期刊
JOURNAL OF RHEUMATOLOGY
卷 41, 期 1, 页码 153-158出版社
J RHEUMATOL PUBL CO
DOI: 10.3899/jrheum.130813
关键词
ITEM RESPONSE THEORY; COMPUTERIZED ADAPTIVE TESTING; PROMIS PHYSICAL FUNCTION; DISABILITY
类别
资金
- NIAMS
Objective. Patient-reported outcome (PRO) questionnaires record health information directly from research participants because observers may not accurately represent the patient perspective. Patient-reported Outcomes Measurement Information System (PROMIS) is a US National Institutes of Health cooperative group charged with bringing PRO to a new level of precision and standardization across diseases by item development and use of item response theory (IRT). Methods. With IRT methods, improved items are calibrated on an underlying concept to form an item bank for a domain such as physical function (PF). The most informative items can be combined to construct efficient instruments such as 10-item or 20-item PF static forms. Each item is calibrated on the basis of the probability that a given person will respond at a given level, and the ability of the item to discriminate people from one another. Tailored forms may cover any desired level of the domain being measured. Computerized adaptive testing (CAT) selects the best items to sharpen the estimate of a person's functional ability, based on prior responses to earlier questions. PROMIS item banks have been improved with experience from several thousand items, and are calibrated on over 21,000 respondents. Results. In areas tested to date, PROMIS PF instruments are superior or equal to Health Assessment Questionnaire and Medical Outcome Study Short Form-36 Survey legacy instruments in clarity, translatability, patient importance, reliability, and sensitivity to change. Conclusion. Precise measures, such as PROMIS, efficiently incorporate patient self-report of health into research, potentially reducing research cost by lowering sample size requirements. The advent of routine IRT applications has the potential to transform PRO measurement.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据