Background Sustainable Development Goal (SDG) 3 aims to "ensure healthy lives and promote well-being for all at all ages". While a substantial effort has been made to quantify progress towards SDG3, less research has focused on tracking spending towards this goal. We used spending estimates to measure progress in financing the priority areas of SDG3, examine the association between outcomes and financing, and identify where resource gains are most needed to achieve the SDG3 indicators for which data are available. MethodsWe estimated domestic health spending, disaggregated by source (government, out-of-pocket, and prepaid private) from 1995 to 2017 for 195 countries and territories. For disease-specific health spending, we estimated spending for HIV/AIDS and tuberculosis for 135 low-income and middle-income countries, and malaria in 106 malaria-endemic countries, from 2000 to 2017. We also estimated development assistance for health (DAH) from 1990 to 2019, by source, disbursing development agency, recipient, and health focus area, including DAH for pandemic preparedness. Finally, we estimated future health spending for 195 countries and territories from 2018 until 2030. We report all spending estimates in inflation-adjusted 2019 US$, unless otherwise stated. FindingsSince the development and implementation of the SDGs in 2015, global health spending has increased, reaching $7•9 trillion (95% uncertainty interval 7•8-8•0) in 2017 and is expected to increase to $11•0 trillion (10•7-11•2) by 2030. In 2017, in low-income and middle-income countries spending on HIV/AIDS was $20•2 billion (17•0-25•0) and on tuberculosis it was $10•9 billion (10•3-11•8), and in malaria-endemic countries spending on malaria was $5•1 billion (4•9-5•4). Development assistance for health was $40•6 billion in 2019 and HIV/AIDS has been the health focus area to receive the highest contribution since 2004. In 2019, $374 million of DAH was provided for pandemic preparedness, less than 1% of DAH. Although spending has increased across HIV/AIDS, tuberculosis, and malaria since 2015, spending has not increased in all countries, and outcomes in terms of prevalence, incidence, and per-capita spending have been mixed. The proportion of health spending from pooled sources is expected to increase from 81•6% (81•6-81•7) in 2015 to 83•1% (82•8-83•3) in 2030.Interpretation Health spending on SDG3 priority areas has increased, but not in all countries, and progress towards meeting the SDG3 targets has been mixed and has varied by country and by target. The evidence on the scale-up of spending and improvements in health outcomes suggest a nuanced relationship, such that increases in spending do not always results in improvements in outcomes. Although countries will probably need more resources to achieve SDG3, other constraints in the broader health system such as inefficient allocation of resources across interventions and populations, weak governance systems, human resource shortages, and drug shortages, will also need to be addressed.Funding The Bill & ...

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...

Background: The human immunodeficiency virus (HIV) continues to be a major global public health problem with more than 35 million people worldwide infected so far. Evidence shows that HIV has been compromising the quality of life of people living with HIV (PLWH) even in this era of highly active anti-retroviral therapy (HAART). There has been little research into the quality of life of PLWH receiving HAART in Ethiopia. Purpose: The aim of this study was to assess the quality of life among PLWH attending anti-retroviral therapy at public health facilities of Arba Minch town, Southern Ethiopia, in 2019. Patients and methods: We conducted a cross-sectional study design on 391 randomly selected PLWH who were attending HAART. We used a systematic random sampling technique to select participants in public health facilities of Arba Minch town from February 16 to April 26, 2019. The interviewers administered a structured questionnaire consisting of the WHOQOL-HIV BREF tool to measure the quality of life. Socio-demographic variables of study participants were collected, together with variables related to their clinical status extracted from their clinical records. Percentage mean scores were calculated and the mean of percentage mean scores was taken as the cutoff to categorize participants into two groups representing poor and good quality of life. Simple binary logistic regression and multivariable logistic regression analyses were used to determine significant variables. All variables with p-value ≤ 0.25 in simple binary logistic regression were considered as eligible variables for multivariable logistic regression. Variables with p-value ≤ 0.05 in multivariable logistic regression were considered as predictor variables. Results: Out of the 391 enrolled adult PLWH, 184 of them (47.1%) had poor of overall quality of life status, as estimated by the WHOQOL-HIV BREF tool. Good quality of life was positively associated with recent CD4 count greater than or equal to 500 cell/mm 3 (AOR=1.96, 95% CI; 1.18-3.27), absence of depression (AOR=10.59, 95% CI; 6.16-18.21), normal body mass index (AOR=2.66, 95% CI; 1.18-3.27), social support (AOR= 6.18, 95% CI; 3.56-10.75) and no perceived stigma (AOR=2.75, 95% CI; 1.62-4.67). Conclusion: Nearly half of the adult PLWH receiving HAARTat Arba Minch town had poor quality of life. High CD4 count, lack of social support, depression, and perceived stigma were associated with poor quality of life of PLWH. PLWH should be encouraged to be part of structured social support systems, such as associations of people living with HIVand mother support groups, in order to improve their social and psychological health. The health system should give attention to counseling on chronic care adherence and nutritional support to improve the quality of life of PLWH receiving HAART.

Background Despite the efforts made by the government of Ethiopia, the community-based health insurance (CBHI) enrollment rate failed to reach the potential beneficiaries. Therefore, this study aimed to assess the enrollment status of households for community-based health insurance and associated factors in peripheral areas of Southern Ethiopia. Methods We conducted a community based cross-sectional study design with both quantitative and qualitative methods. Systematic random sampling was employed to select 820 households from 27, April to 12 June 2018. A pretested structured questionnaire, in-depth interview, and focus group discussion guiding tool were used to obtain information. A binary logistic regression model was used to assess the association between independent and outcome variables. A P-Value of less than 0.05 was taken as a cutoff to declare association in multivariable analysis. Qualitative data were analyzed manually using the thematic analysis method. Results Out of 820 households, 273[33.30%; 95% CI: 29.9–36.20] were enrolled in the community based health insurance scheme. Having good knowledge [AOR = 13.97, 95%CI: 8.64, 22.60], having family size of greater than five [AOR = 1.88, 95% CI: 1.15, 3.06], presence of frequently ill individual [AOR = 3.90, 95% CI: 2.03, 7.51] and presence of chronic illness [AOR = 3.64, 95% CI: 1.67, 7.79] were positively associated with CBHI enrollment. In addition, poor quality of care, lack of managerial commitment, lack of trust and transparency, unavailability of basic logistics and supplies were also barriers for CBHI enrollment. Conclusion and recommendation The study found that lower community based health insurance enrollment status. A higher probability of CBHI enrollment among higher health care demanding population groups was observed. Poor perceived quality of health care, poor managerial support and lack of trust were found to be barriers for non-enrollment. Therefore, wide-range awareness creation strategies should be used to address adverse selection and poor knowledge. In addition, trust should be built among communities through transparent management. Furthermore, the quality of care being given in public health facilities should be improved to encourage the community to be enrolled in CBHI.

Background Trachoma is the leading infectious cause of irreversible blindness. In areas where trachoma is endemic, active trachoma is common among preschool-aged children, with varying magnitude. There is a dearth of information on the prevalence of active trachoma among preschool-aged children (the most affected segment of the population). Purpose The study aimed to assess the prevalence of clinically active trachoma and its associated risk factors among preschool-aged children in Arba Minch Health and Demographic surveillance site, Southern Ethiopia. Patients and Methods A community-based cross-sectional study was conducted among 831 preschool-aged children from May 01 to June 16, 2019. A pre-tested and structured interviewer-administered Open Data Kit survey tool was used to collect data. The study participants were selected using a simple random sampling technique by allocating a proportion to each kebeles. Both bivariable and multivariable logistic regression analyses 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. Results The overall prevalence of clinically active trachoma among preschool-aged children was 17.8% with 95% CI (15%, 20%). Time taken to obtain water for greater than thirty minutes (AOR=2.8,95% CI: 1.62, 5.09), presence of animal pens in the living compound (AOR=5.1, 95% CI: 3.15, 8.33), improper solid waste disposal (AOR=7.8,95% CI: 4.68,13.26), improper latrine utilization (AOR=2.5, 95% CI: 1.63,3.94), a child with unclean face (AOR=3.5, 95% CI: 2.12,5.97) had higher odds of active trachoma. Conclusion The prevalence of clinically active trachoma among pre-school aged children was high. “Facial cleanliness” and “Environmental improvement” components of the SAFE strategy are vital components in working towards the 2020 target of eliminating trachoma. Therefore, stakeholders at different hierarchies need to exert continuing efforts to integrate the trachoma prevention and control programs with other public health programs, with water sanitation and hygiene programs and with the education system.