Biomedical informatics (BMI) competencies are recognized as core requirements for the healthcare professional, but the amount of BMI educational interventions in the curricula of medical schools is limited. UNAM Faculty of Medicine in Mexico is a large public medical school, with more than 7000 undergraduate students. The undergraduate program recently underwent a major curricular revision, which includes BMI education. Two one-semester BMI courses (BMI-1 and BMI-2) were designed, with a blended-learning educational model. A department of BMI was created, with budget, offices and personnel. The first class of 1199 students started the course in 2010, with 32 groups of 40 students each. BMI-1 includes core conceptual notions of informatics applied to medicine (medical databases, electronic health record, telemedicine, among other topics), and BMI-2 embodies medical decision making and clinical reasoning. The program had a positive evaluation by students and teachers. BMI can be successfully incorporated in a large-scale medical school program in a developing country, using a blended-learning model and organizational change strategies.
Family Medicine residents have appropriate diagnostic accuracy that can improve with the use of DXplain. This could help decrease diagnostic errors, improve patient safety and the quality of medical practice. The use of clinical decision support systems could be useful in educational interventions and medical practice.
BackgroundBiomedical Informatics (BMI) education in medical schools is developing a sound curricular base, but there are few published reports of their educational usefulness. The goal of this paper is to assess knowledge change and satisfaction in medical students after a BMI curriculum.MethodsThe National Autonomous University of México Faculty of Medicine (UNAM) recently implemented a curricular reform that includes two BMI sequential courses (BMI-1 and BMI-2). The research design was one-group pretest-posttest. An objective test with evidence of validity was used for knowledge measurement. A satisfaction questionnaire was applied at the end of the courses. Two-tailed paired Student’s t-tests were applied, comparing knowledge scores in the pre and post-test for each course.ResultsThe study included student cohorts during two consecutive academic years. The 2013 BMI-1 course (n = 986 students) knowledge pretest score was 43.0 ± 8.6 (mean percent correct ± SD), and the post-test score was 57.7 ± 10.3 (p < 0.001); the 2014 BMI-1 (n = 907) pretest score was 43.7 ± 8.5, and the post-test was 58.1 ± 10.5 (p < 0.001). The 2012 BMI-2 course (n = 683) pretest score was 26.3 ± 7.9, the post-test score was 44.3 ± 13.3 (p < 0.001); the 2013 BMI-2 (n = 926) pretest score was 27.5 ± 7.5, and the post-test was 42.0 ± 11.0 (p < 0.001). The overall opinion of the students regarding the course was from good to excellent, with a response rate higher than 90%. The satisfaction questionnaires had high reliability (Cronbach’s alpha of 0.93).ConclusionsThe study shows a significant increase in BMI knowledge after an educational intervention in four medical student cohorts, and an overall positive evaluation by the students. Long-term follow-up is needed, as well as controlled studies of BMI educational interventions using performance endpoints.
Propósito: El Examen Clínico Objetivo Estructurado (ECOE) es una estrategia de evaluación que implica desafíos logísticos y de recursos humanos con ciertos requisitos de preparación y planeación para su implementación. El objetivo de este estudio es describir una colaboración entre tres escuelas de medicina para el diseño de escenarios, procesos y productos académicos. Método: Tres escuelas de medicina mexicanas obtuvieron una subvención del Programa de Premios Latinoamericanos de la National Board of Medical Examiners (NBME). El proyecto implicó el desarrollo de un ECOE formativo para evaluar la competencia clínica en estudiantes de medicina de pregrado al final del internado médico, y obtener evidencia de validez del examen para su uso. Se creó un consorcio formal para desarrollar y compartir estaciones ECOE. Se implementaron talleres de capacitación del profesorado. Resultados: El consorcio de las tres escuelas diseñó un ECOE de nueve estaciones. Se capacitaron a 81 examinadores y a 36 pacientes estandarizados. Se desarrolló una rúbrica y se creó una aplicación de software para capturar los datos. Se aplicó una prueba piloto con 93 estudiantes de medicina. El alfa de Cronbach fue 0.94 y el coeficiente G 0.80. Se crearon varios productos académicos para divulgar los resultados. Conclusiones: La experiencia formativa entre tres instituciones de educación médica permitió el desarrollo conjunto de escenarios para evaluación de la competencia clínica de estudiantes. La implementación conjunta además hizo posible la conceptualización e implementación de nuevas herramientas de evaluación. Esta oportunidad abre la invitación para aprovechar las oportunidades que brindan las organizaciones internacionales para participar en convocatorias que desarrollen a las escuelas de medicina en México. Los aprendizajes se pueden desplegar con otras escuelas de medicina en el país y América Latina.
Objetivo. Comparar el control glucémico entre pacientes con diabetes mellitus tipo 2 prepandemia vs pandemia de Covid-19 que acudieron a unidades de salud de primer nivel de atención de la Ciudad de México. Material y métodos. Se analizaron los registros de 23 912 pacientes con diabetes; 78.7% fueron del grupo prepandemia (2016 a 2020) y 21.3% del grupo pandemia (marzo 2020 a julio 2021). Se calcularon medidas de tendencia central y de dispersión, pruebas t de Student y se ajustó un modelo de regresión logística múltiple. Resultados. La mayoría de los pacientes con diabetes fueron mujeres (66.6 y 62.6%) con edad promedio de 59 y 58 años, respectivamente, y con hemoglobina glucosilada (HbA1) final de 7.7 vs el grupo pandemia (8.0). Las variables asociadas con el descontrol glucémico incluyeron periodo, nivel de HbA1, sobrepeso, obesidad, antecedente de padres con diabetes, número de medicamentos y tipo de insulina. Conclusiones. La mayoría de los pacientes con diabetes en ambos grupos tuvieron descontrol glucémico. Los pacientes del grupo pandemia tuvieron mayor descontrol glucémico de HbA1 comparados con los del grupo prepandemia. Después de recibir atención médica en ambos grupos, los pacientes mejoraron su control glucémico.
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