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Investigating the predictors of perceived social support to control COVID-19: A qualitative study

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...

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Autores principales: Toghroli, Razie, Aghamolaei, Teamour, Hassani, Laleh, Ramezaninejad, Vahid, Yoosefi lebni, Javad, NeJhaddadgar, Nazila, Mehedi, Nafiul, Ziapour, Arash
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10234343/
https://www.ncbi.nlm.nih.gov/pubmed/37274709
http://dx.doi.org/10.1016/j.heliyon.2023.e16878
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author Toghroli, Razie
Aghamolaei, Teamour
Hassani, Laleh
Ramezaninejad, Vahid
Yoosefi lebni, Javad
NeJhaddadgar, Nazila
Mehedi, Nafiul
Ziapour, Arash
author_facet Toghroli, Razie
Aghamolaei, Teamour
Hassani, Laleh
Ramezaninejad, Vahid
Yoosefi lebni, Javad
NeJhaddadgar, Nazila
Mehedi, Nafiul
Ziapour, Arash
author_sort Toghroli, Razie
collection PubMed
description 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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spelling pubmed-102343432023-06-01 Investigating the predictors of perceived social support to control COVID-19: A qualitative study Toghroli, Razie Aghamolaei, Teamour Hassani, Laleh Ramezaninejad, Vahid Yoosefi lebni, Javad NeJhaddadgar, Nazila Mehedi, Nafiul Ziapour, Arash Heliyon Research Article 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. Elsevier 2023-06-01 /pmc/articles/PMC10234343/ /pubmed/37274709 http://dx.doi.org/10.1016/j.heliyon.2023.e16878 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 Research Article
Toghroli, Razie
Aghamolaei, Teamour
Hassani, Laleh
Ramezaninejad, Vahid
Yoosefi lebni, Javad
NeJhaddadgar, Nazila
Mehedi, Nafiul
Ziapour, Arash
Investigating the predictors of perceived social support to control COVID-19: A qualitative study
title Investigating the predictors of perceived social support to control COVID-19: A qualitative study
title_full Investigating the predictors of perceived social support to control COVID-19: A qualitative study
title_fullStr Investigating the predictors of perceived social support to control COVID-19: A qualitative study
title_full_unstemmed Investigating the predictors of perceived social support to control COVID-19: A qualitative study
title_short Investigating the predictors of perceived social support to control COVID-19: A qualitative study
title_sort investigating the predictors of perceived social support to control covid-19: a qualitative study
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10234343/
https://www.ncbi.nlm.nih.gov/pubmed/37274709
http://dx.doi.org/10.1016/j.heliyon.2023.e16878
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