Evidence map›Paper›PMID 23226897›Full record

ArticleBulletin of the World Health Organization2012

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

Sarah Bowman, Nigel Unwin, Julia Critchley, Simon Capewell, Abdullatif Husseini, Wasim Maziak, Shahaduz Zaman, Habiba Ben Romdhane, Fouad Fouad, Peter Phillimore and 4 more

Abstract read
In one paragraph

Article in Bulletin of the World Health Organization, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

19 citing papers in PubMed, 1 synthesis or guideline pooled it.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors.

Sarah BowmanInstitute of Health and Society, Newcastle University, Newcastle, England.
Nigel Unwin
Julia Critchley
Simon Capewell
Abdullatif Husseini
Wasim Maziak
Shahaduz Zaman
Habiba Ben Romdhane
Fouad Fouad
Peter Phillimore
Belgin Unal
Rana Khatib
Azza Shoaibi
Balsam Ahmad

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Health PolicyPolicy MakingResearch PersonnelEvidence-Based MedicineFeasibility StudiesHumansInterprofessional Relations

Identifiers

PMID23226897
PMCPMC3506406

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.