Evidence map›Paper›PMID 37362910›Full record

ArticleHealth services insights2023

Perception of Risk and Compliance With COVID-19 Safety Guidelines: A Cross-Sectional Survey Among Healthcare Workers in Ghana.

Esinam Afi Kayi, Doris Ottie-Boakye, Gloria Akosua Ansa, Nana Nimo Appiah-Agyekum

Open access · goldAbstract read
In one paragraph

Article in Health services insights, 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
0.9field-weighted citation impact, top 25% 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, 3 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

4 authors at 2 institutions in 1 country.

Esinam Afi KayiDepartment of Adult Education and Human Resource Studies, University of Ghana, Accra, Ghana.
Doris Ottie-BoakyeDepartment of Health Policy, Planning and Management, School of Public Health, College of Health Sciences, University of Ghana, Accra.
Gloria Akosua AnsaDepartment of Public Health, University of Ghana Health Services, Accra, Ghana.
Nana Nimo Appiah-AgyekumDepartment of Public Administration and Health Services Management, University of Ghana Business School, Accra, Ghana.
University of Ghana · GHGhana Health Service · GH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Although healthcare professionals are on the "frontline" of providing effective and quality healthcare delivery, they face several occupational risks when giving care, particularly during a global health crisis. This study examines healthcare workers' compliance with COVID-19 safety protocols and identifies factors associated with their perceived risk of COVID-19. Between October and December 2020, this cross-sectional survey utilized online and paper-type questionnaires in data collection. Non-probability sampling techniques were used in selecting clinical and non-clinical healthcare workers in various health facilities within 4 regions of Ghana. Logistic regression analysis was performed to identify the factors associated with the perceived risk of COVID-19. The results showed that healthcare workers are highly compliant with hand hygiene practices and wearing PPE. The category of health professional, number of working years, type of health facility, region of work, frequency of COVID-19 test, and compliance with hand hygiene practices were significantly associated with healthcare workers' perception of risk of COVID-19 at

Indexed as

complianceCOVID-19Ghanahealthcare workersperceived risk

Identifiers

PMID37362910
PMCPMC10285691
OpenAlexW4381664481

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.