Uso de las bases de datos científicas en estudiantes de enfermería: factores influyentes

E. Salazar; L. Paredes; I. Obando; A. Ourcillleón

E. Salazar Universidad San Sebastián (Puerto Montt, Chile)
L. Paredes Departamento de Salud. Universidad de los Lagos (Osorno, Chile)
I. Obando Departamento de Salud. Universidad de los Lagos (Osorno, Chile)
A. Ourcillleón Carrera de Enfermería. Universidad de Santiago (Santiago, Chile)

Palabras clave: Bases de datos bibliográficas, Educación en enfermería, Tecnología de la información, Aprendizaje, Chile

Key-words: Databases, Bibliographic, Education, Nursing, Information technology, Learning, Chile

Palavras chave: Bases de dados bibliográficas, Educação em enfermagem, Tecnologia da informação, Aprendizagem, Chile

Resumen

Introducción: El Modelo de Aceptación Tecnológica (TAM), ha sido ampliamente utilizado para predecir el uso de bases de datos científicas (BDC). No obstante, es preciso indagar el peso de otras variables identificadas en la revisión de la literatura. Objetivo: Identificar los factores influyentes en la aceptación y uso de las bases de datos científicas por parte de los estudiantes de la carrera de enfermería de una universidad privada. Método: El estudio tiene un diseño no experimental, transversal de tipo descriptivo y correlacional. Se aplicó un cuestionario a estudiantes de la carrera de Enfermería (Chile). Se realizó un análisis basado en regresión de mínimos cuadrados parciales en SmartPLS. Resultados: Se corroboran como variables predictoras del uso de BDC a las variables TAM (intención de uso, utilidad y facilidad de uso) y a otras variables externas al modelo (obligatoriedad, las habilidades informacionales y el entrenamiento en tecnologías). Discusión: La evidencia identifica que una de las principales barreras en el uso de las BDC son las habilidades informacionales y digitales para su utilización. Conclusiones: Se hace necesario incorporar nuevas metodologías para aumentar la competencia de los estudiantes con el uso de estas bases, para este efecto se consideraron las variables que resultaron predictoras

Abstract

Introduction: The Technology Acceptance Model (TAM) has been extensively utilized to predict the use of scientific databases; nevertheless, it is necessary to further inquire on the weight of other literature review identified variables. Objective: To identify factors influencing the acceptance and use of scientific databases by nursing students in a private university. Method: This is a correlational, descriptive, transversal, and non-experimental study. A corresponding questionnaire was distributed among nursing students in Chile. A partial least squares regression analysis was performed using SmartPLS. Results: TAM predicting variables to the usage of scientific databases, including intention to use, usefulness, and ease of use, were corroborated. Other TAM-external predicting variables such as obligatoriness, information-handling skills, and technology training, were also found. Discussion: Evidence suggested that a main barrier to the use of scientific databases refers to the skills to handle digital information. Conclusions: Considering the related predicting variables, it is necessary to incorporate new methodologies aimed at enhancing the competence of students to use scientific databases

Resumo

Introdução: O Modelo de Aceitação Tecnológica (TAM), tem sido bastante utilizado para predizer o uso de bases de dados científicas (BDC). No entanto, é preciso investigar o peso de outras variáveis identificadas na revisão da literatura. Objetivo: Identificar os fatores influentes na aceitação e uso das bases de dados científicas por parte dos estudantes da carreira de enfermagem de uma universidade privada. Método: O estudo tem um desenho não experimental, transversal de tipo descritivo e correlacional. Aplicou- se um questionário a estudantes da carreira de Enfermagem (Chile). Realizou-se uma análise baseada em regressão de mínimos quadrados parciais em SmartPLS. Resultados: Corroboram-se como variáveis preditoras do uso de BDC às variáveis TAM (intenção de uso, utilidade e facilidade de uso) e a outras variáveis externas do modelo (obrigatoriedade, as habilidades informacionais e o treinamento em tecnologias). Discussão: A evidência identifica que uma das principais barreiras no uso das BDC são as habilidades informacionais e digitais para sua utilização. Conclusões: É necessário incorporar novas metodologias para aumentar a competência dos estudantes com o uso destas bases, para tal efeito consideraram-se as variáveis que resultaram preditoras

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Uso de las bases de datos científicas en estudiantes de enfermería: factores influyentes

Scientific databases use among nursing students: related factors

Uso das bases de dados científicas em estudantes de enfermagem: fatores influentes

Resumen

Abstract

Resumo

Bibliografía