+0 weeks in the GLMM. * category excluded during GLMM analysis due to non-significance.

    adverse outcome

    severe adverse outcome

    odds ratio

    p

    odds ratio

    p

    Mode of delivery

    Spontanous delivery

    1 (ref)

    1 (ref)

    Vacuum extractor

    1.57

    < 0.001

    2.50

    < 0.001

    Sec. Caesarean section

    2.13

    < 0.001

    3.58

    < 0.001

    Breech delivery

    1.71

    0.143

    3.82

    0.064

    Forceps

    2.57

    < 0.001

    4.97

    < 0.001

    Induction/augementation of labor

    No

    1 (ref)

    1 (ref)

    Yes

    1.34

    < 0.001

    1.40

    0.003

    Fetal gender

    Male

    1 (ref)

    *

    Female

    0.79

    < 0.001

    Singleton/multiple preg.

    Singleton

    1 (ref)

    *

    Multiple

    1.64

    < 0.001

    Parity

    Primipara

    1 (ref)

    *

    Multipara

    0.86

    < 0.001

    Analgesics

    None

    1 (ref)

    1 (ref)

    i.v. analgesics

    1.12

    0.006

    1.23

    0.059

    Epidural anesthesia

    0.95

    0.436

    0.50

    < 0.001

    Time of delivery

    Standard office-hours

    1 (ref)

    1 (ref)

    Off-hours (3 p.m. – 7:30 a.m.)

    1.10

    0.023

    1.49

    0.001

    Staff attending delivery

    Resident

    1 (ref)

    1 (ref)

    Midwife

    0.68

    0.039

    0.35

    0.142

    Intern/GP

    0.84

    0.011

    0.64

    0.054

    Consultant

    1.36

    < 0.001

    1.86

    < 0.001

    Units delivery volume

    500 – 1000 deliveries/year

    1 (ref)

    *

    < 500 deliveries/year

    1.15

    0.415

    > 1000 deliveries/year

    1.10

    0.695

    Tertiary perinatal center

    1.91

    < 0.001


    #

    No conflict of interest has been declared by the author(s).