Evidence map›Paper›PMID 38841358›Full record

ArticleHealth SA = SA Gesondheid2024

Fear of COVID-19 among oral health professionals in South Africa.

Siphokazi M Matomane, David P Motloba

Abstract read
In one paragraph

Article in Health SA = SA Gesondheid, 2024. 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
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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.

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

2 authors.

Siphokazi M MatomaneDepartment of Community Dentistry, School of Oral Health Sciences, Sefako Makgatho Health Sciences University, Tshwane, South Africa.ORCID https://orcid.org/0009-0006-0076-0992
David P MotlobaDepartment of Community Dentistry, School of Oral Health Sciences, Sefako Makgatho Health Sciences University, Tshwane, South Africa.ORCID https://orcid.org/0000-0003-1379-7576

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The coronavirus disease 2019 (COVID-19) pandemic caused widespread psychological morbidity, especially among frontline workers. Oral health professionals (OHPs) are at increased risk of contracting and dying from COVID-19 because pf their proximity to infected patients. The objective of this study was to measure the level of COVID-19 fear and its predictors among South African OHPs. Aim: To evaluate the severity of fear of COVID-19 among OHPs in South Africa. Setting: Online platforms. Methods: In this cross-sectional study, a Google Forms-based online survey was conducted. The fear scale of COVID-19 (FCV-19S) was used to assess the level of fear among OHPs. Statistical data analysis was performed using SPSS 28.0. The multivariate logistic regression model was developed to assess the predictors of COVID-19 fear. Results: A total of 462 OHPs participated in this study. Approximately half of the participants, 212 (45.6%), indicated having severe fear of COVID-19. The regression model showed a significant association between COVID-19 fear and increased age, clinical experience, employment sector, professional group, positive COVID-19 test and COVID-19 vaccination. Conclusion: The results indicate that South African OHPs had low levels of corona phobia. Females, older and vaccinated OHPs had the greatest odds of COVID-19 fear. Contribution: This study provides insights into the severity of fear and anxiety experienced by OHPs in the time of the pandemic. The findings will aid in the development of appropriate interventions and programmes to deal with similar outbreaks in the future.

Indexed as

COVID-19fearoral health professionalspandemicSouth Africa

Identifiers

PMID38841358
PMCPMC11151434

What OpenQuestion holds

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Registered trials

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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.