An introduction to item response theory for patient-reported outcome measurement

Tam H. Nguyen, Hae Ra Han, Miyong T. Kim, Kitty S. Chan

Research output: Contribution to journalArticle

Abstract

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.

Original languageEnglish (US)
Pages (from-to)23-35
Number of pages13
JournalPatient
Volume7
Issue number1
DOIs
StatePublished - 2014

Fingerprint

Asian Americans
Health Literacy
Patient-Centered Care
Health
Hypertension
Research
Patient Reported Outcome Measures
Data Accuracy
Surveys and Questionnaires

ASJC Scopus subject areas

  • Nursing (miscellaneous)

Cite this

An introduction to item response theory for patient-reported outcome measurement. / Nguyen, Tam H.; Han, Hae Ra; Kim, Miyong T.; Chan, Kitty S.

In: Patient, Vol. 7, No. 1, 2014, p. 23-35.

Research output: Contribution to journalArticle

Nguyen, Tam H. ; Han, Hae Ra ; Kim, Miyong T. ; Chan, Kitty S. / An introduction to item response theory for patient-reported outcome measurement. In: Patient. 2014 ; Vol. 7, No. 1. pp. 23-35.
@article{167f86af4a844ea7a34c4f3c66c3529a,
title = "An introduction to item response theory for patient-reported outcome measurement",
abstract = "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.",
author = "Nguyen, {Tam H.} and Han, {Hae Ra} and Kim, {Miyong T.} and Chan, {Kitty S.}",
year = "2014",
doi = "10.1007/s40271-013-0041-0",
language = "English (US)",
volume = "7",
pages = "23--35",
journal = "Patient",
issn = "1178-1653",
publisher = "Springer Science + Business Media",
number = "1",

}

TY - JOUR

T1 - An introduction to item response theory for patient-reported outcome measurement

AU - Nguyen, Tam H.

AU - Han, Hae Ra

AU - Kim, Miyong T.

AU - Chan, Kitty S.

PY - 2014

Y1 - 2014

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=84899087098&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84899087098&partnerID=8YFLogxK

U2 - 10.1007/s40271-013-0041-0

DO - 10.1007/s40271-013-0041-0

M3 - Article

C2 - 24403095

AN - SCOPUS:84899087098

VL - 7

SP - 23

EP - 35

JO - Patient

JF - Patient

SN - 1178-1653

IS - 1

ER -