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Gepubliceerd in: Quality of Life Research 3/2023

25-10-2022

Development and calibration data for the Illness Burden item bank: a new computer adaptive test for persons with type 2 diabetes mellitus

Auteurs: Suzanne Mitchell, Michael A. Kallen, Jonathan P. Troost, Alexa Bragg, Jessica Martin-Howard, Ioana Moldovan, Jennifer A. Miner, Brian W. Jack, Noelle E. Carlozzi

Gepubliceerd in: Quality of Life Research | Uitgave 3/2023

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Abstract

Purpose

The purpose of this study was to develop a new measure, the Re-Engineered Discharge for Diabetes Computer Adaptive Test (REDD-CAT) Illness Burden item bank, to evaluate the impact that a chronic condition has on independent living, the ability to work (including working at home), social activities, and relationships.

Methods

Semi-structured interviews were used to inform the development of an item pool (47 items) that captured patients’ beliefs about how a diagnosis of type 2 diabetes interferes with different aspects of their lives. The Illness Burden item bank was developed and tested in 225 people with type 2 diabetes mellitus.

Results

No items had sparse response option cells or problems with monotonicity; two items were deleted due to low item-rest correlations. Factor analyses supported the retention of 29 items. With those 29 remaining items, a constrained (common slope) graded response model fit assessment indicated that two items had misfit; they were excluded. No items displayed differential item functioning by age, sex, education, or socio-economic status. The final item bank is comprised of 27 items. Preliminary data supported the reliability (internal consistency and test–retest reliability) and validity (convergent, discriminant, and known-groups) of the new bank.

Conclusion

The Illness Burden item bank can be administered as a computer adaptive test or a 6-item short form. This new measure captures patients’ perceptions of the impact that having type 2 diabetes has on their daily lives; it can be used in conjunction with the REDD-CAT measurement system to evaluate important social determinants of health in persons with type 2 diabetes mellitus.
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Metagegevens
Titel
Development and calibration data for the Illness Burden item bank: a new computer adaptive test for persons with type 2 diabetes mellitus
Auteurs
Suzanne Mitchell
Michael A. Kallen
Jonathan P. Troost
Alexa Bragg
Jessica Martin-Howard
Ioana Moldovan
Jennifer A. Miner
Brian W. Jack
Noelle E. Carlozzi
Publicatiedatum
25-10-2022
Uitgeverij
Springer International Publishing
Gepubliceerd in
Quality of Life Research / Uitgave 3/2023
Print ISSN: 0962-9343
Elektronisch ISSN: 1573-2649
DOI
https://doi.org/10.1007/s11136-022-03282-0

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