28 resultados para Grounded theory method


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Objetivou-se compreender o significado da prática social do enfermeiro na perspectiva luhmanniana e possibilitar um debate acerca da construção de um código específico para a área que vá além do tradicional código saúde-doença predominante no sistema de saúde, cuja comunicação socialmente relevante é a doença. Utilizou-se como referencial metodológico a Grounded Theory e como técnica de coleta de dados uma entrevista realizada com 35 participantes, entre maio e dezembro de 2007. A codificação e análise dos dados permitem concluir que apostar na enfermagem como um sistema funcionalmente diferenciado implica em desenvolver um código binário que potencialize a saúde como comunicação socialmente relevante e o ser humano como um ser social, inserido em uma realidade complexa e multidimensional.

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Estudo de natureza descritivo-reflexiva, objetivando apresentar as características do pesquisador que utiliza o método Teoria Fundamentada nos Dados e delinear reflexões sobre o desenvolvimento das aptidões do pesquisador para tornar-se um Teórico Fundamentado. A discussão teórica foi embasada nos referenciais dessa metodologia e apoiada na literatura. O artigo apresenta as principais demandas de estudos qualitativos com a Grounded Theory e importantes comportamentos, atitudes e características desenvolvidas pelos pesquisadores. Constata-se que a aprendizagem acerca da Teoria Fundamentada nos Dados vai além da habilidade para operacionalizar um conjunto de procedimentos e técnicas. Implica, também, em desafios de transformação na postura como pesquisador e em novas formas de pensar e pesquisar, reunindo conhecimentos a partir dos dados para formar uma teoria.

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Este artigo é parte de uma pesquisa qualitativa mais abrangente que utilizou como referencial teórico-metodológico a Grounded Theory e o Interacionismo Simbólico, resultando no modelo teórico denominado Entre o sofrimento e a esperança: a reabilitação da incontinência urinária como componente interveniente. Com a intenção de comunicar todo o conhecimento produzido, apresenta-se parte desse modelo, referente ao processo de enfrentamento da incontinência urinária por mulheres sem perspectivas de acesso ao tratamento cirúrgico, após falha dos procedimentos conservadores. Ao inter-relacionar os componentes (categorias e subcategorias) relativos à experiência dessas mulheres, buscando compará-los e analisá-los para compreender a interação entre eles, notou-se vulnerabilidade moral e psicossocial no movimento da experiência do grupo, suscetibilizando-o a riscos à saúde e ao comprometimento da qualidade de vida. Pesquisas são necessárias para aprofundar a compreensão de experiências em que haja barreira ao tratamento cirúrgico por descrédito do profissional médico sobre sua efetividade.

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Abstract OBJECTIVE Understanding the meanings attributed by family caregivers of children in hospital environments about their interactions with nursing professionals. METHODS This qualitative study used Symbolic Interactionism as a theoretical reference and Grounded Theory as the methodological framework. It was carried out in a Pediatrics Center in southern Brazil, in the first half of 2013. Participants were 15 family caregivers of hospitalized children. Data were collected through interviews and submitted to open and axial analysis. RESULTS Interactions with the nursing team enable family to trust or distrust in the provided child care and to positively evaluate the care received. CONCLUSION Interactions between family members and the nursing team contribute to the significance attributed by the family to the nursing care received by the child. Nurses should be aware of the attitudes of the nursing team regarding the child and their family, prioritizing humanized care.

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Molecular modelling using semiempirical methods AM1, PM3, PM5 and, MINDO as well as the Density Functional Theory method BLYP/DZVP respectively were used to calculate the structure and vibrational spectra of d-glucose and d-fructose in their open chain, alpha-anomer and beta-anomer monohydrate forms. The calculated data show that both molecules are not linear; ground state and the number for the point-group C is equal to 1. Generally, the results indicate that there are similarities in bond lengths and vibrational modes of both molecules. It is concluded that DFT could be used to study both the structural and vibrational spectra of glucose and fructose.

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Abstract OBJECTIVE Understanding the conceptions of premature children caregivers on child development and associated factors. METHOD An exploratory-descriptive qualitative study of 12 families with children under three years of age. Interviews were submitted to thematic content analysis, systematized into the categories of Bioecological Theory of Human Development: Process, Person, Context and Time, and in the Functional Development category. RESULTS There are concerns about impairment in the current and future development of a Person/child defined as fragile as a result of premature birth (Time dimension), minimized by the scope of observable competencies such as motor skills. The Context, especially family and health services, and Proximal Processes, described as one-way caregiver interactions, are considered determinants of development. Functional Development is considered a natural consequence and result of education. The support network is crucial, supporting or limiting care. CONCLUSION Concerns about the development mobilize caregivers to stimulate the premature child/person and requests family and healthcare assistance.

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A neural network procedure to solve inverse chemical kinetic problems is discussed in this work. Rate constants are calculated from the product concentration of an irreversible consecutive reaction: the hydrogenation of Citral molecule, a process with industrial interest. Simulated and experimental data are considered. Errors in the simulated data, up to 7% in the concentrations, were assumed to investigate the robustness of the inverse procedure. Also, the proposed method is compared with two common methods in nonlinear analysis; the Simplex and Levenberg-Marquardt approaches. In all situations investigated, the neural network approach was numerically stable and robust with respect to deviations in the initial conditions or experimental noises.

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A simple, four-step method for better introducing undergraduate students to the fundamentals of molecular orbital (MO) theory of the polyatomic molecules H2O, NH3, BH3 and SiH4 using group theory is reported. These molecules serve to illustrate the concept of ligand group orbitals (LGOs) and subsequent construction of MO energy diagrams on the basis of molecular symmetry requirements.

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The mathematical model for two-dimensional unsteady sonic flow, based on the classical diffusion equation with imaginary coefficient, is presented and discussed. The main purpose is to develop a rigorous formulation in order to bring into light the correspondence between the sonic, supersonic and subsonic panel method theory. Source and doublet integrals are obtained and Laplace transformation demonstrates that, in fact, the source integral is the solution of the doublet integral equation. It is shown that the doublet-only formulation reduces to a Volterra integral equation of the first kind and a numerical method is proposed in order to solve it. To the authors' knowledge this is the first reported solution to the unsteady sonic thin airfoil problem through the use of doublet singularities. Comparisons with the source-only formulation are shown for the problem of a flat plate in combined harmonic heaving and pitching motion.

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The present study compares the performance of stochastic and fuzzy models for the analysis of the relationship between clinical signs and diagnosis. Data obtained for 153 children concerning diagnosis (pneumonia, other non-pneumonia diseases, absence of disease) and seven clinical signs were divided into two samples, one for analysis and other for validation. The former was used to derive relations by multi-discriminant analysis (MDA) and by fuzzy max-min compositions (fuzzy), and the latter was used to assess the predictions drawn from each type of relation. MDA and fuzzy were closely similar in terms of prediction, with correct allocation of 75.7 to 78.3% of patients in the validation sample, and displaying only a single instance of disagreement: a patient with low level of toxemia was mistaken as not diseased by MDA and correctly taken as somehow ill by fuzzy. Concerning relations, each method provided different information, each revealing different aspects of the relations between clinical signs and diagnoses. Both methods agreed on pointing X-ray, dyspnea, and auscultation as better related with pneumonia, but only fuzzy was able to detect relations of heart rate, body temperature, toxemia and respiratory rate with pneumonia. Moreover, only fuzzy was able to detect a relationship between heart rate and absence of disease, which allowed the detection of six malnourished children whose diagnoses as healthy are, indeed, disputable. The conclusion is that even though fuzzy sets theory might not improve prediction, it certainly does enhance clinical knowledge since it detects relationships not visible to stochastic models.

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Coronary artery disease (CAD) is a worldwide leading cause of death. The standard method for evaluating critical partial occlusions is coronary arteriography, a catheterization technique which is invasive, time consuming, and costly. There are noninvasive approaches for the early detection of CAD. The basis for the noninvasive diagnosis of CAD has been laid in a sequential analysis of the risk factors, and the results of the treadmill test and myocardial perfusion scintigraphy (MPS). Many investigators have demonstrated that the diagnostic applications of MPS are appropriate for patients who have an intermediate likelihood of disease. Although this information is useful, it is only partially utilized in clinical practice due to the difficulty to properly classify the patients. Since the seminal work of Lotfi Zadeh, fuzzy logic has been applied in numerous areas. In the present study, we proposed and tested a model to select patients for MPS based on fuzzy sets theory. A group of 1053 patients was used to develop the model and another group of 1045 patients was used to test it. Receiver operating characteristic curves were used to compare the performance of the fuzzy model against expert physician opinions, and showed that the performance of the fuzzy model was equal or superior to that of the physicians. Therefore, we conclude that the fuzzy model could be a useful tool to assist the general practitioner in the selection of patients for MPS.

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Many economists show certain nonconformity relative to the excessive mathematical formalization of economics. This stems from dissatisfaction with the old debate about the lack of correspondence between mainstream theoretical models and reality. Although we do not propose to settle this debate here, this article seeks to associate the mismatch of mathematized models with the reality of the adoption of the hypothetical-deductive method as reproduced by general equilibrium. We begin by defining the main benefits of the mathematization of economics. Secondly, we address traditional criticism leveled against it. We then focus on more recent criticism from Gillies (2005) and Bresser-Pereira (2008). Finally, we attempt to associate the reproduction of the hypothetical-deductive method with a metatheoretical process triggered by Debreu's general equilibrium theory. In this respect, we appropriate the ideas of Weintraub (2002), Punzo (1991), and mainly Woo (1986) to support our hypothesis.