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

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

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

2 Scopus citations

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.

Original languageEnglish (US)
Pages (from-to)797-811
Number of pages15
JournalQuality of Life Research
Volume32
Issue number3
DOIs
StatePublished - Mar 2023

Funding

Work on this manuscript was supported by grant number R21DK12121092 (PIs Carlozzi; Mitchel [admin]) from the National Institutes of Health (NIH), National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK), as well as by UL1TR00240 from the National Center for Advancing Translational Sciences (this funding supports co-author J.P. Troost).

Keywords

  • Healthcare
  • Outcomes assessment
  • Patient-reported outcome measures
  • Social determinants of health
  • Type 2 diabetes mellitus

ASJC Scopus subject areas

  • Public Health, Environmental and Occupational Health

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