Objective  To explore the attitudes of obstetricians to performe a caesarean section on maternal request in the absence of medical indication.Design  Cluster sampling cross‐sectional survey.Setting  Neonatal Intensive Care Unit (NICU) associated maternity units in eight European countries.Population  Obstetricians with at least 6 months clinical experience.Methods  NICU‐associated maternity units were chosen by census in Luxembourg, Netherlands and Sweden and by geographically stratified random sampling in France, Germany, Italy, Spain and UK. An anonymous, self‐administered questionnaire was used for data collection.Main outcome measures  Obstetricians’ willingness to perform a caesarean section on maternal request.Results  One hundred and five units and 1530 obstetricians participated in the study (response rates of 70 and 77%, respectively). Compliance with a hypothetical woman’s request for elective caesarean section simply because it was ‘her choice’ was lowest in Spain (15%), France (19%) and Netherlands (22%); highest in Germany (75%) and UK (79%) and intermediate in the remaining countries. Using weighted multivariate logistic regression, country of practice (P < 0.001), fear of litigation (P= 0.004) and working in a university‐affiliated hospital (P= 0.001) were associated with physicians’ likelihood to agree to patient’s request. The subset of female doctors with children was less likely to agree (OR 0.29, 95% CI 0.20–0.42).Conclusions  The differences in obstetricians’ attitudes are not founded on concrete medical evidence. Cultural factors, legal liability and variables linked to the specific perinatal care organisation of the various countries play a role. Greater emphasis should be placed on understanding the motivation, values and fears underlying a woman’s request for elective caesarean delivery.

The importance of Small Area Variation Analysis for policy-making contrasts with the scarcity of work on the validity of the statistics used in these studies. Our study aims at 1) determining whether variation in utilization rates between health areas is higher than would be expected by chance, 2) estimating the statistical power of the variation statistics; and 3) evaluating the ability of different statistics to compare the variability among different procedures regardless of their rates.

To identify adherence patterns over time and their predictors for evidence-based medications used after hospitalization for coronary heart disease (CHD). We built a population-based retrospective cohort of all patients discharged after hospitalization for CHD from public hospitals in the Valencia region (Spain) during 2008 (n = 7462). From this initial cohort, we created 4 subcohorts with at least one prescription (filled or not) from each therapeutic group (antiplatelet, beta-blockers, ACEI/ARB, statins) within the first 3 months after discharge. Monthly adherence was defined as having ≥24 days covered out of 30, leading to a repeated binary outcome measure. We assessed the membership to trajectory groups of adherence using group-based trajectory models. We also analyzed predictors of the different adherence patterns using multinomial logistic regression. We identified a maximum of 5 different adherence patterns: 1) Nearly-always adherent patients; 2) An early gap in adherence with a later recovery; 3) Brief gaps in medication use or occasional users; 4) A slow decline in adherence; and 5) A fast decline. These patterns represented variable proportions of patients, the descending trajectories being more frequent for the beta-blocker and ACEI/ARB cohorts (16% and 17%, respectively) than the antiplatelet and statin cohorts (10% and 8%, respectively). Predictors of poor or intermediate adherence patterns were having a main diagnosis of unstable angina or other forms of CHD vs. AMI in the index hospitalization, being born outside Spain, requiring copayment or being older. Distinct adherence patterns over time and their predictors were identified. This may be a useful approach for targeting improvement interventions in patients with poor adherence patterns.