Evidence map›Paper›PMID 37274709›Full record

ArticleHeliyon2023

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

Razie Toghroli, Teamour Aghamolaei, Laleh Hassani, Vahid Ramezaninejad, Javad Yoosefi Lebni, Nazila NeJhaddadgar, Nafiul Mehedi, Arash Ziapour

Open access · goldAbstract read
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.3field-weighted citation impact, top 41% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 6 institutions in 2 countries.

Razie ToghroliSocial Determinants in Health Promotion Research Center, Hormozgan Health Institute, Hormozgan University of Medical Sciences, Bandar Abbas, Iran.
Teamour AghamolaeiCardiovascular Research Center, Hormozgan University of Medical Sciences, Bandar Abbas, Iran.
Laleh HassaniDepartment of Health Promotion and Education, School of Health, Mother and Child Welfare Research Center Hormozgan University of Medical Sciences, Bandar Abbas, Iran.
Vahid RamezaninejadDepartment of Political Science, Baft Branch, Islamic Azad University, Baft, Iran.
Javad Yoosefi LebniSocial Determinants of Health Research Center, Lorestan University of Medical Sciences, Khorramabad, Iran.
Nazila NeJhaddadgarSocial Determinants of Health Research Center, Ardabil University of Medical Sciences, Ardabil, Iran.
Nafiul MehediDepartment of Social Work, Shahjalal University of Science and Technology, Sylhet, Bangladesh.
Arash ZiapourCardiovascular Research Center, Health Institute, Imam-Ali Hospital, Kermanshah University of Medical Sciences, Kermanshah, Iran.
Hormozgan University of Medical Sciences · IRArdabil University of Medical Sciences · IRIslamic Azad University, Jiroft Branch · IRKermanshah University of Medical Sciences · IRLorestan University of Medical Sciences · IRShahjalal University of Science and Technology · BD

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Barriers and facilitatorsCOVID-19Determinants of perceivedIranQualitative studySocial support

Identifiers

PMID37274709
PMCPMC10234343
OpenAlexW4378974454

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.