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Incorporating research evidence into decision-making processes: researcher and decision-maker perceptions from five low- and middle-income countries

Overview of attention for article published in Health Research Policy and Systems, November 2015
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  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (78th 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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1 Facebook page
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1 Google+ user

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196 Mendeley
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Title
Incorporating research evidence into decision-making processes: researcher and decision-maker perceptions from five low- and middle-income countries
Published in
Health Research Policy and Systems, November 2015
DOI 10.1186/s12961-015-0059-y
Pubmed ID
Authors

Zubin Shroff, Bhupinder Aulakh, Lucy Gilson, Irene A. Agyepong, Fadi El-Jardali, Abdul Ghaffar

Abstract

The 'Sponsoring National Processes for Evidence-Informed Policy Making in the Health Sector of Developing Countries' program was launched by the Alliance for Health Policy and Systems Research, WHO, in July 2008. The program aimed to catalyse the use of evidence generated through health policy and systems research in policymaking processes through (1) promoting researchers and policy advocates to present their evidence in a manner that is easy for policymakers to understand and use, (2) creating mechanisms to spur the demand for and application of research evidence in policymaking, and (3) increased interaction between researchers, policy advocates, and policymakers. Grants ran for three years and five projects were supported in Argentina, Bangladesh, Cameroon, Nigeria and Zambia. This paper seeks to understand why projects in some settings were perceived by the key stakeholders involved to have made progress towards their goals, whereas others were perceived to have not done so well. Additionally, by comparing experiences across five countries, we seek to illustrate general learnings to inform future evidence-to-policy efforts in low- and middle-income countries. We adopted the theory of knowledge translation developed by Jacobson et al. (J Health Serv Res Policy 8(2):94-9, 2003) as a framing device to reflect on project experiences across the five cases. Using data from the projects' external evaluation reports, which included information from semi-structured interviews and quantitative evaluation surveys of those involved in projects, and supplemented by information from the projects' individual technical reports, we applied the theoretical framework with a partially grounded approach to analyse each of the cases and make comparisons. There was wide variation across projects in the type of activities carried out as well as their intensity. Based on our findings, we can conclude that projects perceived as having made progress towards their goals were characterized by the coming together of a number of domains identified by the theory. The domains of Jacobson's theoretical framework, initially developed for high-income settings, are of relevance to the low- and middle-income country context, but may need modification to be fully applicable to these settings. Specifically, the relative fragility of institutions and the concomitantly more significant role of individual leaders point to the need to look at leadership as an additional domain influencing the evidence-to-policy process.

X Demographics

X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 196 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
South Africa 3 2%
United Kingdom 1 <1%
Netherlands 1 <1%
Sierra Leone 1 <1%
Unknown 190 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 46 23%
Student > Master 32 16%
Student > Ph. D. Student 28 14%
Other 10 5%
Student > Doctoral Student 9 5%
Other 33 17%
Unknown 38 19%
Readers by discipline Count As %
Medicine and Dentistry 43 22%
Social Sciences 40 20%
Nursing and Health Professions 22 11%
Business, Management and Accounting 7 4%
Agricultural and Biological Sciences 5 3%
Other 27 14%
Unknown 52 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 18 February 2019.
All research outputs
#4,904,224
of 23,577,654 outputs
Outputs from Health Research Policy and Systems
#641
of 1,238 outputs
Outputs of similar age
#80,967
of 390,790 outputs
Outputs of similar age from Health Research Policy and Systems
#11
of 32 outputs
Altmetric has tracked 23,577,654 research outputs across all sources so far. Compared to these this one has done well and is in the 76th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,238 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 47th percentile – i.e., 47% 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 390,790 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 78% of its contemporaries.
We're also able to compare this research output to 32 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.