Summary Background 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. Methods 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. Findings 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,...

Purpose: With prevention being the only and best available intervention, COVID-19 has recently become a global threat, having had and continuing to have enormous health, economic, and societal impacts. Evidence so far has documented a heightened risk of mortality to people with chronic conditions. There is a dearth of evidence regarding chronic disease patients' intention and practice on the preventive measures. This study tried to fill this gap by assessing the intention to practice and practice on personal preventive measures (PPMs) among adults with chronic conditions. Materials and Methods: A facility-based cross-sectional study was conducted in Southern Ethiopia among 806 adults with chronic conditions by employing a multistage sampling technique. Data were collected using a pre-tested and structured questionnaire. Statistical analysis was done using IBM SPSS software version 25. Binary logistic regression analysis was done to identify factors associated with intention and practice. Level of statistical significance was declared at a P-value of less than 0.05. Results: The study showed that 52% (95% CI=47.61-54.80) and 76.3% (95% CI=73.36-79.24) of adults with chronic conditions were intending to practice and had ever practiced the personal preventive measures. Participants' subjective norm (SN) (AOR=4.94; 95% CI=3.49-6.96) and perceived behavioral control (PBC) (AOR=4.13; 95% CI=2.69-6.34) were the factors associated with their intention. Good knowledge and a positive attitude were found to be significant factors associated with the participants' actual practice of the PPMs among other independent factors. Conclusion: Around half of the participants were intending to practice PPMs, and threequarters had good practice on the PPMs against COVID-19. Interventions targeted to improve intention and practice on the PPMs need to take into account improving knowledge and attitude, and build positive subjective norms and heighten the confidence to control the preventive behaviors.

Background: Healthcare workers (HCWs) are among the many groups of people who are in the frontline caring for people and facing heavy workloads, life-or-death decisions, risk of infection, and have been facing various psychosocial problems. So, monitoring mental health issues to understand the mediating factors and inform evidence-based interventions in a timely fashion is vital. Purpose: This study aimed to assess generalized anxiety disorder and its associated factors among HCWs fighting COVID-19 in Southern Ethiopia. Patients and Methods: An institution-based cross-sectional study was conducted among 798 HCWs from 20 May to 20 June 2020. A pre-tested and structured intervieweradministered KOBO collect survey tool was used to collect data. The study participants were selected using a simple random sampling technique by allocating a proportion to each health institute. The association between the level of generalized anxiety disorder and its independent variables was examined by ordinal logistic regression. Assumptions for the proportional odds model were checked using parallel line tests. An adjusted proportional odds ratio with a 95% CI was used to calculate the strength of the statistical association between the independent and dependent variables. Results: The prevalence of mild and moderate anxiety disorder among HCWs was 29.3% and 6.3%, respectively. Contact with confirmed or suspected cases (aPOR =1.97; 95% CI: 1.239, 3.132), no COVID-19 updates (aPOR=4.816, 95% CI=2.957, 7.842), no confidence on coping with stresses (aPOR=2.74, 95% CI=1.633, 4.606), and COVID-19-related worry (aPOR=1.85, 95% CI=1.120, 3.056) were positively associated with higher-order anxiety disorder. However, not feeling overwhelmed by the demands of everyday life (aPOR=0.52, 95% CI=0.370, 0.733) and feeling cannot make it (aPOR=0.44, 95% CI=0.308, 0.626) were negatively associated with a higher order of anxiety. Conclusion: The study revealed that the prevalence of anxiety disorder among HCWs was high in the study area. The findings of the current study suggest immediate psychological intervention for health care workers in the study area is vital. Therefore, proactive measures should be taken by the stakeholders at different hierarchies to promote the psychological wellbeing of HCWs in order to control the impact of the pandemic on the HCWs, and containing the pandemic.

Summary Background High-resolution estimates of HIV burden across space and time provide an important tool for tracking and monitoring the progress of prevention and control efforts and assist with improving the precision and efficiency of targeting efforts. We aimed to assess HIV incidence and HIV mortality for all second-level administrative units across sub-Saharan Africa. Methods In this modelling study, we developed a framework that used the geographically specific HIV prevalence data collected in seroprevalence surveys and antenatal care clinics to train a model that estimates HIV incidence and mortality among individuals aged 15–49 years. We used a model-based geostatistical framework to estimate HIV prevalence at the second administrative level in 44 countries in sub-Saharan Africa for 2000–18 and sought data on the number of individuals on antiretroviral therapy (ART) by second-level administrative unit. We then modified the Estimation and Projection Package (EPP) to use these HIV prevalence and treatment estimates to estimate HIV incidence and mortality by second-level administrative unit. Findings The estimates suggest substantial variation in HIV incidence and mortality rates both between and within countries in sub-Saharan Africa, with 15 countries having a ten-times or greater difference in estimated HIV incidence between the second-level administrative units with the lowest and highest estimated incidence levels. Across all 44 countries in 2018, HIV incidence ranged from 2·8 (95% uncertainty interval 2·1–3·8) in Mauritania to 1585·9 (1369·4–1824·8) cases per 100 000 people in Lesotho and HIV mortality ranged from 0·8 (0·7–0·9) in Mauritania to 676·5 (513·6–888·0) deaths per 100 000 people in Lesotho. Variation in both incidence and mortality was substantially greater at the subnational level than at the national level and the highest estimated rates were accordingly higher. Among second-level administrative units, Guijá District, Gaza Province, Mozambique, had the highest estimated HIV incidence (4661·7 [2544·8–8120·3]) cases per 100 000 people in 2018 and Inhassunge District, Zambezia Province, Mozambique, had the highest estimated HIV mortality rate (1163·0 [679·0–1866·8]) deaths per 100 000 people. Further, the rate of reduction in HIV incidence and mortality from 2000 to 2018, as well as the ratio of new infections to the number of people living with HIV was highly variable. Although most second-level administrative units had declines in the number of new cases (3316 [81·1%] of 4087 units) and number of deaths (3325 [81·4%]), nearly all appeared well short of the targeted 75% reduction in new cases and deaths between 2010 and 2020. Interpretation Our estimates suggest that most second-level administrative units in sub-Saharan Africa are falling short of the targeted 75% reduction in new cases and deaths by 2020, which is further compounded by substantial within-country variability...

Introduction Health care professionals are at higher risk of developing stress-related problems during outbreaks, due to the overwhelming clinical workload, fear of contagion, and inadequate protective gears. So, in order to monitoring mental health issues and to understand the factors evidence-based interventions is important. Therefore, this study was aimed to assess perceived stress and associated factors among health care professionals working in the context of COVID-19, Southern Ethiopia. Methods Institution based cross-sectional study was conducted among 798 health care professionals from the 1st May to 1st June 2020. The study participants were selected using simple random sampling technique after allocating a proportion to each health institute based on the size of health care professionals. A pre-tested and structured interviewer-administered questionnaire using KOBO collect survey tool was used to collect data. A total score of >20 points was considered as the cut off for experiencing perceived stress based on perceived stress scale. Both bivariable and multivariable logistic regression analysis were performed to identify associated factors. The level of statistical significance was set at a p-value of less than 0.05 in multivariable logistic regression. Result Nearly two-thirds 61.8% (95% CI: 58.4%, 65.2%) of HCPs had perceived stress. Not having COVID-19 updated information (AOR = 2.41, 95% CI: 1.31, 4.43), not at all confident on coping with stress (AOR = 9.94, 95% CI:3.74, 26.41), somewhat confident in coping with stress (AOR = 4.69, 95% CI:2.81, 7.84), moderately confident on coping with stress (AOR = 2.36, 95% CI: 1.46, 3.82), and not getting along well with people (AOR = 4.88, 95% CI: 1.42, 16.72) were positively association with perceived stress. However, feeling overwhelmed by the demand of everyday life (AOR = 0.52 95% CI: 0.35, 0.77) and worrying about what other people think about them (AOR = 0.48, 95% CI: 0.24, 0.81) were negatively associated with perceived stress. Conclusion COVID-19 update, confidence in coping with stress, getting along with people, worrying about what other people think about them, and feeling overwhelmed by the demand of everyday life were factors significantly associated with perceived stress. The provision of COVID-19 update to HCPs along with wider strategies to support their psychological wellbeing is vital.