Prévoir la Réussite des Étudiants en Techniques d’inhalothérapie et d’anesthésie

Abstract: Respiratory therapists must be able to care for their patients safely, efficiently and competently. They manage critically ill patients on life support systems. As a member of the anesthesia team they are responsible for the vulnerable patient undergoing surgery. Within all areas of the hospital they are called upon to make decisions and judgements concerning patient treatment. The environment that is found in the modern clinical setting is often stressful and demanding. The respiratory and anesthesia technology program has the responsibility of preparing competent practioners who graduate not only with a broad knowledge base but with the affective competencies that are required to meet these challenges. Faculty and clinical instructors in the program of Respiratory and Anesthesia Technology have been troubled by rising attrition rates and weak performance of students. It is apparent that this is not a problem unique to Vanier College. The rationale for this study was multi-fold; to establish a definition of student success, to determine whether pre-admission academic abilities can predict success in the program and whether scores on a professional behavioural aptitudes tool can predict success in the clinical year of the program. Predictors were sought that could be used either in the pre-program admission policies or during the course of study in order to ensure success throughout the program and beyond. A qualitative analysis involving clinical instructors and faculty (n=5) was carried out to explore what success signified for a student in the respiratory and anesthesia program. While this process revealed that a student who obtained a grade above 77.5% was considered “successful”, the concept surrounding success was a much more complex issue. Affective as well as cognitive and psychomotor abilities complete the model of the successful student. Appropriate behaviour and certain character traits in a respiratory therapy student are considered to be significant elements leading to success. Assessment of students in their clinical year of the respiratory & anesthesia technology program currently include little measurement of abilities in the affective domain, and the resulting grade becomes primarily a measure of academic and procedural skills. A quantitative study of preadmission records and final program grades was obtained from a single cohort of respiratory and anesthesia technology students who began the program in 2005 and graduated in 2008 (n=16). Data was collected and a descriptive analysis (analysis of variance, Pearson correlation) was used to determine the relationship between preadmission grades and success. The lack of association between the high school grades and grades in the program ran contrary to some of the findings in the literature and it can be cautiously inferred that preadmission grades do not predict success in the program. To ascertain the predictive significance of evaluating professional behavioural skills and success in clinical internship, a behaviour assessment tool was used by clinical instructors and faculty to score each student during a rotation in their third year of the program which was clinical internship. The results of this analysis showed that a moderately strong association could be made between a high score on the behavior assessment tool and final clinical grades. Therefore this tool may be effective in predicting success in the clinical year of the program. Refining the admissions process to meet the challenge and responsibility of turning out graduates who are capable of meeting the needs of the profession is difficult but essential. The capacity to predict which students possess the affective competencies necessary to cope and succeed in their clinical year is conceivably more important than their academic abilities. Although these preliminary findings contribute, to some degree, to the literature that exists concerning methods of predicting success in a respiratory and anesthesia technology program, much data is still unknown. Further quantitative and qualitative research is required using a broader population base to substantiate the findings of this small study.||Résumé: Les inhalothérapeutes doivent être capables de prodiguer des soins à leurs patients d’une manière sécuritaire, efficace et compétente. Ils/elles peuvent être appelé(e)s à gérer les soins aux personnes gravement malades branchées à un respirateur artificiel. En tant que membres de l’équipe d’anesthésie, ils/elles sont responsables des patients qui subissent une chirurgie. Ils/elles sont sollicité(e)s par tous les secteurs de l’hôpital pour décider ou juger des traitements à apporter aux malades. L’environnement dans lequel ils/elles travaillent est souvent stressant et exigeant. Le programme de Techniques d’inhalothérapie et d’anesthésie vise à former des inhalothérapeutes compétent(e)s qui possèdent non seulement les connaissances propres à la discipline mais également les aptitudes affectives nécessaires pour faire face à ces défis. Les enseignant(e)s et instructeur(e)s cliniques en Techniques d’inhalothérapie et d’anesthésie sont préoccupé(e)s par le taux d’abandon croissant et la faible performance des étudiant(e)s dans le programme. Il semble que ce problème ne soit pas unique au Collège Vanier. Le but de cette recherche est multiple : définir ce qu’est «réussir» pour les étudiant(e)s de ce programme; déterminer si les aptitudes scolaires acquises avant l’admission au programme peuvent aider à prévoir le succès des étudiant(e)s dans le programme; et si les résultats obtenus à un test mesurant les aptitudes comportementales professionnelles permettent de prévoir le succès des étudiant(e)s dans le stage clinique du programme. On a essayé d’identifier des facteurs qui pourraient être utilisés dans les politiques d’admission au programme ou celles régissant le cheminement dans le programme qui permettraient d’assurer le succès au cours du programme et par la suite. Une analyse qualitative a été conduite auprès des instructeur(e)s cliniques et des enseignant(e)s (n=5) afin d’étudier la notion de « réussite » des étudiant(e)s dans le programme. Bien qu’un(e) étudiant(e) ayant obtenu une note supérieure à 77.5% soit considéré(e) comme ayant « réussi », la notion de « réussite » est beaucoup plus complexe. Des aptitudes affectives, autant que cognitives et psychomotrices complètent le modèle d’un(e) étudiant(e) ayant réussi. Un comportement approprié et certains traits de caractère sont considérés comme des facteurs importants pour la réussite d’un(e) étudiant(e) en techniques d’inhalothérapie et d’anesthésie. L’évaluation qui se fait actuellement des étudiant(e)s dans le stage clinique du programme ne porte que peu sur les aptitudes affectives, et le résultat obtenu témoigne essentiellement des aptitudes scolaires et procédurales. Une analyse quantitative des dossiers des étudiant(e)s avant leur admission au programme et leurs notes finales a été conduite auprès d’une cohorte d’étudiant(e)s ayant commencé le programme en 2005 et gradué en 2008 (n=16). Des données ont été recueillies et une analyse descriptive (analyse de la variance, corrélation de Pearson) ont été faites afin de déterminer l’existence d’un lien entre les notes obtenues au secondaire et celles obtenues dans le programme. L’absence de corrélation entre les deux catégories de notes va à l’encontre de certaines recherches publiées et on peut déduire avec réserve que les notes obtenues avant l’admission au programme ne permettent pas de prévoir la réussite dans le programme. Afin de vérifier la portée de l’évaluation du comportement professionnel et de la réussite en milieu clinique quant à la prévision de réussite dans le programme, une méthode d’évaluation du comportement a été appliquée par les instructeurs(e) cliniques et les enseignant(e)s pour évaluer chaque étudiant(e) au cours d’une rotation dans leur troisième année de stage clinique. Les résultats de cette analyse ont démontré qu’une corrélation moyennement forte pouvait être faite entre une bonne note à l’évaluation comportementale et les notes finales du stage clinique. Perfectionner le processus d’admission au programme afin d’assumer la responsabilité de former des diplômé(e)s capables de répondre aux besoins de la profession est difficile mais essentiel. Avoir les moyens de prévoir quels/quelles étudiant(e)s ont les compétences affectives nécessaires pour faire face à la réussite de leur année de stage clinique est peut être plus important que d’avoir les aptitudes scolaires. Bien que ces observations préliminaires contribuent, à un certain degré, à la littérature existante sur les méthodes de prévoir la réussite dans le programme d’inhalothérapie et d’anesthésie, plusieurs données restent inconnues. Une recherche quantitative et qualitative plus élaborée, conduite sur un échantillon plus large de la population, est nécessaire afin de corroborer les résultats de cette étude limitée.

On precise three-dimensional environment modeling via UAV-based photogrammetric systems

Abstract : Images acquired from unmanned aerial vehicles (UAVs) can provide data with unprecedented spatial and temporal resolution for three-dimensional (3D) modeling. Solutions developed for this purpose are mainly operating based on photogrammetry concepts, namely UAV-Photogrammetry Systems (UAV-PS). Such systems are used in applications where both geospatial and visual information of the environment is required. These applications include, but are not limited to, natural resource management such as precision agriculture, military and police-related services such as traffic-law enforcement, precision engineering such as infrastructure inspection, and health services such as epidemic emergency management. UAV-photogrammetry systems can be differentiated based on their spatial characteristics in terms of accuracy and resolution. That is some applications, such as precision engineering, require high-resolution and high-accuracy information of the environment (e.g. 3D modeling with less than one centimeter accuracy and resolution). In other applications, lower levels of accuracy might be sufficient, (e.g. wildlife management needing few decimeters of resolution). However, even in those applications, the specific characteristics of UAV-PSs should be well considered in the steps of both system development and application in order to yield satisfying results. In this regard, this thesis presents a comprehensive review of the applications of unmanned aerial imagery, where the objective was to determine the challenges that remote-sensing applications of UAV systems currently face. This review also allowed recognizing the specific characteristics and requirements of UAV-PSs, which are mostly ignored or not thoroughly assessed in recent studies. Accordingly, the focus of the first part of this thesis is on exploring the methodological and experimental aspects of implementing a UAV-PS. The developed system was extensively evaluated for precise modeling of an open-pit gravel mine and performing volumetric-change measurements. This application was selected for two main reasons. Firstly, this case study provided a challenging environment for 3D modeling, in terms of scale changes, terrain relief variations as well as structure and texture diversities. Secondly, open-pit-mine monitoring demands high levels of accuracy, which justifies our efforts to improve the developed UAV-PS to its maximum capacities. The hardware of the system consisted of an electric-powered helicopter, a high-resolution digital camera, and an inertial navigation system. The software of the system included the in-house programs specifically designed for camera calibration, platform calibration, system integration, onboard data acquisition, flight planning and ground control point (GCP) detection. The detailed features of the system are discussed in the thesis, and solutions are proposed in order to enhance the system and its photogrammetric outputs. The accuracy of the results was evaluated under various mapping conditions, including direct georeferencing and indirect georeferencing with different numbers, distributions and types of ground control points. Additionally, the effects of imaging configuration and network stability on modeling accuracy were assessed. The second part of this thesis concentrates on improving the techniques of sparse and dense reconstruction. The proposed solutions are alternatives to traditional aerial photogrammetry techniques, properly adapted to specific characteristics of unmanned, low-altitude imagery. Firstly, a method was developed for robust sparse matching and epipolar-geometry estimation. The main achievement of this method was its capacity to handle a very high percentage of outliers (errors among corresponding points) with remarkable computational efficiency (compared to the state-of-the-art techniques). Secondly, a block bundle adjustment (BBA) strategy was proposed based on the integration of intrinsic camera calibration parameters as pseudo-observations to Gauss-Helmert model. The principal advantage of this strategy was controlling the adverse effect of unstable imaging networks and noisy image observations on the accuracy of self-calibration. The sparse implementation of this strategy was also performed, which allowed its application to data sets containing a lot of tie points. Finally, the concepts of intrinsic curves were revisited for dense stereo matching. The proposed technique could achieve a high level of accuracy and efficiency by searching only through a small fraction of the whole disparity search space as well as internally handling occlusions and matching ambiguities. These photogrammetric solutions were extensively tested using synthetic data, close-range images and the images acquired from the gravel-pit mine. Achieving absolute 3D mapping accuracy of 11±7 mm illustrated the success of this system for high-precision modeling of the environment.