Evidence map›Paper›PMID 19400941›Full record

ArticleBMC public health2009

A translational framework for public health research.

David Ogilvie, Peter Craig, Simon Griffin, Sally Macintyre, Nicholas J Wareham

Abstract read
In one paragraph

Article in BMC public health, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 64 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
64citing 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

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

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  20. Severely stigmatised skin neglected tropical diseases: a protocol for social science engagement.Transactions of the Royal Society of Tropical Medicine and Hygiene · 2020
    Article

4 more citing papers are in PubMed but not listed here.

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

5 authors.

David OgilvieMedical Research Council Epidemiology Unit and Centre for Diet and Activity Research, Cambridge, UK. david.ogilvie@mrc-epid.cam.ac.uk
Peter Craig
Simon Griffin
Sally Macintyre
Nicholas J Wareham

Funding

Chief Scientist Office SPHSU1Medical Research Council MC_U106179471Medical Research Council MC_U106179474Medical Research Council MC_U130059812Medical Research Council MC_U130059821
6 · The paper itself

Abstract

backgroundThe paradigm of translational medicine that underpins frameworks such as the Cooksey report on the funding of health research does not adequately reflect the complex reality of the public health environment. We therefore outline a translational framework for public health research. DISCUSSION: Our framework redefines the objective of translation from that of institutionalising effective interventions to that of improving population health by influencing both individual and collective determinants of health. It incorporates epidemiological perspectives with those of the social sciences, recognising that many types of research may contribute to the shaping of policy, practice and future research. It also identifies a pivotal role for evidence synthesis and the importance of non-linear and intersectoral interfaces with the public realm. SUMMARY: We propose a research agenda to advance the field and argue that resources for 'applied' or 'translational' public health research should be deployed across the framework, not reserved for 'dissemination' or 'implementation'.

Indexed as

Biomedical ResearchDecision Making, OrganizationalDiffusion of InnovationEpidemiologic Research DesignEvidence-Based MedicineHealth Services ResearchHumansPublic HealthQuality Assurance, Health CareUnited Kingdom

Identifiers

PMID19400941
PMCPMC2681470

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.