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BMJ Open ; 9(7): e029501, 2019 07 09.
Artigo em Inglês | MEDLINE | ID: mdl-31292184

RESUMO

OBJECTIVE: The aim of the present study was to assess the employment rate among kidney and liver transplant recipients in Poland and identify the predictors of employment. SETTINGS: The study was based on a self-prepared questionnaire containing five parts: demographic data and professional, medical, physical and psychological factors. This is a multicentre study involving four hospitals in Poland. PARTICIPANTS: The investigated group consisted of 285 individuals (92 women and 185 men; 8 no sex given) aged between 18 and 45 years who underwent kidney or liver transplantation 1-5 years prior. Because of missing data, 279 questionnaires were considered regarding employment status after transplantation and 277 when sex differences were considered. RESULTS: A total of 120 patients (43%) worked full-time, 42 (15%) part-time and 117 (42%) remained unemployed, with a higher employment rate post-transplantation among men than women (60% vs 55%, p=0.04). More women performed white collar work (74% vs 41%, p=0.0003) and had to modify their working position than men (22% vs 7%, p=0.0118). Factors determining employment after transplantation included higher level of education (OR=27.08; p=0.0096), employment 1 year prior to transplantation (OR=11.05; p<0.001) and good psychological adaptation (OR=4.23; p<0.001). Men working the year before transplantation had higher education (OR=9.66; p=0.0356). Among men, more kidney recipients worked compared with liver recipients (OR=3.567; p=0.0417). Among women, age determined employment status (OR=0.89; p=0.0234). CONCLUSION: Higher education is the most important predictor of employment after transplantation. Therefore, rehabilitation programmes including vocational activity should be directed to increase the level of education, both pretransplantation and post-transplantation if possible.


Assuntos
Transplante de Rim/psicologia , Transplante de Fígado/psicologia , Retorno ao Trabalho/estatística & dados numéricos , Desemprego/estatística & dados numéricos , Adolescente , Adulto , Feminino , Humanos , Modelos Logísticos , Masculino , Pessoa de Meia-Idade , Análise Multivariada , Polônia , Inquéritos e Questionários , Adulto Jovem
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