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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...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2023
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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 |
Sumario: | 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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