Standardizing patient-reported outcomes assessment in cancer clinical trials: A patient-reported outcomes measurement information system initiative

被引:281
|
作者
Garcia, Sofia F.
Cella, David
Clauser, Steven B.
Flynn, Kathryn E.
Lad, Thomas
Lai, Jin-Shei
Reeve, Bryce B.
Smith, Ashley Wilder
Stone, Arthur A.
Weinfurt, Kevin
机构
[1] Evanston NW Healthcare, CORE, Evanston, IL 60201 USA
[2] Northwestern Univ, Feinberg Sch Med, Inst Healthcare Studies, Dept Psychiat & Behav Sci, Evanston, IL 60208 USA
[3] Northwestern Univ, Feinberg Sch Med, Dept Pediat, Evanston, IL 60208 USA
[4] John H Stroger Jr Hosp Cook Cty, Div Hematol Oncol, Chicago, IL USA
[5] NCI, Outcomes Res Branch, Div Canc Control & Populat Sci, Bethesda, MD 20892 USA
[6] Duke Clin Res Inst, Ctr Clin & Genet Econ, Durham, NC USA
[7] Duke Univ, Dept Psychiat & Behav Sci, Durham, NC USA
[8] Duke Univ, Dept Psychol & Neurosci, Durham, NC USA
[9] SUNY Stony Brook, Dept Psychiat & Behav Sci, Stony Brook, NY 11794 USA
关键词
D O I
10.1200/JCO.2007.12.2341
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
Patient-reported outcomes (PROs), such as symptom scales or more broad-based health-related quality-of-life measures, play an important role in oncology clinical trials. They frequently are used to help evaluate cancer treatments, as well as for supportive and palliative oncology care. To be most beneficial, these PROs must be relevant to patients and clinicians, valid, and easily understood and interpreted. The Patient-Reported Outcomes Measurement Information System (PROMIS) Network, part of the National Institutes of Health Roadmap Initiative, aims to improve appreciably how PROs are selected and assessed in clinical research, including clinical trials. PROMIS is establishing a publicly available resource of standardized, accurate, and efficient PRO measures of major self-reported health domains (eg, pain, fatigue, emotional distress, physical function, social function) that are relevant across chronic illnesses including cancer. PROMIS is also developing measures of self-reported health domains specifically targeted to cancer, such as sleep/wake function, sexual function, cognitive function, and the psychosocial impacts of the illness experience (ie, stress response and coping; shifts in self-concept, social interactions, and spirituality). We outline the qualitative and quantitative methods by which PROMIS measures are being developed and adapted for use in clinical oncology research. At the core of this activity is the formation and application of item banks using item response theory modeling. We also present our work in the fatigue domain, including a short-form measure, as a sample of PROMIS methodology and work to date. Plans for future validation and application of PROMIS measures are discussed.
引用
收藏
页码:5106 / 5112
页数:7
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