Literature DB >> 18432494

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

Ecosse L Lamoureux1, Julie F Pallant, Konrad Pesudovs, Alan Tennant, Gwyn Rees, Patricia M O'Connor, Jill E Keeffe.   

Abstract

PURPOSE: To assess if the Impact of Vision Impairment (IVI) is a valid instrument to measure participation in daily activities and rehabilitation in patients with age-related macular degeneration (AMD) and varying levels of visual impairment.
METHODS: Participants, recruited from a public eye hospital and low vision centers, completed the IVI questionnaire. The IVI and its three subscales were assessed for fit to the Rasch model. Unidimensionality, item fit, response category performance, and targeting of items to patients were assessed. Confirmatory factor analysis (CFA) was used to assess the three-factor model of the IVI in this sample of AMD patients.
RESULTS: 219 patients (mean +/- SD age = 83.5 +/- 7.4 yr) were recruited. Of these, 22%, 55% and 23% had mild (< 6/12-6/18), moderate (< 6/18-6/60) and severe (< 6/60) vision loss, respectively. The IVI total and three subscales displayed discrete thresholds indicating that the respondents understood the response categories. The IVI items fitted the scale and unidimensionality was established. Person separation reliability for the IVI score was substantial (0.94) indicating that the scale can discriminate between several groups of AMD patients. The IVI items were significantly targeted to the AMD patients with the means of the two distributions shown to be very close (0.0 and 0.1, respectively). Substantial targeting was also evident for the subscales. Poorer visual acuity was significantly associated (ANOVA; F (2, 216) = 23.4; p < 0.001) with greater restriction of participation suggesting that the IVI has substantial construct validity. CFA supported the IVI three-factor model which includes items from the "emotional well-being, "reading and accessing information" and "mobility and independence" subscales.
CONCLUSIONS: Clinicians and researchers can reliably use the IVI to assess the impact on daily life and the effectiveness of clinical trials and rehabilitation interventions in patients with AMD across a range of vision loss.

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Year:  2008        PMID: 18432494     DOI: 10.1080/09286580701840354

Source DB:  PubMed          Journal:  Ophthalmic Epidemiol        ISSN: 0928-6586            Impact factor:   1.648


  11 in total

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

Authors:  Eva K Fenwick; Ryan E K Man; Gwyn Rees; Jill Keeffe; Tien Y Wong; Ecosse L Lamoureux
Journal:  Qual Life Res       Date:  2016-08-24       Impact factor: 4.147

2.  Is the pediatric quality of life inventory valid for use in preschool children with refractive errors?

Authors:  Ecosse L Lamoureux; Manjula Marella; Benjamin Chang; Mohamed Dirani; Au Eong Kah-Guan; Audrey Chia; Terry L Young; Tien Y Wong; Seang Mei Saw
Journal:  Optom Vis Sci       Date:  2010-11       Impact factor: 1.973

3.  Association of vision loss in glaucoma and age-related macular degeneration with IADL disability.

Authors:  Chad Hochberg; Eugenio Maul; Emilie S Chan; Suzanne Van Landingham; Luigi Ferrucci; David S Friedman; Pradeep Y Ramulu
Journal:  Invest Ophthalmol Vis Sci       Date:  2012-05-31       Impact factor: 4.799

4.  An augmented-reality edge enhancement application for Google Glass.

Authors:  Alex D Hwang; Eli Peli
Journal:  Optom Vis Sci       Date:  2014-08       Impact factor: 1.973

5.  Feasibility of the Dutch ICF Activity Inventory: a pilot study.

Authors:  Janna E Bruijning; Ruth M A van Nispen; Ger H M B van Rens
Journal:  BMC Health Serv Res       Date:  2010-11-26       Impact factor: 2.655

Review 6.  Patient reported outcome measures for visual impairment after stroke: a systematic review.

Authors:  Lauren R Hepworth; Fiona J Rowe; Robert Harper; Kathryn Jarvis; Tracey Shipman; Helen Rodgers
Journal:  Health Qual Life Outcomes       Date:  2015-09-15       Impact factor: 3.186

7.  Longitudinal observation, evaluation and interpretation of coping with mental (emotional) health in low vision rehabilitation using the Dutch ICF Activity Inventory.

Authors:  Janna E Bruijning; Ger van Rens; Mark Fick; Dirk L Knol; Ruth van Nispen
Journal:  Health Qual Life Outcomes       Date:  2014-12-24       Impact factor: 3.186

Review 8.  How does age-related macular degeneration affect real-world visual ability and quality of life? A systematic review.

Authors:  Deanna J Taylor; Angharad E Hobby; Alison M Binns; David P Crabb
Journal:  BMJ Open       Date:  2016-12-02       Impact factor: 2.692

9.  Utility values for age-related macular degeneration patients in Korea.

Authors:  Seulggie Choi; Sang Min Park; Donghyun Jee
Journal:  PLoS One       Date:  2018-07-31       Impact factor: 3.240

10.  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

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