This study examined the association between COVID-19 and fear of contracting COVID-19 and reasons for vaccination refusal. A population-based online survey was conducted via social media in Nigeria using the Fear of COVID-19 scale and items related to vaccination refusal/hesitancy items. Individuals aged 13 years and older were invited to participate. Data were analysed using binary logistic regression to calculate odds ratios (ORs) and associated 95% confidence intervals (CIs) at a p-value of less than 0.05. The study enrolled 577 individuals with a mean age of 31.86 years, 70% of whom were male and 27.7% of whom had received at least one dose of the vaccine against COVID-19. None of the variables on the Fear of COVID-19 scale significantly predicted vaccine uptake in multivariate analysis. However, individuals who were fearful of COVID-19 were more likely to be vaccinated in bivariate analysis (OR: 1.7, 95% CI: 1.06–2.63). The most significant factors among the vaccination refusal items associated with COVID-19 vaccination were doubts about vaccination (adjusted OR: 2.56, 95% CI: 1.57–4.17) and misconceptions about vaccine safety/efficacy (adjusted OR: 2.15, 95% CI: 1.24–3.71). These results suggest that uptake of the vaccine against COVID-19 in Nigeria can be predicted by factors associated with vaccination refusal, but not by fear of COVID-19. To contain the pandemic COVID-19 in Nigeria, efforts should be made to educate people about the efficacy of the vaccine and to increase their confidence in vaccination.

Hypertension is a significant global health problem, particularly in Sub-Saharan Africa (SSA). Despite the effectiveness of medications and lifestyle interventions in reducing blood pressure, shortfalls across health systems continue to impede progress in achieving optimal hypertension control rates. The current review explores the health system interventions on hypertension management and associated outcomes in SSA. The World Health Organization health systems framework guided the literature search and discussion of findings. We searched PubMed, CINAHL, and Embase databases for studies published between January 2010 and October 2022 and followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. We assessed studies for the risk of bias using the tools from the Joanna Briggs Institute. Twelve studies clustered in 8 SSA countries met the inclusion criteria. Two thirds (8/12) of the included studies had low risk of bias. Most interventions focused on health workforce factors such as providers’ knowledge and task shifting of hypertension care to unconventional health professionals (n = 10). Other health systems interventions addressed the supply and availability of medical products and technology (n = 5) and health information systems (n = 5); while fewer interventions sought to improve financing (n = 3), service delivery (n = 1), and leadership and governance (n = 1) aspects of the health systems. Health systems interventions showed varied effects on blood pressure outcomes but interventions targeting multiple aspects of health systems were likely associated with improved blood pressure outcomes. The general limitations of the overall body of literature was that studies were likely small, with short duration, and underpowered. In conclusion, the literature on health systems internventions addressing hypertension care are limited in quantity and quality. Future studies that are adequately powered should test the effect of multi-faceted health system interventions on hypertension outcomes with a special focus on financing, leadership and governance, and service delivery interventions since these aspects were least explored.

BackgroundHypertension is a significant global health problem, particularly in Sub-Saharan Africa (SSA). Despite the effectiveness of medications and lifestyle interventions in reducing blood pressure, shortfalls across health systems continue to impede progress in achieving optimal hypertension control rates. The current review explores health system factors contributing to hypertension outcomes in SSA.MethodsThe World Health Organization health systems framework guided the literature search and discussion of findings. We searched PubMed, CINAHL, and Embase databases for studies published between January 2010 and June 2022 and followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. We assessed studies for risk of bias using the tools from Joanna Briggs Institute.ResultsThirty-nine studies clustered in 10 SSA countries met inclusion criteria. Health system determinants included human resource factors such as providers’ knowledge and adherence to hypertension treatment guidelines (n=21) and task sharing and shifting strategies (n=10). The second health system factors explored in service delivery were the health facility type and capacity (n=7) and hypertension service accessibility by cost, place, and time of services (n=15). A quarter of the included studies explored supply chain management for access to essential equipment and medicines. An additional set of studies addressed quality improvement strategies involving cross-integration of services (n=7) and various strategies of gauging the systems for better hypertension outcomes (n=8).ConclusionA combination of multiple rather than solo system interventions may yield significant improvements in blood pressure outcomes. Health information management and leadership involvement were less explored. Additional research on health system determinants of hypertension is needed to drive global improvements in hypertension outcomes. Future research would benefit from more rigorous implementation type interventional studies comprehensively assessing health system factors that contribute to better hypertension outcomes.

(1) Background: people who migrate from low-to high-income countries are at an increased risk of weight gain, and excess weight is a risk factor for cardiovascular disease. Few studies have quantified the changes in body mass index (BMI) pre- and post-migration among African immigrants. We assessed changes in BMI pre- and post-migration from Africa to the United States (US) and its associated risk factors. (2) Methods: we performed a cross-sectional analysis of the African Immigrant Health Study, which included African immigrants in the Baltimore-Washington District of the Columbia metropolitan area. BMI category change was the outcome of interest, categorized as healthy BMI change or maintenance, unhealthy BMI maintenance, and unhealthy BMI change. We explored the following potential factors of BMI change: sex, age at migration, percentage of life in the US, perceived stress, and reasons for migration. We performed multinomial logistic regression adjusting for employment, education, income, and marital status. (3) Results: we included 300 participants with a mean (±SD) current age of 47 (±11.4) years, and 56% were female. Overall, 14% of the participants had a healthy BMI change or maintenance, 22% had an unhealthy BMI maintenance, and 64% had an unhealthy BMI change. Each year of age at immigration was associated with a 7% higher relative risk of maintaining an unhealthy BMI (relative risk ratio [RRR]: 1.07; 95% CI 1.01, 1.14), and compared to men, females had two times the relative risk of unhealthy BMI maintenance (RRR: 2.67; 95% CI 1.02, 7.02). Spending 25% or more of life in the US was associated with a 3-fold higher risk of unhealthy BMI change (RRR: 2.78; 95% CI 1.1, 6.97). (4) Conclusions: the age at immigration, the reason for migration, and length of residence in the US could inform health promotion interventions that are targeted at preventing unhealthy weight gain among African immigrants.