Performance of the Patient-Reported Outcomes Measurement Information System 29-Item Profile in Rheumatoid Arthritis, Osteoarthritis, Fibromyalgia, and Systemic Lupus Erythematosus

Performance of the Patient-Reported Outcomes Measurement Information System 29-Item Profile in Rheumatoid Arthritis, Osteoarthritis, Fibromyalgia, and Systemic Lupus Erythematosus
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DOI:
10.1002/acr.23183
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发表时间:
2017-09-01
影响因子:
4.7
通讯作者:
Michaud, Kaleb
Michaud, Kaleb
中科院分区:
医学2区
文献类型:
--
作者:
Katz, Patricia;Pedro, Sofia;Michaud, Kaleb

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目的开发患者报告结果测量信息系统 (PROMIS) 是为了改进患者报告结果的测量。我们检查了 29 项 PROMIS 概况 (PROMIS-29) 在类风湿性关节炎 (RA)、骨关节炎 (OA)、纤维肌痛 (FM) 和系统性红斑狼疮 (SLE) 患者中的表现。方法国家风湿病数据库的参与者完成了 PROMIS-29,其中包括 7 个 PROMIS 领域的 4 项表格。对量表进行评分并转换为 T 分数。检查了量表分数的分布,测试了收敛和已知群体的有效性,并检查了在线问卷与纸质问卷的分数差异。结果 RA 的样本量为 4,346,OA 为 727,FM 为 241,SLE 为 240。参与者主要为女性,平均病程为 20 年,年龄约为 60 岁。某些 PROMIS-29 秤出现了较大的天花板效应。对于 RA、OA 和 SLE,PROMIS-29 评分与测量相似结构的量表的相关性范围从高到中;对于某些量表,FM 的相关性明显较低。观察到随着疾病严重程度的增加或健康状况的下降,PROMIS-29 评分恶化的一致模式。通过在线问卷与纸质问卷获得的分数差异在 0.3 到 2.2 分之间。结论结果为在这些条件下使用 PROMIS-29 提供了谨慎的支持。 PROMIS-29 4 项静态表格似乎可以识别健康水平之间的差异,并测量与传统问卷测量相似的结构。然而,大的上限效应表明,在量表的坏端测量可能更精确,这可能会限制反应性,并且似乎存在不同给药方式的差异。
ObjectiveThe Patient-Reported Outcomes Measurement Information System (PROMIS) was developed to improve measurement of patient-reported outcomes. We examined performance of the 29-item PROMIS Profile (PROMIS-29) in persons with rheumatoid arthritis (RA), osteoarthritis (OA), fibromyalgia (FM), and systemic lupus erythematosus (SLE).MethodsParticipants in the National Data Bank for Rheumatic Diseases completed the PROMIS-29, which includes 4-item forms for 7 PROMIS domains. Scales were scored and converted to T scores. Distributions of scale scores were examined, convergent and known-groups validity was tested, and differences in scores from online versus paper questionnaires were examined.ResultsSample sizes were 4,346 for RA, 727 for OA, 241 for FM, and 240 for SLE. Participants were predominantly female, with a mean disease duration 20 years, and were ages approximate to 60 years. Large ceiling effects occurred for some PROMIS-29 scales. Correlations of PROMIS-29 scores with scales measuring similar constructs ranged from high to moderate for RA, OA, and SLE; correlations for FM were markedly lower for some scales. Consistent patterns of worsening PROMIS-29 scores with increasing disease severity or declining health status were observed. Differences in scores obtained by online versus paper questionnaires ranged from 0.3 to 2.2 points.ConclusionResults provide guarded support for using the PROMIS-29 in these conditions. The PROMIS-29 4-item static forms appear to identify differences among levels of health and to measure constructs similar to those measured by legacy questionnaires. However, large ceiling effects suggest that measurement may be more precise at the bad ends of the scales, which may limit responsiveness, and differences by mode of administration appear to exist.