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An Introduction to Item Response Theory for Patient-Reported Outcome Measurement

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  • Tam Nguyen
  • Hae-Ra Han
  • Miyong Kim
  • Kitty Chan

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. Copyright Springer International Publishing Switzerland 2014

Suggested Citation

  • Tam Nguyen & Hae-Ra Han & Miyong Kim & Kitty Chan, 2014. "An Introduction to Item Response Theory for Patient-Reported Outcome Measurement," The Patient: Patient-Centered Outcomes Research, Springer;International Academy of Health Preference Research, vol. 7(1), pages 23-35, March.
    • Handle: RePEc:spr:patien:v:7:y:2014:i:1:p:23-35
    DOI: 10.1007/s40271-013-0041-0
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    Cited by:

    1. Lynn Murphy Michalopoulos & Melissa Meinhart & Sam Monroe Barton & Jillian Kuhn & Miriam N. Mukasa & Flavia Namuwonge & Candice Feiring & Fred M. Ssewamala, 2019. "Adaptation and Validation of the Shame Questionnaire Among Ugandan Youth Living with HIV," Child Indicators Research, Springer;The International Society of Child Indicators (ISCI), vol. 12(3), pages 1023-1042, June.
    2. Dominik M. Piehlmaier, 2022. "Overconfidence and the adoption of robo-advice: why overconfident investors drive the expansion of automated financial advice," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 8(1), pages 1-24, December.
    3. repec:oup:jecgeo:v:50:y:2023:i:2:p:426-446. is not listed on IDEAS
    4. Piehlmaier, Dominik M. & Stagno, Emanuela & Nagy, Agnes, 2023. "Overconfidence at the time of COVID-19:Does it lead to laxer attitudes?," Social Science & Medicine, Elsevier, vol. 328(C).
    5. Dominik M Piehlmaier & J Jeffrey Inman & Andrew T Stephen & Andrew T Stephen, 2023. "The One-Man Show: The Effect of Joint Decision-Making on Investor Overconfidence," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 50(2), pages 426-446.
    6. Rana Momani, 2018. "Using Item Response Theory to Evaluate Self-directed Learning Readiness Scale," Journal of Educational and Developmental Psychology, Canadian Center of Science and Education, vol. 8(1), pages 1-14, January.
    7. Sha Li & Daniel Yee Tak Fong & Sarah Lai Yin Wan & Bradley McPherson & Esther Yuet Ying Lau & Lixi Huang & Mary Sau Man Ip & Janet Yuen Ha Wong, 2021. "A Short Form of the Chinese Version of the Weinstein Noise Sensitivity Scale through Optimal Test Assembly," IJERPH, MDPI, vol. 18(3), pages 1-10, January.
    8. Vasco Francisco Japissane Cumbe & Claire Greene & Afonso Mazine Tiago Fumo & Hélder Fumo & Dirceu Mabunda & Lídia Chaúque Gouveia & Maria A. Oquendo & Cristiane S. Duarte & Mohsin Sidat & Jair de Jesu, 2022. "Community Health Workers’ Knowledge, Attitudes, and Practices towards Epilepsy in Sofala, Central Mozambique," IJERPH, MDPI, vol. 19(22), pages 1-13, November.
    9. Fuchs, Lisa Elena & Orero, Levi & Apondi, Victoria Atieno & Kipkorir, Lang'at, 2021. "How to stop wasting money in international development: Using a structured group selection approach to counter procedural inefficiency," World Development Perspectives, Elsevier, vol. 24(C).
    10. Sara Fernandes & Guillaume Fond & Xavier Zendjidjian & Pierre Michel & Karine Baumstarck & Christophe Lançon & Ludovic Samalin & Pierre-Michel Llorca & Magali Coldefy & Pascal Auquier & Laurent Boyer , 2022. "Development and Calibration of the PREMIUM Item Bank for Measuring Respect and Dignity for Patients with Severe Mental Illness," Post-Print hal-03649277, HAL.

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