Objectives: To describe workers who returned to work after a hand injury and to analyze the factors associated with this outcome three years after discharge from rehabilitation. Methods: An observational, cross-sectional study was carried out with triangulation of quantitative and qualitative methods. The quantitative analysis used a database with sociodemographic, functional and clinical information on 35 individuals who were classified into two groups (return/no return to work). Multivariate analysis was conducted using the CART (Classification and Regression Tree) algorithm to assess the predictive value of four models, thereby identifying workers who had returned or not returned to work. Using the results from the statistical analysis, a semi-structured form was prepared for interviews, which were conducted with seven workers randomly selected from the sample. Results: Out of the 35 workers who participated in this study, 30 returned and five did not return to work. The majority were male, married and of low educational level, and the mean age was 37 years. The variables with the greatest predictive power were grip strength, occupational performance scores, occupational category and age. The qualitative analysis confirmed the multifactorial nature of the return to work and demonstrated that the presence of a professional to follow-up the process, adjustments to the workstation and working hours (to enable treatment continuity) and also accident benefits may contribute to a successful return. Conclusions: This study showed the complexity of the return to work by workers with hand injuries, highlighting a number of factors associated with this outcome and the importance of individualized assessment centered on the worker.Key words: return to work; work accident; hand trauma.
ResumoObjetivos: Descrever os trabalhadores que retornaram ao trabalho após um trauma de mão e analisar os fatores que se associaram a esse desfecho após três anos da alta da reabilitação. Métodos: Foi realizado um estudo observacional, de corte transversal, com triangulação dos métodos quantitativo e qualitativo. A análise quantitativa utilizou um banco de dados com informações sociodemográficas, funcionais e clínicas referentes a 35 indivíduos, classificados em dois grupos (retornou/não retornou ao trabalho).Foi conduzida análise multivariada, utilizando o algoritmo CART (Classification and Regression Tree) para avaliar o valor preditivo de quatro modelos, identificando trabalhadores que retornaram ou não ao trabalho. A partir dos resultados da análise estatística, foi elaborado um roteiro semiestruturado para as entrevistas que foram realizadas com sete trabalhadores selecionados aleatoriamente da amostra. Resultados: Dos 35 trabalhadores que participaram deste estudo, 30 retornaram e cinco não retornaram ao trabalho. A maioria era do sexo masculino, com média de idade de 37 anos, casada e de baixa escolaridade. As variáveis com maior força preditiva foram força de preensão, escores do desempenho ocupacional, categoria ocupacion...