Published in:
Open Access
01-01-2018
Presenting comparative study PRO results to clinicians and researchers: beyond the eye of the beholder
Authors:
Michael Brundage, Amanda Blackford, Elliott Tolbert, Katherine Smith, Elissa Bantug, Claire Snyder, PRO Data Presentation Stakeholder Advisory Board (various names and locations)
Published in:
Quality of Life Research
|
Issue 1/2018
Login to get access
Abstract
Purpose
Patient-reported outcome (PRO) results from clinical trials can inform clinical care, but PRO interpretation is challenging. We evaluated the interpretation accuracy and perceived clarity of various strategies for displaying clinical trial PRO findings.
Methods
We conducted an e-survey of oncology clinicians and PRO researchers (supplemented by one-on-one clinician interviews) that randomized respondents to view one of the three line-graph formats (average scores over time for two treatments on four domains): (1) higher scores consistently indicating “better” patient status; (2) higher scores indicating “more” of what was being measured (better for function, worse for symptoms); or (3) normed scores. Two formats displayed proportions changed (pie/bar charts). Multivariate modeling was used to analyze interpretation accuracy and clarity ratings.
Results
Two hundred and thirty-three clinicians and 248 researchers responded; ten clinicians were interviewed. Line graphs with “better” directionality were more likely to be interpreted accurately than “normed” line graphs (OR 1.55; 95% CI 1.01–2.38; p = 0.04). No significant differences were found between “better” and “more” formats. “Better” formatted graphs were also more likely to be rated “very clear” versus “normed” formatted graphs (OR 1.91; 95% CI 1.44–2.54; p < 0.001). For proportions changed, respondents were less likely to make an interpretation error with pie versus bar charts (OR 0.35; 95% CI 0.2–0.6; p < 0.001); clarity ratings did not differ between formats. Qualitative findings informed the interpretation of the survey findings.
Conclusions
Graphic formats for presenting PRO data differ in how accurately they are interpreted and how clear they are perceived to be. These findings will inform the development of best practices for optimally reporting PRO findings.