Prevention, diagnosis and pharmacological treatment of infections in pregnancy: The mobile app GAIA! for healthcare providers and patients.

Objective: To develop and assess the GAIA! app, designed to assist pregnant women and healthcare professionals in managing infectious diseases during pregnancy, and to bridge the information gap between health professionals and expectant mothers.

Study Design: This collaborative initiative in Italy involved partnerships with the University of Florence, Careggi University Hospital, and other institutions. The app, built on the Ionic framework, is available on both Apple and Google App Stores.

Data of the MAternal Mood Assessment (MAMA) survey for healthcare professionals: A pilot study on midwives in Italy.

This article describes the data collected from a survey of 152 midwives in Italy on their knowledge, attitudes, and practices regarding perinatal depression. The survey used the MAternal Mood Assessment (MAMA) questionnaire, a 35-item tool that covers various aspects of perinatal depression, such as definition, prevalence, risk factors, diagnosis, management, and support. The data provides valuable insights into the training needs and experiences of midwives in the area of maternal mental health, which can inform the development of interventions and education programs.

The Emotional Landscape of Pregnancy and Postpartum during the COVID-19 Pandemic in Italy: A Mixed-Method Analysis Using Artificial Intelligence.

The COVID-19 pandemic affected the perinatal emotional landscape in Italy, a country that had high mortality and implemented a strict lockdown during the pandemic. This study explores the emotions and challenges of pregnant and postpartum women during the pandemic, using AI-based mixed methods. The study analyzed 1774 women from the national survey COVID-ASSESS: 1136 pregnant and 638 postpartum women.