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Neighborhoods, networks, and delivery methods.

Emilia Barili1, Paola Bertoli2, Veronica Grembi3

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This summary is machine-generated.

Social networks influence C-section rates among pregnant women in Italy. Higher C-section incidence in a woman's network increases her own likelihood of undergoing the procedure, highlighting information transmission effects.

Keywords:
Cesarean sectionsNeighborhood effectsNetworks

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Area of Science:

  • Public Health
  • Sociology
  • Medical Geography

Background:

  • Geographic variations in Cesarean section (C-section) rates exist.
  • Social networks and information transmission may influence healthcare decisions.

Purpose of the Study:

  • To investigate the role of information transmission within social networks on C-section rates.
  • To differentiate effects between Italian and foreign women in Lombardy, Italy.

Main Methods:

  • Defined social networks based on pregnant women residing in the same municipality.
  • Analyzed the correlation between C-section incidence in a woman's network and her own C-section probability.
  • Controlled for factors like hospital selection and C-section complication rates.

Main Results:

  • A one standard deviation increase in network C-section incidence correlated with a 0.007 percentage point (3%) rise in an individual's C-section probability.
  • Network effects were more pronounced for Italian women, while both network and neighborhood effects were observed for foreign women.
  • Both groups responded to information on C-section complication rates.

Conclusions:

  • Social network information significantly contributes to geographic variations in C-section rates.
  • Interventions targeting social networks could potentially influence C-section delivery rates.
  • Understanding network dynamics is crucial for public health strategies related to childbirth interventions.