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An analysis of three levels of scaled-up coverage for 28 interventions to avert stillbirths and maternal, newborn and child mortality in 27 countries in Latin America and the Caribbean with the Lives…

Overview of attention for article published in BMC Public Health, July 2016
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Title
An analysis of three levels of scaled-up coverage for 28 interventions to avert stillbirths and maternal, newborn and child mortality in 27 countries in Latin America and the Caribbean with the Lives Saved Tool (LiST)
Published in
BMC Public Health, July 2016
DOI 10.1186/s12889-016-3238-z
Pubmed ID
Authors

Lauren Arnesen, Thomas O’Connell, Luisa Brumana, Pablo Durán

Abstract

Action to avert maternal and child mortality was propelled by the Millennium Development Goals (MDGs) in 2000. The Latin American and Caribbean (LAC) region has shown promise in achieving the MDGs in many countries, but preventable maternal, neonatal and child mortality persist. Furthermore, preventable stillbirths are occurring in large numbers in the region. While an effective set of maternal, newborn and child health (MNCH) interventions have been identified, they have not been brought to scale across LAC. Baseline data for select MNCH interventions for 27 LAC countries that are included in the Lives Saved Tool (LiST) were verified and updated with survey data. Three LiST projections were built for each country: baseline, MDG-focused, and All Included, each scaling up a progressively larger set of interventions for 2015 - 2030. Impact was assessed for 2015 - 2035, comparing annual and total lives saved, as projected by LiST. Across the 27 countries 235,532 stillbirths, and 752,588 neonatal, 959,393 under-five, and 60,858 maternal deaths would be averted between 2015 and 2035 by implementing the All-Included intervention package, representing 67 %, 616 %, 807 % and 101 % more lives saved, respectively, than with the MDG-focused interventions. 25 % neonatal deaths averted with the All-Included intervention package would be due to asphyxia, 42 % from prematurity and 24 % from sepsis. Our modelling suggests a 337 % increase in the number of lives saved, which would have enormous impacts on population health. Further research could help clarify the impacts of a comprehensive scale-up of the full range of essential MNCH interventions we have modelled.

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The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 77 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 77 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 11 14%
Student > Ph. D. Student 9 12%
Student > Doctoral Student 8 10%
Researcher 7 9%
Student > Bachelor 5 6%
Other 13 17%
Unknown 24 31%
Readers by discipline Count As %
Medicine and Dentistry 19 25%
Nursing and Health Professions 18 23%
Social Sciences 4 5%
Agricultural and Biological Sciences 3 4%
Economics, Econometrics and Finance 2 3%
Other 8 10%
Unknown 23 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 23 July 2016.
All research outputs
#15,175,585
of 24,093,053 outputs
Outputs from BMC Public Health
#11,019
of 15,864 outputs
Outputs of similar age
#220,285
of 370,690 outputs
Outputs of similar age from BMC Public Health
#254
of 358 outputs
Altmetric has tracked 24,093,053 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 15,864 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.4. This one is in the 27th percentile – i.e., 27% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 370,690 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 358 others from the same source and published within six weeks on either side of this one. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.