Abstract
Objective: To develop a Disease and treatment associated Knowledge in RA item bank (DataK-RA) based on item response theory.
Methods: Initial items were developed from a systematic review. Rheumatology professionals identified relevant content trough a RAND modified Delphi scoring procedure and consensus meeting. RA patients provided additional content trough a focus group. Patients and professionals rated readability, feasibility and comprehensiveness of resulting items. Cross-sectional data were collected to evaluate psychometric properties of the items.
Results: Data of 473 patients were used for item reduction and calibration. Twenty items were discarded based on corrected item-total point biserial correlation <0.30. Confirmatory factor analysis with weighted least squares estimation on the polychoric correlation matrix suggested good fit for a unidimensional model for the remaining 42 items (CFI 0.97 TLI = 0.97, RMSEA = 0.02, WRMR = 0.97), supporting the proposed scoring procedure. Scores were highly reliable and normally distributed with minimal ceiling (1.8%) and no floor effects. 75% of tested hypotheses about the association of DataK-RA scores with related constructs were supported, indicating good construct validity.
Conclusion: DataK-RA is a psychometrically sound item bank. Practice implications: DataK-RA provides health professionals and researchers with a tool to identify and target patients’ information needs or to assess effects of educational efforts.
Original language | English |
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Pages (from-to) | 67-73 |
Number of pages | 7 |
Journal | Patient education and counseling |
Volume | 101 |
Issue number | 1 |
Early online date | 21 Jul 2017 |
DOIs | |
Publication status | Published - 1 Jan 2018 |
Keywords
- Item response theory
- Item bank
- Measurement instrument
- (Patient) education
- (Patient) knowledge
- Personalized healthcare
- Quality indicator
- Rheumatoid arthritis