Evidence map›Paper›PMID 33762859›Full record

ArticleRisk management and healthcare policy2021

Predictors of Health-Care Workers' Unwillingness to Continue Working During the Peak of COVID-19 in Western Ethiopia: An Extended Parallel-Process Model Study.

Ashenafi Habte Woyessa, Adugna Oluma, Thanasekaran Palanichamy, Birtukan Kebede, Eba Abdissa, Busha Gamachu Labata, Tamirat Alemu, Lamessa Assefa

Open access · goldAbstract read
In one paragraph

Article in Risk management and healthcare policy, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
3.3field-weighted citation impact, top 7% 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

11 citing papers in PubMed, 12 citations in OpenAlex.

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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 1 institution in 1 country.

Ashenafi Habte WoyessaDepartment of Emergency and Critical Care Nursing, School of Nursing and Midwifery, Institute of Health Science, Wollega University, Nekemte, Oromia, Ethiopia.ORCID 0000-0001-8367-1421
Adugna OlumaDepartment of Nursing, Institute of Health Science, Wollega University, Nekemte, Oromia, Ethiopia.ORCID 0000-0003-4262-0585
Thanasekaran PalanichamyDepartment of Psychiatric Nursing, School of Nursing and Midwifery, Institute of Health Science, Wollega University, Nekemte, Oromia, Ethiopia.
Birtukan KebedeDepartment of Nursing, Institute of Health Science, Wollega University, Nekemte, Oromia, Ethiopia.
Eba AbdissaDepartment of Psychiatric Nursing, School of Nursing and Midwifery, Institute of Health Science, Wollega University, Nekemte, Oromia, Ethiopia.ORCID 0000-0002-7109-4708
Busha Gamachu LabataDepartment of Pharmacy, Institute of Health Science, Wollega University, Nekemte, Oromia, Ethiopia.
Tamirat AlemuDepartment of Nursing, Institute of Health Science, Wollega University, Nekemte, Oromia, Ethiopia.
Lamessa AssefaDepartment of Public Health, Institute of Health Science, Wollega University, Nekemte, Oromia, Ethiopia.
Wollega University · ET

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeWillingness to work in disasters is context-specific and corresponds to the nature, magnitude, and threats posed by a particular public health emergency. None us is certain that our health professionals will continue to provide service should the COVID-19 pandemic crisis climb to its worst level. It was with this uncertainty in mind that this study was done to assess predictors of the unwillingness of health-care workers (HCWs) to continue providing their professional services during the climax of the COVID-19 crisis.

methodsThis was a facility-based descriptive cross-sectional study undertaken among 633 HCWsin western Ethiopia.

resultsOverall, 205 (32.4%) providers said that they would be unwilling to continue work if COVID-19 peaked. Of these, 176 (27.9%) respondents reported that they would stop going in to work before they were at greatest risk. Statistical analysis performed to predict HCWs unwillingness' to continue work at peak COVID-19 showed male sex (AOR 11.4, 95% CI 8.32-12.6), younger age (AOR 25.3, 95% CI 4.61-40.67), lack of experience in handling similar pandemics (AOR 5.15, 95% CI 1.1-255), and low perceived level of hospital preparedness (AOR 2.05, 95% CI 0.80-5.21) were predictors of unwillingness. In accordance with the extended parallel-process model, higher threat perception (P≤0.001) and low efficacy perception (

conclusionThe proportion of HCWs unwilling to continue their job during COVID-19 is sufficient to affect efforts tof fight the pandemic. As the question of whether our HCWs must risk themselves to treat COVID-19 patients does not have a uniform answer, working on predictors of potential unwillingness is of paramount importance.

Indexed as

COVID-19health-care workerspandemicunwillingness

Identifiers

PMID33762859
PMCPMC7982702
OpenAlexW3139016787

What OpenQuestion holds

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LicenceCC BY-NC
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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.