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Development of symptom assessments utilising item response theory and computer-adaptive testing—A practical method based on a systematic review
- Source :
-
Critical Reviews in Oncology/Hematology . Jan2010, Vol. 73 Issue 1, p47-67. 21p. - Publication Year :
- 2010
-
Abstract
- Abstract: Assessment of individual patients’ distress is a cornerstone of clinical care for advanced cancer. Patients’ ability to fill out lengthy questionnaires is compromised by many factors. Computer-adaptive tests (CAT) offer a promising approach to developing tailored instruments, that administer only items relevant to the individual patient. A systematic review of the literature about CATs in medical databases was conducted. Based on the results, a method for developing a CAT was designed that requires nine steps: (1) build an item pool; (2) administer the items to a predefined sample in a calibration study; (3) eliminate inappropriate items; (4) examine whether all items are influenced by a single dominant trait; (5) calibrate the items to the best-fitting item response theory (IRT) model; (6) evaluate items’ parameter equivalence across subgroups; (7) build an item bank with the calibrated items; (8) develop the CAT; and (9) pilot test the developed CAT. CAT offers the chance to extend the usefulness of patient-reported outcome (PRO) measurements from clinical studies to daily clinical practice. [Copyright &y& Elsevier]
Details
- Language :
- English
- ISSN :
- 10408428
- Volume :
- 73
- Issue :
- 1
- Database :
- Academic Search Index
- Journal :
- Critical Reviews in Oncology/Hematology
- Publication Type :
- Academic Journal
- Accession number :
- 46750131
- Full Text :
- https://doi.org/10.1016/j.critrevonc.2009.03.007