[Maternal morbidity and mortality in Brazil and the urgency of a national surveillance system for maternal near miss].
Michelle Elaine Siqueira FerreiraRaquel Zanatta CoutinhoBernardo Lanza QueirozPublished in: Cadernos de saude publica (2023)
The World Health Organization (WHO) recommends the analysis of severe maternal morbidity/maternal near miss cases as complementary to the analysis of maternal deaths since the incidence is higher and the predictive factors of the two outcomes are similar. Considering that the reasons for maternal mortality in Brazil have remained constant despite the commitment made during the General Assembly of the United Nations in 2015, this article aims to propose a nationwide maternal near miss surveillance system. We propose the inclusion of maternal near miss events in the National List of Compulsory Notification of Diseases, Injuries, and Public Health Events, via the compatibility of the diagnostic criteria of maternal near miss, informed by the WHO, with the codes of the International Classification of Diseases for the identification of cases. Considering that health surveillance is based on several sources of information, notification could be made by health service professionals as soon as a confirmed or suspected case is identified. With the study of the factors associated with the outcomes, we expect a qualified evaluation of the services focused on obstetric care and consequent implementation of more efficient policies to prevent not only maternal death but also events that can both cause irreversible sequelae to women's health and increase the risk of fetal and neonatal death.
Keyphrases
- public health
- pregnancy outcomes
- birth weight
- healthcare
- primary care
- machine learning
- quality improvement
- type diabetes
- cardiovascular disease
- risk assessment
- adipose tissue
- polycystic ovary syndrome
- metabolic syndrome
- body mass index
- climate change
- deep learning
- coronary artery disease
- health information
- cardiovascular events
- cross sectional
- insulin resistance
- drug induced
- weight loss
- glycemic control