2010
DOI: 10.1016/j.critrevonc.2009.03.007
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Development of symptom assessments utilising item response theory and computer-adaptive testing—A practical method based on a systematic review

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Cited by 27 publications
(20 citation statements)
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“…Approaches such as item response theory (IRT) modelling allow for survey respondents to receive differing sets of calibrated question items when measuring a common underlying construct (like health-related quality of life) [13]. Combined with technological advances, this allows for efficient individualised patient surveys though the use of computerised adaptive testing [14]. In clinical populations, CAT may reduce response burden, increase sensitivity to clinically important changes and provide greater precision (reducing sample size requirements) [13].…”
Section: Discussionmentioning
confidence: 99%
“…Approaches such as item response theory (IRT) modelling allow for survey respondents to receive differing sets of calibrated question items when measuring a common underlying construct (like health-related quality of life) [13]. Combined with technological advances, this allows for efficient individualised patient surveys though the use of computerised adaptive testing [14]. In clinical populations, CAT may reduce response burden, increase sensitivity to clinically important changes and provide greater precision (reducing sample size requirements) [13].…”
Section: Discussionmentioning
confidence: 99%
“…However, these fixed-length short-form instruments have drawbacks (e.g., the reduction of questions brings a risk of losing important information that can result in a decline of measurement precision). 6,7 Additionally, because some items are not tailored to patients, the precision of the QoL measure is not maximized, and patients may feel a lack of interest in the QoL measure and stop completing the questionnaire.…”
Section: Introductionmentioning
confidence: 99%
“…23 Combined with technological advances, this allows for efficient individualised patient surveys through the use of computerised adaptive testing. 24 In clinical populations, CAT may reduce response burden, increase sensitivity to clinically important changes and provide greater precision (reducing sample size requirements). 23 Although IRT-driven CAT may be less beneficial where symptoms are being assessed by single survey items, more general computer-aided testing that mimics the normal clinical interview may be successfully used in combination with IRT-based CAT.…”
Section: Modes and Mode Featuresmentioning
confidence: 99%