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Use of evidence to support healthy public policy: a policy effectiveness-feasibility loop

Overview of attention for article published in Bulletin of the World Health Organization, November 2012
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  • Good Attention Score compared to outputs of the same age (75th percentile)

Mentioned by

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1 policy source
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3 X users

Citations

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27 Dimensions

Readers on

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46 Mendeley
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Title
Use of evidence to support healthy public policy: a policy effectiveness-feasibility loop
Published in
Bulletin of the World Health Organization, November 2012
DOI 10.2471/blt.12.104968
Pubmed ID
Authors

Sarah Bowman, Nigel Unwin, Julia Critchley, Simon Capewell, Abdullatif Husseini, Wasim Maziak, Shahaduz Zaman, Habiba Ben Romdhane, Fouad, Peter Phillimore, Belgin Unal, Rana Khatib, Azza Shoaibi, Balsam Ahmad

Abstract

Public policy plays a key role in improving population health and in the control of diseases, including non-communicable diseases. However, an evidence-based approach to formulating healthy public policy has been difficult to implement, partly on account of barriers that hinder integrated work between researchers and policy-makers. This paper describes a "policy effectiveness-feasibility loop" (PEFL) that brings together epidemiological modelling, local situation analysis and option appraisal to foster collaboration between researchers and policy-makers. Epidemiological modelling explores the determinants of trends in disease and the potential health benefits of modifying them. Situation analysis investigates the current conceptualization of policy, the level of policy awareness and commitment among key stakeholders, and what actually happens in practice, thereby helping to identify policy gaps. Option appraisal integrates epidemiological modelling and situation analysis to investigate the feasibility, costs and likely health benefits of various policy options. The authors illustrate how PEFL was used in a project to inform public policy for the prevention of cardiovascular diseases and diabetes in four parts of the eastern Mediterranean. They conclude that PEFL may offer a useful framework for researchers and policy-makers to successfully work together to generate evidence-based policy, and they encourage further evaluation of this approach.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 46 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 46 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 4 9%
Researcher 2 4%
Student > Doctoral Student 1 2%
Student > Bachelor 1 2%
Unknown 38 83%
Readers by discipline Count As %
Business, Management and Accounting 2 4%
Nursing and Health Professions 2 4%
Social Sciences 2 4%
Agricultural and Biological Sciences 1 2%
Economics, Econometrics and Finance 1 2%
Other 1 2%
Unknown 37 80%
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 05 April 2021.
All research outputs
#6,638,103
of 25,988,468 outputs
Outputs from Bulletin of the World Health Organization
#184
of 599 outputs
Outputs of similar age
#49,145
of 203,662 outputs
Outputs of similar age from Bulletin of the World Health Organization
#1
of 3 outputs
Altmetric has tracked 25,988,468 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 599 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.5. This one has gotten more attention than average, scoring higher than 71% 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 203,662 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 75% of its contemporaries.
We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them