Characterization of COVID-19 cases in the early phase (March to July 2020) of the pandemic in Kenya.

Background: Kenya detected the first case of COVID-19 on March 13, 2020, and as of July 30, 2020, 17 975 cases with 285 deaths (case fatality rate (CFR) = 1.6%) had been reported. This study described the cases during the early phase of the pandemic to provide information for monitoring and response planning in the local context. Methods: We reviewed COVID-19 case records from isolation centres while considering national representation and the WHO sampling guideline for clinical characterization of the COVID-19 pandemic within a country. Socio-demographic, clinical, and exposure data were summarized using median and mean for continuous variables and proportions for categorical variables. We assigned exposure variables to socio-demographics, exposure, and contact data, while the clinical spectrum was assigned outcome variables and their associations were assessed. Results: A total of 2796 case records were reviewed including 2049 (73.3%) male, 852 (30.5%) aged 30-39 years, 2730 (97.6%) Kenyans, 636 (22.7%) transporters, and 743 (26.6%) residents of Nairobi City County. Up to 609 (21.8%) cases had underlying medical conditions, including hypertension (n = 285 (46.8%)), diabetes (n = 211 (34.6%)), and multiple conditions (n = 129 (21.2%)). Out of 1893 (67.7%) cases with likely sources of exposure, 601 (31.8%) were due to international travel. There were 2340 contacts listed for 577 (20.6%) cases, with 632 contacts (27.0%) being traced. The odds of developing COVID-19 symptoms were higher among case who were aged above 60 years (odds ratio (OR) = 1.99, P = 0.007) or had underlying conditions (OR = 2.73, P < 0.001) and lower among transport sector employees (OR = 0.31, P < 0.001). The odds of developing severe COVID-19 disease were higher among cases who had underlying medical conditions (OR = 1.56, P < 0.001) and lower among cases exposed through community gatherings (OR = 0.27, P < 0.001). The odds of survival of cases from COVID-19 disease were higher among transport sector employees (OR = 3.35, P = 0.004); but lower among cases who were aged ≥60 years (OR = 0.58, P = 0.034) and those with underlying conditions (OR = 0.58, P = 0.025). Conclusion: The early phase of the COVID-19 pandemic demonstrated a need to target the elderly and comorbid cases with prevention and control strategies while closely monitoring asymptomatic cases.

eHealth or e-Chaos: The use of Digital Health Interventions for Health Systems Strengthening in sub-Saharan Africa over the last 10 years: A scoping review.

Background: Digital health solutions are a potent and complementary intervention in health system strengthening to accelerate universal access to health services. Implementing scalable, sustainable, and integrated digital solutions in a coordinated manner is necessary to experience the benefits of digital interventions in health systems. We sought to establish the breadth and scope of available digital health interventions (DHIs) and their functions in sub-Saharan Africa. Methods: We conducted a scoping review according to the Joanne Briggs Institute's reviewers manual and followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses - Extension for Scoping Reviews (PRISMA-ScR) checklist and explanation. We retrieved data from the WHO Digital Health Atlas (DHA), the WHO e-Health country profiles report of 2015, and electronic databases. The protocol has been deposited in an open-source platform - the Open Science Framework at https://osf.io/5kzq7. Results: The researchers retrieved 983 digital tools used to strengthen health systems in sub-Saharan Africa over the past 10 years. We included 738 DHIs in the analysis while 245 were excluded for not meeting the inclusion criteria. We observed a disproportionate distribution of DHIs towards service delivery (81.7%, n = 603), health care providers (91.8%, n = 678), and access and use of information (84.1%, n = 621). Fifty-three percent (53.4%, n = 394) of the solutions are established and 47.5% (n = 582) were aligned to 20% (n = 5) of the system categories. Conclusions: Sub-Saharan Africa is endowed with digital health solutions in both numbers and distinct functions. It is lacking in coordination, integration, scalability, sustainability, and equitable distribution of investments in digital health. Digital health policymakers in sub-Saharan Africa need to urgently institute coordination mechanisms to terminate unending duplication and disjointed vertical implementations and manage solutions for scale. Central to this would be to build digital health leadership in countries within SSA, adopt standards and interoperability frameworks; advocate for more investments into lagging components, and promote multi-purpose solutions to halt the seeming "e-chaos" and progress to sustainable e-health solutions.

Cross country lessons sharing on practices, challenges and innovation in primary health care revitalization and universal health coverage implementation among 18 countries in the WHO African Region.

The fifth health sector directors´ policy and planning meeting for the World Health Organization (WHO) regional office for Africa convened to focus on building health system resilience during the COVID-19 pandemic to ensure continuity of essential health services, primary health care (PHC) revitalization, and health system strengthening towards achieving universal health coverage (UHC). In this paper, we present short summaries and experiences shared by 18 countries, for which their practices and outcomes have been documented in this manuscript. These actions are aligned with six key themes: (i) defining and making more essential health services available, (ii) increasing service coverage targeting hard to reach populations, (iii) financial risk protection, (iv) improving user satisfaction with services, (v) improving health security, and (vi) improving coverage with health-related sector services. It is through these shared country experiences that lessons are learned that can influence the region´s work and advancement to achieve UHC through a PHC approach.

Assessing the cost-effectiveness of measles elimination in Uganda: local impact of a global eradication program.

BACKGROUND: Measles control has succeeded worldwide, and many countries have substantially reduced incidence and mortality. This has led to consideration of the feasibility of measles elimination in Uganda within the context of global eradication. Before an elimination program is initiated, it is important to consider its potential economic impact, including its cost-effectiveness. METHODS: Incremental cost-effectiveness ratios (ICERs) were estimated for measles mortality reduction and measles elimination in Uganda. A dynamic age-structured compartmental model of measles transmission was used to simulate scenarios and estimate health outcomes and costs. The main outcome measures were costs, measles cases, measles deaths, disability-adjusted life-years (DALYs), and ICERs measured as cost per DALY averted through either the year 2030 or 2050. RESULTS: Measles elimination by 2020 averted 130,232 measles cases, 3520 measles deaths, and 106,330 DALYs through the year 2030, compared with the next best scenario (95% mortality reduction by 2015), and it was the most cost-effective strategy, with ICERs of $556 per DALY averted (2030 time horizon) and $284 per DALY averted (2050 time horizon). CONCLUSIONS: Measles elimination in Uganda, as part of a global eradication program, is projected to be highly cost-effective and should be considered among the available policy options for dealing with the disease.

Understanding the impact of eliminating user fees: utilization and catastrophic health expenditures in Uganda.

There is currently considerable discussion between governments, international agencies, bilateral donors and advocacy groups on whether user fees levied at government health facilities in poor countries should be abolished. It is claimed that this would lead to greater access for the poor and reduce the risks of catastrophic health expenditures if all other factors remained constant, though other factors rarely remain constant in practice. Accordingly, it is important to understand what has actually happened when user fees have been abolished, and why. All fees at first level government health facilities in Uganda were removed in March 2001. This study explores the impact on health service utilization and catastrophic health expenditures using data from National Household Surveys undertaken in 1997, 2000 and 2003. Utilization increased for the non-poor, but at a lower rate than it had in the period immediately before fees were abolished. Utilization among the poor increased much more rapidly after the abolition of fees than beforehand. Unexpectedly, the incidence of catastrophic health expenditure among the poor did not fall. The most likely explanation is that frequent unavailability of drugs at government facilities after 2001 forced patients to purchase from private pharmacies. Informal payments to health workers may also have increased to offset the lost revenue from fees. Countries thinking of removing user charges should first examine what types of activities and inputs at the facility level are funded from the revenue collected by fees, and then develop mechanisms to ensure that these activities can be sustained subsequently.