ArticleHeliyon2023
Investigating the predictors of perceived social support to control COVID-19: A qualitative study.
Article in Heliyon, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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0 citing papers in PubMed, 1 citations in OpenAlex.
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Authors and funding
8 authors at 6 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Considering the adverse effects of COVID-19 pandemic, the present study aimed to explore the barriers and facilitators of perceived social support to prevent the further spread of the disease. Methods: In the present qualitative study, a content analysis was done. To this aim, 37 Iranian subjects who had active accounts on Instagram were initially invited to participate in the study. The data were collected through face-to-face (n = 25) and telephone conversations (n = 12). A purposive sampling was used and the data collection continued until data saturation. Finally, 41 interviews were held which took 17-48 min. Results: The data analysis led to the extraction of two main categories, the barriers and facilitators of perceived social support, as well as 12 subcategories. Economic issues, familial factors, socio-cultural factors, personal and psychological factors, ineffective quarantine rules, and poor management were the main barriers to perceived social support. The facilitators were divided into six categories, including familial influences, personal factors, government support, and improved occupational, social, spiritual, and emotional condition. Conclusion: The findings showed that a combination of environmental and social variables might influence the COVID-19 disease, either decreasing or increasing its spread. A sound knowledge of these variables, influenced by the social context and real-life experiences during the pandemic, allows to take the right measures and enrich training programs. The prevalence of the disease can be controlled by increasing environmental and social facilitators and decreasing the influence of barriers.
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