Browsing by Author "Aranda F."

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    3D simulation of aneurysm clipping: Data analysis
    (Elsevier Inc., 2021) Mery F.; Méndez-Orellana C.; Aranda F.; Rojas R.; Villanueva P.; Méndez-Orellana C.; Torres J.; Caro I.; Pesenti J.; Germano I.
    © 2021Aneurysm clipping requires the proficiency of several skills, yet the traditional way of practicing them has been recently challenged. The use of simulators could be an alternative educational tool. The aim of this data analysis is to provide further evaluation of a reusable low-cost 3D printed training model we developed for aneurysm clipping [1]. The simulator was designed to replicate the bone structure, arteries and targeted aneurysms. Thirty-two neurosurgery residents performed a craniotomy and aneurysm clipping using the model and then filled out a survey. The survey was designed in two parts: a 5-point Likert scale questionnaire and three questions requiring written responses [1]. Two dimensions of the model were evaluated by the questionnaire: the face validity, assessed by 5 questions about the realism of the model, and the content validity, assessed by 6 questions regarding the usefulness of the model during the different steps of the training procedure. The three questions requiring written responses referred to the strengths and weaknesses of the simulator and a global yes/no question as to whether or not they would repeat the experience. Demographic data, experience level and survey responses of the residents were grouped in a dataset [2]. A descriptive analysis was performed for each dimension. Then, the groups were compared according to their level of expertise (Junior and Senior groups) with an independent sample t-test. A Confirmatory Factor Analysis (CFA) was estimated, using a Weighted Least Squares Mean Variance adjusted (WLSMV) which works best for the ordinal data [3]. Fitness was calculated using chi-square (χ2) test, Comparative Fit Index (CFI), Tucker-Lewis Index (TLI), and the Root Mean Square Error of Approximation (RMSEA). A non-significant χ2, CFI and TLI greater than 0.90 and RMSEA < 0.08 were considered an acceptable fit [4]. All data analysis was performed using IBM SPSS 23.0 statistical software. Data are reported as mean + standard deviation (SD). A probability p < 0.05 was considered significant. Exploratory Factor Analysis was done to explore the factorial structure of the 11-items scale in the sample, first we performed a principal components analysis. The Kaiser-Meyer-Olkin measure verified the sampling adequacy for the analysis (KMO = 0.784; Bartlett's Test of Sphericity χ2 (55) = 243.44, p < .001), indicating correlation is adequate for factor analysis. Considering Eigen values greater than 1, a two-factor solution explained 73.1% of the variance but left one item in factor 2 (Q 11). The results of this factor analysis are presented in Table 1. Confirmatory Factor Analysis, considering only the 10 items in the first factor (removing question 11 of our model), was performed. This model reached the following fit: χ2 (35) = 38.821, p > .05; CFI = 0.997; TLI = 0.996; RMSEA 0.058, without any error terms to exhibit covariance. Regarding the reliability of the questionnaire, the internal consistency was explored in the 10 items selected in the confirmatory factor analysis with an alpha coefficient (α = 0.941).
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    Recommendations for the management of patients with COVID-19 with therapeutic indication for mechanical ventilation that are eventually connected to anesthesia machinesRecomendaciones para el manejo de pacientes con COVID-19 con indicación terapéutica de ventilación mecánica que eventualmente son conectados a máquinas de anestesia
    (Sociedad de Anestesiologia de Chile, 2020) Aranda F.; Cabrera M.C.; Aliste J.; Egaña J.I.; González R.; Penna A.; Altermatt Couratier, Fernando René; Bruhn A.; De La Fuente R.; Lacassie H.J.; Bruhn A.; Bernucci F.; Carrasco E.; Castillo R.; Díaz R.; Honorato T.; López M.; Pizarro F.; Rocco C.; Regueira T.; Merino W.; Torres D.; Alvarez J.P.; Acuña D.
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    Student survey after ten years of continuous blended teaching of echocardiocraphyEncuesta a los estudiantes tras diez años de enseñanza semipresencial continua de ecocardiografía
    (Springer, 2023) Parra V.M.; Fita G.; Azqueta M.; Gonzalez M.; Aranda F.; Maestre M.L.; Silva J.; Hortal J.; Morales D.; Borquez E.; Adasme F.; Real M.I.; Mercadal J.; Zelada P.; Riobo G.; Galdames K.; Domenech R.J.; CEDEUS (Chile)
    © 2023 Sociedad Española de Anestesiología, Reanimación y Terapéutica del DolorObjective: To analyse the impact of 10 years of blended echocardiography teaching. Methods and results: A questionnaire was emailed to all medical doctors who graduated from the blended learning diploma in echocardiography developed by the University of Chile and taught by a team from Chile and Spain. One hundred and forty of the 210 students who graduated from the program between 2011 and 2020 completed the questionnaire: 53.57% were anaesthesiologists, and 26.42% were intensivists. More than 85% of respondents indicated that the online teaching met their expectations, and 70.2% indicated that the hands-on practice fulfilled the stated objectives. In a retrospective analysis using self-reported data, graduates reported that their use of transthoracic and transoesophageal echocardiography has increased from 24.29% to 40.71% and from 13.57% to 27.86%, repectively, after the programme compared to before the programme. They used echocardiography mainly in the perioperative period (56.7%) and during intensive care (32.3%), while only 11% of respondents used it in emergency care units. Nearly all (92.4%) respondents reported that the skills learned was very useful in their professional practice. Conclusions: Ten years after its launch, the blended learning diploma in echocardiography was well rated by graduate specialists, and is associated with a significant increase in the use of echocardiography in the perioperative period and during intensive care. The main challenges are to establish a longer period of practice and achieve greater implantation in emergency medicine.