Affiliations 

  • 1 From the Faculty of Economics and Social Sciences, Osnabrück University of Applied Sciences, Osnabrück, Germany (SA-O, AISdO-S, NB); Faculty of Rehabilitation Medicine, Department of Physical Therapy, University of Alberta, Edmonton, Canada (SA-O, NM); Faculty of Health Sciences, Center of Physiotherapy, Universiti Teknologi MARA, Puncak Alam, Malaysia (NM); Graduate Program in Neuropsychiatry and Behavioral Sciences, Federal University of Pernambuco, Pernambuco, Brazil (AISdO-S); Post Graduate Program in Human Movement Sciences, Methodist University of Piracicaba, UNIMEP, Piracicaba, Brazil (EMdC-C); and Clinical Research Lab, Department of Physical Therapy, Catholic University of Maule, Talca, Chile (JF)
Am J Phys Med Rehabil, 2022 Sep 01;101(9):864-878.
PMID: 35978455 DOI: 10.1097/PHM.0000000000001893

Abstract

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.

* Title and MeSH Headings from MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine.