[A computerized method for visual acuity assessment]. 2006

Patrícia Katayama Kjaer Arippol, and Solange Rios Salomão, and Rubens Belfort
Universidade Federal de São Paulo, São Paulo, SP, Brasil. patriciarippol@gmail.com

OBJECTIVE To elaborate and to validate a computerized test for visual acuity screening of school-age children. METHODS We have created a computerized test for visual acuity assessment with optotypes arranged as those of printed logarithmic charts used in ophthalmic clinic. Ninety seven-year-old students, 8 normal adult volunteers and 10 patients from the Strabismus sector of the Federal University of São Paulo were evaluated by the same examiner and submitted to the visual acuity test through printed visual acuity logarithmic tumble "E" chart and the new computerized test at the same time. Written consent was obtained after clarification about the research project. RESULTS Statistical analysis showed excellent correlation between the two methods (r>0.75) besides the slight trend of the computerized test to overestimate visual acuity when compared with the gold standard. Sensitivity of the computerized test was 100% (correctly identified 6 eyes with poor visual acuity) and specificity was 94%. CONCLUSIONS The computerized test can be used as a new clinical tool for visual acuity screening of school-age children and it is fast, easy to perform and inexpensive, besides being more attractive for children. The method releases the examiner from the interpretation of the subject's answers and ensures the procedure's standardization even when more than one examiner performs the test. To better understand the effectiveness of this method for visual screening, one option would be to introduce it in elementary schools, after training the teachers to perform this test.

UI MeSH Term Description Entries
D008297 Male Males
D002648 Child A person 6 to 12 years of age. An individual 2 to 5 years old is CHILD, PRESCHOOL. Children
D003627 Data Interpretation, Statistical Application of statistical procedures to analyze specific observed or assumed facts from a particular study. Data Analysis, Statistical,Data Interpretations, Statistical,Interpretation, Statistical Data,Statistical Data Analysis,Statistical Data Interpretation,Analyses, Statistical Data,Analysis, Statistical Data,Data Analyses, Statistical,Interpretations, Statistical Data,Statistical Data Analyses,Statistical Data Interpretations
D003936 Diagnosis, Computer-Assisted Application of computer programs designed to assist the physician in solving a diagnostic problem. Computer-Assisted Diagnosis,Computer Assisted Diagnosis,Computer-Assisted Diagnoses,Diagnoses, Computer-Assisted,Diagnosis, Computer Assisted
D005260 Female Females
D006801 Humans Members of the species Homo sapiens. Homo sapiens,Man (Taxonomy),Human,Man, Modern,Modern Man
D000293 Adolescent A person 13 to 18 years of age. Adolescence,Youth,Adolescents,Adolescents, Female,Adolescents, Male,Teenagers,Teens,Adolescent, Female,Adolescent, Male,Female Adolescent,Female Adolescents,Male Adolescent,Male Adolescents,Teen,Teenager,Youths
D000328 Adult A person having attained full growth or maturity. Adults are of 19 through 44 years of age. For a person between 19 and 24 years of age, YOUNG ADULT is available. Adults
D012680 Sensitivity and Specificity Binary classification measures to assess test results. Sensitivity or recall rate is the proportion of true positives. Specificity is the probability of correctly determining the absence of a condition. (From Last, Dictionary of Epidemiology, 2d ed) Specificity,Sensitivity,Specificity and Sensitivity
D012858 Size Perception The sensory interpretation of the dimensions of objects. Perception, Size,Perceptions, Size,Size Perceptions

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