Introduction The COVID-19 pandemic has compounded the global crisis of stress and burnout among healthcare workers. But few studies have empirically examined the factors driving these outcomes in Africa. Our study examined associations between perceived preparedness to respond to the COVID-19 pandemic and healthcare worker stress and burnout and identified potential mediating factors among healthcare workers in Ghana. Methods Healthcare workers in Ghana completed a cross-sectional self-administered online survey from April to May 2020; 414 and 409 completed stress and burnout questions, respectively. Perceived preparedness, stress, and burnout were measured using validated psychosocial scales. We assessed associations using linear regressions with robust standard errors. Results The average score for preparedness was 24 (SD = 8.8), 16.3 (SD = 5.9) for stress, and 37.4 (SD = 15.5) for burnout. In multivariate analysis, healthcare workers who felt somewhat prepared and prepared had lower stress (β = -1.89, 95% CI: -3.49 to -0.30 and β = -2.66, 95% CI: -4.48 to -0.84) and burnout (β = -7.74, 95% CI: -11.8 to -3.64 and β = -9.25, 95% CI: -14.1 to –4.41) scores than those who did not feel prepared. Appreciation from management and family support were associated with lower stress and burnout, while fear of infection was associated with higher stress and burnout. Fear of infection partially mediated the relationship between perceived preparedness and stress/burnout, accounting for about 16 to 17% of the effect. Conclusions Low perceived preparedness to respond to COVID-19 increases stress and burnout, and this is partly through fear of infection. Interventions, incentives, and health systemic changes to increase healthcare workers’ morale and capacity to respond to the pandemic are needed.

The COVID-19 pandemic has affected job satisfaction among healthcare workers; yet this has not been empirically examined in sub-Saharan Africa (SSA). We addressed this gap by examining job satisfaction and associated factors among healthcare workers in Ghana and Kenya during the COVID-19 pandemic. We conducted a cross-sectional study with healthcare workers (N = 1012). The two phased data collection included: (1) survey data collected in Ghana from April 17 to May 31, 2020, and (2) survey data collected in Ghana and Kenya from November 9, 2020, to March 8, 2021. We utilized a quantitative measure of job satisfaction, as well as validated psychosocial measures of perceived preparedness, stress, and burnout; and conducted descriptive, bivariable, and multivariable analysis using ordered logistic regression. We found high levels of job dissatisfaction (38.1%), low perceived preparedness (62.2%), stress (70.5%), and burnout (69.4%) among providers. High perceived preparedness was positively associated with higher job satisfaction (adjusted proportional odds ratio (APOR) = 2.83, CI [1.66,4.84]); while high stress and burnout were associated with lower job satisfaction (APOR = 0.18, CI [0.09,0.37] and APOR = 0.38, CI [0.252,0.583] for high stress and burnout respectively). Other factors positively associated with job satisfaction included prior job satisfaction, perceived appreciation from management, and perceived communication from management. Fear of infection was negatively associated with job satisfaction. The COVID-19 pandemic has negatively impacted job satisfaction among healthcare workers. Inadequate preparedness, stress, and burnout are significant contributing factors. Given the already strained healthcare system and low morale among healthcare workers in SSA, efforts are needed to increase preparedness, better manage stress and burnout, and improve job satisfaction, especially during the pandemic.

Introduction: Healthcare workers' (HCWs) preparedness to respond to pandemics is critical to containing disease spread. Low-resource countries, however, experience barriers to preparedness due to limited resources. In Ghana, a country with a constrained healthcare system and high COVID-19 cases, we examined HCWs' perceived preparedness to respond to COVID-19 and associated factors. Methods: 472 HCWs completed questions in a cross-sectional self-administered online survey. Perceived preparedness was assessed using a 15-question scale (Cronbach alpha=0.91) and summative scores were created (range=0-45). Higher scores meant greater perceived preparedness. We used linear regression with robust standard errors to examine associations between perceived preparedness and potential predictors. Results: The average preparedness score was 24 (SD=8.9); 27.8% of HCWs felt prepared. In multivariate analysis, factors associated with higher perceived preparedness were: training (β=3.35, 95%CI: 2.01 to 4.69); having adequate PPE (β=2.27, 95%CI: 0.26 to 4.29), an isolation ward (β=2.74, 95%CI: 1.15 to 4.33), and protocols for screening (β=2.76, 95%CI: 0.95 to 4.58); and good perceived communication from management (β=5.37, 95%CI: 4.03 to 7.90). When added to the model, perceived knowledge decreased the effect of training by 28.0%, although training remained significant, suggesting a partial mediating role. Perceived knowledge was associated with a 6-point increase in perceived preparedness score (β=6.04, 95%CI: 4.19 to 7.90). Conclusion: HCWs reported low perceived preparedness to respond to COVID-19. Training, clear protocols, PPE availability, isolation wards, and communication play an important role in increasing preparedness. Government stakeholders must institute necessary interventions to increase HCWs' preparedness to respond to the ongoing pandemic and prepare for future pandemics.

Background: Healthcare workers' (HCWs) preparedness to respond to pandemics is critical to containing disease spread. Low-and middle-income countries, however, experience barriers to preparedness due to limited resources. In Ghana, a country with a constrained healthcare system, we examined HCWs' perceived preparedness to respond to coronavirus disease 2019 (COVID-19) and associated factors. Methods: The 472 HCWs completed questions in a cross-sectional self-administered online survey. Perceived preparedness was assessed using a 15-question scale (Cronbach alpha = 0.91) and summative scores were created (range = 0-45). Higher scores meant greater perceived preparedness, with scores ≥ 30 considered prepared. We used linear regression with robust standard errors to examine associations between perceived preparedness and potential predictors. Results: About 27.8% of HCWs felt prepared to respond to COVID-19. The average perceived preparedness score was 24 (standard deviation = 8.9). In multivariate analysis, factors associated with higher perceived preparedness were: training (β = 3.35, 95% confidence interval [CI], 2.01-4.69); having adequate personal protective equipment (PPE; β = 2.27, 95% CI, 0.26, 4.29), an isolation ward (β = 2.74, 95% CI, 1.15, 4.33), and protocols for screening (β = 2.76, 95% CI, 0.95, 4.58); and good perceived communication from management (β = 5.37, 95% CI, 4.03, 7.90). When added to the model, perceived knowledge decreased the effect of training by 28.0%, although training remained significant, suggesting a partial mediating role. Perceived knowledge was associated with a 6-point increase in perceived preparedness score (β = 6.04, 95% CI, 4.19, 7.90). Conclusion: HCWs reported low perceived preparedness to respond to COVID-19. Training, clear protocols, PPE availability, isolation wards, and communication play an important role in increasing preparedness. Government and other stakeholders must institute interventions to increase HCWs' preparedness to respond to the ongoing pandemic and prepare for future pandemics.

SUMMARYObjective: To determine the prevalence, social demographic characteristics and types of pelvic organ prolapse that patients present with at the Tamale Teaching Hospital (TTH). Methods: A descriptive study of pelvic organ prolapses at the Tamale Teaching Hospital from 1 st January 2010 to 31 st December 2011. Results: The 118 pelvic organ prolapse cases constituted (2.68%) of the 4403 gynaecological out-patient cases seen during the two year study period. The mean age and standard deviation was (45.9± 15.1) and the modal age group was 30-39 years with 32 (27.1%) of cases. There were 112 (94.9%) cases of uterine prolapse, 95 (80.5%) had cystocele, 16 (13.5%) patients had rectoceles and 3 (2.5%) had enterocele. Their main occupations were trading 66 (55.9%) and farming 44 (37.3%), seventy (62.5%) of the patients with uterine prolapse were premenopausal while (10) 14.3% of the premenopausal cases had an ongoing pregnancy. The parity ranged from zero to 13 with mean and standard deviation of (4.4±1.7). Fifty five (46.6%) were from the Tamale metropolis and only 12 (10.5%) had all their deliveries in hospital. The commonest complication was decubitus ulcer present in 20 (16.9%) patients, 16(80%) of it in patients with procedentia. Conclusion: Pelvic organ prolapse is not a rare gynaecological condition at the Tamale Teaching Hospital. The patients are relatively young and are from various districts in the northern region. Some occupational, socio-cultural practices and reproductive characteristics may be contributory to severity of pelvic organ prolapse.