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Feasibility of Patient Reporting of Symptomatic Adverse Events via the Patient-Reported Outcomes Version of the Common Terminology Criteria for Adverse Events (PRO-CTCAE) in a Chemoradiotherapy Cooperative Group Multicenter Clinical Trial

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Last modified
  • 05/15/2025
Type of Material
Authors
    Ethan Basch, Memorial Sloan Kettering Cancer CenterStephanie L. Pugh, NRG Oncology Statistics & Data Management CenterAmylou C. Dueck, Mayo ClinicSandra A. Mitchell, National Cancer InstituteLawrence Berk, University of South FloridaShannon Fogh, University of California San FranciscoLauren J Rogak, Memorial Sloan Kettering Cancer CenterMarcha Gatewood, Emory UniversityBryce B Reeve, University of North CarolinaTito R Mendoza, University Texas MD Anderson Cancer CenterAnn O'Mara, National Cancer InstituteAndrea Denicoff, National Cancer InstituteLori Minasian, National Cancer InstituteAntonia Bennett, University of North CarolinaAnn Setser, Setser Health Consulting LLCDeborah Schrag, Dana Farber Cancer InstituteKevin Roof, NCORPJoan K Moore, Wellspan Adams Cancer CenterThomas Gergel, Geisinger Medical CenterKevin Stephans, Cleveland Clinical FoundationAndreas Rimner, Memorial Sloan Kettering Cancer CenterAlbert DeNittis, Main Line CCOPDeborah W. Bruner, Emory University
Language
  • English
Date
  • 2017-06-01
Publisher
  • Elsevier
Publication Version
Copyright Statement
  • © 2017 Elsevier Inc.
Final Published Version (URL)
Title of Journal or Parent Work
ISSN
  • 0360-3016
Volume
  • 98
Issue
  • 2
Start Page
  • 409
End Page
  • 418
Grant/Funding Information
  • This project was supported by grants U10CA180822, U10CA180868, U10CA21661, U10CA37422, HHSN261200800043C, and HHSN261201000063C from the National Cancer Institute (NCI).
Supplemental Material (URL)
Abstract
  • Purpose To assess the feasibility of measuring symptomatic adverse events (AEs) in a multicenter clinical trial using the National Cancer Institute's Patient-Reported Outcomes version of the Common Terminology Criteria for Adverse Events (PRO-CTCAE). Methods and Materials Patients enrolled in NRG Oncology's RTOG 1012 (Prophylactic Manuka Honey for Reduction of Chemoradiation Induced Esophagitis-Related Pain during Treatment of Lung Cancer) were asked to self-report 53 PRO-CTCAE items representing 30 symptomatic AEs at 6 time points (baseline; weekly ×4 during treatment; 12 weeks after treatment). Reporting was conducted via wireless tablet computers in clinic waiting areas. Compliance was defined as the proportion of visits when an expected PRO-CTCAE assessment was completed. Results Among 226 study sites participating in RTOG 1012, 100% completed 35-minute PRO-CTCAE training for clinical research associates (CRAs); 80 sites enrolled patients, of which 34 (43%) required tablet computers to be provided. All 152 patients in RTOG 1012 agreed to self-report using the PRO-CTCAE (median age 66 years; 47% female; 84% white). Median time for CRAs to learn the system was 60 minutes (range, 30-240 minutes), and median time for CRAs to teach a patient to self-report was 10 minutes (range, 2-60 minutes). Compliance was high, particularly during active treatment, when patients self-reported at 86% of expected time points, although compliance was lower after treatment (72%). Common reasons for noncompliance were institutional errors, such as forgetting to provide computers to participants; patients missing clinic visits; Internet connectivity; and patients feeling “too sick.” Conclusions Most patients enrolled in a multicenter chemoradiotherapy trial were willing and able to self-report symptomatic AEs at visits using tablet computers. Minimal effort was required by local site staff to support this system. The observed causes of missing data may be obviated by allowing patients to self-report electronically between visits, and by using central compliance monitoring. These approaches are being incorporated into ongoing studies.
Author Notes
  • Corresponding Author Ethan Basch, MD, Lineberger Comprehensive Cancer Center University of North Carolina 170 Manning Drive Chapel Hill, NC 27516 (919) 214-2393 ebasch@med.unc.edu
Keywords
Research Categories
  • Biology, Biostatistics
  • Health Sciences, Oncology

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