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SUPPORT Tools for evidence-informed health Policymaking (STP) 4: Using research evidence to clarify a problem

Overview of attention for article published in Health Research Policy and Systems, December 2009
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  • Average Attention Score compared to outputs of the same age and source

Mentioned by

policy
1 policy source
twitter
1 X user

Citations

dimensions_citation
55 Dimensions

Readers on

mendeley
225 Mendeley
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Title
SUPPORT Tools for evidence-informed health Policymaking (STP) 4: Using research evidence to clarify a problem
Published in
Health Research Policy and Systems, December 2009
DOI 10.1186/1478-4505-7-s1-s4
Pubmed ID
Authors

John N Lavis, Michael G Wilson, Andrew D Oxman, Simon Lewin, Atle Fretheim

Abstract

This article is part of a series written for people responsible for making decisions about health policies and programmes and for those who support these decision makers. Policymakers and those supporting them often find themselves in situations that spur them on to work out how best to define a problem. These situations may range from being asked an awkward or challenging question in the legislature, through to finding a problem highlighted on the front page of a newspaper. The motivations for policymakers wanting to clarify a problem are diverse. These may range from deciding whether to pay serious attention to a particular problem that others claim is important, through to wondering how to convince others to agree that a problem is important. Debates and struggles over how to define a problem are a critically important part of the policymaking process. The outcome of these debates and struggles will influence whether and, in part, how policymakers take action to address a problem. Efforts at problem clarification that are informed by an appreciation of concurrent developments are more likely to generate actions. These concurrent developments can relate to policy and programme options (e.g. the publication of a report demonstrating the effectiveness of a particular option) or to political events (e.g. the appointment of a new Minister of Health with a personal interest in a particular issue). In this article, we suggest questions that can be used to guide those involved in identifying a problem and characterising its features. These are: 1. What is the problem? 2. How did the problem come to attention and has this process influenced the prospect of it being addressed? 3. What indicators can be used, or collected, to establish the magnitude of the problem and to measure progress in addressing it? 4. What comparisons can be made to establish the magnitude of the problem and to measure progress in addressing it? 5. How can the problem be framed (or described) in a way that will motivate different groups?

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 Kingdom 3 1%
United States 2 <1%
Canada 2 <1%
Brazil 2 <1%
South Africa 2 <1%
Netherlands 1 <1%
France 1 <1%
India 1 <1%
Portugal 1 <1%
Other 4 2%
Unknown 206 92%

Demographic breakdown

Readers by professional status Count As %
Student > Master 41 18%
Researcher 34 15%
Student > Ph. D. Student 34 15%
Other 19 8%
Professor > Associate Professor 13 6%
Other 46 20%
Unknown 38 17%
Readers by discipline Count As %
Medicine and Dentistry 80 36%
Social Sciences 32 14%
Nursing and Health Professions 22 10%
Business, Management and Accounting 7 3%
Agricultural and Biological Sciences 6 3%
Other 35 16%
Unknown 43 19%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 14 December 2022.
All research outputs
#7,209,728
of 22,788,370 outputs
Outputs from Health Research Policy and Systems
#817
of 1,213 outputs
Outputs of similar age
#47,040
of 163,891 outputs
Outputs of similar age from Health Research Policy and Systems
#12
of 25 outputs
Altmetric has tracked 22,788,370 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th 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 31st percentile – i.e., 31% 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 163,891 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 70% of its contemporaries.
We're also able to compare this research output to 25 others from the same source and published within six weeks on either side of this one. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.