
JAMA Oncology Study Validates Patient-Reported Outcomes
A multicollaborative study conducted for the National Cancer Institute has resulted in a tool called the Common Terminology Criteria for Adverse Events (PRO-CTCAE). PRO-CTCAE can help integrate the patient perspective into adverse event reporting.
With the dynamic shift in healthcare from being provider-centric to patient-centric, stakeholders are warming up to the idea of increasing patient voice and input in clinical models. Patients are actively lending their voice at national meetings and patient advocacy groups are a regular part of round table discussions with clinical and regulatory decision makers. The question though has always been around validating patient feedback and implementing it to improve healthcare outcomes.
Now, a multicollaborative study conducted for the National Cancer Institute has
The study used clinician-reported Eastern Cooperative Oncology Group Performance Status (ECOG PS) and the European Organisation for Research and Treatment of Cancer Core Quality of Life Questionnaire (QLQ-C30) as the primary comparators.
Nearly 90% of participants completed the PRO-CTCAE questionnaire during their first visit and nearly 91% completed it in their second visit. About 17% of participants had an ECOG PS of 2 to 4.
The authors report that while all PRO-CTCAE items had at least 1 correlation in the expected direction with a QLQ-C30 scale, the conceptual domains of the 2 questionnaires did share a strong correlation. Scores for 94 of 124 PRO-CTCAE items were higher in the ECOG PS 2 to 4 vs 0 to 1 group. Test-retest reliability was 0.7 or greater for 36 of 49 prespecified items. Correlations between PRO-CTCAE item changes and corresponding QLQ-C30 scale changes were statistically significant for 27 prespecified items.
“This is a landmark study because patient-reported information has not been used for measuring side effects in cancer research,”
Based on the favorable results of their analysis, the authors believe that PRO-CTCAE is a valid, reliable, and responsive tool that, they predict could be included in clinical trials following additional studies.
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