Abstract
| Original language | English |
|---|---|
| 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
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Development of an item bank to measure factual disease and treatment related knowledge of rheumatoid arthritis patients in the treat to target era. / de Jonge, Marieke J. (Corresponding Author); Voshaar, Martijn A.H. Oude; Huis, Anita M.P.; van de Laar, Mart A.F.J.; Hulscher, Marlies E.J.L.; van Riel, Piet L.C.M.
In: Patient education and counseling, Vol. 101, No. 1, 01.01.2018, p. 67-73.Research output: Contribution to journal › Article › Academic › peer-review
TY - JOUR
T1 - Development of an item bank to measure factual disease and treatment related knowledge of rheumatoid arthritis patients in the treat to target era
AU - de Jonge, Marieke J.
AU - Voshaar, Martijn A.H. Oude
AU - Huis, Anita M.P.
AU - van de Laar, Mart A.F.J.
AU - Hulscher, Marlies E.J.L.
AU - van Riel, Piet L.C.M.
PY - 2018/1/1
Y1 - 2018/1/1
N2 - 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.
AB - 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.
KW - Item response theory
KW - Item bank
KW - Measurement instrument
KW - (Patient) education
KW - (Patient) knowledge
KW - Personalized healthcare
KW - Quality indicator
KW - Rheumatoid arthritis
U2 - 10.1016/j.pec.2017.07.019
DO - 10.1016/j.pec.2017.07.019
M3 - Article
VL - 101
SP - 67
EP - 73
JO - Patient education and counseling
JF - Patient education and counseling
SN - 0738-3991
IS - 1
ER -