Presenting comparative study PRO results to clinicians and researchers: beyond the eye of the beholder View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2018-01

AUTHORS

Michael Brundage, Amanda Blackford, Elliott Tolbert, Katherine Smith, Elissa Bantug, Claire Snyder, PRO Data Presentation Stakeholder Advisory Board (various names and locations)

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. More... »

PAGES

75-90

References to SciGraph publications

  • 2010-04. Assessing the use of health-related quality of life measures in the routine clinical care of lung-transplant patients in QUALITY OF LIFE RESEARCH
  • 2001-01. Oncologists' use of quality of life information: Results of a survey of Eastern Cooperative Oncology Group physicians in QUALITY OF LIFE RESEARCH
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  • 1994-08. Research on health-related quality of life: dissemination into practical applications in QUALITY OF LIFE RESEARCH
  • 2015-10. Communicating patient-reported outcome scores using graphic formats: results from a mixed-methods evaluation in QUALITY OF LIFE RESEARCH
  • 2016-10. Engaging stakeholders to improve presentation of patient-reported outcomes data in clinical practice in SUPPORTIVE CARE IN CANCER
  • 2009-02. The applications of PROs in clinical practice: what are they, do they work, and why? in QUALITY OF LIFE RESEARCH
  • 2011-09. A knowledge translation challenge: clinical use of quality of life data from cancer clinical trials in QUALITY OF LIFE RESEARCH
  • 2015-06. Integrating health-related quality of life findings from randomized clinical trials into practice: an international study of oncologists’ perspectives in QUALITY OF LIFE RESEARCH
  • 2012-10. Implementing patient-reported outcomes assessment in clinical practice: a review of the options and considerations in QUALITY OF LIFE RESEARCH
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/s11136-017-1710-6

    DOI

    http://dx.doi.org/10.1007/s11136-017-1710-6

    DIMENSIONS

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    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/29098606


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