Validity and reliability evaluation of proctcae(tm) for adult diffuse gliomas patient in chinese population. (veronica): a preliminary delphi study

NEURO-ONCOLOGY(2022)

引用 0|浏览19
暂无评分
摘要
Abstract OBJECTIVES Given the increasing importance of patient’s perspective in adverse events reporting, Patient-Reported Outcomes version of the Common Terminology Criteria for Adverse Events (PRO-CTCAE™) has been proposed as new PRO measures in oncology; however, its implementation has not yet been evaluated in glioma patients, and standardized selection process of priority symptom terms has not been applied. METHODS A total of 16 experts (13 neurosurgeons, 2 radiotherapists, 1 psychiatrist) from 14 medical centers in China were invited to participate in a consensus-seeking 2-round online Delphi survey. Participants rated the level of their agreement with each symptom term likely to occur during adult diffuse gliomas treatment on a 5-point Likert scale. Terms not reaching consensus over the first round were modified in the second rounds. Consensus was defined as content validity index (CVI) > 0.78,coefficient of variation (CV)< 0.35 and average Likert score > 3.00. RESULTS Experts reached a consensus on 21 PRO-CTCAE™ symptom terms in the first Delphi round, and 10 terms in the second round. Likert scale scoring among all experts showed significant consistency (Round 1: Kendall’s W= 0.415,p<0.001; Round 2: Kendall’s W = 0.351,P<0.001). The 31 terms (38.75%) screened out of all 78 terms covered neurological symptoms(n=7), psychiatric symptoms(n=6), dermatological symptoms(n=6), gastrointestinal symptoms(n=5) and other common postoperative systemic symptoms of glioma patients. CONCLUSIONS We identified a customized PRO-CTCAE™ questionnaire containing a core set of priority symptom terms for the adult diffuse glioma through a 2-round Delphi survey. Next, a prospective, multi-center, real-word study would be performed to assess the validity, reliability and responsiveness of the customized PRO-CTCAE™ for adult diffuse glioma patients in Chinese population (VERONICA).
更多
查看译文
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要