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Making the cut on caesarean section: a logistic regression analysis on factors favouring caesarean sections without medical indication in comparison to spontaneous vaginal birth.

Anja Y BischofAlexander Geissler
Published in: BMC pregnancy and childbirth (2023)
By identifying non-medically indicated caesarean sections using routine data, it becomes feasible to gain insights into the characteristics of impacted mothers as well as the external factors involved. Illustrating these results, our recommendation is to revise the incentive policies directed towards healthcare professionals. Among others, future research may investigate the potential of midwife-assisted pregnancy programs on strengthening spontaneous vaginal births in absence of medical complications.
Keyphrases
  • healthcare
  • public health
  • gestational age
  • preterm birth
  • pregnancy outcomes
  • electronic health record
  • risk factors
  • clinical practice
  • machine learning