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Embedding health policy and systems research into decision-making processes in low- and middle-income countries

Overview of attention for article published in Health Research Policy and Systems, August 2013
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  • Good Attention Score compared to outputs of the same age (72nd percentile)

Mentioned by

policy
1 policy source
twitter
2 X users
facebook
1 Facebook page

Readers on

mendeley
225 Mendeley
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Title
Embedding health policy and systems research into decision-making processes in low- and middle-income countries
Published in
Health Research Policy and Systems, August 2013
DOI 10.1186/1478-4505-11-30
Pubmed ID
Authors

Adam D Koon, Krishna D Rao, Nhan T Tran, Abdul Ghaffar

Abstract

Attention is increasingly directed to bridging the gap between the production of knowledge and its use for health decision-making in low- and middle-income countries (LMICs). An important and underdeveloped area of health policy and systems research (HPSR) is the organization of this process. Drawing from an interdisciplinary conception of embeddedness, a literature review was conducted to identify examples of embedded HPSR used to inform decision-making in LMICs. The results of the literature review were organized according to the World Health Organization's Building Blocks Framework. Next, a conceptual model was created to illustrate the arrangement of organizations that produce embedded HPSR and the characteristics that facilitate its uptake into the arena of decision-making. We found that multiple forces converge to create context-specific pathways through which evidence enters into decision-making. Depending on the decision under consideration, the literature indicates that decision-makers may call upon an intricate combination of actors for sourcing HPSR. While proximity to decision-making does have advantages, it is not the position of the organization within the network, but rather the qualities the organization possesses, that enable it to be embedded. Our findings suggest that four qualities influence embeddedness: reputation, capacity, quality of connections to decision-makers, and quantity of connections to decision-makers and others. In addition to this, the policy environment (e.g. the presence of legislation governing the use of HPSR, presence of strong civil society, etc.) strongly influences uptake. Through this conceptual model, we can understand which conditions are likely to enhance uptake of HPSR in LMIC health systems. This raises several important considerations for decision-makers and researchers about the arrangement and interaction of evidence-generating organizations in health systems.

X Demographics

X Demographics

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

Geographical breakdown

Country Count As %
United States 2 <1%
United Kingdom 2 <1%
Pakistan 1 <1%
South Africa 1 <1%
Spain 1 <1%
Sierra Leone 1 <1%
Unknown 217 96%

Demographic breakdown

Readers by professional status Count As %
Student > Master 49 22%
Researcher 44 20%
Student > Ph. D. Student 32 14%
Other 13 6%
Student > Doctoral Student 13 6%
Other 43 19%
Unknown 31 14%
Readers by discipline Count As %
Medicine and Dentistry 64 28%
Social Sciences 46 20%
Nursing and Health Professions 23 10%
Business, Management and Accounting 9 4%
Agricultural and Biological Sciences 7 3%
Other 37 16%
Unknown 39 17%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 21 December 2020.
All research outputs
#6,282,098
of 22,796,179 outputs
Outputs from Health Research Policy and Systems
#743
of 1,213 outputs
Outputs of similar age
#53,483
of 197,424 outputs
Outputs of similar age from Health Research Policy and Systems
#11
of 13 outputs
Altmetric has tracked 22,796,179 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 1,213 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.1. This one is in the 37th percentile – i.e., 37% 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 197,424 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 72% of its contemporaries.
We're also able to compare this research output to 13 others from the same source and published within six weeks on either side of this one. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.