[Obstetric care models in the Southern Region of Brazil and associated factors].
Manuela Beatriz VelhoOdaléa Maria BrüggemannChristine McCourtSilvana Granado Nogueira da GamaRoxana KnobelAnnelise de Carvalho GonçalvesEleonora D' OrsiPublished in: Cadernos de saude publica (2019)
The study sought to identify obstetric care models for low-risk pregnancies in the Southern Region of Brazil and to estimate factors associated with these models and maternal and neonatal outcomes. This is a cross-sectional, hospital-based study using data from the Birth in Brazil survey regarding puerperae and newborns. We identified 2,668 low-risk pregnant women. We carried out an exploratory analysis using the proportion of practices per hospital, among them inducing labor, presence of a companion, cesarean section and skin-to-skin contact, in order to obtain the care models we called Best Practice, Interventionist I and Interventionist II. We then carried out an inferential analysis of the associated characteristics. Results show that access to public or private funding, cultural factors and actions taken by health professional are associated with the care models. Public care had different contexts, one based on public policies and evidence-based practices; and another, that suggests the intentionality of vaginal delivery without considering humanization principles. Private care, on the other hand, is standardized and centered on the medical professional, with higher intervention levels. We conclude there is a predominance of interventionist obstetric care models in the Southern Region of Brazil, a type of care that goes against the best evidence, and that women who receive care in public hospitals have greater chances of benefiting from good practices.
Keyphrases
- healthcare
- pregnant women
- palliative care
- quality improvement
- mental health
- primary care
- public health
- affordable care act
- pain management
- type diabetes
- metabolic syndrome
- randomized controlled trial
- health information
- social media
- insulin resistance
- skeletal muscle
- health insurance
- climate change
- physical activity
- deep learning
- adverse drug
- preterm infants
- breast cancer risk
- glycemic control