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Principles and framework for assessing the risk of bias for studies included in comparative quantitative environmental systematic reviews

Principles and framework for assessing the risk of bias for studies included in comparative quantitative environmental systematic reviews
Principles and framework for assessing the risk of bias for studies included in comparative quantitative environmental systematic reviews
The internal validity of conclusions about effectiveness or impact in systematic reviews, and of decisions based on them, depends on risk of bias assessments being conducted appropriately. However, a random sample of 50 recently-published articles claiming to be quantitative environmental systematic reviews found 64% did not include any risk of bias assessment, whilst nearly all that did omitted key sources of bias. Other limitations included lack of transparency, conflation of quality constructs, and incomplete application of risk of bias assessments to the data synthesis. This paper addresses deficiencies in risk of bias assessments by highlighting core principles that are required for risk of bias assessments to be fit-for-purpose, and presenting a framework based on these principles to guide review teams on conducting risk of bias assessments appropriately and consistently. The core principles require that risk of bias assessments be Focused, Extensive, Applied and Transparent (FEAT). These principles support risk of bias assessments, appraisal of risk of bias tools, and the development of new tools. The framework follows a Plan-Conduct-Apply-Report approach covering all stages of risk of bias assessment. The scope of this paper is comparative quantitative environmental systematic reviews which address PICO or PECO-type questions including, but not limited to, topic areas such as environmental management, conservation, ecosystem restoration, and analyses of environmental interventions, exposures, impacts and risks.
Bias, Blinding, Critical appraisal, External validity, Internal validity, Quality assessment, Risk of bias, Systematic error, Validity
2047-2382
Frampton, Geoff
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Whaley, Paul
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Bennett, Micah
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Bilotta, Gary
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Dorne, Jean-Lou CM
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Eales, Jacqualyn
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James, Katy
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Kohl, Christian
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Land, Magnus
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Livoreil, Barbara
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Makowski, David
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Muchiri, Evans
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Petrokofsky, Gillian
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Randall, Nicola
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Schofield, Kate
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Frampton, Geoff
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Whaley, Paul
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Bennett, Micah
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Bilotta, Gary
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Dorne, Jean-Lou CM
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Eales, Jacqualyn
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James, Katy
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Kohl, Christian
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Land, Magnus
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Livoreil, Barbara
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Makowski, David
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Muchiri, Evans
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Petrokofsky, Gillian
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Randall, Nicola
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Schofield, Kate
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Frampton, Geoff, Whaley, Paul, Bennett, Micah, Bilotta, Gary, Dorne, Jean-Lou CM, Eales, Jacqualyn, James, Katy, Kohl, Christian, Land, Magnus, Livoreil, Barbara, Makowski, David, Muchiri, Evans, Petrokofsky, Gillian, Randall, Nicola and Schofield, Kate (2022) Principles and framework for assessing the risk of bias for studies included in comparative quantitative environmental systematic reviews. Environmental Evidence, 11 (1), [12]. (doi:10.1186/s13750-022-00264-0).

Record type: Article

Abstract

The internal validity of conclusions about effectiveness or impact in systematic reviews, and of decisions based on them, depends on risk of bias assessments being conducted appropriately. However, a random sample of 50 recently-published articles claiming to be quantitative environmental systematic reviews found 64% did not include any risk of bias assessment, whilst nearly all that did omitted key sources of bias. Other limitations included lack of transparency, conflation of quality constructs, and incomplete application of risk of bias assessments to the data synthesis. This paper addresses deficiencies in risk of bias assessments by highlighting core principles that are required for risk of bias assessments to be fit-for-purpose, and presenting a framework based on these principles to guide review teams on conducting risk of bias assessments appropriately and consistently. The core principles require that risk of bias assessments be Focused, Extensive, Applied and Transparent (FEAT). These principles support risk of bias assessments, appraisal of risk of bias tools, and the development of new tools. The framework follows a Plan-Conduct-Apply-Report approach covering all stages of risk of bias assessment. The scope of this paper is comparative quantitative environmental systematic reviews which address PICO or PECO-type questions including, but not limited to, topic areas such as environmental management, conservation, ecosystem restoration, and analyses of environmental interventions, exposures, impacts and risks.

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Accepted/In Press date: 5 March 2022
Published date: 29 March 2022
Additional Information: Funding Information: We thank Emma Lavoie and Laura Dishaw, US Environmental Protection Agency (EPA), for commenting on a draft version of this paper. We also thank two reviewers for providing helpful and insightful comments on a draft version of the manuscript. The views expressed in this paper are those of the authors and may not reflect those of the authors? institutions. JLCMD declares that the views in this publication do not necessarily represent those of European Food Safety Authority and are the authors? only. M Bennett and K Schofield declare that the views expressed in this article are those of the authors and do not necessarily represent the views or policies of the U.S. EPA. Any mention of trade names, products, or services does not imply an endorsement by the U.S. Government or the U.S. EPA. Publisher Copyright: © 2022, The Author(s). Copyright: Copyright 2022 Elsevier B.V., All rights reserved.
Keywords: Bias, Blinding, Critical appraisal, External validity, Internal validity, Quality assessment, Risk of bias, Systematic error, Validity

Identifiers

Local EPrints ID: 456437
URI: http://eprints.soton.ac.uk/id/eprint/456437
ISSN: 2047-2382
PURE UUID: 1ba34f10-eb99-4796-a902-706cc59b4e44
ORCID for Geoff Frampton: ORCID iD orcid.org/0000-0003-2005-0497

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Date deposited: 28 Apr 2022 16:49
Last modified: 17 Mar 2024 02:38

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Contributors

Author: Geoff Frampton ORCID iD
Author: Paul Whaley
Author: Micah Bennett
Author: Gary Bilotta
Author: Jean-Lou CM Dorne
Author: Jacqualyn Eales
Author: Katy James
Author: Christian Kohl
Author: Magnus Land
Author: Barbara Livoreil
Author: David Makowski
Author: Evans Muchiri
Author: Gillian Petrokofsky
Author: Nicola Randall
Author: Kate Schofield

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