Using natural experiments to evaluate population health interventions: new Medical Research Council guidance
Using natural experiments to evaluate population health interventions: new Medical Research Council guidance
Natural experimental studies are often recommended as a way of understanding the health impact of policies and other large scale interventions. Although they have certain advantages over planned experiments, and may be the only option when it is impossible to manipulate exposure to the intervention, natural experimental studies are more susceptible to bias. This paper introduces new guidance from the Medical Research Council to help researchers and users, funders and publishers of research evidence make the best use of natural experimental approaches to evaluating population health interventions. The guidance emphasises that natural experiments can provide convincing evidence of impact even when effects are small or take time to appear. However, a good understanding is needed of the process determining exposure to the intervention, and careful choice and combination of methods, testing of assumptions and transparent reporting is vital. More could be learnt from natural experiments in future as experience of promising but lesser used methods accumulates
1182-1186
Craig, Peter
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Cooper, Cyrus
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Gunnell, David
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Haw, Sally
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Lawson, Kenny
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Macintyre, Sally
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Olgivie, David
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Petticrew, Mark
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Reeves, Barney
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Sutton, Matt
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Thompson, Simon
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December 2012
Craig, Peter
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Cooper, Cyrus
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Gunnell, David
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Haw, Sally
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Lawson, Kenny
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Macintyre, Sally
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Olgivie, David
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Petticrew, Mark
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Reeves, Barney
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Sutton, Matt
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Thompson, Simon
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Craig, Peter, Cooper, Cyrus, Gunnell, David, Haw, Sally, Lawson, Kenny, Macintyre, Sally, Olgivie, David, Petticrew, Mark, Reeves, Barney, Sutton, Matt and Thompson, Simon
(2012)
Using natural experiments to evaluate population health interventions: new Medical Research Council guidance.
Journal of Epidemiology & Community Health, 66 (12), .
(doi:10.1136/jech-2011-200375.).
(PMID:22577181)
Abstract
Natural experimental studies are often recommended as a way of understanding the health impact of policies and other large scale interventions. Although they have certain advantages over planned experiments, and may be the only option when it is impossible to manipulate exposure to the intervention, natural experimental studies are more susceptible to bias. This paper introduces new guidance from the Medical Research Council to help researchers and users, funders and publishers of research evidence make the best use of natural experimental approaches to evaluating population health interventions. The guidance emphasises that natural experiments can provide convincing evidence of impact even when effects are small or take time to appear. However, a good understanding is needed of the process determining exposure to the intervention, and careful choice and combination of methods, testing of assumptions and transparent reporting is vital. More could be learnt from natural experiments in future as experience of promising but lesser used methods accumulates
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e-pub ahead of print date: May 2012
Published date: December 2012
Organisations:
Faculty of Medicine
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Local EPrints ID: 347829
URI: http://eprints.soton.ac.uk/id/eprint/347829
ISSN: 0143-005X
PURE UUID: 4ed70785-edc5-495e-80a5-b33fc39b7ce4
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Date deposited: 01 Feb 2013 09:00
Last modified: 18 Mar 2024 02:45
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Author:
Peter Craig
Author:
David Gunnell
Author:
Sally Haw
Author:
Kenny Lawson
Author:
Sally Macintyre
Author:
David Olgivie
Author:
Mark Petticrew
Author:
Barney Reeves
Author:
Matt Sutton
Author:
Simon Thompson
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