An introduction to item response theory for patient-reported outcome measurement.
An introduction to item response theory for patient-reported outcome measurement.
复制标题
DOI：
10.1007/s40271-013-0041-0
复制
发表时间：
2014
期刊：
影响因子：
--
通讯作者：
Chan KS
中科院分区：
文献类型：
--
作者：
Nguyen TH;Han HR;Kim MT;Chan KS
对以患者为中心的护理的日益重视加速了对患者报告结果(PRO)测量的高质量数据的需求。传统上，这些措施的开发和验证都是由经典的测试理论指导的。然而，项目反应理论(IRT)，一种替代的测量框架，为解决在健康相关研究中发现的难以通过经典方法解决的实际测量问题提供了希望。本文介绍了项目反应理论的基本概念、常用模型及其假设。对636名回答高血压健康素养量表和患者健康问卷-9的韩裔美国人和越南裔美国成年人的现有数据被用来举例说明IRT的典型应用。这些例子说明了IRT如何用于改进PRO措施的开发、改进和评估。更多地使用基于这一框架的方法可以提高测量PRO的准确性和效率。
The growing emphasis on patient-centered care has accelerated the demand for high-quality data from patient-reported outcome (PRO) measures. Traditionally, the development and validation of these measures has been guided by classical test theory. However, item response theory (IRT), an alternate measurement framework, offers promise for addressing practical measurement problems found in health-related research that have been difficult to solve through classical methods. This paper introduces foundational concepts in IRT, as well as commonly used models and their assumptions. Existing data on a combined sample (n = 636) of Korean American and Vietnamese American adults who responded to the High Blood Pressure Health Literacy Scale and the Patient Health Questionnaire-9 are used to exemplify typical applications of IRT. These examples illustrate how IRT can be used to improve the development, refinement, and evaluation of PRO measures. Greater use of methods based on this framework can increase the accuracy and efficiency with which PROs are measured.