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Systematic review of social media addiction among health workers during the pandemic Covid-19

The risk of social media (SM) addiction exponentially increases when social media is utilized during office hours for health workers. This study aims to explore the various factors that influence SM addiction in healthcare workers and to identify the potential social media addiction associated with...

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Autores principales: Eka Prasetya, Tofan Agung, Kusuma Wardani, Ratnaningtyas Wahyu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10225338/
https://www.ncbi.nlm.nih.gov/pubmed/37274718
http://dx.doi.org/10.1016/j.heliyon.2023.e16784
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author Eka Prasetya, Tofan Agung
Kusuma Wardani, Ratnaningtyas Wahyu
author_facet Eka Prasetya, Tofan Agung
Kusuma Wardani, Ratnaningtyas Wahyu
author_sort Eka Prasetya, Tofan Agung
collection PubMed
description The risk of social media (SM) addiction exponentially increases when social media is utilized during office hours for health workers. This study aims to explore the various factors that influence SM addiction in healthcare workers and to identify the potential social media addiction associated with it. The design used in this research is a systematic review with text mining methods and PRISMA (Preferred Reporting Items for Systematic Reviews & Meta-Analyses). The databases used in this study are PubMed, ProQuest, science direct, Elsevier, and Sage journals for data collection. The used keywords were associated factors, influencing factors, social media, addiction, healthcare workers, outbreak, pandemic, and COVID-19. The inclusion criteria were quantitative research, international studies, published in 2020–2022, published in Q1-Q3 journals, and open access studies and the exclusion criteria were not systematic review studies. Publications without English language and abstracts only also will be excluded. Advanced search is selected by using topics with strings “associated factors”, and “influencing factors” and strings “outbreak”, “pandemic”, and “COVID-19”. Furthermore, data extraction is carried out using text mining by the R programming to present the characteristics of publications and identify the descriptive result, such as term quantity, term replication, and Hierarchical cluster analysis. Descriptive analysis is used to present the percentage and frequency of data characteristics. Text mining begins with data preparation, namely importing text and string operations. The dataset and tokenization are created after importing the text. The most answered terms extracted from the analysis were combined into terms that will be the focus of a further investigation. A considerable part of healthcare professionals experienced Internet addiction, according to a study on the incidence and risk factors of Internet addiction among healthcare workers. Mental health not only affects physical health but also has effects on social and professional functioning in addition to being connected to personal health. Among health professionals, higher Internet and social media use was substantially linked to both anxiety and depression, as well as overall psychological health and increased substance use.
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spelling pubmed-102253382023-05-30 Systematic review of social media addiction among health workers during the pandemic Covid-19 Eka Prasetya, Tofan Agung Kusuma Wardani, Ratnaningtyas Wahyu Heliyon Review Article The risk of social media (SM) addiction exponentially increases when social media is utilized during office hours for health workers. This study aims to explore the various factors that influence SM addiction in healthcare workers and to identify the potential social media addiction associated with it. The design used in this research is a systematic review with text mining methods and PRISMA (Preferred Reporting Items for Systematic Reviews & Meta-Analyses). The databases used in this study are PubMed, ProQuest, science direct, Elsevier, and Sage journals for data collection. The used keywords were associated factors, influencing factors, social media, addiction, healthcare workers, outbreak, pandemic, and COVID-19. The inclusion criteria were quantitative research, international studies, published in 2020–2022, published in Q1-Q3 journals, and open access studies and the exclusion criteria were not systematic review studies. Publications without English language and abstracts only also will be excluded. Advanced search is selected by using topics with strings “associated factors”, and “influencing factors” and strings “outbreak”, “pandemic”, and “COVID-19”. Furthermore, data extraction is carried out using text mining by the R programming to present the characteristics of publications and identify the descriptive result, such as term quantity, term replication, and Hierarchical cluster analysis. Descriptive analysis is used to present the percentage and frequency of data characteristics. Text mining begins with data preparation, namely importing text and string operations. The dataset and tokenization are created after importing the text. The most answered terms extracted from the analysis were combined into terms that will be the focus of a further investigation. A considerable part of healthcare professionals experienced Internet addiction, according to a study on the incidence and risk factors of Internet addiction among healthcare workers. Mental health not only affects physical health but also has effects on social and professional functioning in addition to being connected to personal health. Among health professionals, higher Internet and social media use was substantially linked to both anxiety and depression, as well as overall psychological health and increased substance use. Elsevier 2023-05-29 /pmc/articles/PMC10225338/ /pubmed/37274718 http://dx.doi.org/10.1016/j.heliyon.2023.e16784 Text en © 2023 The Authors https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Review Article
Eka Prasetya, Tofan Agung
Kusuma Wardani, Ratnaningtyas Wahyu
Systematic review of social media addiction among health workers during the pandemic Covid-19
title Systematic review of social media addiction among health workers during the pandemic Covid-19
title_full Systematic review of social media addiction among health workers during the pandemic Covid-19
title_fullStr Systematic review of social media addiction among health workers during the pandemic Covid-19
title_full_unstemmed Systematic review of social media addiction among health workers during the pandemic Covid-19
title_short Systematic review of social media addiction among health workers during the pandemic Covid-19
title_sort systematic review of social media addiction among health workers during the pandemic covid-19
topic Review Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10225338/
https://www.ncbi.nlm.nih.gov/pubmed/37274718
http://dx.doi.org/10.1016/j.heliyon.2023.e16784
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