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Operations research in global health: a scoping review with a focus on the themes of health equity and impact

Overview of attention for article published in Health Research Policy and Systems, April 2017
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (81st percentile)
  • Good Attention Score compared to outputs of the same age and source (65th percentile)

Mentioned by

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1 policy source
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13 X users

Citations

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23 Dimensions

Readers on

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333 Mendeley
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Title
Operations research in global health: a scoping review with a focus on the themes of health equity and impact
Published in
Health Research Policy and Systems, April 2017
DOI 10.1186/s12961-017-0187-7
Pubmed ID
Authors

Beverly D. Bradley, Tiffany Jung, Ananya Tandon-Verma, Bassem Khoury, Timothy C. Y. Chan, Yu-Ling Cheng

Abstract

Operations research (OR) is a discipline that uses advanced analytical methods (e.g. simulation, optimisation, decision analysis) to better understand complex systems and aid in decision-making. Herein, we present a scoping review of the use of OR to analyse issues in global health, with an emphasis on health equity and research impact. A systematic search of five databases was designed to identify relevant published literature. A global overview of 1099 studies highlights the geographic distribution of OR and common OR methods used. From this collection of literature, a narrative description of the use of OR across four main application areas of global health - health systems and operations, clinical medicine, public health and health innovation - is also presented. The theme of health equity is then explored in detail through a subset of 44 studies. Health equity is a critical element of global health that cuts across all four application areas, and is an issue particularly amenable to analysis through OR. Finally, we present seven select cases of OR analyses that have been implemented or have influenced decision-making in global health policy or practice. Based on these cases, we identify three key drivers for success in bridging the gap between OR and global health policy, namely international collaboration with stakeholders, use of contextually appropriate data, and varied communication outlets for research findings. Such cases, however, represent a very small proportion of the literature found. Poor availability of representative and quality data, and a lack of collaboration between those who develop OR models and stakeholders in the contexts where OR analyses are intended to serve, were found to be common challenges for effective OR modelling in global health.

X Demographics

X Demographics

The data shown below were collected from the profiles of 13 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 333 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 333 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 38 11%
Researcher 30 9%
Student > Ph. D. Student 28 8%
Student > Bachelor 19 6%
Student > Doctoral Student 14 4%
Other 49 15%
Unknown 155 47%
Readers by discipline Count As %
Medicine and Dentistry 39 12%
Nursing and Health Professions 26 8%
Social Sciences 22 7%
Engineering 22 7%
Business, Management and Accounting 11 3%
Other 45 14%
Unknown 168 50%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 11. 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 02 May 2022.
All research outputs
#3,345,544
of 25,292,378 outputs
Outputs from Health Research Policy and Systems
#483
of 1,378 outputs
Outputs of similar age
#57,433
of 316,635 outputs
Outputs of similar age from Health Research Policy and Systems
#10
of 26 outputs
Altmetric has tracked 25,292,378 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,378 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.7. This one has gotten more attention than average, scoring higher than 64% of its peers.
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 316,635 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 81% of its contemporaries.
We're also able to compare this research output to 26 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 65% of its contemporaries.