The aim of this systematic review was to review the quality of the translation and the measurement properties from questionnaires that assess injuries of the knee. We included questionnaires that were developed in foreign language and have been translated and validated into Portuguese. The databases used were CINAHL, SPORTDiscus, LILACS, PUBMED and SCIELO and the final search resulted in a total of 868 studies included, from which 16 were eligible. Most included questionnaires presented all steps expected in a translation process; however there were some deficiencies in measurement properties among the questionnaires. The VISA-P Brazil was the best questionnaire when analyzing translation process and measurement properties tested. It was the only questionnaire that tested all measurement properties investigated and presented adequate values for all of them. KOS-ADLS was the best questionnaire translated to Portuguese from Portugal. Among all, the VISA-P Brazil is the best questionnaire to be used with Brazilian Portuguese speakers when the condition is related to patellar tendinopathy and the LEFS is the best questionnaire for other general conditions of the knee. For Portuguese from Portugal, the best questionnaire is the KOS-ADLS, and like the LEFS it does not target any specific injury.
Introduction The Subjective Daily Assessment Scale (ESAD) is based on the visual analog scale (VAS) and assesses six parameters (pain, edema, heat, mobility, sensitivity, and confidence).Objective This study aimed to examine the association between the analyzed variables as assessed by the ESAD and physical therapy clinical discharge and return-to-play of injured athletes.Method Eighty-one patient records of athletes were analyzed; mean sample age was 23.9 ± 6.3 years. The athletes received treatment through the Sports Physical Therapy program of Santa Catarina State University, Brazil, between 2008 and 2011. Six parameters were ranked on a scale from 0 to 10, with 0 being the best possible condition and 10 the worst. Data analysis was conducted using stepwise Cox regression.Results At the time of the injury, the mean score for confidence was 5.82 ± 0.48, and at the time of return-to-play, it was 0.48 ± 1.1; the mean score for pain decreased from 3.7 ± 2.64 to 0.34 ± 0.83. However, due to the strong association between pain and confidence, only confidence remained in the final model. For each reduction in the value reported for confidence, the probability of return-to-play was 0.62 times greater.Conclusion The results showed that confidence was the best variable for predicting athlete return-to-play.
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