title: An item bank was created to improve the measurement of cancer-related fatigue.
abstract: OBJECTIVE
  Cancer-related fatigue (CRF) is one of the most common unrelieved symptoms experienced by patients. CRF is underrecognized and undertreated due to a lack of clinically sensitive instruments that integrate easily into clinics. Modern computerized adaptive testing (CAT) can overcome these obstacles by enabling precise assessment of fatigue without requiring the administration of a large number of questions. A working item bank is essential for development of a CAT platform. The present report describes the building of an operational item bank for use in clinical settings with the ultimate goal of improving CRF identification and treatment.
  
  
  METHODS
  The sample included 301 cancer patients. Psychometric properties of items were examined by using Rasch analysis, an Item Response Theory (IRT) model.
  
  
  CONCLUSIONS
  The final bank includes 72 items. These 72 unidimensional items explained 57.5% of the variance, based on factor analysis results. Excellent internal consistency (alpha=0.99) and acceptable item-total correlation were found (range: 0.51-0.85). The 72 items covered a reasonable range of the fatigue continuum. No significant ceiling effects, floor effects, or gaps were found. A sample short form was created for demonstration purposes. The resulting bank is amenable to the development of a CAT platform.
authors.affiliation: Evanston Northwestern Healthcare, 1001 University Place, #100, Evanston, IL 60201, USA. js-Lai@northwestern.edu
authors.forename: Jin-Shei
authors.initials: JS
authors.lastname: Lai
authors.forename: David
authors.initials: D
authors.lastname: Cella
authors.forename: Kelly
authors.initials: K
authors.lastname: Dineen
authors.forename: Rita
authors.initials: R
authors.lastname: Bode
authors.forename: Jamie
authors.initials: J
authors.lastname: Von Roenn
authors.forename: Richard C
authors.initials: RC
authors.lastname: Gershon
authors.forename: Daniel
authors.initials: D
authors.lastname: Shevrin
mesh_terms: D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D005163:Factor Analysis, Statistical; D005221:Fatigue / Q000209:etiology* / Q000523:psychology; D005260:Female; D006801:Humans; D008297:Male; D008875:Middle Aged; D009369:Neoplasms / Q000150:complications* / Q000523:psychology; D011594:Psychometrics; D011795:Surveys and Questionnaires