Abstract

BackgroundAssessing the risk of bias of randomized controlled trials (RCTs) is crucial to understand how biases affect treatment effect estimates. A number of tools have been developed to evaluate risk of bias of RCTs; however, it is unknown how these tools compare to each other in the items included. The main objective of this study was to describe which individual items are included in RCT quality tools used in general health and physical therapy (PT) research, and how these items compare to those of the Cochrane Risk of Bias (RoB) tool.MethodsWe used comprehensive literature searches and a systematic approach to identify tools that evaluated the methodological quality or risk of bias of RCTs in general health and PT research. We extracted individual items from all quality tools. We calculated the frequency of quality items used across tools and compared them to those in the RoB tool. Comparisons were made between general health and PT quality tools using Chi-squared tests.ResultsIn addition to the RoB tool, 26 quality tools were identified, with 19 being used in general health and seven in PT research. The total number of quality items included in general health research tools was 130, compared with 48 items across PT tools and seven items in the RoB tool. The most frequently included items in general health research tools (14/19, 74%) were inclusion and exclusion criteria, and appropriate statistical analysis. In contrast, the most frequent items included in PT tools (86%, 6/7) were: baseline comparability, blinding of investigator/assessor, and use of intention-to-treat analysis. Key items of the RoB tool (sequence generation and allocation concealment) were included in 71% (5/7) of PT tools, and 63% (12/19) and 37% (7/19) of general health research tools, respectively.ConclusionsThere is extensive item variation across tools that evaluate the risk of bias of RCTs in health research. Results call for an in-depth analysis of items that should be used to assess risk of bias of RCTs. Further empirical evidence on the use of individual items and the psychometric properties of risk of bias tools is needed.

Highlights

  • Assessing the risk of bias of randomized controlled trials (RCTs) is crucial to understand how biases affect treatment effect estimates

  • The Cochrane Collaboration has lead a shift in the approach to quality assessment, in which the concept of trial quality is linked to the internal validity of the study, namely risk of bias [4]

  • The main objective of the present study was to describe the frequency of individual items included in tools that assess RCT quality in general health and physical therapy (PT) research, and how they compare to items included in the Risk of Bias (RoB) tool [4]

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Summary

Introduction

Assessing the risk of bias of randomized controlled trials (RCTs) is crucial to understand how biases affect treatment effect estimates. The main objective of this study was to describe which individual items are included in RCT quality tools used in general health and physical therapy (PT) research, and how these items compare to those of the Cochrane Risk of Bias (RoB) tool. Randomized controlled trials (RCTs), and systematic reviews (SRs) and meta-analyses of these trials, are considered the gold standard to evaluate the effectiveness of health care interventions. Results of these studies are crucial for informing the implementation of the best treatments to improve patient outcomes and the efficiency of the health care system. There is still inconsistency among researchers on how study quality is defined, and several terms have been used interchangeably in the literature (i.e. quality assessment, methodological quality, risk of bias, critical appraisal, trial quality)

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