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      Assessing Digital Competence Among Health Science Undergraduates: a Critical Analysis Translated title: Evaluación de las competencias digitales en estudiantes de ciencias de la salud: un análisis crítico

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          Abstract

          Abstract Introduction. Strategic management between the educational realm and technology is possible as long as teachers and students have adequate and timely development of digital competencies. Although current generations are receptive to technology, academic activities that require critical thinking and problem-solving with digital support pose challenges and sometimes difficulties. Objective. To assess digital competencies in students from various healthcare disciplines through self-perception. Method. The Questionnaire for Assessing Student Digital Competence in Higher Education was used to gather information from a sample of 186 students in the healthcare field. Subsequent analysis was conducted using descriptive statistics. Results. The results indicated that, overall, students rated themselves in an intermediate range in terms of digital competence, suggesting a moderate perception of their digital abilities. Conclusion. Although most students reported having basic digital skills, many perceived challenges when using technology for academic tasks requiring information management, research, critical thinking, creativity, and innovation. Continuously improving students' digital competence and guiding their use of technology to solve complex problems can add significant value in the field of e-health, preparing them to fully leverage the opportunities technology offers in academic and professional settings.

          Translated abstract

          Resumen Introducción. La gestión estratégica entre el mundo educacional y la tecnología es posible en la medida en que docentes y estudiantes cuenten con un adecuado y oportuno desarrollo de competencias digitales. Aunque las generaciones actuales son permeables a la tecnología, las actividades académicas que exigen el pensamiento crítico y la solución de problemas mediante el apoyo digital suponen un reto y, en ocasiones, una dificultad. Objetivo. El propósito del presente estudio fue evaluar las competencias digitales en estudiantes de diferentes carreras en ciencias de la salud mediante la autopercepción. Método. Se aplicó, como instrumento para recopilar la información, el Cuestionario de Evaluación de Competencia Digital del Alumnado de Educación Superior a una muestra de 186 estudiantes en el área de ciencias de la salud. El análisis posterior se realizó utilizando estadística descriptiva. Resultados. Los resultados mostraron que los estudiantes, en su conjunto, se situaron en un rango intermedio en términos de competencia digital, lo que sugiere que tienen una percepción moderada de su competencia digital. Conclusión. Aunque la mayoría de los estudiantes declaró tener habilidades digitales básicas, muchos percibieron que enfrentaban desafíos al utilizar la tecnología para tareas académicas que requerían gestión de información, investigación, pensamiento crítico, creatividad e innovación. Mejorar continuamente la competencia digital de los estudiantes y orientar su uso de la tecnología para resolver problemas complejos puede agregar un valor significativo en el campo de la e-salud, preparándolos para aprovechar al máximo las oportunidades que ofrece la tecnología en el ámbito académico y profesional.

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          Blended Learning Compared to Traditional Learning in Medical Education: Systematic Review and Meta-Analysis

          Background Blended learning, which combines face-to-face learning and e-learning, has grown rapidly to be commonly used in education. Nevertheless, the effectiveness of this learning approach has not been completely quantitatively synthesized and evaluated using knowledge outcomes in health education. Objective The aim of this study was to assess the effectiveness of blended learning compared to that of traditional learning in health education. Methods We performed a systematic review of blended learning in health education in MEDLINE from January 1990 to July 2019. We independently selected studies, extracted data, assessed risk of bias, and compared overall blended learning versus traditional learning, offline blended learning versus traditional learning, online blended learning versus traditional learning, digital blended learning versus traditional learning, computer-aided instruction blended learning versus traditional learning, and virtual patient blended learning versus traditional learning. All pooled analyses were based on random-effect models, and the I2 statistic was used to quantify heterogeneity across studies. Results A total of 56 studies (N=9943 participants) assessing several types of learning support in blended learning met our inclusion criteria; 3 studies investigated offline support, 7 studies investigated digital support, 34 studies investigated online support, 8 studies investigated computer-assisted instruction support, and 5 studies used virtual patient support for blended learning. The pooled analysis comparing all blended learning to traditional learning showed significantly better knowledge outcomes for blended learning (standardized mean difference 1.07, 95% CI 0.85 to 1.28, I2=94.3%). Similar results were observed for online (standardized mean difference 0.73, 95% CI 0.60 to 0.86, I2=94.9%), computer-assisted instruction (standardized mean difference 1.13, 95% CI 0.47 to 1.79, I2=78.0%), and virtual patient (standardized mean difference 0.62, 95% CI 0.18 to 1.06, I2=78.4%) learning support, but results for offline learning support (standardized mean difference 0.08, 95% CI –0.63 to 0.79, I2=87.9%) and digital learning support (standardized mean difference 0.04, 95% CI –0.45 to 0.52, I2=93.4%) were not significant. Conclusions From this review, blended learning demonstrated consistently better effects on knowledge outcomes when compared with traditional learning in health education. Further studies are needed to confirm these results and to explore the utility of different design variants of blended learning.
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            Study design III: Cross-sectional studies.

            In this series, I previously gave an overview of the main types of study design and the techniques used to minimise biased results. Here, I describe cross-sectional studies, their uses, advantages and limitations.
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              Digital health literacy as a super determinant of health: More than simply the sum of its parts

              • Civic literacy refers to the ability to engage meaningfully with one's community. • Digital, health, and civic literacy are key predictors for digital health literacy. • The extent to which these three affect digital health literacy remains unclear. • Building digital health literacy is vital to limit inequalities from expanding.

                Author and article information

                Journal
                riics
                Revista de investigación e innovación en ciencias de la salud
                Rev. Investig. Innov. Cienc. Salud
                Fundación Universitaria María Cano (Medellín, Antioquia, Colombia )
                2665-2056
                January 2025
                : 7
                : 1
                : a349
                Affiliations
                [1] Viña del Mar orgnameUniversidad Viña del Mar orgdiv1Escuela de Ciencias de la Salud Chile
                Author information
                https://orcid.org/0000-0003-4438-7473
                https://orcid.org/0000-0002-8370-4550
                Article
                S2665-20562025000100001 S2665-2056(25)00700100001
                10.46634/riics.349
                aea5bcef-7d14-4c2e-ad0e-a68fa334d0ff

                This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

                History
                : 31 August 2024
                : 13 November 2024
                Page count
                Figures: 0, Tables: 0, Equations: 0, References: 61, Pages: 0
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                SciELO Colombia

                Categories
                Research article

                estudiantes del área de la salud,Computer literacy,education, medical,universities,students, health occupations,Alfabetización digital,competencia informática,educación superior,educación médica

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