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Too Posh to Push: Determinants of Planned C-Section Delivery Among Indonesian Women

机译:太豪华的推动:印度尼西亚女性中计划的C系列分娩的决定因素

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Caesarean section (CS) delivery in Indonesia is on the rise and has drawn a considerable attention to its social determinants. However, information on planned CS delivery is limited in the Indonesian setting. Hence, this study aims at investigating its correlates. We employed data from the 2017 round of the Indonesian Demographic and Health Survey. The dependent variable is a nominal variable representing method of delivery (1 = natural, 2 = planned CS, 3 = unplanned CS). The explanatory variables comprise three groups, namely spatial, maternal, demographic, socio-economic variables, and access to information. We fitted simple and multivariable multinomial logit models using relative risk ratio as the measure of association. After selecting facility births only and deleting missing cases, we analysed an analytic sample of 12,225 births. Of those births we observed 22.89% were done by CS. There were slight differences related to region of residence and urban residence for both planned and unplanned CS. Higher maternal age corresponds with higher risks of both planned and unplanned CS. Complication during pregnancy was found to increase the risk of planned CS. Moreover, access to internet increases the probability of having planned and unplanned CS delivery. Furthermore, ownership of private insurance and affluence are strongly associated with planned CS delivery. These findings suggest an indication of unnecessary CS deliveries that consume resources that could otherwise be used for other health needs. Educating expectant mothers and families on the benefits of natural birth could reduce the planned c-section rates in Indonesia and save health resources.
机译:印度尼西亚的剖腹产(CS)交付正在上升,并对其社会决定因素进行了相当大的关注。但是,有关计划CS交付的信息在印度尼西亚环境中有限。因此,本研究旨在调查其相关性。我们雇用了2017年印度尼西亚人口统计和健康调查的数据。从属变量是表示递送方法的标称变量(1 =自然,2 =计划的CS,3 =未计划的CS)。解释性变量包括三组,即空间,母体,人口统计,社会经济变量以及获取信息。我们使用相对风险比作为关联度量的简单和多变量的多项式Lo​​git模型。在仅选择设施出生时并删除缺失案例后,我们分析了12,225名分析的分析样本。在那些我们观察到22.89%的诞生中由CS完成。与计划和计划生育的CS有关的居住地区和城市居住地区有略有差异。较高的母体时代对应于计划和计划生育的CS的较高风险。发现怀孕期间的并发症会增加计划CS的风险。此外,访问互联网增加了计划和计划外的CS交付的概率。此外,私人保险和富裕的所有权与计划的CS交付密切相关。这些发现表明,不必要的CS交付,这些CS交付量消耗可能用于其他健康需求的资源。教育预期母亲和家庭对自然出生的好处可以减少印度尼西亚的计划的C-eact率,并节省健康资源。

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