PURPOSE: To evaluate the use of the Spot Vision Screener (Spot; Welch Allyn, Skaneateles Falls, New York, USA) for detection of amblyopia risk factors in children aged 6 months to 3 years, as defined by the 2013 guidelines of the American Association for Pediatric Ophthalmology and Strabismus. DESIGN: Reliability analysis. METHODS: In this study, children seen from June 1, 2012, to April 30, 2016 were tested with the Spot during a routine visit. Enrolled children underwent a comprehensive eye examination including cycloplegic refraction and sensorimotor testing within 6 months of the testing date by a pediatric ophthalmologist masked to the Spot results. RESULTS: A total of 184 children were included. The Spot successfully obtained readings in 89.7% of patients. Compared with the ophthalmologist's examination, the Spot had an overall sensitivity of 89.8% and a specificity of 70.4%. CONCLUSION: The Spot achieved good sensitivity and specificity for detection of amblyopia risk factors in this young cohort, particularly in the older subgroup. Our data offer support for automated vision screening in young children.
PURPOSE: To evaluate the use of the Spot Vision Screener (Spot; Welch Allyn, Skaneateles Falls, New York, USA) for detection of amblyopia risk factors in children aged 6 months to 3 years, as defined by the 2013 guidelines of the American Association for Pediatric Ophthalmology and Strabismus. DESIGN: Reliability analysis. METHODS: In this study, children seen from June 1, 2012, to April 30, 2016 were tested with the Spot during a routine visit. Enrolled children underwent a comprehensive eye examination including cycloplegic refraction and sensorimotor testing within 6 months of the testing date by a pediatric ophthalmologist masked to the Spot results. RESULTS: A total of 184 children were included. The Spot successfully obtained readings in 89.7% of patients. Compared with the ophthalmologist's examination, the Spot had an overall sensitivity of 89.8% and a specificity of 70.4%. CONCLUSION: The Spot achieved good sensitivity and specificity for detection of amblyopia risk factors in this young cohort, particularly in the older subgroup. Our data offer support for automated vision screening in young children.
Authors: Susan A Cotter; Allison R Edwards; David K Wallace; Roy W Beck; Robert W Arnold; William F Astle; Carmen N Barnhardt; Eileen E Birch; Sean P Donahue; Donald F Everett; Joost Felius; Jonathan M Holmes; Raymond T Kraker; Michele Melia; Michael X Repka; Nicholas A Sala; David I Silbert; Katherine K Weise Journal: Ophthalmology Date: 2006-06 Impact factor: 12.079
Authors: Paul A Harris; Robert Taylor; Robert Thielke; Jonathon Payne; Nathaniel Gonzalez; Jose G Conde Journal: J Biomed Inform Date: 2008-09-30 Impact factor: 6.317
Authors: Mae Millicent W Peterseim; Carrie E Papa; M Edward Wilson; Jennifer D Davidson; Maria Shtessel; Mavesh Husain; Edward W Cheeseman; Bethany J Wolf; Rupal Trivedi Journal: J AAPOS Date: 2014-12 Impact factor: 1.220
Authors: Sean P Donahue; Brian Arthur; Daniel E Neely; Robert W Arnold; David Silbert; James B Ruben Journal: J AAPOS Date: 2013-01-27 Impact factor: 1.220