首页> 外文期刊>Journal of Clinical Epidemiology >Evaluation of a preliminary physical function item bank supported the expected advantages of the Patient-Reported Outcomes Measurement Information System (PROMIS).
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Evaluation of a preliminary physical function item bank supported the expected advantages of the Patient-Reported Outcomes Measurement Information System (PROMIS).

机译:对初步身体功能项目库的评估支持了患者报告的结果测量信息系统(PROMIS)的预期优势。

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OBJECTIVE: The Patient-Reported Outcomes Measurement Information System (PROMIS) was initiated to improve precision, reduce respondent burden, and enhance the comparability of health outcomes measures. We used item response theory (IRT) to construct and evaluate a preliminary item bank for physical function assuming four subdomains. STUDY DESIGN AND SETTING: Data from seven samples (N=17,726) using 136 items from nine questionnaires were evaluated. A generalized partial credit model was used to estimate item parameters, which were normed to a mean of 50 (SD=10) in the US population. Item bank properties were evaluated through Computerized Adaptive Test (CAT) simulations. RESULTS: IRT requirements were fulfilled by 70 items covering activities of daily living, lower extremity, and central body functions. The original item context partly affected parameter stability. Items on upper body function, and need for aid or devices did not fit the IRT model. In simulations, a 10-item CAT eliminated floor and decreased ceiling effects, achieving a small standard error (< 2.2) across scores from 20 to 50 (reliability >0.95 for a representative US sample). This precision was not achieved over a similar range by any comparable fixed length item sets. CONCLUSION: The methods of the PROMIS project are likely to substantially improve measures of physical function and to increase the efficiency of their administration using CAT.
机译:目的:启动患者报告结果测量信息系统(PROMIS),以提高准确性,减轻应答者负担并增强健康结果测量的可比性。我们使用项目响应理论(IRT)来构建和评估具有四个子域的物理功能的初步项目库。研究设计和设置:评估了来自七个样本(N = 17,726)的数据,使用来自九个问卷的136个项目。使用广义的部分信用模型来估计商品参数,在美国人口中,该参数被标准化为平均值50(SD = 10)。通过计算机自适应测试(CAT)模拟评估了物料库属性。结果:IRT要求通过70项项目得以满足,涉及日常生活,下肢和中枢身体功能。原始项目上下文部分影响了参数稳定性。上身功能项目以及需要帮助或设备的物品不符合IRT模型。在模拟中,使用10项CAT消除了地板并降低了天花板效应,在20到50的分数之间实现了较小的标准误差(<2.2)(对于代表性的美国样本,可靠性> 0.95)。通过任何可比较的固定长度项目集,都无法在类似范围内达到这种精度。结论:PROMIS项目的方法可能会大大改善身体机能的测量,并提高使用CAT进行管理的效率。

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