Artículos de revistas
Network For Surveillance Of Severe Maternal Morbidity: A Powerful National Collaboration Generating Data On Maternal Health Outcomes And Care
Registro en:
Bjog- Na International Journal Of Obstetrics Gynaecology. Wiley-blackwell, v. 123, p. 946 - 953, 2016.
1470-0328
1471-0528
WOS:000374705100015
10.1111/1471-0528.13614
Autor
Cecatti
J. G.; Costa
M. L.; Haddad
S. M.; Parpinelli
M. A.; Souza
J. P.; Sousa
M. H.; Surita
F. G.; Pinto e Silva
J. L.; Pacagnella
R. C.; Passini
R.
Jr.
Institución
Resumen
Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq) Identify cases of severe maternal morbidity (SMM) during pregnancy and childbirth, their characteristics, and to test the feasibility of scaling up World Health Organization criteria for identifying women at risk of a worse outcome. DesignMulticentre cross-sectional study. SettingTwenty-seven referral maternity hospitals from all regions of Brazil. PopulationCases of SMM identified among 82 388 delivering women over a 1-year period. MethodsProspective surveillance using the World Health Organization's criteria for potentially life-threatening conditions (PLTC) and maternal near-miss (MNM) identified and assessed cases with severe morbidity or death. Main outcome measuresIndicators of maternal morbidity and mortality; sociodemographic, clinical and obstetric characteristics; gestational and perinatal outcomes; main causes of morbidity and delays in care. ResultsAmong 9555 cases of SMM, there were 140 deaths and 770 cases of MNM. The main determining cause of maternal complication was hypertensive disease. Criteria for MNM conditions were more frequent as the severity of the outcome increased, all combined in over 75% of maternal deaths. ConclusionsThis study identified around 9.5% of MNM or death among all cases developing any severe maternal complication. Multicentre studies on surveillance of SMM, with organised collaboration and adequate study protocols can be successfully implemented, even in low-income and middle-income settings, generating important information on maternal health and care to be used to implement appropriate health policies and interventions. Tweetable abstractSurveillance of severe maternal morbidity was proved to be possible in a hospital network in Brazil. Tweetable abstract Surveillance of severe maternal morbidity was proved to be possible in a hospital network in Brazil. 123 6 946 953 CNPq/DECIT (The National Research Council and the Department of Science and Technology of the Brazilian Ministry of Health) [402702/2008-5] Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)