Protecting Breastfeeding during the COVID-19 Pandemic: A Scoping Review of Perinatal Care Recommendations in the Context of Maternal and Child Well-Being.
Aleksandra WesolowskaMagdalena Orczyk-PawiłowiczAgnieszka Bzikowska-JuraMałgorzata GawrońskaBartłomiej WalczakPublished in: International journal of environmental research and public health (2022)
The objective of this scoping review is to determine to what extent the recommendations on perinatal care protect breastfeeding during the COVID-19 pandemic. The review follows the PRISMA ScR Extension guidelines. The research was conducted in Scopus, Medline via Pubmed, and Web of Science databases from 1 March 2020 to 31 May 2021, using 392 combinations of keywords. We searched for reviews and original papers published in English providing recommendations on delivery mode, companion during labor, the possibility of skin-to-skin contact (SSC), breastfeeding, and visitors policy. After screening, 86 out of 8416 publications qualified for data extraction. The majority of them indicated that COVID-19 infection is not a sufficient reason for a cesarean section; however, on a national level, cesarean births in severely ill patients were overrepresented. A significant number of recommendations deprived mothers of the necessary support during their labor and stay in the maternity ward. A shared decision-making model was hardly visible. Only the earliest COVID-19 recommendations suspended direct breastfeeding; in later publications, decisions were related to the mother's health, but other options of natural feeding were rarely discussed.
Keyphrases
- clinical practice
- healthcare
- preterm infants
- public health
- mental health
- quality improvement
- end stage renal disease
- palliative care
- sars cov
- coronavirus disease
- pregnant women
- chronic kidney disease
- big data
- newly diagnosed
- ejection fraction
- randomized controlled trial
- peritoneal dialysis
- systematic review
- electronic health record
- pain management
- patient reported outcomes
- body mass index
- machine learning
- risk assessment
- wound healing
- social media
- weight gain
- meta analyses
- health promotion
- weight loss