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The discordance between evidence and health policy in the United States: the science of translational research and the critical role of diverse stakeholders

Overview of attention for article published in Health Research Policy and Systems, August 2018
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (91st percentile)
  • Good Attention Score compared to outputs of the same age and source (76th percentile)

Mentioned by

news
1 news outlet
blogs
1 blog
twitter
27 X users

Citations

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24 Dimensions

Readers on

mendeley
136 Mendeley
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Title
The discordance between evidence and health policy in the United States: the science of translational research and the critical role of diverse stakeholders
Published in
Health Research Policy and Systems, August 2018
DOI 10.1186/s12961-018-0336-7
Pubmed ID
Authors

Mohsen Malekinejad, Hacsi Horvath, Harry Snyder, Claire D. Brindis

Abstract

There is often a discordance between health research evidence and public health policies implemented by the United States federal government. In the process of developing health policy, discordance can arise through subjective and objective factors that are unrelated to the value of the evidence itself, and can inhibit the use of research evidence. We explore two common types of discordance through four illustrative examples and then propose a potential means of addressing discordance. In Discordance 1, public health authorities make recommendations for policy action, yet these are not based on high quality, rigorously synthesised research evidence. In Discordance 2, evidence-based public health recommendations are ignored or discounted in developing United States federal government policy. Both types could lead to serious risks of public health and clinical patient harms. We suggest that, to mitigate risks associated with these discordances, public health practitioners, health policy-makers, health advocates and other key stakeholders should take the opportunity to learn or expand their knowledge regarding current research methods, as well as improve their skills for appropriately considering the strengths and limitations of research evidence. This could help stakeholders to adopt a more nuanced approach to developing health policy. Stakeholders should also have a more insightful contextual awareness of these discordances and understand their potential harms. In Discordance 1, public health organisations and authorities need to acknowledge their own historical roles in making public health recommendations with insufficient evidence for improving health outcomes. In Discordance 2, policy-makers should recognise the larger impact of their decision-making based on minimal or flawed evidence, including the potential for poor health outcomes at population level and the waste of huge sums. In both types of discordance, stakeholders need to consider the impact of their own unconscious biases in championing evidence that may not be valid or conclusive. Public health policy needs to provide evidence-based solutions to public health problems, but this is not always done. We discuss some of the factors inhibiting evidence-based decision-making in United States federal government public health policy and suggest ways these could be addressed.

X Demographics

X Demographics

The data shown below were collected from the profiles of 27 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 136 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 136 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 20 15%
Student > Master 20 15%
Student > Ph. D. Student 10 7%
Student > Doctoral Student 10 7%
Student > Bachelor 10 7%
Other 20 15%
Unknown 46 34%
Readers by discipline Count As %
Medicine and Dentistry 23 17%
Nursing and Health Professions 22 16%
Social Sciences 17 13%
Engineering 4 3%
Psychology 4 3%
Other 15 11%
Unknown 51 38%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 28. 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 07 February 2022.
All research outputs
#1,200,454
of 23,072,295 outputs
Outputs from Health Research Policy and Systems
#121
of 1,228 outputs
Outputs of similar age
#25,208
of 301,697 outputs
Outputs of similar age from Health Research Policy and Systems
#9
of 38 outputs
Altmetric has tracked 23,072,295 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,228 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.0. This one has done particularly well, scoring higher than 90% 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 301,697 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 91% of its contemporaries.
We're also able to compare this research output to 38 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 76% of its contemporaries.