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      Estado del conocimiento sobre el Soporte Vital Avanzado Enfermero en España según la red social Twitter Translated title: State of the art about the Advanced Life Support Nurse in Spain according to the social media Twitter

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          Abstract

          Resumen Objetivo: Explorar la información existente sobre el Soporte Vital Avanzado Enfermero (SVAE) en Twitter. Metodología: Se realizó un estudio, de naturaleza documental, basado en una revisión métrica mediante una búsqueda sistemática de información sobre el SVAE en Twitter desde 31/01/10 al 7/03/20. Se analizaron tuits y usuarios empleando indicadores métricos. Resultados principales: Se analizaron 215 tuits. Año más productivo: 2019 con 83 tuits. De los 76 usuarios que publican sobre el SVAE, el 75% son hombres, mayormente de Madrid y enfermeros. Tema de más auge: Difusión del SVAE entre los profesionales de la salud (27%). Tema más divulgado y de repercusión: Intervenciones asistenciales del SVAE. Dicho recurso se observa en 12 CCAA. Conclusión principal: La red social Twitter muestra el SVAE como un recurso asistencial implantado en numerosas CCAA, del que se dispone una información creciente y complementaria a las bases de datos. Dicha información procede, principalmente, de eventos científicos, aportando valor y conocimientos sobre distintos aspectos del SVAE y permitiendo su debate entre profesionales del ámbito.

          Translated abstract

          Abstract Objective: Exploring the current information about Advanced Life Support Nurse (SVAE) on Twitter. Methods: Metric review through a systematic search of SVAE information on Twitter from 31/01/10 to 07/03/20. It was analyzed tweets and users through the use of metric indicators. Results: 215 tweets were analyzed. Most productive year: 2019 with 83 tweets. From the 76 users who publish about SVAE, 75% were men, mostly from Madrid and nurses. Most popular topic: The spread of SVAE among health professionals (27%). The most widely disseminated topic and with repercussions: healthcare interventions of the SVAE. This resource can be observed in 12 Autonomous Communities. Conclusions: The SVAE is a healthcare resource implemented in many Autonomous Communities of Spain, with increasing information on Twitter, complementary to databases. Much of this information comes from scientific events, providing value and knowledge about different aspects of SVAE and allowing discussion among professionals in the field.

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          Ley 44/2003, de 21 de noviembre, de ordenación de las profesiones sanitarias

          (2003)
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            Twitter as a Tool for Health Research: A Systematic Review

            Lyle Ungar, Christina Mancheno, Kevin Padrez … (2017)
            Background. Researchers have used traditional databases to study public health for decades. Less is known about the use of social media data sources, such as Twitter, for this purpose. Objectives. To systematically review the use of Twitter in health research, define a taxonomy to describe Twitter use, and characterize the current state of Twitter in health research. Search methods. We performed a literature search in PubMed, Embase, Web of Science, Google Scholar, and CINAHL through September 2015. Selection criteria. We searched for peer-reviewed original research studies that primarily used Twitter for health research. Data collection and analysis. Two authors independently screened studies and abstracted data related to the approach to analysis of Twitter data, methodology used to study Twitter, and current state of Twitter research by evaluating time of publication, research topic, discussion of ethical concerns, and study funding source. Main results. Of 1110 unique health-related articles mentioning Twitter, 137 met eligibility criteria. The primary approaches for using Twitter in health research that constitute a new taxonomy were content analysis (56%; n = 77), surveillance (26%; n = 36), engagement (14%; n = 19), recruitment (7%; n = 9), intervention (7%; n = 9), and network analysis (4%; n = 5). These studies collectively analyzed more than 5 billion tweets primarily by using the Twitter application program interface. Of 38 potential data features describing tweets and Twitter users, 23 were reported in fewer than 4% of the articles. The Twitter-based studies in this review focused on a small subset of data elements including content analysis, geotags, and language. Most studies were published recently (33% in 2015). Public health (23%; n = 31) and infectious disease (20%; n = 28) were the research fields most commonly represented in the included studies. Approximately one third of the studies mentioned ethical board approval in their articles. Primary funding sources included federal (63%), university (13%), and foundation (6%). Conclusions. We identified a new taxonomy to describe Twitter use in health research with 6 categories. Many data elements discernible from a user’s Twitter profile, especially demographics, have been underreported in the literature and can provide new opportunities to characterize the users whose data are analyzed in these studies. Twitter-based health research is a growing field funded by a diversity of organizations. Public health implications. Future work should develop standardized reporting guidelines for health researchers who use Twitter and policies that address privacy and ethical concerns in social media research.
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              Elección de carrera y género

              J. Ruiz-Gutiérrez, L. Santana-Vega, Jairo. Ruiz-Gutiérrez … (2018)
              Article 0 comments Cited 11 times – based on 0 reviews     Review now
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                Author and article information

                Journal
                Journal ID (publisher-id): index
                Title: Index de Enfermería
                Abbreviated Title: Index Enferm
                Publisher: Fundación Index (Granada, Granada, Spain )
                ISSN (Print): 1132-1296
                ISSN (Electronic): 1699-5988
                Publication date (Print and electronic): September 2021
                Volume: 30
                Issue: 3
                Pages: 189-192
                Affiliations
                [3] Sevilla Andalucía orgnameUniversidad de Sevilla orgdiv1Centro Universitario de Enfermería San Juan de Dios Spain
                [2] Málaga orgnameServicio Andaluz de Salud orgdiv1Distrito Sanitario Málaga orgdiv2Servicio de Urgencias de Atención Primaria España
                [1] Sevilla orgnameHospital San Juan de Dios del Aljarafe España
                [4] Sevilla orgnameResidencia San Juan de Dios España
                Article
                Publisher ID: S1132-12962021000200008 Publisher ID: S1132-1296(21)03000300008
                SO-VID: fc7c4413-cede-4ac6-98f1-6621408856a1
                License:

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

                History
                Date accepted : 12 February 2021
                Date received : 20 November 2020
                Page count
                Figures: 0, Tables: 0, Equations: 0, References: 15, Pages: 4
                Product

                SciELO Spain

                Categories
                Subject: Originales

                Keywords: Advanced practice's nursing,Emergency's nursing,Ambulances,Social network,Social media,Enfermería de Urgencias,Enfermería de Práctica Avanzada,Ambulancias,Red Social,Medios de Comunicación Sociales
                Data availability:
                Keywords: Advanced practice's nursing, Emergency's nursing, Ambulances, Social network, Social media, Enfermería de Urgencias, Enfermería de Práctica Avanzada, Ambulancias, Red Social, Medios de Comunicación Sociales

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