Are Biases Related to Attrition, Missing Data, and the Use of Intention to Treat Related to the Magnitude of Treatment Effects in Physical Therapy Trials?: A Meta-Epidemiological Study.

Am J Phys Med Rehabil

From the Faculty of Business and Social Sciences, University of Applied Sciences, Osnabrück, Germany (SA-O); Faculty of Rehabilitation Medicine, Department of Physical Therapy, Rehabilitation Research Center and Faculty of Medicine and Dentistry, University of Alberta, Edmonton, Alberta, Canada (SA-O); Institute of Health Policy, Management and Evaluation, University of Toronto, Toronto, Ontario, Canada (BRdC); Faculty of Rehabilitation Medicine, University of Alberta, Edmonton, Alberta, Canada (CH, JF); Orthodontic Graduate Program, School of Dentistry, University of Alberta, Edmonton, Alberta, Canada (HS); Faculty of Nursing, University of Alberta, Edmonton, Alberta, Canada (GGC); and Clinical Research Lab, Department of Physical Therapy, Catholic University of Maule, Maule, Chile (JF).

Published: June 2022

The objective of this study was to determine the association between biases related to attrition, missing data, and the use of intention to treat and changes in effect size estimates in physical therapy randomized trials. A meta-epidemiological study was conducted. A random sample of randomized controlled trials included in meta-analyses in the physical therapy discipline were identified. Data extraction including assessments of the use of intention to treat principle, attrition-related bias, and missing data was conducted independently by two reviewers. To determine the association between these methodological issues and effect sizes, a two-level analysis was conducted using a meta-meta-analytic approach. Three hundred ninety-three trials included in 43 meta-analyses, analyzing 44,622 patients contributed to this study. Trials that did not use the intention-to-treat principle (effect size = -0.13, 95% confidence interval = -0.26 to 0.01) or that were assessed as having inappropriate control of incomplete outcome data tended to underestimate the treatment effect when compared with trials with adequate use of intention to treat and control of incomplete outcome data (effect size = -0.18, 95% confidence interval = -0.29 to -0.08).Researchers and clinicians should pay attention to these methodological issues because they could provide inaccurate effect estimates. Authors and editors should make sure that intention-to-treat and missing data are properly reported in trial reports.

Download full-text PDF

Source
http://dx.doi.org/10.1097/PHM.0000000000001837DOI Listing

Publication Analysis

Top Keywords

missing data
16
intention treat
16
physical therapy
12
biases attrition
8
attrition missing
8
data intention
8
meta-epidemiological study
8
determine association
8
trials included
8
included meta-analyses
8

Similar Publications

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!