title: Rising rates of obstetric interventions: exploring the determinants of induction of labour.
abstract: BACKGROUND
  Rising rates of obstetric interventions in the UK are a concern for health-care providers and the public. Our aims were to identify the socio-demographic and clinical factors (case mix) predictive of one of the most common obstetric interventions, induction of labour (IOL), and quantify the extent to which observed rates can be explained by case mix factors.
  
  
  METHODS
  We conducted a comparative analysis of induced and spontaneous labours, using contemporary clinical data from the Aberdeen Maternity and Neonatal Databank. Cases complicated by antenatal intrauterine death or a previous or planned caesarean section were excluded. In total, 17,736 cases were included in the analysis.
  
  
  RESULTS
  In 5727 (32.3%) cases labour was induced and in 12,009 (67.7%) cases it was spontaneous. Multivariate logistic regression modelling was used. In total, 18 case mix factors were predictive of IOL. Among these were well-recognized clinical indications for IOL such as pre-labour rupture of membranes (OR 3.29, 95% CI 2.90, 3.73) and prolonged pregnancy (OR 4.15, 95% CI 3.82, 4.50) and previously unreported case mix factors (residing an intermediate distance and travel time from hospital) (OR 1.27, 95% CI 1.18, 1.37; BMI >35 OR 1.37, 95% CI 1.14, 1.65). Case mix explained 71.5% of the observed rate of IOL.
  
  
  CONCLUSIONS
  More than one-quarter of the rate of IOL remains unexplained by case mix factors. This may be explained by women's preferences for care and clinicians' practice.
authors.affiliation: Department of Obstetrics and Gynaecology, Dugald Baird Centre for Research on Women's Health, University of Aberdeen, Aberdeen, UK. t.humphrey@abdn.ac.uk
authors.forename: T
authors.initials: T
authors.lastname: Humphrey
authors.forename: J S
authors.initials: JS
authors.lastname: Tucker
mesh_terms: D000328:Adult; D019992:Databases as Topic; D005260:Female; D006771:Hospitals, Maternity; D006801:Humans; D007751:Labor, Induced / Q000639:trends*; D016015:Logistic Models; D009775:Obstetrics and Gynecology Department, Hospital / Q000706:statistics & numerical data*; D011247:Pregnancy; D011634:Public Health; D012606:Scotland; D013222:State Medicine; D055815:Young Adult