| Title |
The WHO Maternal Near-Miss Approach and the Maternal Severity Index Model (MSI): Tools for Assessing the Management of Severe Maternal Morbidity
|
|---|---|
| Published in |
PLOS ONE, August 2012
|
| DOI | 10.1371/journal.pone.0044129 |
| Pubmed ID | |
| Authors |
Joao Paulo Souza, Jose Guilherme Cecatti, Samira M. Haddad, Mary Angela Parpinelli, Maria Laura Costa, Leila Katz, Lale Say, Elson J Almeida, Eliana M Amaral, Melania M Amorim, Carla B Andreucci, Márcia M Aquino, Maria V Bahamondes, Antonio C Barbosa Lima, Frederico Barroso, Adriana Bione, Ione R Brum, Iracema M Calderon, Rodrigo S Camargo, Felipe F Campanharo, Luiz E Carvalho, Simone A Carvalho, José G Cecatti, George N Chaves, Eduardo Cordioli, Maria L Costa, Roberto A Costa, Sergio M Costa, Francisco E Feitosa, Djacyr M Freire, Simone P Gonçalves, Everardo M Guanabara, Daniela Guimarães, Lúcio T Gurgel, Samira M Haddad, Leila Katz, Debora Leite, Moises D Lima, Gustavo Lobato, Fátima A Lotufo, Adriana G Luz, Nelson L Maia Filho, Marilia G Martins, Jacinta P Matias, Rosiane Mattar, Carlos A Menezes, Elaine C Moises, Olímpio B Moraes Filho, Joaquim L Moreira, Marcos Nakamura-Pereira, Denis J Nascimento, Maria H Ohnuma, Fernando C Oliveira, Rodolfo C Pacagnella, Cláudio S Paiva, Mary A Parpinelli, Robert C Pattinson, Liv B Paula, Jose C Peraçoli, Frederico A Peret, Cynthia D Perez, Cleire Pessoni, Alessandra Peterossi, Lucia C Pfitscher, João L Pinto e Silva, Silvana M Quintana, Ivelyne Radaci, Edilberto A Rocha Filho, Simone M Rodrigues, Roger D Rohloff, Marilza V Rudge, Gloria C Saint'ynes, Danielly S Santana, Patricia N Santos, Lale Say, Luiza E Schmaltz, Maria H Sousa, Maria R Sousa, Joäo P Souza, Fernanda G Surita, Elvira A Zanette, Vilma Zotareli |
| Abstract |
To validate the WHO maternal near-miss criteria and develop a benchmark tool for severe maternal morbidity assessments. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 288 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Brazil | 6 | 2% |
| Indonesia | 2 | <1% |
| Kenya | 1 | <1% |
| Switzerland | 1 | <1% |
| United Kingdom | 1 | <1% |
| Spain | 1 | <1% |
| Unknown | 276 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 48 | 17% |
| Student > Postgraduate | 39 | 14% |
| Researcher | 27 | 9% |
| Student > Ph. D. Student | 26 | 9% |
| Student > Doctoral Student | 23 | 8% |
| Other | 77 | 27% |
| Unknown | 48 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 145 | 50% |
| Nursing and Health Professions | 35 | 12% |
| Social Sciences | 17 | 6% |
| Business, Management and Accounting | 7 | 2% |
| Psychology | 4 | 1% |
| Other | 23 | 8% |
| Unknown | 57 | 20% |