دورية أكاديمية
Optimizing Computer Adaptive Test Performance: A Hybrid Simulation Study to Customize the Administration Rules of the CAT-EyeQ in Macular Edema Patients.
العنوان: | Optimizing Computer Adaptive Test Performance: A Hybrid Simulation Study to Customize the Administration Rules of the CAT-EyeQ in Macular Edema Patients. |
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المؤلفون: | Rausch-Koster TP; Amsterdam UMC location Vrije Universiteit Amsterdam, Ophthalmology, De Boelelaan 1117, Amsterdam, the Netherlands.; Amsterdam Public Health, Quality of Care, Aging and Later Life, Amsterdam, the Netherlands.; Bergman Clinics, Department of Ophthalmology, Naarden, the Netherlands., Luijten MAJ; Emma Children's Hospital, Amsterdam UMC location University of Amsterdam, Department of Child and Adolescent Psychiatry & Psychosocial Care, Amsterdam, the Netherlands.; Amsterdam UMC location Vrije Universiteit Amsterdam, Department of Epidemiology & Data Science, Amsterdam, the Netherlands.; Amsterdam Public Health, Mental Health & Methodology, Amsterdam the Netherlands.; Amsterdam Reproduction & Development, Child Development, Amsterdam, the Netherlands., Verbraak FD; Amsterdam UMC location Vrije Universiteit Amsterdam, Ophthalmology, De Boelelaan 1117, Amsterdam, the Netherlands.; Amsterdam Public Health, Quality of Care, Aging and Later Life, Amsterdam, the Netherlands., van Rens GHMB; Amsterdam UMC location Vrije Universiteit Amsterdam, Ophthalmology, De Boelelaan 1117, Amsterdam, the Netherlands.; Amsterdam Public Health, Quality of Care, Aging and Later Life, Amsterdam, the Netherlands., van Nispen RMA; Amsterdam UMC location Vrije Universiteit Amsterdam, Ophthalmology, De Boelelaan 1117, Amsterdam, the Netherlands.; Amsterdam Public Health, Quality of Care, Aging and Later Life, Amsterdam, the Netherlands. |
المصدر: | Translational vision science & technology [Transl Vis Sci Technol] 2022 Nov 01; Vol. 11 (11), pp. 14. |
نوع المنشور: | Journal Article; Research Support, Non-U.S. Gov't |
اللغة: | English |
بيانات الدورية: | Publisher: Association for Research in Vision and Ophthalmology Country of Publication: United States NLM ID: 101595919 Publication Model: Print Cited Medium: Internet ISSN: 2164-2591 (Electronic) Linking ISSN: 21642591 NLM ISO Abbreviation: Transl Vis Sci Technol Subsets: MEDLINE |
أسماء مطبوعة: | Original Publication: Rockville, Md. : Association for Research in Vision and Ophthalmology |
مواضيع طبية MeSH: | Quality of Life* , Macular Edema*, Humans ; Computers ; Computer Simulation |
مستخلص: | Purpose: In previous research the EyeQ item bank, which measures vision-related quality of life (Vr-QoL), was calibrated for future use as a computer adaptive test (CAT). The aim of the current study was to define optimal administration rules. Methods: CAT simulations were performed using real responses. Patients (N = 704; mean age, 76.2 years), having macular edema completed the EyeQ. Four CAT simulations were performed, which were set with different administration rules regarding length, accuracy level and the association with best health, which means the test was aborted after the first 4 responses of having no complaints. Results: The CATDefault showed a mean test length of 6.9 and 15.1% unreliable estimations. Extending the test length to 15 items (CATAlt1) resulted in a mean test length of 7.3 and slightly decreased the percentage unreliable estimations (11.5%). Under CATAlt2, the percentage unreliable estimations was 15.1% and the mean test length was 9.7. Percentages of floor/ceiling effects for CATDefault, CATAlt1, and CATAlt2 were 3.1, 3.0, and 3.1, respectively. CATBestHealth reduced the mean test length to 5.9 and showed 18.2% unreliably estimated patients, of which 14.2% had floor/ceiling scores. Conclusions: This study shows that the CATBestHealth provided reliably estimated ability scores, with a negligible increase in the number of unreliably estimated patients and ensures that patients having little or no vision-related quality of life problems are minimally burdened with completing items. Translational Relevance: The computer adaptive test EyeQ, set with optimal administration rules, can now be used for the computer adaptive assessment of vision-related quality of life in patients suffering from exudative retinal diseases in ophthalmic clinical practice. |
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تواريخ الأحداث: | Date Created: 20221117 Date Completed: 20221121 Latest Revision: 20221201 |
رمز التحديث: | 20240628 |
مُعرف محوري في PubMed: | PMC9684618 |
DOI: | 10.1167/tvst.11.11.14 |
PMID: | 36394844 |
قاعدة البيانات: | MEDLINE |
تدمد: | 2164-2591 |
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DOI: | 10.1167/tvst.11.11.14 |