Achieving universal health coverage (UHC) involves all people receiving the health services they need, of high quality, without experiencing financial hardship. Making progress towards UHC is a policy priority for both countries and global institutions, as highlighted by the agenda of the UN Sustainable Development Goals (SDGs) and WHO's Thirteenth General Programme of Work (GPW13). Measuring effective coverage at the health-system level is important for understanding whether health services are aligned with countries' health profiles and are of sufficient quality to produce health gains for populations of all ages. Based on the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2019, we assessed UHC effective coverage for 204 countries and territories from 1990 to 2019. Drawing from a measurement framework developed through WHO's GPW13 consultation, we mapped 23 effective coverage indicators to a matrix representing health service types (eg, promotion, prevention, and treatment) and five population-age groups spanning from reproductive and newborn to older adults (≥65 years). Effective coverage indicators were based on intervention coverage or outcome-based measures such as mortality-to-incidence ratios to approximate access to quality care; outcome-based measures were transformed to values on a scale of 0-100 based on the 2·5th and 97·5th percentile of location-year values. We constructed the UHC effective coverage index by weighting each effective coverage indicator relative to its associated potential health gains, as measured by disability-adjusted life-years for each location-year and population-age group. For three tests of validity (content, known-groups, and convergent), UHC effective coverage index performance was generally better than that of other UHC service coverage indices from WHO (ie, the current metric for SDG indicator 3.8.1 on UHC service coverage), the World Bank, and GBD 2017. We quantified frontiers of UHC effective coverage performance on the basis of pooled health spending per capita, representing UHC effective coverage index levels achieved in 2019 relative to country-level government health spending, prepaid private expenditures, and development assistance for health. To assess current trajectories towards the GPW13 UHC billion target-1 billion more people benefiting from UHC by 2023-we estimated additional population equivalents with UHC effective coverage from 2018 to 2023. Globally, performance on the UHC effective coverage index improved from 45·8 (95% uncertainty interval 44·2-47·5) in 1990 to 60·3 (58·7-61·9) in 2019, yet country-level UHC effective coverage in 2019 still spanned from 95 or higher in Japan and Iceland to lower than 25 in Somalia and the Central African Republic. Since 2010, sub-Saharan Africa showed accelerated gains on the UHC effective coverage index (at an average increase of 2·6% [1·9-3·3] per year up to 2019); by contrast, most other GBD super-regions had slowed rates of progress in 2010-2019 relative to 1990-2010. Many countries showed lagging performance on effective coverage indicators for non-communicable diseases relative to those for communicable diseases and maternal and child health, despite non-communicable diseases accounting for a greater proportion of potential health gains in 2019, suggesting that many health systems are not keeping pace with the rising non-communicable disease burden and associated population health needs. In 2019, the UHC effective coverage index was associated with pooled health spending per capita (r=0·79), although countries across the development spectrum had much lower UHC effective coverage than is potentially achievable relative to their health spending. Under maximum efficiency of translating health spending into UHC effective coverage performance, countries would need to reach $1398 pooled health spending per capita (US$ adjusted for purchasing power parity) in order to achieve 80 on the UHC effective coverage index. From 2018 to 2023, an estimated 388·9 million (358·6-421·3) more population equivalents would have UHC effective coverage, falling well short of the GPW13 target of 1 billion more people benefiting from UHC during this time. Current projections point to an estimated 3·1 billion (3·0-3·2) population equivalents still lacking UHC effective coverage in 2023, with nearly a third (968·1 million [903·5-1040·3]) residing in south Asia. The present study demonstrates the utility of measuring effective coverage and its role in supporting improved health outcomes for all people-the ultimate goal of UHC and its achievement. Global ambitions to accelerate progress on UHC service coverage are increasingly unlikely unless concerted action on non-communicable diseases occurs and countries can better translate health spending into improved performance. Focusing on effective coverage and accounting for the world's evolving health needs lays the groundwork for better understanding how close-or how far-all populations are in benefiting from UHC. Bill & Melinda Gates Foundation.

Lassa fever is an acute viral haemorrhagic disease endemic in Nigeria. The 2018 Lassa fever outbreak in Nigeria was unprecedented, with 8% of all cases occurring among healthcare workers (HCWs). A disproportionately high number of these infections occurred in HCWs working in a tertiary health facility in Nigeria. This paper describes the cluster of Lassa fever infections among HCWs in a treatment centre and the lessons learnt. We analysed clinical, epidemiological and laboratory data from surveillance and laboratory records kept during the 2018 outbreak. Interviews were conducted with surviving HCWs using a questionnaire developed specifically for the investigation of Lassa fever infections in HCWs. Descriptive analysis of the data was performed in Microsoft excel. The index case was a 15-year-old male who presented at the health facility with fever and uncontrolled nasopharyngeal bleeding, following a recent uvulectomy by a traditional healer. Overall, 16 HCWs were affected (15 confirmed and 1 probable) with five deaths (CFR-31.6%). Of the 15 confirmed cases, five (33.3%) were asymptomatic. Nine HCWs were direct contacts of the index case; the remaining six HCWs had no direct contact with the index case. HCW interviews identified a low index of suspicion for Lassa fever leading to inadequate infection prevention and control (IPC) practices as possible contributing factors to nosocomial transmission. Maintaining a high index of suspicion for Lassa fever in all patients, especially in endemic areas, is essential in adhering to adequate IPC practices in health facilities in order to prevent nosocomial transmission of Lassa fever among HCWs. There is a need to continually train and sensitise HCWs on strict adherence to IPC measures while providing care, irrespective of a patient's provisional diagnosis.

Background: Lassa fever (LF) is an epidemic-prone zoonotic disease prevalent in Nigeria and Ebonyi State is a high burden area in Nigeria. Low risk perceptions have been reported to prevent appropriate preventive behaviours. We investigated the knowledge and risk perception of residents towards LF and determined the factors influencing their risk perception in communities that have reported confirmed cases of LF. Methods: We conducted a cross-sectional study in the affected wards in Abakaliki Local Government Area (LGA). We interviewed 356 adult respondents recruited across 6 settlements in 3 of the affected wards through multistage sampling technique. Information on participants’ knowledge of LF, their risk perception using the health belief model as well as factors influencing risk perception were obtained. We estimated the proportions of respondents with good knowledge and high risk perceptions. We also explored the relationship between risk perception, knowledge and sociodemographic characteristics using Chi Square and logistic regression at 5% level of significance. Results: The mean age of the participants was 33.3 ± 12.2 years, 208 (63.2%) were females, 230 (69.9%) were married and 104 (31.6%) had attained tertiary education. Though 99.1% were aware of LF infection, 50.3% among them had poor knowledge of LF symptoms and risk factors, 92.9% had high risk perception of severity, 72.4% had a high feeling of susceptibility towards LF infection, 82.5% had a high perceived self-efficacy towards LF infection, 63.5% had a low perceived benefit of LF preventive practices and 31.8% had high perceived barrier towards LF preventive practices. Good knowledge of LF was the only significant factor influencing risk perception; perceived severity: (COR: 3.0, 95%CI: 1.2–7.8), perceived susceptibility (AOR: 2.0, 95%CI: 1.25–3.3) and perceived benefit (COR: 2.1, 95%CI: 1.3–3.3). Conclusions: Good knowledge of LF influences risk perception towards LF which has great import on LF preventive practices. A gap exists in the content and acceptance of LF risk communication information in the LGA. There is a need to review the risk communication messages in the state towards LF in the community with special focus on the males and younger population.

Knowledge of antibiotic use and resistance among students of a medical school in Nigeria

Retaining patients on antiretroviral treatment in care is critical to sustaining the 90:90:90 vision. Nigeria has made some progress in placing HIV-positive patients on treatment. In an effort to increase access to treatment, ART decentralization has been implemented in the country. This is aimed at strengthening lower level health facilities to provide comprehensive antiretroviral treatment. We determined the level of retention and adherence to treatment as well as the associated factors among private and public secondary level hospitals in Anambra State. We conducted a cross-sectional study among patients who had taken antiretroviral treatment for at least one complete year. A structured questionnaire and patient record review were used to extract information on patient adherence to treatment, and retention in care. Adherence to treatment was ascertained by patient self-report of missed pills in the 30 days prior to date of interview. Retention in care was ascertained using the 3-month visit constancy method reviewing the period spanning 12 months prior to the study. We found a comparable level of retention in care (private 81.1%; public 80.3%; p = 0.722). However, treatment adherence was significantly higher amongst participants in the private hospitals compared to those in the public hospitals (private: 95.3%; public: 90.7%; p = 0.001). Determinants of good retention in the private hospitals included disclosure of one’s HIV status (AOR: 1.94, 95% CI: 1.09–3.46), being on first-line regimen (AOR: 3.07, 95% CI: 1.27–7.41), whereas being on once-daily regimen (AOR: 0.58, 95% CI: 0.36–0.92), and being currently married (AOR: 0.54 95% CI: 0.32–0.91) determined poor retention. In the public hospitals, only disclosure (AOR: 3.12 95% CI: 1.81–5.56) determined good retention, whereas, spending less than N1000 on transport (AOR: 0.230 95% CI: 0.07–0.78) and residing in a rural area (AOR: 0.64 95% CI: 0.41–0.99) determined poor retention. None of the factors determined adherence. Retention in care was high and comparable among the different hospital types and HIV disclosure status was an important factor relating to retention in care. The other factors that determined retention were however different at public and private hospitals. The HIV program manager should consider these variations in designing programs to improve patient retention in care and adherence to treatment.