A smartphone ocular alignment measurement app in school screening for strabismus

Abstract Background Strabismus is the leading risk factor for amblyopia, which should be early detected minimized visual impairment. However, traditional school screening strabismus can challenged due to several factors, most notably training, mobility and cost. The purpose of our study evaluate feasibility using a smartphone application in vision detection strabismus. Methods beta application, EyeTurn, measure ocular misalignment by computerized Hirschberg test. was used nurse routine 133 elementary children. All app measurements were reviewed an ophthalmologist assess rate successful measurement flagged in-person verification with prism alternating cover test (PACT) 2.4? threshold (root mean squared error app). A receiver operating characteristic (ROC) curve determine best sensitivity specificity 8? (recommended AAPOS) PACT as ground truth. Results obtained at least one 93% children (125/133). 40 PACT, 6 confirmed have strabismus, including 4 exotropia (10?, 10?, 14? 18?), 1 constant esotropia (25?) accommodative (14?). Based on ROC curve, optimum detect determined 3.0?, (83.0%), (76.5%). With this would missed child esotriopia, whereas conventional 3 cases intermittent extropia. Conclusions support use personnel without professional training screenings improve