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Quality of Life Research
Gepubliceerd in: Quality of Life Research 9/2023

28-04-2023

Measuring glaucoma quality of life in an Asian population using item banking: psychometric evaluation and computerized adaptive testing simulations

Auteurs: Eva K. Fenwick, Belicia Lim, Ryan E. K. Man, Mani Baskaran, Monisha Nongpiur, Chelvin C. A. Sng, Jayant Venkatramani Iyer, Rahat Husain, Shamira Perera, Tina Wong, Jin Rong Low, Bao Sheng Loe, Olivia Shimin Huang, Katherine Lun, Tin Aung, Ecosse L. Lamoureux

Gepubliceerd in: Quality of Life Research | Uitgave 9/2023

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Abstract

Purpose

To assess the psychometric properties of glaucoma-specific health-related quality of life (HRQoL) item banks (IBs), and explore their efficiency using computerized adaptive testing (CAT) simulations.

Methods

In this cross-sectional, clinical study, 300 Asian glaucoma patients answered 221 items within seven IBs: Ocular Comfort Symptoms (OS); Activity Limitation (AL); Lighting (LT); Mobility (MB); Glaucoma Management (GM); Psychosocial (PSY); and Work (WK). Rasch analysis was conducted to assess each IB’s psychometric properties (e.g., item “fit” to the construct; unidimensionality) and a set of analytic performance criteria guiding decision making relating to retaining or dropping domains and items was employed. CAT simulations determined the mean number of items for ‘high’ and ‘moderate’ measurement precision (stopping rule: SEM 0.3 and 0.387, respectively).

Results

Participants’ mean age was 67.2 ± 9.2 years (62% male; 87% Chinese). LT, MB, and GM displayed good psychometric properties overall. To optimize AL’s psychometric properties, 16 items were deleted due to poor “fit”, high missing data, item bias, low discrimination and/or a low clinical/patient importance rating. To resolve multidimensionality in PSY, we rehomed 16 items into a “Concern (CN)” domain. PSY and CN required further amendment, including collapsing of response categories, and removal of poorly functioning items (N = 7). Due to poor measurement precision, low applicability and high ceiling effect, low test information indices, and low item separation index the WK IB was not considered further. In CAT simulations on the final seven IBs (n = 182 items total), an average of 12.1 and 15.7 items per IB were required for moderate and high precision measurement, respectively.

Conclusions

After reengineering our seven IBs, they displayed robust psychometric properties and good efficiency in CAT simulations. Once finalized, GlauCAT™-Asian may enable comprehensive assessment of the HRQoL impact of glaucoma and associated treatments.
vorige artikel Health-related quality of life 12 years after injury: prevalence and predictors of outcomes in a cohort of injured Māori
volgende artikel Post-discharge health assessment in survivors of coronavirus disease: a time-point analysis of a prospective cohort study
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Metagegevens
Titel
Measuring glaucoma quality of life in an Asian population using item banking: psychometric evaluation and computerized adaptive testing simulations
Auteurs
Eva K. Fenwick
Belicia Lim
Ryan E. K. Man
Mani Baskaran
Monisha Nongpiur
Chelvin C. A. Sng
Jayant Venkatramani Iyer
Rahat Husain
Shamira Perera
Tina Wong
Jin Rong Low
Bao Sheng Loe
Olivia Shimin Huang
Katherine Lun
Tin Aung
Ecosse L. Lamoureux
Publicatiedatum
28-04-2023
Uitgeverij
Springer International Publishing
Gepubliceerd in
Quality of Life Research / Uitgave 9/2023
Print ISSN: 0962-9343
Elektronisch ISSN: 1573-2649
DOI
https://doi.org/10.1007/s11136-023-03428-8

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