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Modeling the potential impact of emerging innovations on achievement of Sustainable Development Goals related to maternal, newborn, and child health

Overview of attention for article published in Cost Effectiveness and Resource Allocation, July 2017
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Title
Modeling the potential impact of emerging innovations on achievement of Sustainable Development Goals related to maternal, newborn, and child health
Published in
Cost Effectiveness and Resource Allocation, July 2017
DOI 10.1186/s12962-017-0074-7
Pubmed ID
Authors

Tara Herrick, Claudia Harner-Jay, Craig Shaffer, Greg Zwisler, Peder Digre, Amie Batson

Abstract

Innovations that improve the affordability, accessibility, or effectiveness of health care played a major role in the Millennium Development Goal achievements and will be critical for reaching the ambitious new Sustainable Development Goal (SDG) health targets. Mechanisms to identify and prioritize innovations are essential to inform future investment decisions. Innovation Countdown 2030 crowdsourced health innovations from around the world and engaged recognized experts to systematically assess their lifesaving potential by 2030. A health impact modeling approach was developed and used to quantify the costs and lives saved for select innovations identified as having great promise for improving maternal, newborn, and child health. Preventive innovations targeting health conditions with a high mortality burden had the greatest impact in regard to the absolute number of estimated lives saved. The largest projected health impact was for a new tool for small-scale water treatment that automatically chlorinates water to a safe concentration without using electricity or moving parts. An estimated 1.5 million deaths from diarrheal disease among children under five could be prevented by 2030 by scaling up use of this technology. Use of chlorhexidine for umbilical cord care was associated with the second highest number of lives saved. The results show why a systematic modeling approach that can compare and contrast investment opportunities is important for prioritizing global health innovations. Rigorous impact estimates are needed to allocate limited resources toward the innovations with great potential to advance the SDGs.

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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 89 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 89 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 12 13%
Student > Master 10 11%
Student > Ph. D. Student 9 10%
Student > Doctoral Student 6 7%
Other 5 6%
Other 15 17%
Unknown 32 36%
Readers by discipline Count As %
Medicine and Dentistry 19 21%
Business, Management and Accounting 7 8%
Social Sciences 6 7%
Nursing and Health Professions 5 6%
Engineering 4 4%
Other 11 12%
Unknown 37 42%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 17 July 2017.
All research outputs
#17,905,157
of 22,988,380 outputs
Outputs from Cost Effectiveness and Resource Allocation
#341
of 432 outputs
Outputs of similar age
#224,310
of 312,615 outputs
Outputs of similar age from Cost Effectiveness and Resource Allocation
#4
of 9 outputs
Altmetric has tracked 22,988,380 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 432 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.1. This one is in the 17th percentile – i.e., 17% 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 312,615 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 9 others from the same source and published within six weeks on either side of this one. This one has scored higher than 5 of them.