Measuring glaucoma quality of life in an Asian population using item banking: psychometric evaluation and computerized adaptive testing simulations
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T. Aung | S. Perera | E. Lamoureux | C. Sng | M. Baskaran | R. Husain | M. Nongpiur | B. S. Loe | Chelvin C A Sng | J. Iyer | E. Fenwick | R. Man | Jin Rong Low | Katherine W Lun | O. S. Huang | Belicia Lim | Tina Wong
[1] T. Aung,et al. The development of a glaucoma-specific health-related quality of life item bank supporting a novel computerized adaptive testing system in Asia , 2022, Journal of Patient-Reported Outcomes.
[2] K. Pesudovs,et al. Psychometric Evaluation of Glaucoma Quality of Life Item Banks (GlauCAT) and Initial Assessment Using Computerized Adaptive Testing , 2022, Translational vision science & technology.
[3] E. Lamoureux,et al. Factors associated with glaucoma-specific quality of life in a US glaucoma clinic in a pilot implementation of an online computerised adaptive test (GlauCAT) , 2022, British Journal of Ophthalmology.
[4] E. Lamoureux,et al. Implementation of an Online Glaucoma-Specific Quality of Life Computerized Adaptive Test System in a US Glaucoma Hospital , 2022, Translational vision science & technology.
[5] C. Hirneiss,et al. Veränderungen der Lebensqualität von Glaukompatienten über einen Zeitraum von 8 Jahren , 2021, Die Ophthalmologie.
[6] S. Szegedi,et al. Quality of life in patients with glaucoma assessed by 39-item National Eye Institute Visual Functioning Questionnaire (NEI VFQ-39) , 2021, Graefe's Archive for Clinical and Experimental Ophthalmology.
[7] Brian C. Stagg,et al. The Burden of Caring for and Treating Glaucoma: The Patient Perspective. , 2021, Ophthalmology. Glaucoma.
[8] K. Pesudovs,et al. Item banks for measurement of refractive error‐specific quality of life , 2021, Ophthalmic & physiological optics : the journal of the British College of Ophthalmic Opticians.
[9] B. Jiang,et al. Prevalence of Primary Angle Closure Glaucoma in the Last 20 Years: A Meta-Analysis and Systematic Review , 2021, Frontiers in Medicine.
[10] Conrad Harrison,et al. Maximizing the Potential of Patient-Reported Assessments by Using the Open-Source Concerto Platform With Computerized Adaptive Testing and Machine Learning , 2020, Journal of medical Internet research.
[11] K. Pesudovs,et al. Computerized Adaptive Tests: Efficient and Precise Assessment of the Patient-Centered Impact of Diabetic Retinopathy , 2020, Translational vision science & technology.
[12] S. Skevington,et al. Adjusting for cross-cultural differences in computer-adaptive tests of quality of life , 2017, Quality of Life Research.
[13] K. Pesudovs,et al. Diabetic Retinopathy and Macular Edema Quality-of-Life Item Banks: Development and Initial Evaluation Using Computerized Adaptive Testing. , 2017, Investigative ophthalmology & visual science.
[14] E. Basch. Patient-Reported Outcomes - Harnessing Patients' Voices to Improve Clinical Care. , 2017, The New England journal of medicine.
[15] Hiroshi Murata,et al. Developing an Item Bank to Measure Quality of Life in Individuals With Glaucoma, and the Results of the Interview With Patients: The Effect of Visual Function, Visual Field Progression Rate, Medical, and Surgical Treatments on Quality of Life , 2016, Journal of glaucoma.
[16] T. Wong,et al. Association of Vision Impairment and Major Eye Diseases With Mobility and Independence in a Chinese Population. , 2016, JAMA ophthalmology.
[17] T. Wong,et al. Vision impairment and major eye diseases reduce vision-specific emotional well-being in a Chinese population , 2016, British Journal of Ophthalmology.
[18] Chun Wang,et al. Sample Size Requirements for Estimation of Item Parameters in the Multidimensional Graded Response Model , 2016, Front. Psychol..
[19] K. Pickett,et al. Computerized adaptive testing of population psychological distress: simulation-based evaluation of GHQ-30 , 2015, Social Psychiatry and Psychiatric Epidemiology.
[20] T. Wong,et al. Glaucoma in Asia: regional prevalence variations and future projections , 2015, British Journal of Ophthalmology.
[21] T. Bond,et al. Applying the Rasch Model , 2015 .
[22] K. Pesudovs,et al. Identifying Content for the Glaucoma-specific Item Bank to Measure Quality-of-life Parameters , 2015, Journal of glaucoma.
[23] T. Wong,et al. Global prevalence of glaucoma and projections of glaucoma burden through 2040: a systematic review and meta-analysis. , 2014, Ophthalmology.
[24] M. Edelen,et al. Development of the PROMIS negative psychosocial expectancies of smoking item banks. , 2014, Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco.
[25] J. Fries,et al. The PROMIS Physical Function item bank was calibrated to a standardized metric and shown to improve measurement efficiency. , 2014, Journal of clinical epidemiology.
[26] Melissa S. Yale,et al. Rasch Analysis in the Human Sciences , 2013 .
[27] R. Sharma,et al. Direct healthcare costs of glaucoma treatment , 2013, British Journal of Ophthalmology.
[28] K. Pesudovs,et al. The importance of rating scales in measuring patient-reported outcomes , 2012, Health and Quality of Life Outcomes.
[29] David Magis,et al. catR: an R package for computerized adaptive testing , 2011 .
[30] Seung W. Choi,et al. Firestar: Computerized Adaptive Testing Simulation Program for Polytomous Item Response Theory Models , 2009 .
[31] Ssu-Kuang Chen,et al. SIMPOLYCAT: An SAS program for conducting CAT simulation based on polytomous IRT models , 2009, Behavior research methods.
[32] Larry H. Ludlow,et al. Replenishing a computerized adaptive test of patient-reported daily activity functioning , 2009, Quality of Life Research.
[33] David J. Weiss,et al. Using computerized adaptive testing to reduce the burden of mental health assessment. , 2008, Psychiatric services.
[34] Tien Yin Wong,et al. Visual impairment, causes of vision loss, and falls: the singapore malay eye study. , 2008, Investigative ophthalmology & visual science.
[35] Steven P. Reise,et al. The role of the bifactor model in resolving dimensionality issues in health outcomes measures , 2007, Quality of Life Research.
[36] G. S. Ang,et al. Lifetime visual prognosis for patients with primary open-angle glaucoma , 2007, Eye.
[37] R. Gershon,et al. The future of outcomes measurement: item banking, tailored short-forms, and computerized adaptive assessment , 2007, Quality of Life Research.
[38] M. R. Espejo. Applying the Rasch Model: Fundamental Measurement in the Human Sciences , 2004 .
[39] P. Fayers. Item Response Theory for Psychologists , 2004, Quality of Life Research.
[40] Young H. Kwon,et al. Rate of visual field loss and long-term visual outcome in primary open-angle glaucoma. , 2001, American journal of ophthalmology.
[41] R. Bullock,et al. Validation of a 6 item cognitive impairment test with a view to primary care usage , 1999, International journal of geriatric psychiatry.
[42] T. Croudace,et al. Item bank measurement of depression: will one dimension work? , 2014, Journal of clinical epidemiology.
[43] R Core Team,et al. R: A language and environment for statistical computing. , 2014 .
[44] Bryce B. Reeve,et al. Applying item response theory modelling for evaluating questionnaire item and scale properties , 2005 .
[45] Richard C Gershon,et al. Computer adaptive testing , 1994 .
[46] John M Linacre,et al. Optimizing rating scale category effectiveness. , 2002, Journal of applied measurement.