Medical Evaluation Processes in Clinical settings. Qualitative Analysis through the Experience of Teachers and Studens

Evaluation processes in clinical practice have not been well, being their study focused on the technical issues concerning these processes. This study tried an approach to the evaluation processes through the analysis of perceptions from teachers and students about the methodology of evaluation considering the teachinglearning processes performed in a clinical practice of the Medicine Program –Universidad El Bosque from Bogota. With this purpose we conducted interviews with teachers and students searching the manner in which the evaluative, learning and teaching processes are done; then we analyzed the perception from both agents concerning the way these processes are related. The interviews were categorized bath deductively and inductively, and then contrasted with some current theories of learning, teaching and evaluation in medicine. The study showed that nowadays the evaluation and, in general, the educative processes are affected by several factors which are associated to the manner the professional practice is developed, and the educative process of the current teachers. We concluded there is no congrency between the approach of the evaluation, mainly conductivist, and the learning and teaching strategies mainly constructivist. This fact cause dissent in teachers and students.

On the exhaustiveness of truncation and dropping strategies in many-to-many matching markets

We consider two–sided many–to–many matching markets in which each worker may work for multiple firms and each firm may hire multiple workers. We study individual and group manipulations in centralized markets that employ (pairwise) stable mechanisms and that require participants to submit rank order lists of agents on the other side of the market. We are interested in simple preference manipulations that have been reported and studied in empirical and theoretical work: truncation strategies, which are the lists obtained by removing a tail of least preferred partners from a preference list, and the more general dropping strategies, which are the lists obtained by only removing partners from a preference list (i.e., no reshuffling). We study when truncation / dropping strategies are exhaustive for a group of agents on the same side of the market, i.e., when each match resulting from preference manipulations can be replicated or improved upon by some truncation / dropping strategies. We prove that for each stable mechanism, truncation strategies are exhaustive for each agent with quota 1 (Theorem 1). We show that this result cannot be extended neither to group manipulations (even when all quotas equal 1 – Example 1), nor to individual manipulations when the agent’s quota is larger than 1 (even when all other agents’ quotas equal 1 – Example 2). Finally, we prove that for each stable mechanism, dropping strategies are exhaustive for each group of agents on the same side of the market (Theorem 2), i.e., independently of the quotas.