Northwestern University Feinberg School of Medicine, Chicago, IL, USA.
University of Texas at Austin, Austin, TX, USA.
Value Health. 2019 May;22(5):537-544. doi: 10.1016/j.jval.2019.02.004.
There is a need for valid self-report measures of core health-related quality of life (HRQoL) domains.
To derive brief, reliable and valid health profile measures from the Patient Reported Outcomes Measurement Information System (PROMIS) item banks.
Literature review, investigator consensus process, item response theory (IRT) analysis, and expert review of scaling results from multiple PROMIS data sets. We developed 3 profile measures ranging in length from 29 to 57 questions. These profiles assess important HRQoL domains with highly informative subsets of items from respective item banks and yield reliable information across mild-to-severe levels of HRQoL experiences. Each instrument assesses the domains of pain interference, fatigue, depression, anxiety, sleep disturbance, physical function, and social function using 4-, 6-, and 8-item short forms for each domain, and an average pain intensity domain score, using a 0-10 numeric rating scale.
With few exceptions, all domain short forms within the profile measures were highly reliable across at least 3 standard deviation (30 T-score) units and were strongly correlated with the full bank scores. Construct validity with ratings of general health and quality of life was demonstrated. Information to inform statistical power for clinical and general population samples is also provided.
Although these profile measures have been used widely, with summary scoring routines published, description of their development, reliability, and initial validity has not been published until this article. Further evaluation of these measures and clinical applications are encouraged.
需要有效的核心健康相关生活质量(HRQoL)领域的自我报告衡量标准。
从患者报告的结果测量信息系统(PROMIS)项目库中得出简短、可靠且有效的健康状况衡量标准。
文献回顾、研究人员共识过程、项目反应理论(IRT)分析以及来自多个 PROMIS 数据集的缩放结果的专家审查。我们开发了 3 种长度从 29 到 57 个问题不等的概况衡量标准。这些概况衡量标准使用来自各自项目库的信息量丰富的项目子集评估重要的 HRQoL 领域,并在轻度至重度 HRQoL 体验水平上提供可靠的信息。每个工具使用每个领域的 4 项、6 项和 8 项简短形式以及平均疼痛强度域评分(使用 0-10 数字评分量表)评估疼痛干扰、疲劳、抑郁、焦虑、睡眠障碍、身体功能和社会功能等领域。
除了少数例外情况外,概况衡量标准中的所有域简短形式在至少 3 个标准差(30 T 评分)单位内均具有高度可靠性,并且与完整的银行评分高度相关。与一般健康和生活质量的评分的结构有效性得到了证明。还提供了有关为临床和一般人群样本提供统计能力的信息。
尽管这些概况衡量标准已经得到广泛应用,并公布了汇总评分例程,但直到本文才对其开发、可靠性和初步有效性进行了描述。鼓励进一步评估这些措施并进行临床应用。