3 research outputs found

    Translational research: A concept emerged from health sciences and exportable to education sciences

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    The objective of this paper was to analyze the concept and evolution of translational research in order to explore if it can be used in fields other than health sciences such as higher education. A mini review was conducted using Medline as a main source for identifying papers. We selected papers that appeared to be relevant according to our objective. Data extraction of these papers was made by summarizing documents using short textual descriptions. Search results yielded 1186 papers, 28 of which were finally selected for the mini review. The main aim of translational research is bridging the know do gap. Several multiphase models have been identified. The first described model had two phases (T1, T2) but there are models with three (T1-T3) or four phases (T1-T4). However, regardless of the model used, three main gaps exist that can be placed in the knowledge chain underpinning translational research. Translational research could be seen as a bidirectional bridge connecting the laboratory to practice either in health or in education. Its interdisciplinary back and forth ultimately contributes to improved health or education outcomes. This improvement can be achieved if the three gaps of the knowledge chain are overcome. Namely, these gaps are located: (1) between the discovery of new knowledge and dissemination to potential users of that knowledge; (2) between knowledge dissemination to potential users and its routine application to health or education practice; and (3) between clinical or educational practice and improvement of health or education outcomes.L'objectiu d'aquest treball va ser analitzar el concepte i l'evolució de la investigació translacional per tal d'explorar si es pot utilitzar en altres àmbits a part de les ciències de la salut com ara l'educació superior.El objetivo de este trabajo fue analizar el concepto y la evolución de la investigación translacional para explorar si se puede utilizar en otros ámbitos aparte de las ciencias de la salud como la educación superior

    Evaluation of a Clinical Decision Support System for Dyslipidemia Treatment (HTE-DLPR) by QoE questionnaire

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    Introduction: Clinical decision support systems (CDSS) are computer systems designed to assist clinicians with patient-related decision making, such as diagnosis and treatment. CDSS have shown to improve both patient outcomes and cost of care.Methods: A multi-center observational prospective study was conducted. Ten physicians agreed to participate. Seventy-seven patients with high or very high cardiovascular risk were included. After using CDSS for dyslipidemia (HTE-DLPR) for a 3 months period, participants were asked to evaluate their experience with HTE-DLPR using a quality of experience questionnaire (QoE) tool for mHealth applications.Results: Total score on the QoE was 3.89 out of 5. The highest scores were received for precision, ease of use and content quality. The lowest scores were given to security, appearance and performance. Physicians were in strong agreement with the 1st HTEDLPR recommendation in 86.1% and the system’s use was described as comfortablein 85% of cases. Users positively evaluated the development of a new version of HTEDLPR in the future receiving a total score of 4.25 out of 5.Conclusions: A CDSS for dyslipidemia (HTE-DLP) has been positively evaluated by physicians using QoE questionnaire

    Evaluation of a Clinical Decision Support System for Dyslipidemia Treatment (HTE-DLPR) by QoE questionnaire

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    Introduction: Clinical decision support systems (CDSS) are computer systems designed to assist clinicians with patient-related decision making, such as diagnosis and treatment. CDSS have shown to improve both patient outcomes and cost of care.Methods: A multi-center observational prospective study was conducted. Ten physicians agreed to participate. Seventy-seven patients with high or very high cardiovascular risk were included. After using CDSS for dyslipidemia (HTE-DLPR) for a 3 months period, participants were asked to evaluate their experience with HTE-DLPR using a quality of experience questionnaire (QoE) tool for mHealth applications.Results: Total score on the QoE was 3.89 out of 5. The highest scores were received for precision, ease of use and content quality. The lowest scores were given to security, appearance and performance. Physicians were in strong agreement with the 1st HTEDLPR recommendation in 86.1% and the system’s use was described as comfortablein 85% of cases. Users positively evaluated the development of a new version of HTEDLPR in the future receiving a total score of 4.25 out of 5.Conclusions: A CDSS for dyslipidemia (HTE-DLP) has been positively evaluated by physicians using QoE questionnaire.</strong
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