ABSTRACT
Background and Aims: The COVID-19 pandemic has stretched many healthcare systems, and it is having detrimental impacts on healthcare workers at the forefront, fighting to save lives. This study sought to assess the relationship between job factors and the perceived risk of contracting COVID-19 at the workplace among healthcare workers and how the relationships are augmented when sociodemographic characteristics are taken into consideration in a limited resource setting (Ghana). Methods: A cross-sectional survey of 455 respondents was conducted. Results: Overall, 5.93% of the respondents perceived low risk of contracting COVID-19 while 69.45% and 24.62% perceived medium and high risks of contracting COVID-19 at the workplace, respectively. The odds of a high perceived risk versus the combined medium and low perceived risk of contracting COVID-19 at the workplace was 0.461 times lower for healthcare workers who rated their workplace safety systems as good and 0.515 and 0.170 times lower for healthcare workers who indicated occasional and frequent work environment situational assessment (situational awareness), respectively. The odds of high perceived risk were 2.239 times higher for workers who are always emotionally fatigued and 1.829 times higher for healthcare workers who frequently contribute personally to workplace decision-making. The perceived risk of contracting COVID-19 at the workplace was also 1.780 times higher for healthcare workers with tertiary education. Conclusion: In terms of health and safety at work, this study recommends that there should be an improvement in implementing safety protocols at health facilities to increase the confidence of healthcare workers. Furthermore, social and psychological support and work environment situational assessment, which can reduce stress and anxiety levels among the healthcare workers, should be implemented if contributing factors such as working outside their area of expertise or job scope cannot be eliminated.
ABSTRACT
INTRODUCTION: The coronavirus 2019 (COVID-19) has overwhelmed the health systems of several countries, particularly those within the African region. Notwithstanding, the relationship between health systems and the magnitude of COVID-19 in African countries have not received research attention. In this study, we investigated the relationship between the pervasiveness of the pandemic across African countries and their Global Health Security Index (GHSI) scores. MATERIALS AND METHODS: The study included 54 countries in five regions viz Western (16); Eastern (18); Middle (8); Northern (7); and Southern (5) Africa. The outcome variables in this study were the total confirmed COVID-19 cases (per million); total recoveries (per million); and the total deaths (per million). The data were subjected to Spearman's rank-order (Spearman's rho) correlation to determine the monotonic relationship between each of the predictor variables and the outcome variables. The predictor variables that showed a monotonic relationship with the outcome were used to predict respective outcome variables using multiple regressions. The statistical analysis was conducted at a significance level of 0.05. RESULTS: Our results indicate that total number of COVID-19 cases (per million) has strong correlations (rs >0.5) with the median age; aged 65 older; aged 70 older; GDP per capita; number of hospital beds per thousand; Human Development Index (HDI); recoveries (per million); and the overall risk environment of a country. All these factors including the country's commitments to improving national capacity were related to the total number of deaths (per million). Also, strong correlations existed between the total recoveries (per million) and the total number of positive cases; total deaths (per million); median age; aged 70 older; GDP per capita; the number of hospital beds (per thousand); and HDI. The fitted regression models showed strong predictive powers (R-squared>99%) of the variances in the total number of COVID-19 cases (per million); total number of deaths (per million); and the total recoveries (per million). CONCLUSIONS: The findings from this study suggest that patient-level characteristics such as ageing population (i.e., 65+), poverty, underlying co-morbidities-cardiovascular disease (e.g., hypertension), and diabetes through unhealthy behaviours like smoking as well as hospital care (i.e., beds per thousand) can help explain COVID-19 confirmed cases and mortality rates in Africa. Aside from these, other determinants (e.g., population density, the ability of detection, prevention and control) also affect COVID-19 prevalence, deaths and recoveries within African countries and sub-regions.