[Cesarean sections in France: impact of organizational factors on different utilization rates].
In this study, we analysed the potential impact of organizational factors to explain the variation of cesarean sections' rates. We used a retrospective sample of 84,372 deliveries and two subsamples of low risk deliveries for cesarean sections. We determined different organisational factors that included: juridical and financial status of maternities, their architecture, the type of on-call for obstetricians, pediatrists and anesthetists, the annual number of deliveries and the level of pediatric staff and equipments of the maternities. We used multiple regression techniques to study the specific effect of each parameter, while controlling effects of age and parity of the mothers. We have found that even on the low risk samples, variation of rates were important. The type of on-call, the level of pediatric services and the architecture of maternities exerted a strong and significant effect on the rate of cesarean sections compared to the absence of impact of the number of deliveries. We discuss the reasons why, explaining the occurrence of those factors and then, stress the need to take into account the relevant factors for organizational audits. It appears that, in the context of the new regulation of the health system, these results should give obstetricians reasons to enhance their efforts to correct inefficient practices and to respect consensual guidelines and joint accreditation of obstetric and pediatric units.
Naiditch
M
M
MCU Paris VII, Groupe IMAGE-ENSP, Hôpital National de Saint-Maurice, Saint-Maurice.
Levy
G
G
Chalé
J J
JJ
Cohen
H
H
Colladon
B
B
Maria
B
B
Nisand
I
I
Papiernik
E
E
Souteyrand
P
P
D000328:Adult; D002585:Cesarean Section / Q000706:statistics & numerical data*; D003430:Cross-Sectional Studies; D005260:Female; D005602:France / Q000453:epidemiology; D006801:Humans; D015994:Incidence; D007231:Infant, Newborn; D008427:Maternal Health Services / Q000458:organization & administration* / Q000706:statistics & numerical data; D010348:Patient Care Team / Q000458:organization & administration* / Q000706:statistics & numerical data; D011247:Pregnancy; D011785:Quality Assurance, Health Care / Q000706:statistics & numerical data*; D012044:Regression Analysis; D012127:Respiratory Distress Syndrome, Newborn / Q000453:epidemiology; D012307:Risk Factors