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Hospital differences in rates of cesarean deliveries in the Sardinian region: An observational study

机译:撒丁岛地区剖宫产率的医院差异:一项观察性研究

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Background: The rates of cesarean deliveries have been increasing steadily in several European countries in recent decades, with Italy having the second-highest rate (38% in 2010), causing concern and debate about the appropriateness of many interventions. Moreover, some recent studies suggest that rates of common obstetric interventions are not homogeneous across hospitals, maybe not only because of patient case mix but also possibly because of different hospital practices and cultures. Thus, it is important to investigate whether the variation in rates of cesarean sections can be traced back to patient characteristics or whether it depends upon context variables at the hospital level. Objective and method: Using official hospital abstracts on deliveries that occurred in Sardinia over a two-year period, we implement multilevel logistic regression models in order to assess whether the observed differences in cesarean rates across hospitals can be justified by case-mix differences across hospitals. Results: The between-hospital variation in rates of cesarean delivery is estimated to be 0.388 in the model with only the intercept and 0.382 in the model controlling for the mother’s clinical and sociodemographic characteristics. Conclusions: The results show that taking into account the individual characteristics of delivered mothers is not enough to justify the observed variation across hospital rates, suggesting the important role of unobserved variables at the hospital level in determining cesarean section rates.
机译:背景:近几十年来,剖腹产在几个欧洲国家一直在稳定增长,其中意大利的剖宫产率第二高(2010年为38%),引起人们对许多干预措施是否适当的关注和争论。此外,最近的一些研究表明,各医院的普通产科干预率并不相同,这不仅可能是由于患者的病例混合,还可能是由于医院的实践和文化不同。因此,重要的是要调查剖宫产率的变化是否可以追溯到患者特征,或者是否取决于医院水平的环境变量。目的和方法:使用官方医院的两年来在撒丁岛发生的分娩摘要,我们实施多级Logistic回归模型,以评估观察到的各医院剖宫产率的差异是否可以通过各医院之间的病例混合差异来证明。 。结果:剖宫产分娩率在医院中的变化估计为0.388(只有截距),而模型中则为0.382(控制母亲的临床和社会人口统计学特征)。结论:结果表明,考虑到分娩母亲的个人特征不足以证明观察到的住院率差异,这说明在医院水平上未观察到的变量在确定剖宫产率中的重要作用。

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