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1.
BMC Med Educ ; 19(1): 452, 2019 Dec 04.
Artigo em Inglês | MEDLINE | ID: mdl-31801502

RESUMO

BACKGROUND: Proper basic life support (BLS) is key in improving the survival of out-of-hospital cardiac arrest. BLS skills deteriorate in three to 6 months after training. One method to improve skill retention may be using the "testing effect" to test skills at the end of a BLS course. The aim of our study was to investigate whether either testing or the timing of such testing after BLS training have any influence on skill retention. METHODS: This was a post-test only, partial coverage, prospective quasi-experimental study designed to evaluate a BLS training course among 464 fifth year medical students at Semmelweis University in the first semester of 2013/2014. Groups were systematically but non-randomly assigned to either a control group that took no exam or one of two experimental groups that took an exam (N = 179, NoExam group; N = 165, EndExam group - exam at the end of the BLS training; N = 120, 3mExam group - exam 3 months after the BLS training). The ability to perform ten prescribed essential BLS steps was evaluated during a skill retention assessment 2 months after the course in the NoExam, 2 months after the course (and the exam) in the EndExam and 5 months after the course (2 months after the exam) in the 3mExam group to measure skill retention and the effect of our intervention. Scores were calculated for each BLS step, and also summed up as a total score. We used Kruskal-Wallis test to assess differences in skill retention. RESULTS: Overall, NoExam and EndExam groups showed similar skill retention. The mean total score (and many of the sub-scores) of students was significantly higher in the 3mExam group compared to both the NoExam and the EndExam groups, and there was no difference in the total score (and many of the sub-scores) of the latter two groups. The 3mExam group had less variability in total scores (and many of the sub-scores) than the other two groups. CONCLUSION: Our study provides evidence that testing these skills 3 months after BLS training may be more effective than either testing immediately at the end of the course or no testing at all.


Assuntos
Avaliação Educacional , Cuidados para Prolongar a Vida , Retenção Psicológica , Estudantes de Medicina , Reanimação Cardiopulmonar/educação , Competência Clínica , Feminino , Humanos , Hungria , Masculino , Estudos Prospectivos
2.
Orv Hetil ; 154(35): 1374-80, 2013 Sep 01.
Artigo em Húngaro | MEDLINE | ID: mdl-23974973

RESUMO

INTRODUCTION: Identification of risk factors is one of the most frequent questions in medical research currently. Several reports showed "significant" and "independent" prognostic factors in a variety of human conditions, however, those were not tested about predictive information in addition to standard risk markers. Recently novel statistical approaches (reclassification) have been developed to test the performance and usefulness of new risk factors and prognostic markers. There are several established methods to test the prognostic models. AIM: The aim of this work was to present the application of these novel statistical approaches by re-analyzing previously reported results of the authors. METHOD: The authors analyzed the prognostic role of two markers: red cell distribution width and heat shock protein 70 in patients with heart failure. Using Cox regression analyses the authors have reported previously that both markers are independent predictors. In the present study they re-analyzed the role of red cell distribution width and heat shock protein 70 by reclassification tests. RESULTS: Incorporating red cell distribution width to the reference model the authors found a significant improvement in discrimination . However, the reclassification analysis provided ambiguous results with heat shock protein 70. CONCLUSIONS: Interpretation of results on new prognostic factors has to be done carefully, and appropriate reclassification approaches may help to confirm clinical usefulness only.


Assuntos
Biomarcadores/sangue , Eritrócitos/patologia , Insuficiência Cardíaca/diagnóstico , Área Sob a Curva , Proteína C-Reativa/metabolismo , Feminino , Proteínas de Choque Térmico HSP70/sangue , Insuficiência Cardíaca/sangue , Insuficiência Cardíaca/mortalidade , Insuficiência Cardíaca/patologia , Humanos , Masculino , Pessoa de Meia-Idade , Peptídeo Natriurético Encefálico/sangue , Fragmentos de Peptídeos/sangue , Prognóstico , Modelos de Riscos Proporcionais , Curva ROC , Medição de Risco , Fatores de Risco , Sensibilidade e Especificidade , Análise de Sobrevida
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