Randomised controlled trials for policy interventions: a review of reviews and meta-regression
Randomised controlled trials for policy interventions: a review of reviews and meta-regression
From the resampling studies we have no evidence that the absence of randomisation directly influences the effect size of policy interventions in a systematic way. At the level of individual studies, non-randomised trials may lead to different effect sizes, but this is unpredictable. Many of the examples reviewed and the new analyses in the current study reveal that randomisation is indeed associated with changes in effect sizes of policy interventions in field trials. Despite extensive analysis, we have identified no consistent explanations for these differences. Researchers mounting new evaluations need to avoid, wherever possible, allocation bias. New policy evaluations should adopt randomised designs wherever possible.
1-192
Oliver, S.
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Bagnall, A.M.
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Thomas, J.
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Shepherd, J.
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Sowden, A.
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White, I.
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Dinnes, J.
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Rees, R.
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Colquitt, J.
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Oliver, K.
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March 2010
Oliver, S.
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Bagnall, A.M.
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Thomas, J.
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Shepherd, J.
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Sowden, A.
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White, I.
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Dinnes, J.
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Rees, R.
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Colquitt, J.
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Oliver, K.
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Garrett, Z.
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Oliver, S., Bagnall, A.M., Thomas, J., Shepherd, J., Sowden, A., White, I., Dinnes, J., Rees, R., Colquitt, J., Oliver, K. and Garrett, Z.
(2010)
Randomised controlled trials for policy interventions: a review of reviews and meta-regression.
Health Technology Assessment, 14 (16), .
(doi:10.3310/hta14160).
(PMID:20338119)
Abstract
From the resampling studies we have no evidence that the absence of randomisation directly influences the effect size of policy interventions in a systematic way. At the level of individual studies, non-randomised trials may lead to different effect sizes, but this is unpredictable. Many of the examples reviewed and the new analyses in the current study reveal that randomisation is indeed associated with changes in effect sizes of policy interventions in field trials. Despite extensive analysis, we have identified no consistent explanations for these differences. Researchers mounting new evaluations need to avoid, wherever possible, allocation bias. New policy evaluations should adopt randomised designs wherever possible.
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mon1416.pdf
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Published date: March 2010
Identifiers
Local EPrints ID: 182999
URI: http://eprints.soton.ac.uk/id/eprint/182999
ISSN: 1366-5278
PURE UUID: 3647c2fb-37de-4fc9-9765-642b36697a13
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Date deposited: 03 May 2011 13:45
Last modified: 15 Mar 2024 02:48
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Contributors
Author:
S. Oliver
Author:
A.M. Bagnall
Author:
J. Thomas
Author:
A. Sowden
Author:
I. White
Author:
J. Dinnes
Author:
R. Rees
Author:
K. Oliver
Author:
Z. Garrett
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