Swipe om te navigeren naar een ander artikel
The online version of this article (doi:10.1007/s11136-016-1395-2) contains supplementary material, which is available to authorized users.
To develop a psychometrically sound and valid Brief Impact of Vision Impairment (IVI) questionnaire.
Cross-sectional data from four prospective studies (2001–2008) were pooled and randomly divided into development/validation sets (n = 416) each. Items with suboptimal psychometric properties were iteratively removed in the development set to form the Brief IVI. Psychometric properties of the Brief IVI were independently tested in the validation sample. Correlation between person measures from the original and Brief IVI was assessed [Pearson r and intraclass correlation coefficient (ICC)]. Criterion validity was determined by testing the Brief IVI’s ability to discriminate levels of vision impairment (analysis of variance, ANOVA). Responsiveness was tested by comparing the ICC of the original and Brief IVI data obtained pre-/post-intervention.
The 15-item Brief IVI, and its 9-item Visual Functioning and 6-item Emotional Well-being subscales had ordered thresholds, good precision and targeting, unidimensionality, and minimal item misfit (replicated in the validation sample). Brief and original IVI person measures were highly correlated (r = 0.97 and ICC = 0.98, p < 0.001), indicating the Brief IVI provides statistically similar measurement of vision-related quality of life (VRQoL). Brief IVI mean logit scores declined as vision impairment worsened (p = 0.001) demonstrating criterion validity. ICC of the original versus Brief IVI pre-/post-intervention was excellent (0.98), establishing that the Brief IVI was as responsive to changes in VRQoL as the original.
The Brief 15-item IVI can obtain valid and responsive measurement of VRQoL with half the items in the original and has potential to reduce respondent burden in QoL studies.
Log in om toegang te krijgen
Met onderstaand(e) abonnement(en) heeft u direct toegang:
Supplementary material 1 (DOCX 82 kb)11136_2016_1395_MOESM1_ESM.docx
Supplementary material 2 (DOCX 19 kb)11136_2016_1395_MOESM2_ESM.docx
Supplementary material 3 (DOCX 811 kb)11136_2016_1395_MOESM3_ESM.docx
Supplementary material 4 (DOCX 19 kb)11136_2016_1395_MOESM4_ESM.docx
Supplementary material 5 (DOCX 18 kb)11136_2016_1395_MOESM5_ESM.docx
Supplementary material 6 (DOCX 16 kb)11136_2016_1395_MOESM6_ESM.docx
Supplementary material 7 (DOCX 20 kb)11136_2016_1395_MOESM7_ESM.docx
Lamoureux, E. L., Pallant, J. F., Pesudovs, K., et al. (2007). The effectiveness of low-vision rehabilitation on participation in daily living and quality of life. Investigative Ophthalmology & Visual Science, 48(4), 1476–1482. CrossRef
West, S. K., Munoz, B., Rubin, G. S., et al. (1997). Function and visual impairment in a population-based study of older adults. The SEE project. Salisbury Eye Evaluation. Investigative Ophthalmology & Visual Science, 38(1), 72–82.
Rees, G., Tee, H. W., Marella, M., et al. (2010). Vision-specific distress and depressive symptoms in people with vision impairment. Investigative Ophthalmology & Visual Science, 51(6), 2891–2896. CrossRef
U.S. Department of Health and Human Services FDA Center for Drug Evaluation and Research, U.S. Department of Health and Human Services FDA Center for Biologics Evaluation and Research, U.S. Department of Health and Human Services FDA Center for Devices and Radiological Health. (2006). Guidance for industry: Patient-reported outcome measures: Use in medical product development to support labeling claims: Draft guidance. Health and quality of life outcomes, p. 479.
Weih, L. M., Hassell, J. B., & Keeffe, J. (2002). Assessment of the impact of vision impairment. Investigative Ophthalmology & Visual Science, 43(4), 927–935.
Lamoureux, E. L., Pallant, J. F., Pesudovs, K., et al. (2006). The impact of vision impairment questionnaire: An evaluation of its measurement properties using Rasch analysis. Investigative Ophthalmology & Visual Science, 47(11), 4732–4741. CrossRef
Lamoureux, E. L., Pallant, J. F., Pesudovs, K., et al. (2007). The Impact of Vision Impairment questionnaire: An assessment of its domain structure using confirmatory factor analysis and Rasch analysis. Investigative Ophthalmology & Visual Science, 48(3), 1001–1006. CrossRef
Finger, R. P., Fenwick, E., Marella, M., et al. (2011). The impact of vision impairment on vision-specific quality of life in Germany. Investigative Ophthalmology & Visual Science, 52(6), 3613–3619. CrossRef
Gothwal, V. K., Reddy, S. P., Fathima, A., et al. (2013). Assessment of the impact of keratoconus on vision-related quality of life. Investigative Ophthalmology & Visual Science, 54(4), 2902–2910. CrossRef
Ratanasukon, M., Tongsomboon, J., Bhurayanontachai, P., & Jirarattanasopa, P. (2016). The Impact of Vision Impairment (IVI) Questionnaire; Validation of the Thai-Version and the Implementaion on Vision-Related Quality of Life in Thai Rural Community. PLoS One, 11(5), e0155509. CrossRefPubMedPubMedCentral
Turner, R. R., Quittner, A. L., Parasuraman, B. M., et al. (2007). Patient-reported outcomes: Instrument development and selection issues. Value in Health: The Journal of the International Society for Pharmacoeconomics and Outcomes Research, 10(Suppl 2), S86–S93. CrossRef
Rees, G., Xie, J., Holloway, E. E., et al. (2013). Identifying distinct risk factors for vision-specific distress and depressive symptoms in people with vision impairment. Investigative Ophthalmology & Visual Science, 54(12), 7431–7438. CrossRef
Linacre, J. M. (2005). A user’s guide to Winsteps/Ministeps Rasch-model programs. Chicago, IL: MESA Press.
Andrich, D. (1978). Rating formulation for ordered response categories. Psychometrica, 43, 561–573. CrossRef
Bond, T. G., & Fox, C. M. (2001). Applying the Rasch model: Fundamental measurement in the human sciences. London: Lawrence Erlbaum Associates.
Linacre, J. (2002). A user’s guide to Winsteps: Rasch-model computer program. Chicago: Mesa Press.
Baghaei, P. (2008). Local dependency and rasch measures. Rasch Measurement Transactions, 21(3), 1105–1106.
Wright, B. (2003). Rack and stack: Time 1 vs time 2. Rasch Measurement Transactions, 17(1), 905–906.
Chien, T. (2008). Repeated measure designs and rasch. Rasch Measurement Transactions, 22(3), 1171.
Lamoureux, E. L., Pesudovs, K., Thumboo, J., et al. (2009). An evaluation of the reliability and validity of the visual functioning questionnaire (VF-11) using Rasch analysis in an Asian population. Investigative Ophthalmology & Visual Science, 50(6), 2607–2613. CrossRef
Khadka, J., Pesudovs, K., McAlinden, C., et al. (2011). Reengineering the glaucoma quality of life-15 questionnaire with rasch analysis. Investigative Ophthalmology & Visual Science, 52(9), 6971–6977. CrossRef
Gothwal, V. K., Wright, T. A., Lamoureux, E. L., et al. (2010). Activities of Daily Vision Scale: What do the subscales measure? Investigative Ophthalmology & Visual Science, 51(2), 694–700. CrossRef
Petrillo, J., Cano, S. J., McLeod, L. D., et al. (2015). Using classical test theory, item response theory, and Rasch measurement theory to evaluate patient-reported outcome measures: A comparison of worked examples. Value in Health: The Journal of the International Society for Pharmacoeconomics and Outcomes Research, 18(1), 25–34. CrossRef
Meads, D. M., & Bentall, R. P. (2008). Rasch analysis and item reduction of the hypomanic personality scale. Personality and Individual Differences, 44(8), 1772–1783. CrossRef
- Reducing respondent burden: validation of the Brief Impact of Vision Impairment questionnaire
Eva K. Fenwick
Ryan E. K. Man
Tien Y. Wong
Ecosse L. Lamoureux
- Springer International Publishing