June 2017
Volume 58, Issue 8
Open Access
ARVO Annual Meeting Abstract  |   June 2017
The Eye-tem Bank project: an update on development and validation
Author Affiliations & Notes
  • Konrad Pesudovs
    NHMRC Ctr Clin Eye Res/Optometry, Flinders University SA, Adelaide, South Australia, Australia
  • Jyoti Khadka
    NHMRC Ctr Clin Eye Res/Optometry, Flinders University SA, Adelaide, South Australia, Australia
  • Mallika Prem Senthil
    NHMRC Ctr Clin Eye Res/Optometry, Flinders University SA, Adelaide, South Australia, Australia
  • Himal Kandel
    NHMRC Ctr Clin Eye Res/Optometry, Flinders University SA, Adelaide, South Australia, Australia
  • Sheela Evangeline Kumaran
    NHMRC Ctr Clin Eye Res/Optometry, Flinders University SA, Adelaide, South Australia, Australia
  • Eva Fenwick
    SERI, Singapore, Singapore
  • Ecosse Luc Lamoureux
    SERI, Singapore, Singapore
  • Footnotes
    Commercial Relationships   Konrad Pesudovs, None; Jyoti Khadka, None; Mallika Prem Senthil, None; Himal Kandel, None; Sheela Evangeline Kumaran, None; Eva Fenwick, None; Ecosse Lamoureux, None
  • Footnotes
    Support  NHMRC Grant (1031838)
Investigative Ophthalmology & Visual Science June 2017, Vol.58, 1359. doi:
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      Konrad Pesudovs, Jyoti Khadka, Mallika Prem Senthil, Himal Kandel, Sheela Evangeline Kumaran, Eva Fenwick, Ecosse Luc Lamoureux; The Eye-tem Bank project: an update on development and validation. Invest. Ophthalmol. Vis. Sci. 2017;58(8):1359.

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      © ARVO (1962-2015); The Authors (2016-present)

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Abstract

Purpose : The Eye-tem Bank project aims to develop, validate and implement comprehensive quality of life (QOL) patient-reported outcomes measures for all eye diseases across all population utilising item banking and computerized adaptive testing (CAT).

Methods : The first wave of the project targets 13 disease modules. Each disease-specific module undergoes four phases of development and validation: Phase I: Content identification (items from existing instruments and disease-specific patient focus groups); Phase II: Pilot testing the initial item sets for item calibration using Rasch analysis; Phase III: Validation of the Eye-tem Bank implemented via a CAT system; and Phase IV: Evaluating ophthalmic QOL using the Eye-tem Bank.

Results : Phase I (Australia, n=683, 54 focus groups, 415 interviews; median age, 56.5 years) has identified 2289 unique items for 7 modules across 8 to 11 disease-specific QoL domains (activity limitation, mobility, visual symptoms, ocular comfort symptoms, general symptoms, convenience, concerns, social, emotional, economic and coping). The number of items in these modules ranges from 257 to 352. Overall 30-50% of items are common between modules. Phase II (Australia) has been completed for glaucoma (n=293) and diabetic retinopathy (DR, n=514) and ongoing for age-related macular degeneration (n= 50), hereditary retinal diseases (n=150), acquired retinal diseases (n=20), refractive error (n=5) and amblyopia & strabismus. Items of the glaucoma and DR modules have been calibrated using Rasch analysis to develop CAT system. Two new domains of QoL (driving and lighting) have emerged during phase II analysis. Phase I of cataract (n=15) and dry eyes (n=10) module is ongoing. Items are being extracted and refined using qualitative methods to develop cornea (n=41), retinal detachment (n=39), uveitis spectrum of diseases (n=41), and inflammation (n=39) -specific pilot item banks. Phase I data collection for uncorrected refractive error (URE) (n=101, Nepal) has been completed and items are being extracted to develop URE-specific item bank.

Conclusions : One third to half of items are common between 7 disease modules, demonstrating a high level of disease-specificity. The CAT system for glaucoma and DR will undergo validation and reliability tests. All the other modules of the Eye-tem Bank project will follow the same development steps.

This is an abstract that was submitted for the 2017 ARVO Annual Meeting, held in Baltimore, MD, May 7-11, 2017.

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