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The GRADE Evidence to Decision (EtD) framework for health system and public health decisions

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

  • In the top 5% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#17 of 1,407)
  • High Attention Score compared to outputs of the same age (97th percentile)
  • High Attention Score compared to outputs of the same age and source (93rd percentile)

Mentioned by

blogs
1 blog
policy
3 policy sources
twitter
131 X users
googleplus
1 Google+ user

Citations

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197 Dimensions

Readers on

mendeley
266 Mendeley
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Title
The GRADE Evidence to Decision (EtD) framework for health system and public health decisions
Published in
Health Research Policy and Systems, May 2018
DOI 10.1186/s12961-018-0320-2
Pubmed ID
Authors

Jenny Moberg, Andrew D. Oxman, Sarah Rosenbaum, Holger J. Schünemann, Gordon Guyatt, Signe Flottorp, Claire Glenton, Simon Lewin, Angela Morelli, Gabriel Rada, Pablo Alonso-Coello, for the GRADE Working Group

Abstract

To describe a framework for people making and using evidence-informed health system and public health recommendations and decisions. We developed the GRADE Evidence to Decision (EtD) framework for health system and public health decisions as part of the DECIDE project, in which we simultaneously developed frameworks for these and other types of healthcare decisions, including clinical recommendations, coverage decisions and decisions about diagnostic tests. Building on GRADE EtD tables, we used an iterative approach, including brainstorming, consultation of the literature and with stakeholders, and an international survey of policy-makers. We applied the framework to diverse examples, conducted workshops and user testing with health system and public health guideline developers and policy-makers, and observed and tested its use in real-life guideline panels. All the GRADE EtD frameworks share the same basic structure, including sections for formulating the question, making an assessment and drawing conclusions. Criteria listed in the assessment section of the health system and public health framework cover the important factors for making these types of decisions; in addition to the effects and economic impact of an option, the priority of the problem, the impact of the option on equity, and its acceptability and feasibility are important considerations that can inform both whether and how to implement an option. Because health system and public health interventions are often complex, detailed implementation considerations should be made when making a decision. The certainty of the evidence is often low or very low, but decision-makers must still act. Monitoring and evaluation are therefore often important considerations for these types of decisions. We illustrate the different components of the EtD framework for health system and public health decisions by presenting their application in a framework adapted from a real-life guideline. This framework provides a structured and transparent approach to support policy-making informed by the best available research evidence, while making the basis for decisions accessible to those whom they will affect. The health system and public health EtD framework can also be used to facilitate dissemination of recommendations and enable decision-makers to adopt, and adapt, recommendations or decisions.

X Demographics

X Demographics

The data shown below were collected from the profiles of 131 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 266 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 266 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 46 17%
Student > Master 35 13%
Student > Ph. D. Student 25 9%
Student > Bachelor 19 7%
Student > Postgraduate 18 7%
Other 52 20%
Unknown 71 27%
Readers by discipline Count As %
Medicine and Dentistry 69 26%
Nursing and Health Professions 26 10%
Social Sciences 12 5%
Agricultural and Biological Sciences 8 3%
Engineering 8 3%
Other 55 21%
Unknown 88 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 100. 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 29 January 2024.
All research outputs
#430,885
of 25,732,188 outputs
Outputs from Health Research Policy and Systems
#17
of 1,407 outputs
Outputs of similar age
#9,408
of 345,725 outputs
Outputs of similar age from Health Research Policy and Systems
#2
of 32 outputs
Altmetric has tracked 25,732,188 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,407 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.8. This one has done particularly well, scoring higher than 98% 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 345,725 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 97% 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 done particularly well, scoring higher than 93% of its contemporaries.