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一种用于矫形患者的下肢身体功能计算机自适应测试仪器。

A lower extremity physical function computerized adaptive testing instrument for orthopaedic patients.

出版信息

Foot Ankle Int. 2012 Apr;33(4):326-35. doi: 10.3113/FAI.2012.0326.

DOI:10.3113/FAI.2012.0326
PMID:22735205
Abstract

BACKGROUND

The aim of this study was to develop a lower extremity (LE) physical function computerized adaptive testing (CAT) instrument based on Patient Reported Outcomes Measurement Information System (PROMIS) physical function items.

METHODS

The PROMIS physical function item bank was administered to adult outpatient orthopaedic patients. Three hundred eighty-two patients presenting with LE disorders were analyzed using item response theory modeling. A LE physical function item bank was developed by distilling relevant and psychometrically sound items from the full PROMIS physical function bank. Real data CAT simulations were conducted to examine specifications for a live CAT.

RESULTS

The LE physical function item bank was sufficiently unidimensional and free of item bias. It demonstrated high reliability along with content and construct validity. The flexible length LE CAT was highly correlated with the full LE instrument and showed uniformly high precision across the entire measurement continuum. The average CAT length was 6 to 7 items when standard error of measurement was 0.3 or less.

CONCLUSION

This LE physical function CAT is a valid, reliable and feasible physical function assessment tool for orthopaedic patients with LE problems that has the potential to reduce patient burden as well as administrative costs associated with data collection.

摘要

背景

本研究旨在基于患者报告的结局测量信息系统(PROMIS)物理功能项目,开发一种下肢(LE)身体功能计算机化自适应测试(CAT)工具。

方法

对成年门诊骨科患者进行 PROMIS 物理功能项目库测试。使用项目反应理论模型对 382 例 LE 疾病患者进行分析。从完整的 PROMIS 物理功能库中提取相关且具有心理测量学意义的项目,以开发 LE 身体功能项目库。通过真实数据 CAT 模拟,检验实时 CAT 的规格。

结果

LE 身体功能项目库具有足够的单维性和无项目偏差。它具有较高的可靠性,以及内容和结构有效性。灵活长度的 LE CAT 与完整的 LE 仪器高度相关,并在整个测量范围内具有均匀的高精度。当测量误差为 0.3 或更小时,平均 CAT 长度为 6 到 7 项。

结论

这种 LE 身体功能 CAT 是一种有效、可靠且可行的 LE 问题骨科患者身体功能评估工具,具有减轻患者负担以及与数据收集相关的管理成本的潜力。

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