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Item banks for measurement of refractive error-specific quality of life.
Kandel, Himal; Khadka, Jyoti; Watson, Stephanie L; Fenwick, Eva K; Pesudovs, Konrad.
Afiliação
  • Kandel H; Save Sight Institute, Discipline of Ophthalmology, Faculty of Medicine and Health, The University of Sydney, Sydney, New South Wales, Australia.
  • Khadka J; Health and Social Care Economics Group, College of Nursing and Health Sciences, Flinders University, Adelaide, South Australia, Australia.
  • Watson SL; Registry of Senior Australians, South Australian Health and Medical Research Institute, Adelaide, South Australia, Australia.
  • Fenwick EK; Business School, University of South Australia, Adelaide, South Australia, Australia.
  • Pesudovs K; Save Sight Institute, Discipline of Ophthalmology, Faculty of Medicine and Health, The University of Sydney, Sydney, New South Wales, Australia.
Ophthalmic Physiol Opt ; 41(3): 591-602, 2021 05.
Article em En | MEDLINE | ID: mdl-33650713
ABSTRACT

PURPOSE:

To evaluate the psychometric properties of refractive error-specific quality of life (QoL) item banks and assess their performance using computerised adaptive testing (CAT) simulations.

METHODS:

In this cross-sectional study a 392-item questionnaire, grouped under 11 QoL domains, was interviewer-administered to 305 people with refractive error [mean age ± S.D., 30.5 ± 14.1 (range (18 to 83) years; male, 50.5%; mean ± S.D. spherical equivalent refractive error -2.4 ± 2.9 (range -15.0 to +11.0) Dioptres; spectacles (n = 257), contact lens (n = 37), refractive surgery (n = 25), uncorrected refractive error (n = 57)]. Rasch analysis was conducted on each QoL domain using the Andrich rating scale model to investigate parameters including response category functioning, person- and item-reliability, infit and outfit statistics, unidimensionality, targeting, differential item functioning and local item dependency. The resulting item banks underwent CAT simulations in 1,000 cases with 'high' and 'moderate' precision stopping rules.

RESULTS:

Rasch analysis iterations resulted in 13 refractive error-specific item banks (Convenience, Health concerns, Economic, Activity limitation, Mobility, Emotional, Social, Visual symptoms frequency, Visual symptoms severity, Visual symptoms bothersome, Comfort symptoms frequency, Comfort symptoms severity and Comfort symptoms bothersome), containing a total of 366 items. The item banks had good psychometric properties including satisfactory measurement precision, infit and outfit statistics and unidimensionality. In CAT simulations, the mean number of items required to achieve high and moderate measurement precision was 9.4 and 4.7, respectively.

CONCLUSION:

Overall, refractive error-specific QoL item banks show promise in their ability to comprehensively and precisely evaluate a range of quality of life parameters. These items banks when administered using a CAT system offer unique outcome tools for implementation in clinical trials, healthcare and research.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Psicometria / Qualidade de Vida / Erros de Refração / Simulação por Computador / Lentes de Contato / Óculos Tipo de estudo: Clinical_trials / Observational_studies / Prevalence_studies / Qualitative_research / Risk_factors_studies Limite: Adolescent / Adult / Aged / Aged80 / Female / Humans / Male / Middle aged Idioma: En Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Psicometria / Qualidade de Vida / Erros de Refração / Simulação por Computador / Lentes de Contato / Óculos Tipo de estudo: Clinical_trials / Observational_studies / Prevalence_studies / Qualitative_research / Risk_factors_studies Limite: Adolescent / Adult / Aged / Aged80 / Female / Humans / Male / Middle aged Idioma: En Ano de publicação: 2021 Tipo de documento: Article