Christine Ha
University of Alberta
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Publication
Featured researches published by Christine Ha.
PLOS ONE | 2014
María Angélica Ospina; Bruno R. da Costa; Matthias Egger; Humam Saltaji; Jorge Fuentes; Christine Ha; Greta G. Cummings
Objectives To test the inter-rater reliability of the RoB tool applied to Physical Therapy (PT) trials by comparing ratings from Cochrane review authors with those of blinded external reviewers. Methods Randomized controlled trials (RCTs) in PT were identified by searching the Cochrane Database of Systematic Reviews for meta-analysis of PT interventions. RoB assessments were conducted independently by 2 reviewers blinded to the RoB ratings reported in the Cochrane reviews. Data on RoB assessments from Cochrane reviews and other characteristics of reviews and trials were extracted. Consensus assessments between the two reviewers were then compared with the RoB ratings from the Cochrane reviews. Agreement between Cochrane and blinded external reviewers was assessed using weighted kappa (κ). Results In total, 109 trials included in 17 Cochrane reviews were assessed. Inter-rater reliability on the overall RoB assessment between Cochrane review authors and blinded external reviewers was poor (κ = 0.02, 95%CI: −0.06, 0.06]). Inter-rater reliability on individual domains of the RoB tool was poor (median κ = 0.19), ranging from κ = −0.04 (“Other bias”) to κ = 0.62 (“Sequence generation”). There was also no agreement (κ = −0.29, 95%CI: −0.81, 0.35]) in the overall RoB assessment at the meta-analysis level. Conclusions Risk of bias assessments of RCTs using the RoB tool are not consistent across different research groups. Poor agreement was not only demonstrated at the trial level but also at the meta-analysis level. Results have implications for decision making since different recommendations can be reached depending on the group analyzing the evidence. Improved guidelines to consistently apply the RoB tool and revisions to the tool for different health areas are needed.
PLOS ONE | 2015
Bruno R. da Costa; Greta G. Cummings; Christine Ha; Jorge Fuentes; Humam Saltaji; Matthias Egger
Objective There is debate on how the methodological quality of clinical trials should be assessed. We compared trials of physical therapy (PT) judged to be of adequate quality based on summary scores from the Physiotherapy Evidence Database (PEDro) scale with trials judged to be of adequate quality by Cochrane Risk of Bias criteria. Design Meta-epidemiological study within Cochrane Database of Systematic Reviews. Methods Meta-analyses of PT trials were identified in the Cochrane Database of Systematic Reviews. For each trial PeDro and Cochrane assessments were extracted from the PeDro and Cochrane databases. Adequate quality was defined as adequate generation of random sequence, concealment of allocation, and blinding of outcome assessors (Cochrane criteria) or as trials with a PEDro summary score ≥5 or ≥6 points. We combined trials of adequate quality using random-effects meta-analysis. Results Forty-one Cochrane reviews and 353 PT trials were included. All meta-analyses included trials with PEDro scores ≥5, 37 (90.2%) included trials with PEDro scores ≥6 and only 22 (53.7%) meta-analyses included trials of adequate quality according to the Cochrane criteria. Agreement between PeDro and Cochrane was poor for PeDro scores of ≥5 points (kappa = 0.12; 95% CI 0.07 to 0.16) and slight for ≥6 points (kappa 0.24; 95% CI 0.16-0.32). When combining effect sizes of trials deemed to be of adequate quality according to PEDro or Cochrane criteria, we found that a substantial difference in the combined effect size (≥0.15) was evident in 9 (22%) out of the 41 meta-analyses for PEDro cutoff ≥5 and 10 (24%) for cutoff ≥6. Conclusions The PeDro and Cochrane approaches lead to different sets of trials of adequate quality, and different combined treatment estimates from meta-analyses of these trials. A consistent approach to assessing RoB in trials of physical therapy should be adopted.
BMJ Open | 2015
Humam Saltaji; Bruno R. da Costa; Jorge Fuentes; Christine Ha; Greta G. Cummings
Objective To determine if adequacy of randomisation and allocation concealment is associated with changes in effect sizes (ES) when comparing physical therapy (PT) trials with and without these methodological characteristics. Design Meta-epidemiological study. Participants A random sample of randomised controlled trials (RCTs) included in meta-analyses in the PT discipline were identified. Intervention Data extraction including assessments of random sequence generation and allocation concealment was conducted independently by two reviewers. To determine the association between sequence generation, and allocation concealment and ES, a two-level analysis was conducted using a meta-meta-analytic approach. Primary and secondary outcome measures association between random sequence generation and allocation concealment and ES in PT trials. Results 393 trials included in 43 meta-analyses, analysing 44 622 patients contributed to this study. Adequate random sequence generation and appropriate allocation concealment were accomplished in only 39.7% and 11.5% of PT trials, respectively. Although trials with inappropriate allocation concealment tended to have an overestimate treatment effect when compared with trials with adequate concealment of allocation, the difference was non-statistically significant (ES=0.12; 95% CI −0.06 to 0.30). When pooling our results with those of Nuesch et al, we obtained a pooled statistically significant value (ES=0.14; 95% CI 0.02 to 0.26). There was no difference in ES in trials with appropriate or inappropriate random sequence generation (ES=0.02; 95% CI −0.12 to 0.15). Conclusions Our results suggest that when evaluating risk of bias of primary RCTs in PT area, systematic reviewers and clinicians implementing research into practice should pay attention to these biases since they could exaggerate treatment effects. Systematic reviewers should perform sensitivity analysis including trials with low risk of bias in these domains as primary analysis and/or in combination with less restrictive analyses. Authors and editors should make sure that allocation concealment and random sequence generation are properly reported in trial reports.
American Journal of Physical Medicine & Rehabilitation | 2017
Jorge Fuentes; Bruno R. da Costa; Humam Saltaji; Christine Ha; Greta G. Cummings
Objective The aim of this study was to examine whether blinding of participants, assessors, health providers, and statisticians have an effect on treatment effect estimates in physical therapy (PT) trials. Design This was a meta-epidemiological study. Randomized controlled trials in PT were identified by searching the Cochrane Database of Systematic Reviews for meta-analyses of PT interventions. Assessments of blinding in PT trials were conducted independently following established guidelines. Results Three hundred ninety-three trials and 43 meta-analyses that included 44,622 patients contributed to this study. Only a quarter of the trials were adequately blinded (n = 80; 20%). Most individual components of blinding as well as what they were blinded to were also poorly reported. Although trials with inappropriate blinding of assessors and participants tended to underestimate treatment effects when compared with trials with appropriate blinding of assessors and participants, the difference was not statistically significant (effect size, −0.07; 95% confidence interval, −0.22 to 0.08; effect size, −0.12; 95% confidence interval, −0.30 to 0.06, respectively). Conclusions The lack of statistical significance between blinding and effect sizes should not be interpreted as meaning that an impact of blinding on effect size is not present in PT. More empirical evidence in a larger sample is needed to determine which biases are likely to influence reported effect sizes of PT trials and under which conditions.
Annals of Internal Medicine | 2013
Elizabeth Sumamo Schellenberg; Donna M Dryden; Ben Vandermeer; Christine Ha; Christina Korownyk
Journal of Occupational Rehabilitation | 2016
Douglas P. Gross; William S. Shaw; Kelly Williams-Whitt; Nicola Shaw; Jan Hartvigsen; Ziling Qin; Christine Ha; Linda J. Woodhouse; Ivan A. Steenstra
Physical Therapy | 2014
Greta G. Cummings; Jorge Fuentes; Humam Saltaji; Christine Ha; Annabritt Chisholm; Dion Pasichnyk; Todd Rogers
Archive | 2012
Kai O Wong; Kenneth Bond; Joanne Homik; Janet E Ellsworth; Mohammad Karkhaneh; Christine Ha; Donna M Dryden
Archive | 2012
Kai O Wong; Kenneth Bond; Joanne Homik; Janet E Ellsworth; Mohammad Karkhaneh; Christine Ha; Donna M Dryden
Archive | 2012
Elizabeth Sumamo Schellenberg; Donna M Dryden; Dion Pasichnyk; Christine Ha; Ben Vandermeer; Benjamin W. Friedman; Ian Colman; Brian H. Rowe