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Performance, Detection, Contamination, Compliance, and Cointervention Biases in Rehabilitation Research : What Are They and How Can They Affect the Results of Randomized Controlled Trials? Basic Information for Junior Researchers and Clinicians

  • Bias is a systematic error that can cause distorted results leading to incorrect conclusions. Intervention bias (i.e., contamination bias, cointervention bias, compliance bias, and performance bias) and detection bias are the most common biases in rehabilitation research. A better understanding of these biases is essential at all stages of research to enhance the quality of evidence in rehabilitation trials. Therefore, this narrative review aims to provide insights to the readers, clinicians, and researchers about contamination, cointervention, compliance, performance, and detection biases and ways of recognizing and mitigating them. The literature selected for this review was obtained mainly by compiling the information from several reviews looking at biases in rehabilitation. In addition, separate searches by biases and looking at reference lists of selected studies as well as using Scopus forward citation for relevant references were used. This review provides several strategies to guard against the impact of bias on study results. Clinicians, researchers, and other stakeholders are encouraged to apply these recommendations when designing and conducting rehabilitation trials.

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Author:Susan Armijo-OlivoORCiD, Norazlin MohamadORCiD, Ana Izabela Sobral de Oliveira-SouzaORCiD, Ester Moreira de Castro-CarlettiORCiD, Nikolaus BallenbergerORCiD, Jorge Fuentes
Title (English):Performance, Detection, Contamination, Compliance, and Cointervention Biases in Rehabilitation Research : What Are They and How Can They Affect the Results of Randomized Controlled Trials? Basic Information for Junior Researchers and Clinicians
DOI:https://doi.org/10.1097/PHM.0000000000001893
ISSN:0894-9115
Parent Title (English):American Journal of Physical Medicine & Rehabilitation
Document Type:Article
Language:English
Year of Completion:2022
Release Date:2024/06/13
Volume:101
Issue:9
First Page:864
Last Page:878
Faculties:Fakult├Ąt WiSo
DDC classes:600 Technik, Medizin, angewandte Wissenschaften / 610 Medizin, Gesundheit
Collections:nur Publikationsnachweis
Review Status:Peer Reviewed