Title |
From planning to practice: building the national network for the surveillance of severe maternal morbidity
|
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Published in |
BMC Public Health, May 2011
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DOI | 10.1186/1471-2458-11-283 |
Pubmed ID | |
Authors |
Samira M Haddad, José G Cecatti, Mary A Parpinelli, João P Souza, Maria L Costa, Maria H Sousa, Fernanda G Surita, João L Pinto e Silva, Rodolfo C Pacagnella, Rodrigo S Camargo, Maria V Bahamondes, Vilma Zotareli, Lúcio T Gurgel, Lale Say, Robert C Pattinson, National Network for the Surveillance of Severe Maternal Morbidity Group |
Abstract |
Improving maternal health is one of the Millennium Development Goals for 2015. Recently some progress has been achieved in reducing mortality. On the other hand, in developed regions, maternal death is a relatively rare event compared to the number of cases of morbidity; hence studying maternal morbidity has become more relevant. Electronic surveillance systems may improve research by facilitating complete data reporting and reducing the time required for data collection and analysis. Therefore the purpose of this study was to describe the methods used in elaborating and implementing the National Network for the Surveillance of Severe Maternal Morbidity in Brazil. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Brazil | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 1 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Brazil | 7 | 8% |
United Kingdom | 2 | 2% |
Kenya | 1 | 1% |
Spain | 1 | 1% |
Unknown | 79 | 88% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 15 | 17% |
Researcher | 11 | 12% |
Student > Postgraduate | 9 | 10% |
Professor > Associate Professor | 8 | 9% |
Student > Ph. D. Student | 7 | 8% |
Other | 24 | 27% |
Unknown | 16 | 18% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 44 | 49% |
Nursing and Health Professions | 8 | 9% |
Social Sciences | 6 | 7% |
Business, Management and Accounting | 3 | 3% |
Computer Science | 2 | 2% |
Other | 7 | 8% |
Unknown | 20 | 22% |