Risk adjustment models for interhospital comparison of CS rates using Robson's ten group classification system and other socio-demographic and clinical variables.
BACKGROUND
Caesarean section (CS) rate is a quality of health care indicator frequently used at national and international level. The aim of this study was to assess whether adjustment for Robson's Ten Group Classification System (TGCS), and clinical and socio-demographic variables of the mother and the fetus is necessary for inter-hospital comparisons of CS rates.


METHODS
The study population includes 64,423 deliveries in Emilia-Romagna between January 1, 2003 and December 31, 2004, classified according to theTGCS. Poisson regression was used to estimate crude and adjusted hospital relative risks of CS compared to a reference category. Analyses were carried out in the overall population and separately according to the Robson groups (groups I, II, III, IV and V-X combined). Adjusted relative risks (RR) of CS were estimated using two risk-adjustment models; the first (M1) including the TGCS group as the only adjustment factor; the second (M2) including in addition demographic and clinical confounders identified using a stepwise selection procedure. Percentage variations between crude and adjusted RRs by hospital were calculated to evaluate the confounding effect of covariates.


RESULTS
The percentage variations from crude to adjusted RR proved to be similar in M1 and M2 model. However, stratified analyses by Robson's classification groups showed that residual confounding for clinical and demographic variables was present in groups I (nulliparous, single, cephalic, ≥37 weeks, spontaneous labour) and III (multiparous, excluding previous CS, single, cephalic, ≥37 weeks, spontaneous labour) and IV (multiparous, excluding previous CS, single, cephalic, ≥37 weeks, induced or CS before labour) and to a minor extent in groups II (nulliparous, single, cephalic, ≥37 weeks, induced or CS before labour) and IV (multiparous, excluding previous CS, single, cephalic, ≥37 weeks, induced or CS before labour).


CONCLUSIONS
The TGCS classification is useful for inter-hospital comparison of CS section rates, but residual confounding is present in the TGCS strata.
Department of Epidemiology, Regional Health Service, Lazio Region, Italy. colais@asplazio.it
Paola
P
Colais
Maria P
MP
Fantini
Danilo
D
Fusco
Elisa
E
Carretta
Elisa
E
Stivanello
Jacopo
J
Lenzi
Giulia
G
Pieri
Carlo A
CA
Perucci
D000293:Adolescent; D000328:Adult; D002585:Cesarean Section / Q000706:statistics & numerical data*; D005260:Female; D006761:Hospitals / Q000706:statistics & numerical data*; D006801:Humans; D007558:Italy / Q000453:epidemiology; D007751:Labor, Induced / Q000706:statistics & numerical data; D007743:Labor, Obstetric; D015233:Models, Statistical; D007752:Obstetric Labor, Premature / Q000453:epidemiology; D010298:Parity; D011247:Pregnancy; D019984:Quality Indicators, Health Care; D012044:Regression Analysis; D012189:Retrospective Studies; D020379:Risk Adjustment / Q000706:statistics & numerical data*; D055815:Young Adult