Economic impact of tuberculosis mortality in 120 countries and the cost of not achieving the Sustainable Development Goals tuberculosis targets: a full-income analysis.

BACKGROUND: The tuberculosis targets for the UN Sustainable Development Goals (SDGs) call for a 90% reduction in tuberculosis deaths by 2030, compared with 2015, but meeting this target now seems highly improbable. To assess the economic impact of not meeting the target until 2045, we estimated full-income losses in 120 countries, including those due to excess deaths resulting from COVID-19-related disruptions to tuberculosis services, for the period 2020-50. METHODS: Annual mortality risk changes at each age in each year from 2020 to 2050 were estimated for 120 countries. This risk change was then converted to full-income risk by calculating a population-level mortality risk change and multiplying it by the value of a statistical life-year in each country and year. As a comparator, we assumed that current rates of tuberculosis continue to decline through the period of analysis. We calculated the full-income losses, and mean life expectancy losses per person, at birth and at age 35 years, under scenarios in which the SDG targets are met in 2030 and in 2045. We defined the cost of inaction as the difference in full-income losses and tuberculosis mortality between these two scenarios. FINDINGS: From 2020 to 2050, based on the current annual decrease in tuberculosis deaths of 2%, 31·8 million tuberculosis deaths (95% uncertainty interval 25·2 million-39·5 million) are estimated to occur, corresponding to an economic loss of US$17·5 trillion (14·9 trillion-20·4 trillion). If the SDG tuberculosis mortality target is met in 2030, 23·8 million tuberculosis deaths (18·9 million-29·5 million) and $13·1 trillion (11·2 trillion-15·3 trillion) in economic losses can be avoided. If the target is met in 2045, 18·1 million tuberculosis deaths (14·3 million-22·4 million) and $10·2 trillion (8·7 trillion-11·8 trillion) can be avoided. The cost of inaction of not meeting the SDG tuberculosis mortality target until 2045 (vs 2030) is, therefore, 5·7 million tuberculosis deaths (5·1 million-8·1 million) and $3·0 trillion (2·5 trillion-3·5 trillion) in economic losses. COVID-19-related disruptions add $290·3 billion (260·2 billion-570·1 billion) to this cost. INTERPRETATION: Failure to achieve the SDG tuberculosis mortality target by 2030 will lead to profound economic and health losses. The effects of delay will be greatest in sub-Saharan Africa. Affected countries, donor nations, and the private sector should redouble efforts to finance tuberculosis programmes and research because the economic dividend of such strategies is likely to be substantial. FUNDING: None.

Gazing through time and beyond the health sector: Insights from a system dynamics model of cardiovascular disease in Australia.

OBJECTIVE: To construct a whole-of-system model to inform strategies that reduce the burden of cardiovascular disease (CVD) in Australia. METHODS: A system dynamics model was developed with a multidisciplinary modelling consortium. The model population comprised Australians aged 40 years and over, and the scope encompassed acute and chronic CVD as well as primary and secondary prevention. Health outcomes were CVD-related deaths and hospitalisations, and economic outcomes were the net benefit from both the healthcare system and societal perspectives. The eight strategies broadly included creating social and physical environments supportive of a healthy lifestyle, increasing the use of preventive treatments, and improving systems response to acute CVD events. The effects of strategies were estimated as relative differences to the business-as-usual between 2019-2039. Probabilistic sensitivity analysis produced uncertainty intervals of interquartile ranges (IQR). FINDINGS: The greatest reduction in CVD-related deaths was seen in strategies that improve systems response to acute CVD events (8.9%, IQR: 7.7-10.2%), yet they resulted in an increase in CVD-related hospitalisations due to future recurrent admissions (1.6%, IQR: 0.1-2.3%). This flow-on effect highlighted the importance of addressing underlying CVD risks. On the other hand, strategies targeting the broad environment that supports a healthy lifestyle were effective in reducing both hospitalisations (7.1%; IQR: 5.0-9.5%) and deaths (8.1% reduction; IQR: 7.1-8.9%). They also produced an economic net benefit of AU$43.3 billion (IQR: 37.7-48.7) using a societal perspective, largely driven by productivity gains. Overall, strategic planning to reduce the burden of CVD should consider the varying effects of strategies over time and beyond the health sector.

Health-care provision and policy for non-alcoholic fatty liver disease in sub-Saharan Africa.

Sub-Saharan Africa, which has a population of more than 1 billion people, carries 24% of the global burden of disease and spends the least on health care of any region, relying heavily on international development assistance to deliver health care for HIV, tuberculosis, and malaria. The demographic and epidemiological transitions occurring in sub-Saharan Africa, with rising prevalences of obesity and diabetes, enhance the risk of non-alcoholic fatty liver disease (NAFLD), yet this remains an unrecognised complication of metabolic syndrome. There are no guidance documents on NAFLD from sub-Saharan Africa, and non-communicable disease (NCD) guidance documents do not include the associated burden of fatty liver disease. Combating the health and socioeconomic burden of NAFLD requires an integrated liver health approach, with task-shifting to primary health care. Using clear guidance documents to link education and management of HIV, viral hepatitis, NAFLD, and associated NCDs is also crucial to an integrated approach to infectious diseases and NCDs, which requires targeted funding from both governments and international development agencies.

Burden of disease among the world's poorest billion people: An expert-informed secondary analysis of Global Burden of Disease estimates.

BACKGROUND: The health of populations living in extreme poverty has been a long-standing focus of global development efforts, and continues to be a priority during the Sustainable Development Goal era. However, there has not been a systematic attempt to quantify the magnitude and causes of the burden in this specific population for almost two decades. We estimated disease rates by cause for the world's poorest billion and compared these rates to those in high-income populations. METHODS: We defined the population in extreme poverty using a multidimensional poverty index. We used national-level disease burden estimates from the 2017 Global Burden of Disease Study and adjusted these to account for within-country variation in rates. To adjust for within-country variation, we looked to the relationship between rates of extreme poverty and disease rates across countries. In our main modeling approach, we used these relationships when there was consistency with expert opinion from a survey we conducted of disease experts regarding the associations between household poverty and the incidence and fatality of conditions. Otherwise, no within-country variation was assumed. We compared results across multiple approaches for estimating the burden in the poorest billion, including aggregating national-level burden from the countries with the highest poverty rates. We examined the composition of the estimated disease burden among the poorest billion and made comparisons with estimates for high-income countries. RESULTS: The composition of disease burden among the poorest billion, as measured by disability-adjusted life years (DALYs), was 65% communicable, maternal, neonatal, and nutritional (CMNN) diseases, 29% non-communicable diseases (NCDs), and 6% injuries. Age-standardized DALY rates from NCDs were 44% higher in the poorest billion (23,583 DALYs per 100,000) compared to high-income regions (16,344 DALYs per 100,000). Age-standardized DALY rates were 2,147% higher for CMNN conditions (32,334 DALYs per 100,000) and 86% higher for injuries (4,182 DALYs per 100,000) in the poorest billion, compared to high-income regions. CONCLUSION: The disease burden among the poorest people globally compared to that in high income countries is highly influenced by demographics as well as large disparities in burden from many conditions. The comparisons show that the largest disparities remain in communicable, maternal, neonatal, and nutritional diseases, though NCDs and injuries are an important part of the "unfinished agenda" of poor health among those living in extreme poverty.

Epidemiology of paediatric injuries in Nepal: evidence from emergency department injury surveillance.

BACKGROUND: Globally, injuries cause >5 million deaths annually and children and young people are particularly vulnerable. Injuries are the leading cause of death in people aged 5-24 years and a leading cause of disability. In most low-income and middle-income countries where the majority of global child injury burden occurs, systems for routinely collecting injury data are limited. METHODS: A new model of injury surveillance for use in emergency departments in Nepal was designed and piloted. Data from patients presenting with injuries were collected prospectively over 12 months and used to describe the epidemiology of paediatric injury presentations. RESULTS: The total number of children <18 years of age presenting with injury was 2696, representing 27% of all patients presenting with injuries enrolled. Most injuries in children presenting to the emergency departments in this study were unintentional and over half of children were <10 years of age. Falls, animal bites/stings and road traffic injuries accounted for nearly 75% of all injuries with poisonings, burns and drownings presenting proportionately less often. Over half of injuries were cuts, bites and open wounds. In-hospital child mortality from injury was 1%. CONCLUSION: Injuries affecting children in Nepal represent a significant burden. The data on injuries observed from falls, road traffic injuries and injuries related to animals suggest potential areas for injury prevention. This is the biggest prospective injury surveillance study in Nepal in recent years and supports the case for using injury surveillance to monitor child morbidity and mortality through improved data.

Five insights from the Global Burden of Disease Study 2019.

The Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2019 provides a rules-based synthesis of the available evidence on levels and trends in health outcomes, a diverse set of risk factors, and health system responses. GBD 2019 covered 204 countries and territories, as well as first administrative level disaggregations for 22 countries, from 1990 to 2019. Because GBD is highly standardised and comprehensive, spanning both fatal and non-fatal outcomes, and uses a mutually exclusive and collectively exhaustive list of hierarchical disease and injury causes, the study provides a powerful basis for detailed and broad insights on global health trends and emerging challenges. GBD 2019 incorporates data from 281 586 sources and provides more than 3·5 billion estimates of health outcome and health system measures of interest for global, national, and subnational policy dialogue. All GBD estimates are publicly available and adhere to the Guidelines on Accurate and Transparent Health Estimate Reporting. From this vast amount of information, five key insights that are important for health, social, and economic development strategies have been distilled. These insights are subject to the many limitations outlined in each of the component GBD capstone papers.

Psychotherapy for depression in college students: A protocol for systematic review and network meta-analysis.

BACKGROUND: Depression is a disease with a high incidence and easy to relapse. It not only affects the work and life of patients, but also brings a heavy economic burden. University is the peak of depression, and the prevalence of depression among college students is much higher than that of ordinary people. The purpose of this research is to evaluate depression symptoms, life satisfaction, self-confidence, substance use, social adjustment, and dropout rates of the use of psychological intervention for college students. METHODS: We will identify relevant trials from systematic searches in the following electronic databases: PubMed, Embase, Web of Science and The Cochrane Library. We will also search Clinical Trials.gov, the WHO International Clinical Trials Registry Platform for unpublished data. Additional relevant studies will be searched through search engines (such as Google), and references included in the literature will be tracked. All relevant randomized controlled trials (RCTs) will be included. There are no date restrictions. Use Cochrane Collaboration's Risk of bias tool to conduct risk of bias analysis. Use the Grades of Recommendation, Assessment, Development, and Evaluation to assess the quality of evidence. All statistical analysis will be performed using Stata (V.15.0.) and Review Manager (V.5.2.0). RESULTS: A total of 6238 records were obtained by searching the database and 27 records were obtained by other sources. After removing duplicate records, there are 4225 records remaining. We excluded 3945 records through abstract and title, leaving 280 full-text articles. CONCLUSION: This will be the first study to compare the effects of different psychological treatments on depression in college students. We hope that this study will guide clinical decision-making of psychotherapy to better treat depression in college students. PROTOCOL REGISTRATION: INPLASY202070134.

A comprehensive review of vaccination in patients with inflammatory bowel diseases: An Indian perspective.

The disease burden of inflammatory bowel diseases (IBD) in India is estimated to be one of the highest in the world in the near future. Patients with IBD, particularly those on immunosuppressive therapy, are at increased risk for developing vaccine-preventable illnesses. Adult vaccination policy and vaccination in patients with IBD are presently being at a very low level in India. This review discusses in detail the need for vaccination, levels of immunosuppression, a brief account of live and inactivated vaccines, available vaccines, and their utility in patients with IBD, with a special focus on recent recommendations.

Measuring universal health coverage based on an index of effective coverage of health services in 204 countries and territories, 1990-2019: a systematic analysis for the Global Burden of Disease Study 2019.

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, 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. INTERPRETATION: 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. FUNDING: Bill & Melinda Gates Foundation.

Do the most heavily burdened countries have the right policies to eliminate viral hepatitis B and C?

In 2019, a Lancet Gastroenterology & Hepatology Commission on accelerating the elimination of viral hepatitis reported on the status of 11 viral hepatitis policy indicators in 66 countries and territories with the heaviest burden by global region. Policies were reported as being either in place, in development, or not in place. This study uses the Commission findings to estimate hepatitis B virus (HBV) and hepatitis C virus (HCV) policy scores and rankings for these 66 countries and territories. We applied a multiple correspondence analysis technique to reduce data on policy indicators into a weighted summary for the HBV and HCV policies. We calculated HBV and HCV policy scores for each country. Countries and territories that received higher scores had more policies in place and in development than did countries with lower scores. The highest scoring country for HBV was Australia, whereas Somalia had the lowest score. For the HCV policy score, Australia and New Zealand had perfect scores, whereas Somalia, Sudan, and Yemen had the lowest scores, all having no policy indicators in place.

The early impact of the Covid-19 pandemic on the global and Turkish economy

Background/aim: Individuals infected by the Covid-19 potentially are at risk of health and economic well-being. Today, the Covid-19 is a global issue, and the world economy can be interpreted as almost at the standstill. In this context, this study aims to discuss the potential first reactions of short and long term global economic impacts of the pandemic through sectors by assessing its costs according to the data announced for both the world and Turkey. In addition, this study tries to put forth possible economic and political scenarios for the post-pandemic world. Materials and methods: This is a review article that summarizes the current reports and discussions about the economic consequences of this historical event, and tries to make some inferences considering them. Results: This pandemic has severe adverse effects on the employees, customers, supply chains and financial markets, in brief, most probably it will cause a global economic recession. Nevertheless, due to the uncertainty of the end of this pandemic, both the length and scale of this contraction are not predictable. Conclusion: It takes a while for the world economy to recover from the contraction. It seems that this pandemic will lead to a permanent shift in the world and its politics, especially in health, security, trade, employment, agriculture, manufacturing goods production and science policies. Since this new world might provide great opportunities for some countries that did not dominate world production before, governments should develop new strategies to adjust the new world order without much delay.

Trends in the Burden of Chronic Liver Disease Among Hospitalized US Adults.

Importance: One factor associated with the rapidly increasing clinical and economic burden of chronic liver disease (CLD) is inpatient health care utilization. Objective: To understand trends in the hospitalization burden of CLD in the US. Design, Setting, and Participants: This cross-sectional study of hospitalized adults in the US used data from the National Inpatient Sample from 2012 to 2016 on adult CLD-related hospitalizations. Data were analyzed from June to October 2019. Main Outcomes and Measures: Hospitalizations identified using a comprehensive review of CLD-specific International Classification of Diseases, Ninth Revision, Clinical Modification and International Statistical Classification of Diseases, Tenth Revision, Clinical Modification codes. Survey-weighted annual trends in national estimates of CLD-related hospitalizations, in-hospital mortality, and hospitalization costs, stratified by demographic and clinical characteristics. Results: This study included 1 016 743 CLD-related hospitalizations (mean [SD] patient age, 57.4 [14.4] years; 582 197 [57.3%] male; 633 082 [62.3%] white). From 2012 to 2016, the rate of CLD-related hospitalizations per 100 000 hospitalizations increased from 3056 (95% CI, 3042-3069) to 3757 (95% CI, 3742-3772), and total inpatient hospitalization costs increased from $14.9 billion (95% CI, $13.9 billion to $15.9 billion) to $18.8 billion (95% CI, $17.6 billion to $20.0 billion). Mean (SD) patient age increased (56.8 [14.2] years in 2012 to 57.8 [14.6] years in 2016) and, subsequently, the proportion with Medicare also increased (41.7% [95% CI, 41.1%-42.2%] to 43.6% [95% CI, 43.1%-44.1%]) (P for trend < .001 for both). The proportion of hospitalizations of patients with hepatitis C virus was similar throughout the period of study (31.6% [95% CI, 31.3%-31.9%]), and the proportion with alcoholic cirrhosis and nonalcoholic fatty liver disease showed increases. The mortality rate was higher among hospitalizations with alcoholic cirrhosis (11.9% [95% CI, 11.7%-12.0%]) compared with other etiologies. Presence of hepatocellular carcinoma was also associated with a high mortality rate (9.8% [95% CI, 9.5%-10.1%]). Cost burden increased across all etiologies, with a higher total cost burden among hospitalizations with alcoholic cirrhosis ($22.7 billion [95% CI, $22.1 billion to $23.2 billion]) or hepatitis C virus ($22.6 billion [95% CI, $22.1 billion to $23.2 billion]). Presence of cirrhosis, complications of cirrhosis, and comorbidities added to the CLD burden. Conclusions and Relevance: Over the study period, the total estimated national hospitalization costs in patients with CLD reached $81.1 billion. The inpatient CLD burden in the US is likely increasing because of an aging CLD population with increases in concomitant comorbid conditions.

The Burden of Pediatric Musculoskeletal Diseases Worldwide.

Global burden of disease (GBD) refers to the economic and human costs resulting from poor health. The disability-adjusted life year is a measure of life lost from premature death and life not lived at 100% health. Surgery has long been neglected in the distribution of resources for global health. Because of years of life lived with a disability and the large proportion of children in a population, pediatric musculoskeletal conditions early in life can contribute to the GBD. Fortunately, the World Health Organization has recently promoted essential surgical services through its Emergency and Essential Surgical Care Project and Global Initiative.

How Is the World Responding to the Novel Coronavirus Disease (COVID-19) Compared with the 2014 West African Ebola Epidemic? The Importance of China as a Player in the Global Economy.

This article describes similarities and differences in the response of governments and the international community to the current 2019 coronavirus disease (COVID-19) and the 2014 West African Ebola epidemic. It expresses the opinion that the speed and scale of the response to COVID-19 are affected by the important role that China plays in the global economy. By contrast, insufficient and less timely action was initially undertaken in West African countries during the 2014 Ebola epidemic. It concludes by stating why preparedness for and response to all disease outbreaks, also in countries of lower economic importance, should become a priority in the global health agenda.

Limited alignment of publicly competitive disease funding with disease burden in Japan.

OBJECTIVE: The need to align investments in health research and development (R&D) with public health needs is one of the most important public health challenges in Japan. We examined the alignment of disease-specific publicly competitive R&D funding to the disease burden in the country. METHODS: We analyzed publicly available data on competitive public funding for health in 2015 and 2016 and compared it to disability-adjusted life year (DALYs) in 2016, which were obtained from the Global Burden of Disease (GBD) 2017 study. Their alignment was assessed as a percentage distribution among 22 GBD disease groups. Funding was allocated to the 22 disease groups based on natural language processing, using textual information such as project title and abstract for each research project, while considering for the frequency of information. RESULTS: Total publicly competitive funding in health R&D in 2015 and 2016 reached 344.1 billion JPY (about 3.0 billion USD) for 32,204 awarded projects. About 49.5% of the funding was classifiable for disease-specific projects. Five GDB disease groups were significantly and relatively well-funded compared to their contributions to Japan's DALY, including neglected tropical diseases and malaria (funding vs DALY = 1.7% vs 0.0%, p<0.01) and neoplasms (28.5% vs 19.2%, p<0.001). In contrast, four GDB disease groups were significantly under-funded, including cardiovascular diseases (8.0% vs 14.8%, p<0.001) and musculoskeletal disorders (1.0% vs 11.9%, p<0.001). These percentages do not include unclassifiable funding. CONCLUSIONS: While caution is necessary as this study was not able to consider public in-house funding and the methodological uncertainties could not be ruled out, the analysis may provide a snapshot of the limited alignment between publicly competitive disease-specific funding and the disease burden in the country. The results call for greater management over the allocation of scarce resources on health R&D. DALYs will serve as a crucial, but not the only, consideration in aligning Japan's research priorities with the public health needs. In addition, the algorithms for natural language processing used in this study require continued efforts to improve accuracy.