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1.
J Reconstr Microsurg ; 39(8): 589-600, 2023 Oct.
Artículo en Inglés | MEDLINE | ID: mdl-36564051

RESUMEN

BACKGROUND: Microsurgery is one of the most challenging areas of surgery with a steep learning curve. To address this educational need, microsurgery curricula have been developed and validated, with the majority focus on technical skills only. The aim of this study was to report on the evaluation of a well-established curriculum using the Kirkpatrick model. METHODS: A training curriculum was delivered over 5 days between 2017 and 2020 focusing on (1) microscopic field manipulation, (2) knot tying, nondominant hand usage, (3) 3-D models/anastomosis, and (4) tissue experience. The Kirkpatrick model was applied to evaluate the curriculum at four levels: (1) participants' feedback (2) skills development using a validated, objective assessment tool (Global Assessment Score form) and CUSUM charts were constructed to model proficiency gain (3) and (4) assessing skill retention/long-term impact. RESULTS: In total, 155 participants undertook the curriculum, totaling 5,425 hours of training. More than 75% of students reported the course as excellent, with the remaining voting for "good." All participants agreed that the curriculum met expectations and would recommend it. Significant improvement in anastomosis attainment scores between days 1 and 3 (median score 4) and days 4 and 5 (median score 5) (W = 494.5, p = 0.00170). The frequency of errors reduced with successive attempts (chi square = 9.81, p = 0.00174). The steepest learning curve was in anastomosis and patency domains, requiring 11 attempts on average to reach proficiency. In total, 88.5% survey respondents could apply the skills learnt and 76.9% applied the skills learnt within 6 months. Key areas of improvement were identified from this evaluation, and actions to address them were implemented in the following programs. CONCLUSION: Robust evaluation of curriculum can be applied to microsurgery training demonstrating its efficacy in reducing surgical errors with an improvement in overall technical skills that can extend to impact clinical practice. It allows the identification of areas of improvement, driving the refinement of training programs.


Asunto(s)
Internado y Residencia , Microcirugia , Humanos , Microcirugia/educación , Competencia Clínica , Curriculum , Curva de Aprendizaje
2.
Development ; 146(22)2019 11 21.
Artículo en Inglés | MEDLINE | ID: mdl-31754007

RESUMEN

The embryonic development of the pineal organ, a neuroendocrine gland on top of the diencephalon, remains enigmatic. Classic fate-mapping studies suggested that pineal progenitors originate from the lateral border of the anterior neural plate. We show here, using gene expression and fate mapping/lineage tracing in zebrafish, that pineal progenitors originate, at least in part, from the non-neural ectoderm. Gene expression in chick indicates that this non-neural origin of pineal progenitors is conserved in amniotes. Genetic repression of placodal, but not neural crest, cell fate results in pineal hypoplasia in zebrafish, while mis-expression of transcription factors known to specify placodal identity during gastrulation promotes the formation of ectopic pineal progenitors. We also demonstrate that fibroblast growth factors (FGFs) position the pineal progenitor domain within the non-neural border by repressing pineal fate and that the Otx transcription factors promote pinealogenesis by inhibiting this FGF activity. The non-neural origin of the pineal organ reveals an underlying similarity in the formation of the pineal and pituitary glands, and suggests that all CNS neuroendocrine organs may require a non-neural contribution to form neurosecretory cells.


Asunto(s)
Factores de Crecimiento de Fibroblastos/metabolismo , Glándula Pineal/citología , Glándula Pineal/embriología , Transducción de Señal , Pez Cebra/embriología , Animales , Animales Modificados Genéticamente , Linaje de la Célula , Embrión de Pollo , Ectodermo/citología , Gastrulación , Regulación del Desarrollo de la Expresión Génica , Proteínas Fluorescentes Verdes/metabolismo , Cresta Neural/citología , Placa Neural/citología , Neuroglía/citología , Neuronas/citología , Sistemas Neurosecretores/metabolismo , Factores de Transcripción/metabolismo , Proteínas de Pez Cebra/metabolismo
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