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REVIEW  PROBLEMS WITH STATISTICS IN REHABILITATION FROM THE RCTRACK PROJECT Freefree

European Journal of Physical and Rehabilitation Medicine 2020 December;56(6):817-28

DOI: 10.23736/S1973-9087.20.06427-8

Copyright © 2020 EDIZIONI MINERVA MEDICA

language: English

Attrition, missing data, compliance, and related biases in randomized controlled trials of rehabilitation interventions: towards improving reporting and conduct

Susan ARMIJO-OLIVO 1, 2, 3 , Wendy MACHALICEK 4, Ana I. DE OLIVEIRA-SOUZA 1, 5, Liz DENNETT 6, Nikolaus BALLENBERGER 1

1 Faculty of Business and Social Sciences, University of Applied Sciences, Osnabrück, Germany; 2 Department of Physical Therapy, Faculty of Rehabilitation Medicine, Rehabilitation Research Center, Edmonton, AB, Canada; 3 IRCCS Fondazione Don Carlo Gnocchi, Milan, Italy; 4 Special Education and Clinical Sciences, College of Education, University of Oregon, Eugene, OR, USA; 5 Graduate Program in Neuropsychiatry and Behavioral Sciences, Federal University of Pernambuco, Pernambuco, Brazil; 6 Scott Health Sciences Library, University of Alberta, Edmonton, AB, Canada



INTRODUCTION: Attrition, missing data, compliance, and related biases can influence the magnitude of treatment effects in randomized controlled trials (RCTs). It is unclear which items should be considered when reporting and evaluating the influence of these biases in trial reports in the rehabilitation field. The aim was to describe which individual items considering attrition, missing data, compliance, and related biases are included in quality tools used in rehabilitation research. In addition, we aimed to determine whether the existing reporting guidelines, such as the CONSORT and its extensions include all relevant items related to these biases when reporting RCTs in the area of rehabilitation.
EVIDENCE ACQUISITION: Comprehensive literature searches and a systematic approach to identify tools and items looking at attrition, missing data, compliance and related biases in rehabilitation were performed. We extracted individual items linked to these biases from all quality tools. We calculated the frequency of quality items used across tools and compared them to those found in the CONSORT statement and its extensions. A list of items to be potentially added to the CONSORT statement was generated.
EVIDENCE SYNTHESIS: Three new tools to assess the conduct and reporting of trials in the rehabilitation field were found. From these tools, 28 items were used to evaluate the reporting as well as the conduct of trials considering attrition, missing data, compliance, and related biases in the rehabilitation field. However, our team found that some of these items lack specificity in the information required and therefore more research is needed to determine a core set of items used for reporting as well as assessing the risk of bias (RoB) of RCT in the rehabilitation field.
CONCLUSIONS: Although many items have been described by existing tools and the CONSORT statement (and its extensions) that deal with attrition, missing data, compliance, and related biases, several gaps in reporting were identified. It is crucial that future research investigate a core set of items to be used in the field of rehabilitation to facilitate the reporting as well as the conduct of RCTs.


KEY WORDS: Bias; Rehabilitation; Clinical trials as topic

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