Establishing a common metric for depressive symptoms: linking the BDI-II, CES-D, and PHQ-9 to PROMIS depression.
Establishing a common metric for depressive symptoms: linking the BDI-II, CES-D, and PHQ-9 to PROMIS depression.
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DOI：
10.1037/a0035768
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发表时间：
2014-06
影响因子：
3.6
通讯作者：
Cella D
中科院分区：
文献类型：
--
作者：
Choi SW;Schalet B;Cook KF;Cella D
近几十年来，对测量患者报告结果的兴趣急剧增加。这同时产生了许多评估选择和混乱。在抑郁症状的情况下，有许多常用的选项来测量相同或非常相似的概念。分数的公共和专业报告可能会被多个量表范围、规范水平和临床阈值所混淆。一个共同的报告指标将具有很大的价值，可以实现类似的工具时，管理到一个单一的样本，然后相互联系，以产生交叉评分表（例如，）。采用基于项目反应理论和等百分位数方法的多个程序，我们制作了连接流行病学研究中心抑郁量表这三种流行的"传统"抑郁工具的交叉步行表（; N = 747），Beck抑郁量表-II（N = 748）和9项患者健康问卷（N = 1，120）-美国国立卫生研究院（NIH）患者报告结局测量信息系统（PROMIS）的抑郁指标。PROMIS抑郁指标以美国普通人口为中心，与2000年美国人口普查中性别、年龄、种族和教育的边缘分布相匹配。关联关系的评估通过保留小的子集，并估计置信区间的观察和链接的PROMIS评分之间的差异;此外，抑郁症严重程度的PROMIS截止评分估计对应于那些常用的传统措施。我们的研究结果使临床医生和研究人员能够将现有的3种流行的抑郁指标数据与PROMIS抑郁指标进行改进，反之亦然。
Interest in measuring patient-reported outcomes has increased dramatically in recent decades. This has simultaneously produced numerous assessment options and confusion. In the case of depressive symptoms, there are many commonly used options for measuring the same or a very similar concept. Public and professional reporting of scores can be confused by multiple scale ranges, normative levels, and clinical thresholds. A common reporting metric would have great value and can be achieved when similar instruments are administered to a single sample and then linked to each other to produce cross-walk score tables (e.g.,). Using multiple procedures based on item response theory and equipercentile methods, we produced cross-walk tables linking 3 popular “legacy” depression instruments—the Center for Epidemiologic Studies Depression Scale (; N = 747), the Beck Depression Inventory–II (; N = 748), and the 9-item Patient Health Questionnaire (; N = 1,120)—to the depression metric of the National Institutes of Health (NIH) Patient-Reported Outcomes Measurement Information System (PROMIS). The PROMIS Depression metric is centered on the U.S. general population, matching the marginal distributions of gender, age, race, and education in the 2000 U.S. census. The linking relationships were evaluated by resampling small subsets and estimating confidence intervals for the differences between the observed and linked PROMIS scores; in addition, PROMIS cutoff scores for depression severity were estimated to correspond with those commonly used with the legacy measures. Our results allow clinicians and researchers to retrofit existing data of 3 popular depression measures to the PROMIS Depression metric and vice versa.
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