Literature DB >> 27558785

Reducing respondent burden: validation of the Brief Impact of Vision Impairment questionnaire.

Eva K Fenwick1,2,3, Ryan E K Man2, Gwyn Rees1, Jill Keeffe1, Tien Y Wong1,2,4,3, Ecosse L Lamoureux5,6,7.   

Abstract

PURPOSE: To develop a psychometrically sound and valid Brief Impact of Vision Impairment (IVI) questionnaire.
METHODS: 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.
RESULTS: 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.
CONCLUSIONS: 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.

Entities:  

Keywords:  Brief; Quality of life; Questionnaire; Rasch analysis; Reduction; Vision impairment

Mesh:

Year:  2016        PMID: 27558785     DOI: 10.1007/s11136-016-1395-2

Source DB:  PubMed          Journal:  Qual Life Res        ISSN: 0962-9343            Impact factor:   4.147


  34 in total

1.  Classical test theory and item response theory analyses of multi-item scales assessing parents' perceptions of their children's dental care.

Authors:  Ron D Hays; Julie Brown; Lorraine U Brown; Karen L Spritzer; James J Crall
Journal:  Med Care       Date:  2006-11       Impact factor: 2.983

2.  Depression and anxiety in visually impaired older people.

Authors:  Jennifer R Evans; Astrid E Fletcher; Richard P L Wormald
Journal:  Ophthalmology       Date:  2007-02       Impact factor: 12.079

3.  Depression and disability associated with impaired vision: the MoVies Project.

Authors:  B W Rovner; M Ganguli
Journal:  J Am Geriatr Soc       Date:  1998-05       Impact factor: 5.562

4.  Methodological approaches to shortening composite measurement scales.

Authors:  J Coste; F Guillemin; J Pouchot; J Fermanian
Journal:  J Clin Epidemiol       Date:  1997-03       Impact factor: 6.437

5.  The effectiveness of low-vision rehabilitation on participation in daily living and quality of life.

Authors:  Ecosse L Lamoureux; Julie F Pallant; Konrad Pesudovs; Gwyn Rees; Jennifer B Hassell; Jill E Keeffe
Journal:  Invest Ophthalmol Vis Sci       Date:  2007-04       Impact factor: 4.799

6.  Using classical test theory, item response theory, and Rasch measurement theory to evaluate patient-reported outcome measures: a comparison of worked examples.

Authors:  Jennifer Petrillo; Stefan J Cano; Lori D McLeod; Cheryl D Coon
Journal:  Value Health       Date:  2015-01       Impact factor: 5.725

7.  The impact of vision impairment questionnaire: an assessment of its domain structure using confirmatory factor analysis and rasch analysis.

Authors:  Ecosse L Lamoureux; Julie F Pallant; Konrad Pesudovs; Gwyn Rees; Jennifer B Hassell; Jill E Keeffe
Journal:  Invest Ophthalmol Vis Sci       Date:  2007-03       Impact factor: 4.799

8.  Function and visual impairment in a population-based study of older adults. The SEE project. Salisbury Eye Evaluation.

Authors:  S K West; B Munoz; G S Rubin; O D Schein; K Bandeen-Roche; S Zeger; S German; L P Fried
Journal:  Invest Ophthalmol Vis Sci       Date:  1997-01       Impact factor: 4.799

9.  Vision-specific distress and depressive symptoms in people with vision impairment.

Authors:  Gwyneth Rees; Hui Wen Tee; Manjula Marella; Eva Fenwick; Mohamed Dirani; Ecosse L Lamoureux
Journal:  Invest Ophthalmol Vis Sci       Date:  2010-02-17       Impact factor: 4.799

10.  Assessing participation in daily living and the effectiveness of rehabiliation in age related macular degeneration patients using the impact of vision impairment scale.

Authors:  Ecosse L Lamoureux; Julie F Pallant; Konrad Pesudovs; Alan Tennant; Gwyn Rees; Patricia M O'Connor; Jill E Keeffe
Journal:  Ophthalmic Epidemiol       Date:  2008 Mar-Apr       Impact factor: 1.648

View more
  5 in total

1.  Optimizing measurement of vision-related quality of life: a computerized adaptive test for the impact of vision impairment questionnaire (IVI-CAT).

Authors:  Eva K Fenwick; Bao Sheng Loe; Jyoti Khadka; Ryan E K Man; Gwyn Rees; Ecosse L Lamoureux
Journal:  Qual Life Res       Date:  2019-11-09       Impact factor: 4.147

Review 2.  Patient-Reported Outcomes Research in Neuro-Ophthalmology.

Authors:  Lindsey B De Lott; Joshua R Ehrlich
Journal:  J Neuroophthalmol       Date:  2021-06-01       Impact factor: 4.415

3.  Rationale and Methodology of The PopulatION HEalth and Eye Disease PRofile in Elderly Singaporeans Study [PIONEER].

Authors:  Preeti Gupta; Ryan Eyn Kidd Man; Eva K Fenwick; Amudha Aravindhan; Alfred Tl Gan; Sahil Thakur; Bao Lin Pauline Soh; Joanne M Wood; Alex A Black; Angelique Chan; David Ng; Teoh Khim Hean; Edwin Goh; Chong Foong-Fong Mary; Jenny Loo; Ciaran Gerard Forde; Charumathi Sabanayagam; Ching-Yu Cheng; Tien Yin Wong; Ecosse L Lamoureux
Journal:  Aging Dis       Date:  2020-12-01       Impact factor: 6.745

4.  Understanding patient preferences in anti-VEGF treatment options for age-related macular degeneration.

Authors:  Semra Ozdemir; Eric Finkelstein; Jia Jia Lee; Issac Horng Khit Too; Kelvin Yi Chong Teo; Anna Chen Sim Tan; Tien Yin Wong; Gemmy Chui Ming Cheung
Journal:  PLoS One       Date:  2022-08-11       Impact factor: 3.752

5.  Properties of the Impact of Vision Impairment and Night Vision Questionnaires Among People With Intermediate Age-Related Macular Degeneration.

Authors:  Myra B McGuinness; Robert P Finger; Zhichao Wu; Chi D Luu; Fred K Chen; Jenifer J Arnold; Usha Chakravarthy; Wilson J Heriot; Jim Runciman; Robyn H Guymer
Journal:  Transl Vis Sci Technol       Date:  2019-09-11       Impact factor: 3.283

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.