2018
DOI: 10.1002/14651858.cd005528.pub3
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Non-clinical interventions for reducing unnecessary caesarean section

Abstract: Background Caesarean section rates are increasing globally. The factors contributing to this increase are complex, and identifying interventions to address them is challenging. Non-clinical interventions are applied independently of a clinical encounter between a health provider and a patient. Such interventions may target women, health professionals or organisations. They address the determinants of caesarean births and could have a role in reducing unnecessary caesarean sections. This review was first publis… Show more

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Cited by 158 publications
(241 citation statements)
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“…This third paper in this Series on optimising CS rates is thus focused on interventions to reduce unnecessary CS, which we define as being performed in the absence of medical (including psychological) indications. [10][11][12] We begin with an overview of the drivers behind increasing CS rates. We then examine the nature and effects of both clinical and non-clinical (behavioural, educational, psychosocial) interventions that have been tested in studies specifically designed to safely reduce CS births.…”
Section: Caesarean Birth: Over and Beyond Medical Sensementioning
confidence: 99%
“…This third paper in this Series on optimising CS rates is thus focused on interventions to reduce unnecessary CS, which we define as being performed in the absence of medical (including psychological) indications. [10][11][12] We begin with an overview of the drivers behind increasing CS rates. We then examine the nature and effects of both clinical and non-clinical (behavioural, educational, psychosocial) interventions that have been tested in studies specifically designed to safely reduce CS births.…”
Section: Caesarean Birth: Over and Beyond Medical Sensementioning
confidence: 99%
“…One of the main referred difficulties was the lack of a classification tool that would be feasible to be used internationally, to allow audit feedback and setting an optimal CS rate over countries. To address this gap, in 2001, Robson et al proposed an overall classification method that facilitates an understanding of the rate of CS in a center and makes it possible to identify key subpopulation groups, all in order to inform measures aimed at preventing unnecessary procedures [10][11][12].The WHO has proposed the use of the Robson ten-group classification system (RTGCS) as the global standard, as this classification method allows for the analysis of changing trends over time, makes it possible to compare differences between centers and shed light on how changes in clinical practice can optimize caesarean rates, thus ensuring excellence in maternal and perinatal care [13]. The more in-depth analysis offered by this method allows us to examine issues such as which groups of women and which obstetric populations are most likely to undergo caesarean sections, information that can point us toward the kinds of interventions that might help reduce the rates of caesarean sections, when and where such reductions are desirable [14].The present study aimed to conduct an analysis of births using the RTGCS in La Ribera University Hospital over nine years and to assess the levels and trends of CS births.…”
mentioning
confidence: 99%
“…One of the main referred difficulties was the lack of a classification tool that would be feasible to be used internationally, to allow audit feedback and setting an optimal CS rate over countries. To address this gap, in 2001, Robson et al proposed an overall classification method that facilitates an understanding of the rate of CS in a center and makes it possible to identify key subpopulation groups, all in order to inform measures aimed at preventing unnecessary procedures [10][11][12].…”
mentioning
confidence: 99%
“…Numerous attempts have been made to reduce the CS rate around the world [27,28,34,[36][37][38]. Unfortunately, the impact of a single intervention approach has been inconsistent and mostly limited [39]. Chaillet et al used multifaceted interventions, including audits of indications for CS, provision of feedback to health professionals, and implementation of best practices, and reported a statistically significant but small reduction in the CS rate (adjusted risk difference = − 1.8%; 95% CI − 3.8%, − 0.2%) [34].…”
Section: Discussionmentioning
confidence: 99%