Marieke J de Jonge1, Martijn A H Oude Voshaar2, Anita M P Huis3, Mart A F J van de Laar4, Marlies E J L Hulscher5, Piet L C M van Riel6. 1. Radboud university medical center, Radboud Institute for Health Sciences, IQ healthcare, Nijmegen, The Netherlands. Electronic address: mariekedejonge@hotmail.com. 2. University of Twente, Department of Psychology, Health and Technology, Enschede, The Netherlands. Electronic address: a.h.oudevoshaar@utwente.nl. 3. Radboud university medical center, Radboud Institute for Health Sciences, IQ healthcare, Nijmegen, The Netherlands. Electronic address: anita.huis@radboudumc.nl. 4. University of Twente, Department of Psychology, Health and Technology, Enschede, The Netherlands. Electronic address: m.a.f.j.vandelaar@utwente.nl. 5. Radboud university medical center, Radboud Institute for Health Sciences, IQ healthcare, Nijmegen, The Netherlands. Electronic address: marlies.hulscher@radboudumc.nl. 6. Radboud university medical center, Radboud Institute for Health Sciences, IQ healthcare, Nijmegen, The Netherlands; Bernhoven, Department of Rheumatology, Uden, The Netherlands. Electronic address: piet.vanriel@radboudumc.nl.
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.
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.
Authors: Marieke J Spijk-de Jonge; Martijn A H Oude Voshaar; Lisanne Renskers; Anita M P Huis; Mart A F J van de Laar; Marlies E J L Hulscher; Piet L C M van Riel Journal: Rheumatol Adv Pract Date: 2020-06-17