Abstract

Abstract Introduction: Digitalization in clinical trials introduced electronic data collection. Participants in diverse environments can use electronic devices to report their experiences with the drug by completing patient reported outcome assessments (ePROs). Quality of life (QOL) reports describe how a patient feels or functions during a treatment with a new drug. For oncology trials, QOL data is needed to prove the treatment effect and support a labeling claim. Methods: The literature search in the Web of Science for articles containing QOL keyword found ten articles with the highest number of citations. QOL instruments relevant to cancer research were identified based on the literature search. Form completion times corresponding to the cancer-specific instruments were identified and analyzed using a metadata of 948 instruments and 17,234,458 assessment submissions. Results: Three general QOL measures in oncology trials were identified: the EORTC Quality of Life Questionnaire - Core Questionnaire (EORTC QLQ-C30), Functional Assessment of Chronic Illness Therapy - Fatigue (FACIT-F), and SF-36 Health Survey (SF-36). Median times of form completion in seconds (s) increased in the following order: FACIT-F < EORTC QLQ-C30 < SF-36v2 and were equal to 105 s < 213 s < 386 s. Metadata analysis showed that participants spent less than two minutes on completion of the FACIT-F assessment, which is only 18% of the estimated completion time of 10 minutes. Metadata analysis showed that it took participants three and a half minutes to complete the EORTC QLQ-C30 assessment, which is roughly one third of the estimated completion time of 11 minutes. The completion time for SF-36v2 fell within the estimated range of 5 to 10 minutes. Conclusions: Properly selected QOL instruments facilitate collection of the right data for demonstration of a treatment benefit. It is recommended to include a general oncology and a disease specific QOL instrument to show the treatment’s success of improving patient’s QOL. At the same time, the completion of the instruments should not be burdensome considering disease progression characteristic for oncology studies. Citation Format: Jowita Marszewska, Lindsay Hughes. How much time is needed to complete quality of life assessments in oncology trials? - Metadata analysis. [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2023; Part 1 (Regular and Invited Abstracts); 2023 Apr 14-19; Orlando, FL. Philadelphia (PA): AACR; Cancer Res 2023;83(7_Suppl):Abstract nr 4370.

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