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Clinics ; 65(7): 675-681, 2010. ilus, tab
Artículo en Inglés | LILACS | ID: lil-555498

RESUMEN

OBJECTIVE: This study was designed to estimate the accuracy of the postural assessment software (PAS/SAPO) for measurement of corporal angles and distances as well as the inter- and intra-rater reliabilities. INTRODUCTION: Postural assessment software was developed as a subsidiary tool for postural assessment. It is easy to use and available in the public domain. Nonetheless, validation studies are lacking. METHODS: The study sample consisted of 88 pictures from 22 subjects, and each subject was assessed twice (1 week interval) by 5 blinded raters. Inter- and intra-rater reliabilities were estimated using the intraclass correlation coefficient. To estimate the accuracy of the software, an inanimate object was marked with hallmarks using pre-established parameters. Pictures of the object were rated, and values were checked against the known parameters. RESULTS: Inter-rater reliability was excellent for 41 percent of the variables and very good for 35 percent. Ten percent of the variables had acceptable reliability, and 14 percent were defined as non-acceptable. For intra-rater reliability, 44.8 percent of the measurements were considered to be excellent, 23.5 percent were very good, 12.4 percent were acceptable and 19.3 percent were considered non-acceptable. Angular measurements had a mean error analisys of 0.11°, and the mean error analisys for distance was 1.8 mm. DISCUSSION: Unacceptable intraclass correlation coefficient values typically used the vertical line as a reference, and this may have increased the inaccuracy of the estimates. Increased accuracies were obtained by younger raters with more sophisticated computer skills, suggesting that past experience influenced results. CONCLUSION: The postural assessment software was accurate for measuring corporal angles and distances and should be considered as a reliable tool for postural assessment.


Asunto(s)
Adulto , Femenino , Humanos , Adulto Joven , Procesamiento de Imagen Asistido por Computador/métodos , Postura/fisiología , Validación de Programas de Computación , Pesos y Medidas Corporales/instrumentación , Variaciones Dependientes del Observador , Valores de Referencia , Reproducibilidad de los Resultados , Factores de Tiempo
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