caa a22 4500 606179909 CHVBK 20210128100803.0 cr unu---uuuuu 210128e20150801xx s 000 0 eng 10.1007/s11136-015-0916-8 doi (NATIONALLICENCE)springer-10.1007/s11136-015-0916-8 Testing item response theory invariance of the standardized Quality-of-life Disease Impact Scale (QDIS®) in acute coronary syndrome patients: differential functioning of items and test [Elektronische Daten] [Nina Deng, Milena Anatchkova, Molly Waring, Kyung Han, John Ware Jr.] Purpose: The Quality-of-life (QOL) Disease Impact Scale (QDIS®) standardizes the content and scoring of QOL impact attributed to different diseases using item response theory (IRT). This study examined the IRT invariance of the QDIS-standardized IRT parameters in an independent sample. Method: The differential functioning of items and test (DFIT) of a static short-form (QDIS-7) was examined across two independent sources: patients hospitalized for acute coronary syndrome (ACS) in the TRACE-CORE study (N=1,544) and chronically ill US adults in the QDIS standardization sample. "ACS-specific” IRT item parameters were calibrated and linearly transformed to compare to "standardized” IRT item parameters. Differences in IRT model-expected item, scale and theta scores were examined. The DFIT results were also compared in a standard logistic regression differential item functioning analysis. Results: Item parameters estimated in the ACS sample showed lower discrimination parameters than the standardized discrimination parameters, but only small differences were found for thresholds parameters. In DFIT, results on the non-compensatory differential item functioning index (range 0.005-0.074) were all below the threshold of 0.096. Item differences were further canceled out at the scale level. IRT-based theta scores for ACS patients using standardized and ACS-specific item parameters were highly correlated (r=0.995, root-mean-square difference=0.09). Using standardized item parameters, ACS patients scored one-half standard deviation higher (indicating greater QOL impact) compared to chronically ill adults in the standardization sample. Conclusion: The study showed sufficient IRT invariance to warrant the use of standardized IRT scoring of QDIS-7 for studies comparing the QOL impact attributed to acute coronary disease and other chronic conditions. Springer International Publishing Switzerland, 2015 Item response theory invariance nationallicence Differential item functioning nationallicence Differential test (scale) functioning nationallicence Measurement invariance nationallicence Disease-specific quality-of-life measures nationallicence ACS : Acute coronary syndrome nationallicence ACS-LT : ACS-specific linearly transformed nationallicence CAT : Computerized adaptive testing nationallicence CDIF : Compensatory differential item functioning nationallicence CFA : Confirmatory factor analysis nationallicence DFIT : Differential functioning of items and tests nationallicence DICAT : The computerized adaptive Assessment of disease impact project nationallicence DIF : Differential item functioning nationallicence DTF : Differential test (scale) functioning nationallicence GPCM : Generalized partial credit model nationallicence ICC : Item characteristic curve nationallicence IPD : Item parameter drift nationallicence IRT : Item response theory nationallicence MLHFQ : Minnesota Living with Heart Failure Questionnaire nationallicence NCDIF : Non-compensatory differential item functioning nationallicence PRO : Patient-reported outcome nationallicence PROMIS : Patient Reported Outcomes Measurement Information System nationallicence QDIS® : Quality-of-life Disease Impact Scale nationallicence QDIS-7 : 7-item short-form of QDIS® nationallicence QOL : Quality-of-life nationallicence RMSD : Root-mean-square difference nationallicence SAQ : Seattle Angina Questionnaire nationallicence TCC : Test characteristic curve nationallicence TRACE-CORE : The Transitions, Risks, and Actions in Coronary Events-Center for Outcomes Research and Education project nationallicence Deng Nina Department of Quantitative Health Sciences, University of Massachusetts Medical School, 01655, Worcester, MA, USA aut Anatchkova Milena Department of Quantitative Health Sciences, University of Massachusetts Medical School, 01655, Worcester, MA, USA aut Waring Molly Department of Quantitative Health Sciences, University of Massachusetts Medical School, 01655, Worcester, MA, USA aut Han Kyung Graduate Management Admission Council, 20195, Reston, VA, USA aut Ware Jr. John Department of Quantitative Health Sciences, University of Massachusetts Medical School, 01655, Worcester, MA, USA aut Quality of Life Research Springer International Publishing 24/8(2015-08-01), 1809-1822 0962-9343 24:8<1809 2015 24 11136 https://doi.org/10.1007/s11136-015-0916-8 text/html Onlinezugriff via DOI BK010053 XK010053 XK010000 Metadata rights reserved Springer special CC-BY-NC licence nationallicence 1 research-article jats NATIONALLICENCE NATIONALLICENCE NL-springer NATIONALLICENCE 856 40 https://doi.org/10.1007/s11136-015-0916-8 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Deng Nina Department of Quantitative Health Sciences, University of Massachusetts Medical School, 01655, Worcester, MA, USA aut NATIONALLICENCE 700 1- Anatchkova Milena Department of Quantitative Health Sciences, University of Massachusetts Medical School, 01655, Worcester, MA, USA aut NATIONALLICENCE 700 1- Waring Molly Department of Quantitative Health Sciences, University of Massachusetts Medical School, 01655, Worcester, MA, USA aut NATIONALLICENCE 700 1- Han Kyung Graduate Management Admission Council, 20195, Reston, VA, USA aut NATIONALLICENCE 700 1- Ware Jr John Department of Quantitative Health Sciences, University of Massachusetts Medical School, 01655, Worcester, MA, USA aut NATIONALLICENCE 773 0- Quality of Life Research Springer International Publishing 24/8(2015-08-01), 1809-1822 0962-9343 24:8<1809 2015 24 11136