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Satisfacción de la madre de la atención brindada por la enfermera en el componente de CRED del CMI-Daniel Alcides CarriónMellado Humaní, Carmen Denisse January 2007 (has links)
La satisfacción de la madre de la atención brindada por la enfermera contribuirá a la mejora de la calidad de atención en el componente CRED. Los objetivos son: determinar el nivel de satisfacción de la madre de la atención brindada por la enfermera en el componente CRED del CMI- DAC .El presente estudio es de nivel aplicativo, tipo cuantitativo, método descriptivo de corte transversal. La población estuvo conformada por 110 madres .La técnica fue la entrevista, y el instrumento el cuestionario .Los resultados fueron: el nivel de satisfacción de la madre respecto a la atención que brinda la enfermera, de un total de 110(100 %) madres, 62(56%) tienen satisfacción medio, 13(12%) bajo y 35(32%) alto. En la dimensión humana 57 (52%) tienen un nivel de satisfacción medio, 16(14%) bajo y 37(34%) alto referido a que al ingresar al servicio la enfermera lo saluda. En la dimensión oportuna 70(64%) tienen un nivel de satisfacción medio, 14(12%) bajo y 26(24%) alta referido a la enfermera realiza la evaluación física. En la dimensión continua, 52(47%) tienen un nivel de satisfacción medio ,21(19%) bajo y 37(34%) alto referido a las indicaciones escritas que deja la enfermera. En la dimensión segura 78(71%) tienen un nivel de satisfacción medio, 8(7%) bajo y 24(22%) alto referido a la decoración del consultorio es adecuada. Por lo que se concluye que la mayoría tiene un nivel de satisfacción medio con tendencia a baja respecto a la atención que brinda la enfermera en el CRED referido a que la enfermera no saluda, no realiza la evaluación física, no deja indicaciones escritas y la poca decoración del consultorio. / The satisfaction of the mother in the attention will contribute to the improvement of the quality of attention in the component CRED. the objectives are: to determine the level of satisfaction in the mother of the attention offered by the nurse in the component CRED of the CMI- DAC. The present study is of application level, quantitative type, descriptive method of cross section. The population was conformed by 110 mothers. The technique was the interview, and the instrument the questionnaire. The results were: the level of satisfaction of the mother with respect to the attention that offers the nurse, of a total of 110(100 %) mothers, 62(56%) have medium satisfaction, 13(12%) low and 35(32%) high. In the human dimension 57(52%) they have a level of medium satisfaction, 16(14%) low and 37 (34%) high referred that enter to the service the nurse greets. In the opportune dimension 70(64%) they have a level of medium satisfaction, 14(12%) low and 26(24%) high referred the nurse carries out the physical evaluation. In the continuous dimension 52(47%) they have a level of medium satisfaction, 21(19%) low satisfaction level and 37(34%)high referred al interest of the nurse on the lack to the consultation and the indications written that leaves the nurse. In the sure dimension 78(71%) they have a level of medium satisfaction, 8(7%) low and 24(22%) high referred to the decoration of the doctor's office is adequate. For which it is concluded that the majority has a level of medium satisfaction with tendency to drop with respect to the attention that offers the nurse in the CRED referred to the nurse no nongreating, she do not carries out the physical evaluation, it does not leave the indications written and the little decoration of the doctor's office.
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Informing Industry End-Users on the Credibility of Model Predictions for Design DecisionsJakob T Hartl (13145352) 25 July 2022 (has links)
<p>Many industrial organizations invest heavily in modeling and simulation (M&S) to support the design process. The primary business motivation for M&S is as a cheaper and faster alternative for obtaining information towards a better understanding of system behavior or to help with decision making. However, M&S predictions are known to be inexact because models and simulations are mathematical approximations of reality. To ensure that models are applicable for their intended use, organizations must collect evidence that the M&S is credible. Verification, validation, and uncertainty quantification (VVUQ) are the established methods for collecting this evidence. Structured frameworks for building credibility in M&S through VVUQ methods exist in the scientific literature but these frameworks and methods are generally not well developed, nor well implemented in industrial environments. The core motivation of this work is to help make existing VVUQ frameworks more suitable for industry.</p>
<p>As part of this objective, this work proposes a new credibility assessment that turns VVUQ results into an intuitive, numerical decision-making metric. This credibility assessment, called the Credibility Index, identifies the important aspects of credibility, extracts the relevant VVUQ results, and converts the results into an overall Credibility Index score (CRED). This CRED score is unique for each specific prediction scenario and serves as an easy-to-digest measure of credibility. The Credibility Index builds upon widely accepted definitions of credibility, well-established VVUQ frameworks, and decision theory.</p>
<p>The Credibility Index has been applied to several prediction scenarios for two publicly available benchmark problems and one Rolls-Royce funded subsystem case; all examples relate to the aerodynamic design of turbine-engine compressors. The results from these studies show how the Credibility Index serves as a decision-making metric, supplements traditional M&S outputs, and guides VVUQ efforts. A product feedback study, involving model end-users in industry, compared the Credibility Index to three other established credibility assessments; the study provides evidence that CRED consistently captures all key aspects of information quality when informing end-users on the credibility of model predictions. Due to the industry partnership, this research already has multiple avenues of practical impact, including implementation of the structured VVUQ and credibility framework in an industrial toolkit and workflow. </p>
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