Literature DB >> 23552836

Identifying content for the glaucoma-specific item bank to measure quality-of-life parameters.

Jyoti Khadka1, Colm McAlinden, Jamie E Craig, Eva K Fenwick, Ecosse L Lamoureux, Konrad Pesudovs.   

Abstract

PURPOSE: Patient-reported outcomes (PROs) have become essential clinical trial end points. However, a comprehensive, multidimensional, patient-relevant, and precise glaucoma-specific PRO instrument is not available. Therefore, the purpose of this study was to identify content for a new, glaucoma-specific, quality-of-life (QOL) item bank.
METHODS: Content identification was undertaken in 5 phases: (1) identification of extant items in glaucoma-specific instruments and the qualitative literature; (2) focus groups and interviews with glaucoma patients; (3) item classification and selection; (4) expert review and revision of items; and (5) cognitive interviews with patients.
RESULTS: A total of 737 unique items (extant items from PRO instruments, 247; qualitative articles, 14 items; focus groups and semistructured interviews, 476 items) were identified. These items were classified into 10 QOL domains. Four criteria (item redundancy, item inconsistent with domain definition, item content too narrow to have wider applicability, and item clarity) were used to remove and refine the items. After the cognitive interviews, the final minimally representative item set had a total of 342 unique items belonging to 10 domains: activity limitation (88), mobility (20), visual symptoms (19), ocular surface symptoms (22), general symptoms (15), convenience (39), health concerns (45), emotional well-being (49), social issues (23), and economic issues (22).
CONCLUSIONS: The systematic content identification process identified 10 QOL domains, which were important to patients with glaucoma. The majority of the items were identified from the patient-specific focus groups and semistructured interviews suggesting that the existing PRO instruments do not adequately address QOL issues relevant to individuals with glaucoma.

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Year:  2015        PMID: 23552836     DOI: 10.1097/IJG.0b013e318287ac11

Source DB:  PubMed          Journal:  J Glaucoma        ISSN: 1057-0829            Impact factor:   2.503


  21 in total

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4.  Different impact of early and late stages irreversible eye diseases on vision-specific quality of life domains.

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5.  Psychometric Evaluation of Glaucoma Quality of Life Item Banks (GlauCAT) and Initial Assessment Using Computerized Adaptive Testing.

Authors:  Ryan Eyn Kidd Man; Eva K Fenwick; Jyoti Khadka; ZhiChao Wu; Simon Skalicky; Konrad Pesudovs; Ecosse L Lamoureux
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6.  Patient-Reported Symptoms Demonstrating an Association with Severity of Visual Field Damage in Glaucoma.

Authors:  Yesha S Shah; Michael Cheng; Aleksandra Mihailovic; Eva Fenwick; Ecosse Lamoureux; Pradeep Y Ramulu
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7.  The influence of the refractive correction on the vision-related quality of life in keratoconus patients.

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8.  Priorities and Treatment Preferences among Surgery-Naive Patients with Moderate to Severe Open-Angle Glaucoma.

Authors:  Amanda K Bicket; Jimmy T Le; Carol Yorkgitis; Tianjing Li
Journal:  Ophthalmol Glaucoma       Date:  2020-05-16

9.  Identifying the content for an item bank and computerized adaptive testing system to measure the impact of age-related macular degeneration on health-related quality of life.

Authors:  Eva K Fenwick; Ester P X Lee; Ryan E K Man; Kam Chun Ho; Raymond P Najjar; Dan Milea; Kelvin Y C Teo; Anna C S Tan; Shu Yen Lee; Ian Yew San Yeo; Gavin S W Tan; Ranjana Mathur; Tien Yin Wong; Chui Ming Gemmy Cheung; Ecosse L Lamoureux
Journal:  Qual Life Res       Date:  2021-09-25       Impact factor: 4.147

10.  Capturing the experiences of patients with inherited optic neuropathies: a systematic review of patient-reported outcome measures (PROMs) and qualitative studies.

Authors:  Benson S Chen; Tomasz Galus; Stephanie Archer; Valerija Tadić; Mike Horton; Konrad Pesudovs; Tasanee Braithwaite; Patrick Yu-Wai-Man
Journal:  Graefes Arch Clin Exp Ophthalmol       Date:  2022-01-13       Impact factor: 3.117

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