Ayorinde, Abimbola, Williams , Iestyn, Mannion, Russell, Song, Fujian, Skrybant, Magdalena, Lilford, Richard and Chen, Yen-Fu (2020) Data for Assessment of publication bias and outcome reporting bias in systematic reviews of health services and delivery research : a meta-epidemiological study. [Dataset]

Microsoft Excel (Data file) PLOS ONE_Data File_publication and outcome reporting bias in HSDR reviews.xls - Published Version Available under License Creative Commons Attribution 4.0. Download (474Kb)

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Abstract

Strategies to identify and mitigate publication bias and outcome reporting bias are frequently adopted in systematic reviews of clinical interventions but it is not clear how often these are applied in systematic reviews relating to quantitative health services and delivery research (HSDR). We examined whether these biases are mentioned and/or otherwise assessed in HSDR systematic reviews, and evaluated associating factors to inform future practice. We randomly selected 200 quantitative HSDR systematic reviews published in the English language from 2007-2017 from the Health Systems Evidence database (www.healthsystemsevidence.org). We extracted data on factors that may influence whether or not authors mention and/or assess publication bias or outcome reporting bias. We found that 43% (n = 85) of the reviews mentioned publication bias and 10% (n = 19) formally assessed it. Outcome reporting bias was mentioned and assessed in 17% (n = 34) of all the systematic reviews. Insufficient number of studies, heterogeneity and lack of pre-registered protocols were the most commonly reported impediments to assessing the biases. In multivariable logistic regression models, both mentioning and formal assessment of publication bias were associated with: inclusion of a meta-analysis; being a review of intervention rather than association studies; higher journal impact factor, and; reporting the use of systematic review guidelines. Assessment of outcome reporting bias was associated with: being an intervention review; authors reporting the use of Grading of Recommendations, Assessment, Development and Evaluations (GRADE), and; inclusion of only controlled trials. Publication bias and outcome reporting bias are infrequently assessed in HSDR systematic reviews. This may reflect the inherent heterogeneity of HSDR evidence and different methodological approaches to synthesising the evidence, lack of awareness of such biases, limits of current tools and lack of pre-registered study protocols for assessing such biases. Strategies to help raise awareness of the biases, and methods to minimise their occurrence and mitigate their impacts on HSDR systematic reviews, are needed.

Item Type:	Dataset
Subjects:	R Medicine > R Medicine (General) R Medicine > RA Public aspects of medicine
Divisions:	Faculty of Science, Engineering and Medicine > Medicine > Warwick Medical School
Type of Data:	Assessment of publication data and systematic reviews
Library of Congress Subject Headings (LCSH):	Systematic reviews (Medical research), Medical care -- Evaluation -- Case studies, Medical care -- Quality control
Publisher:	Warwick Medical School, University of Warwick
Official Date:	9 January 2020
Dates:	Date Event 9 January 2020 Published December 2018 Completion
Status:	Not Peer Reviewed
Publication Status:	Published
Media of Output (format):	.xls
Access rights to Published version:	Open Access (Creative Commons)
Copyright Holders:	University of Warwick
Description:	Excel spreadsheet with column headings
Date of first compliant deposit:	9 January 2020
Date of first compliant Open Access:	9 January 2020
Grant number:	15/71/06
RIOXX Funder/Project Grant:	Project/Grant ID RIOXX Funder Name Funder ID 15/71/06 [NIHR] National Institute for Health Research http://dx.doi.org/10.13039/501100000272
Related URLs:	Related item in WRAP Other
Contributors:	Contribution Name Contributor ID Depositor Ayorinde, Abimbola 79999

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