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Applying the lessons of maternal mortality reduction to global emergency health

Overview of attention for article published in Bulletin of the World Health Organization, March 2015
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Title
Applying the lessons of maternal mortality reduction to global emergency health
Published in
Bulletin of the World Health Organization, March 2015
DOI 10.2471/blt.14.146571
Pubmed ID
Authors

Emilie J Calvello, Alexander P Skog, Andrea G Tenner, Lee A Wallis

Abstract

Over the last few decades, maternal health has been a major focus of the international community and this has resulted in a substantial decrease in maternal mortality globally. Although, compared with maternal illness, medical and surgical emergencies account for far more morbidity and mortality, there has been less focus on global efforts to improve comprehensive emergency systems. The thoughtful and specific application of the concepts used in the effort to decrease maternal mortality could lead to major improvements in global emergency health services. The so-called three-delay model that was developed for maternal mortality can be adapted to emergency service delivery. Adaptation of evaluation frameworks to include emergency sentinel conditions could allow effective monitoring of emergency facilities and further policy development. Future global emergency health efforts may benefit from incorporating strategies for the planning and evaluation of high-impact interventions.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 449 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 <1%
Spain 1 <1%
Unknown 446 99%

Demographic breakdown

Readers by professional status Count As %
Student > Master 124 28%
Student > Bachelor 45 10%
Student > Postgraduate 40 9%
Student > Ph. D. Student 39 9%
Researcher 36 8%
Other 71 16%
Unknown 94 21%
Readers by discipline Count As %
Medicine and Dentistry 144 32%
Nursing and Health Professions 97 22%
Social Sciences 39 9%
Business, Management and Accounting 7 2%
Agricultural and Biological Sciences 7 2%
Other 45 10%
Unknown 110 24%