The human factor and ergonomics in Patient Safety.

The human condition is linked to error in any activity that is performed, and the healthcare world is no exception. The origin of human error does not lie within the perversity of human nature, instead, it has its origins in latent failures in the healthcare environment and is a consequence of the processes and procedures applied. The science of the Human Factor deals with the application of knowledge to people (capabilities, characteristics and limitations), with the design and the management of the equipment they use and with the environments in which they work and the activities they carry out. Part of the Human Factor are the non-technical skills. These skills greatly influence people's behavior and, therefore, their performance and the quality of healthcare in a very complex socio-technical system.

Autoevaluación de adquisición de competencias en estudiantes de grado de Medicina mediante simulación clínica / Self-assessment of skill acquisition in clinical simulations for medical undergraduate students

Introducción: La autopercepción que tienen los estudiantes para desarrollar su práctica clínica es la manera más acertada de evaluar cuán preparados se sienten y cuáles son sus habilidades. La universidad desarrolla un programa de simulación que permite a los alumnos potenciar su propio aprendizaje, con situaciones de feedback de los instructores de simulación.Sujetos y métodos.El estudio tuvo lugar en el curso académico 2019-2020. Los estudiantes de tercer año completaron tres escenarios de simulación; los de cuarto año, cuatro; y los de quinto año, tres. Antes y después de cada sesión de simulación, completaron un cuestionario electrónico de autopercepción de competencias técnicas y no técnicas.Resultados.De los 121 estudiantes de tercer curso, 79 (65,3%) contestaron a la encuesta inicial y 68 (61,2%) a la encuesta final. En cuarto curso participaron 111 alumnos, y contestaron la encuesta inicial 63 alumnos (56,8%) y 68 la final (61,2%). El quinto curso estuvo compuesto por 97 estudiantes, de los cuales 94 (96,9%) contestaron la encuesta inicial y 69 (71,1%) la final. Todos los ítems de la encuesta de autopercepción mejoraron de forma estadísticamente significativa (p < 0,001) en la encuesta final. Las puntuaciones iniciales medias en la dimensión no técnica fueron más altas que las puntuaciones medias en la dimensión técnica para todos los cursos de estudio.Conclusiones.Los resultados que obtuvimos mostraron una mejora en la autopercepción de las habilidades de los estudiantes y en su confianza para realizar las tareas de las simulaciones. Los alumnos de cursos superiores se sienten más seguros tanto en habilidades técnicas como en no técnicas, como la comunicación. (AU)

Introduction: The self-perception that students have to develop their clinical practice is the most accurate way to assess how prepared they feel and what their abilities are. The University develops an innovative and complete simulation program that allows students to enhance their own learning and that of their classmates, with feedback situations from the simulation instructors of the faculty itself.Subjects and methods.The study took place in the academic year 2019-2020. During the study period, 3rd-year students completed 3 simulation scenarios, 4th-year students 4 cases, and 5th-year students completed 3 scenarios. Before and after each simulation session, they anonymously and voluntarily completed an electronic questionnaire on self-perception of technical and non-technical skills.Results.Of the 121 third-year students, 79 (65.3%) answered the initial questionnaire and 68 (61.2%) the final questionnaire. In the fourth year, 111 students participated, and 63 students (56.8%) answered the initial questionnaire and 68 (61.2%) the final one. The fifth course was composed of 97 students, of which 94 (96.9%) answered the initial questionnaire and 69 (71.1%) the final one. All the items of the self-perception survey improved in a statistically significant way (p < 0.001) in the final survey. The mean baseline scores on the non-technical dimension were higher than the mean scores on the technical dimension for all study courses.Conclusions.The results we obtained showed an improvement in the self-perception of the students' abilities and in their confidence to perform the tasks of the simulations. Higher grade students feel more confident in both technical and non-technical skills, such as communication. (AU)

Characteristics and outcome of patients with solid tumour requiring admission to the intensive care unit. Usefulness of three severity score systems / Características y evolución de los pacientes con tumores sólidos que requieren ingreso en la unidad de cuidados intensivos. Utilidad de 3 escalas de gravedad

Background and objective: To describe the characteristics and the evolution of patients with solid tumours admitted to the ICU and to identify factors associated with hospital mortality and to evaluate three illness severity scores. Material and methods: Descriptive study including 132 patients with solid tumour admitted to the ICU (2010-2016). Demographics and cancer-related data, organ failures, life-supporting therapies and severity scores: APACHE II, SOFA and ICU Cancer Mortality Model (ICMM) were collected. Results: There were 58 patients admitted for medical reasons and 74 for scheduled surgery. The ICU and hospital mortality rate were 12.9% and 19.7%, respectively. The medical reason for admission, the number of organ failures, and the need of life-supporting therapies were significantly associated with a higher mortality (p<0.05). In the logistic regression analysis, the three severity scores: SOFA (OR 1.18, 95% IC 1.14-1.48), APACHE II (OR 1.11, 95% CI 1.09-1.27), and ICMM (OR 1.03, 95% CI 1.02-1.07) were independently associated with a higher mortality (p<0.05). To evaluate the discrimination, the area under the receiver operating characteristics curves (AUROC) were calculated: APACHE II (0.795, 95% CI 0.69-0.9), SOFA (0.77, 95% CI 0.69-0.864) and ICMM (0.794, 95% CI 0.697-0.891). The comparison of AUC ROC after DeLong's test showed no difference between them. Conclusion: Hospital mortality was associated with the type and severity of acute illness. The three severity scores were useful to assess outcome and accurate in the discrimination, but we did not find a significant difference between them

Introducción y objetivo: Describir las características generales y la evolución de los pacientes con tumores sólidos ingresados en una unidad de cuidados intensivos (UCI), identificar los factores asociados a la mortalidad y evaluar el valor pronóstico de 3 escalas de gravedad. Material y métodos: Estudio descriptivo de 132 pacientes con diagnóstico de tumour sólido admitidos en la UCI (2010-2016). Se analizaron los datos demográficos relacionados con el tumour, la disfunción orgánica y las terapias de soporte vital, así como las escalas de gravedad APACHE II, SOFA e ICMM. Resultados: Ingresaron 58 pacientes por causa médica y 74 tras cirugía programada. La tasa de mortalidad en la UCI y hospitalaria fue del 12,9% y 19,7%, respectivamente. La causa médica de ingreso, el número de fallos orgánicos y la necesidad de terapias de soporte vital se asociaron significativamente con mayor mortalidad (p<0,05). En el análisis por regresión logística las 3 escalas evaluadas: SOFA (OR: 1,18; IC 95%: 1,14-1,48), APACHE II (OR: 1,11; IC 95%: 1,09-1,27) e ICMM (OR: 1,03; IC 95%: 1,02-1,07) se asociaron de forma independiente con una mayor mortalidad (p<0,05). Para evaluar la discriminación, se calcularon las AUROC: APACHE II (0,795; CI 95%: 0,69-0,9), SOFA (0,77; CI 95%: 0,69-0,864) e ICMM (0,794; CI 95%: 0,697-0,891). La comparación de las mismas por el test DeLong no mostró diferencias entre los sistemas de puntuación. Conclusiones: La mortalidad hospitalaria se asoció con el tipo y la gravedad de la enfermedad aguda. Las e escalas de gravedad evaluadas fueron igualmente útiles para evaluar el pronóstico, sin mostrar diferencias entre ellas

Characteristics and outcome of patients with solid tumour requiring admission to the intensive care unit. Usefulness of three severity score systems.

BACKGROUND AND OBJECTIVE: To describe the characteristics and the evolution of patients with solid tumours admitted to the ICU and to identify factors associated with hospital mortality and to evaluate three illness severity scores. MATERIAL AND METHODS: Descriptive study including 132 patients with solid tumour admitted to the ICU (2010-2016). Demographics and cancer-related data, organ failures, life-supporting therapies and severity scores: APACHE II, SOFA and ICU Cancer Mortality Model (ICMM) were collected. RESULTS: There were 58 patients admitted for medical reasons and 74 for scheduled surgery. The ICU and hospital mortality rate were 12.9% and 19.7%, respectively. The medical reason for admission, the number of organ failures, and the need of life-supporting therapies were significantly associated with a higher mortality (p<0.05). In the logistic regression analysis, the three severity scores: SOFA (OR 1.18, 95% IC 1.14-1.48), APACHE II (OR 1.11, 95% CI 1.09-1.27), and ICMM (OR 1.03, 95% CI 1.02-1.07) were independently associated with a higher mortality (p<0.05). To evaluate the discrimination, the area under the receiver operating characteristics curves (AUROC) were calculated: APACHE II (0.795, 95% CI 0.69-0.9), SOFA (0.77, 95% CI 0.69-0.864) and ICMM (0.794, 95% CI 0.697-0.891). The comparison of AUC ROC after DeLong's test showed no difference between them. CONCLUSION: Hospital mortality was associated with the type and severity of acute illness. The three severity scores were useful to assess outcome and accurate in the discrimination, but we did not find a significant difference between them.

Presentación fatal de un mixoma cardiaco / Fatal presentation of a cardiac myxoma

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