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Published on: January 7, 2019
Development of computerised adaptive testing (CAT) for the EORTC QLQ-C30 dimensions - general approach and initial
Morten Aa Petersen1, Mogens Groenvold, Neil K Aaronson
1The Research Unit, Department of Palliative Medicine, Bispebjerg Hospital, Copenhagen, Denmark. map01@bbh.regionh.dk
Summary
Developing a computerised adaptive test (CAT) for the EORTC QLQ-C30 enhances health-related quality of life (HRQOL) measurement. This strategy ensures patient-specific testing and comparable scores across cancer patients.
Area of Science:
- Oncology
- Psychometrics
- Health Services Research
Background:
- Health-related quality of life (HRQOL) assessment requires instruments adaptable to individual patients while maintaining score comparability.
- Computerised adaptive testing (CAT) offers a solution by tailoring item selection to patient responses.
- The European Organisation for Research and Treatment of Cancer Quality of Life Group (EORTC QLG) is developing a CAT version of the EORTC QLQ-C30 to leverage existing frameworks and ensure backward compatibility.
Purpose of the Study:
- To outline the EORTC QLG's strategy for developing a CAT for the EORTC QLQ-C30.
- To illustrate the development process using the physical functioning (PF) dimension as an example.
- To create a backward-compatible CAT for assessing HRQOL in cancer patients.
Main Methods:
- A comprehensive strategy involving literature search, item conceptualization, formulation, expert review, patient evaluation, and psychometric analysis.
- Systematic identification and relevance assessment of existing literature items for specific HRQOL dimensions.
- Iterative refinement of item pools through expert and patient feedback.
Main Results:
- An initial literature search yielded 975 potential items for physical functioning.
- After relevance screening and expert review, 51 items were selected for the CAT item pool.
- Expert and patient evaluations led to item revision and further reduction of the item pool.
Conclusions:
- The developed strategy is effective in generating relevant and appropriate item pools for cancer patients.
- The resulting item pools will form the foundation for a backward-compatible CAT.
- This CAT aims to improve the precision and efficiency of HRQOL assessment in cancer clinical trials.

