Objective: To evaluate the association between receiving information on obstetric complications and institutional delivery in Peruvian women in 2019.

Methods: We conducted a secondary analysis of the 2019 Peruvian Demographic and Family Health Survey (ENDES) database. The dependent variable was the type of delivery (institutional or non-institutional). The exposure variable was self-reporting of having received information on obstetric complications during prenatal care. The association of interest was evaluated using binary logistic regression models, obtaining crude odds ratios (cOR) and adjusted odds ratios (aOR) with their respective 95 % confidence intervals (95%CI). Values of p < 0.05 were considered statistically significant.

Results: We included a total of 14,835 women in the analysis. Of the total, 14,088 (94.1 %) reported having received information on pregnancy complications. Also, 13,883 (92.5 %) had an institutional delivery in their last pregnancy. The adjusted model showed that women who reported knowing the complications that can occur in pregnancy had a higher probability of presenting an institutional delivery (aOR = 1.47; 95%CI: 1.04-2.08).

Conclusions: Receiving information about pregnancy complications was found to be associated with a higher probability of institutional delivery. Ensuring the provision of information to the pregnant woman about pregnancy complications can be a useful strategy to increase institutional delivery.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10665671PMC
http://dx.doi.org/10.1016/j.heliyon.2023.e21146DOI Listing

Publication Analysis

Top Keywords

obstetric complications
12
association receiving
8
receiving obstetric
8
complications institutional
8
institutional delivery
8
health survey
8
odds ratios
8
delivery analysis
4
analysis demographic
4
demographic health
4

Similar Publications

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!