Application of an Irt Polytomous Model for Measuring Health Related Quality of Life |
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| Authors: | Email author" target="_blank">Antonio?J?Rojas?TejadaEmail author Oscar?M?Lozano?Rojas |
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| Institution: | (1) Department of Rehabilitation Medicine, University of Washington School of Medicine, Seattle, Washington, USA;(2) Department of Medicine, Houston Center for Quality of Care & Utilization Studies, Veterans Affairs Health Services Research & Development Center of Excellence and Section of Health Services Research, Baylor College of Medicine, Houston, TX, USA;(3) QualityMetric Incorporated, Lincoln, RI and Health Assessment Lab, Waltham, MA, USA;(4) Center on Outcomes Research and Education, Evanston Northwestern Healthcare, Northwestern University, Feinberg School of Medicine, Chicago, IL, USA;(5) Buehler Center on Aging, Northwestern University, Feinberg School of Medicine, Chicago, IL, USA;(6) Division of General Internal Medicine, University of Washington School of Medicine, WA, Seattle, USA;(7) Department of Medicine, and RAND Health Program, University of California, Los Angeles, CA, USA;(8) Outcomes Research, Merck & Co., Inc., West Point, PA, USA;(9) The New York Quality Improvement Organization, IPRO, Lake Success, NY, USA;(10) New York State Psychiatric Institute and Research Division, Hebrew Home, Riverdale, NY, USA;(11) Faculty of Medicine, Columbia University Stroud Center, Riverdale, NY, USA;(12) Outcomes Research Branch, National Cancer Institute, Bethesda, MD, USA |
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| Abstract: | Background: The Item Response Theory (IRT) has advantages for measuring Health Related Quality of Life (HRQOL) as opposed to the Classical
Tests Theory (CTT). Objectives: To present the results of the application of a polytomous model based on IRT, specifically, the Rating Scale Model (RSM),
to measure HRQOL with the EORTC QLQ-C30. Methods: 103 terminal cancer patients cared for by the home services of the Servicio Andaluz de Salud (Andalusian Health Service)
(Andalusia, Spain) participated. These patients responded to the adapted Spanish version of the EORTC QLQ-C30. The application
was carried out individually in the patients’ homes. Results: The results show that there is an adequate global fit between the data and the IRT model applied. The analysis of the items
shows that for 31 of the 33 items there is a good fit. The items which measure the general perception of health and the perception
of quality of life present a lack of fit. The study of the response categories of the items (by means of Category Probability
Curves) indicates that all the alternatives work extremely well. Conclusions:The EORTC QLQ-C30 presents good metric qualities, under the RSM, ratifying the feasibility to measure HRQOL already shown
in other studies carried out with CTT. |
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