Frontline Healthcare Workers’ Knowledge and Perception of COVID-19, and Willingness to Work during the Pandemic in Nepal
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Abstract
This study investigated the contextual factors associated with the knowledge, perceptions, and the willingness of frontline healthcare workers (FHWs) to work during the COVID-19 pandemic in Nepal among a total of 1051 FHWs. Multivariable logistic regression analysis was applied to identify independent associations between predictors and outcome variables. Of the total study subjects, 17.2% reported inadequate knowledge on COVID-19, 63.6% reported that they perceived the government response as unsatisfactory, and 35.9% showed an unwillingness to work during the pandemic. Our analyses demonstrated that FHWs at local public health facilities, pharmacists, Ayurvedic health workers (HWs), and those with chronic diseases were less likely, and male FHWs were more likely, to have adequate knowledge of COVID-19. Likewise, nurses/midwives, public health workers, FHWs from Karnali and Far-West provinces, and those who had adequate knowledge of COVID-19 were more likely to have satisfactory perceptions towards the government response. Further, FHWs—paramedics, nurse/midwives, public health workers, laboratory workers—FHWs from Karnali Province and Far-West Province, and those with satisfactory perceptions of government responses to COVID-19 were predictors of willingness to work during the COVID-19 pandemic. These results suggest that prompt actions are required to improve FHWs’ knowledge of COVID-19, address negative perceptions of government responses, and motivate them through specific measures to provide healthcare services during the pandemic.
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SciScore for 10.1101/2020.08.12.20173609: (What is this?)
Please note, not all rigor criteria are appropriate for all manuscripts.
Table 1: Rigor
Institutional Review Board Statement not detected. Randomization not detected. Blinding not detected. Power Analysis Fischer’s arctanh transformation as a power of 90% and a minimum correlation of 0.1[16], showed that the minimum sample size required was n=1046. Sex as a biological variable not detected. Table 2: Resources
No key resources detected.
Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).
Results from LimitationRecognizer: We detected the following sentences addressing limitations in the study:In addition, HWs with a chronic disease considered they had inadequate knowledge of COVID19, …
SciScore for 10.1101/2020.08.12.20173609: (What is this?)
Please note, not all rigor criteria are appropriate for all manuscripts.
Table 1: Rigor
Institutional Review Board Statement not detected. Randomization not detected. Blinding not detected. Power Analysis Fischer’s arctanh transformation as a power of 90% and a minimum correlation of 0.1[16], showed that the minimum sample size required was n=1046. Sex as a biological variable not detected. Table 2: Resources
No key resources detected.
Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).
Results from LimitationRecognizer: We detected the following sentences addressing limitations in the study:In addition, HWs with a chronic disease considered they had inadequate knowledge of COVID19, perhaps because time limitations imposed by pre-existing conditions restricted studies about COVID-19. This study shows that the professional category, province, type of health facility, and knowledge of COVID-19 were significantly associated with frontline health workers’ satisfaction with government response to the pandemic. Nurses were found to be more likely to be satisfied with government response than counterpart frontline doctors. This perception difference might have been due to the differences between levels of technical knowledge among doctors, nurses, and public health workers. Furthermore, health workers from Karnali and Sudurpaschim Provinces were more likely to be satisfied with government response than HWs from Bagmati province. However, the reasons responsible for these provincial variations were not determined. In addition, HWs from local public health facilities, teaching hospitals, and private hospitals had unsatisfactory perceptions than managerial level HWs at the ministry level, which we attribute to different work experiences, as HWs at health service outlets are directly exposed to risks and better understand the risks posed by logistical shortfalls than managerial level HWs. Interestingly, HWs with adequate knowledge of COVID-19 were more satisfied with government response than HWs with inadequate knowledge. Interestingly, health workers professional category,...
Results from TrialIdentifier: No clinical trial numbers were referenced.
Results from Barzooka: We did not find any issues relating to the usage of bar graphs.
Results from JetFighter: We did not find any issues relating to colormaps.
Results from rtransparent:- Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
- Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
- No protocol registration statement was detected.
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