Domestic and donor financing for tuberculosis care and control in low-income and middle-income countries: an analysis of trends, 2002–11, and requirements.

Slides:



Advertisements
Similar presentations
The Global Plan to Stop TB, (1)
Advertisements

Public-Private Mix (PPM) for TB Control in Global Fund grants Scope and significance SS Lal *, Mukund Uplekar #, Itamar Katz*, Knut Lonnroth #, Ryuichi.
World Bank Project China Fidelis Demonstration projects Mobilising funding for TB & Poverty Are there effective, implementable strategies?
Health Organization The Challenges Facing Tuberculosis Control Blantyre Hospital, Malawi: TB Division, 3 patients per bed.
Abt Associates Inc. In collaboration with: I Aga Khan Foundation I Bitrán y Asociados I BRAC University I Broad Branch Associates I Deloitte Consulting,
Dr Ral Antic Chair Scientific Committee IUATLD-APR Australia Pre-Conference Workshop 1 National TB Control Program Summary & Remarks.
Global Tuberculosis Control 2007 Did we reach the 2005 targets? Will we achieve the Millennium Development Goals?
Tuberculosis demand forecast Brussels, 10 April 2013 Dr Mario Raviglione Director, Stop TB Department World Health Organization, Geneva, Switzerland.
Date of download: 6/8/2016 Copyright © 2016 American Medical Association. All rights reserved. From: The Growing Burden of Tuberculosis: Global Trends.
Current Aspects of TB in Egypt and other EMR countries Dr. Essam Elmoghazy Chairman of Cairo Association against Smoking, Tuberculosis and Lung diseases-
Challenges and Constraints for TB Control in Kenya Dr. James Nyikal Director of Medical Services, Kenya.
Andrew Siroka, BS, Ninez A Ponce, PhD, Knut Lönnroth, MD 
Towards universal access to HIV prevention, treatment, care, and support: the role of tuberculosis/HIV collaboration  Alasdair Reid, MD, Fabio Scano,
Association between economic growth and early childhood undernutrition: evidence from 121 Demographic and Health Surveys from 36 low-income and middle-income.
Catastrophic costs potentially averted by tuberculosis control in India and South Africa: a modelling study  Dr Stéphane Verguet, PhD, Carlos Riumallo-Herl,
TB- HIV Collaborative activities in Romania- may 2006 status
Volume 378, Issue 9793, Pages (August 2011)
financial requirements
Levels and trends in contraceptive prevalence, unmet need, and demand for family planning for 29 states and union territories in India: a modelling study.
Zaw Win, Tin Aung, Sun Tun Population Services International/ Myanmar
Feasibility of achieving the 2025 WHO global tuberculosis targets in South Africa, China, and India: a combined analysis of 11 mathematical models  Dr.
By: Dr Mirzaei.
Common Messaging Platform
Spatiotemporal spread of the 2014 outbreak of Ebola virus disease in Liberia and the effectiveness of non-pharmaceutical interventions: a computational.
Key issues in DOTS implementation
Estimating trends in life expectancy in HIV-positive individuals
Socioeconomic status and non-communicable disease behavioural risk factors in low- income and lower-middle-income countries: a systematic review  Luke.
July 21, 2016 Potential Domestic Source Financing for Scaled Up Antiretroviral Therapy in 97 Countries, 2016–2020 Arin Dutta, Catherine Barker, and Ashley.
Burden of childhood tuberculosis in 22 high-burden countries: a mathematical modelling study  Dr Peter J Dodd, PhD, Elizabeth Gardiner, MSc, Renia Coghlan,
Volume 2, Issue 4, Pages e159-e168 (April 2015)
Worldwide trends in insufficient physical activity from 2001 to 2016: a pooled analysis of 358 population-based surveys with 1·9 million participants 
Ana Victoria Roman, Wilton Perez, Richard Smith  The Lancet 
Rebalancing the global battle against tuberculosis
Volume 4, Issue 5, Pages e223-e230 (May 2017)
Access to emergency hospital care provided by the public sector in sub-Saharan Africa in 2015: a geocoded inventory and spatial analysis  Paul O Ouma,
Prevalence of tuberculosis, hepatitis C virus, and HIV in homeless people: a systematic review and meta-analysis  Ulla Beijer, PhD, Achim Wolf, MSc, Dr.
Equity in antenatal care quality: an analysis of 91 national household surveys  Catherine Arsenault, PhD, Keely Jordan, MSc, Dennis Lee, BA, Girmaye Dinsa,
Key Affected Populations
Malebona Precious Matsoso, Jeanette Rebecca Hunter, Vishal Brijlal 
Vietnam Investment and Finance for TB
HIV Expenditure.
Effect of development assistance on domestic health expenditures
Comparing estimates of spending on health and HIV/AIDS
Health system assessments
Volume 386, Issue 9990, Pages (July 2015)
Volume 380, Issue 9849, Pages (October 2012)
Feasibility of achieving the 2025 WHO global tuberculosis targets in South Africa, China, and India: a combined analysis of 11 mathematical models  Dr.
Spatiotemporal spread of the 2014 outbreak of Ebola virus disease in Liberia and the effectiveness of non-pharmaceutical interventions: a computational.
Measuring health and economic wellbeing in the Sustainable Development Goals era: development of a poverty-free life expectancy metric and estimates for.
Malaria morbidity and mortality in Ebola-affected countries caused by decreased health- care capacity, and the potential effect of mitigation strategies:
Effect and cost-effectiveness of pneumococcal conjugate vaccination: a global modelling analysis  Cynthia Chen, PhD, Francisco Cervero Liceras, MSc, Stefan.
Expected effects of adopting a 9 month regimen for multidrug-resistant tuberculosis: a population modelling analysis  Dr Emily A Kendall, MD, Anthony.
Levels and trends in contraceptive prevalence, unmet need, and demand for family planning for 29 states and union territories in India: a modelling study.
Association between economic growth and early childhood undernutrition: evidence from 121 Demographic and Health Surveys from 36 low-income and middle-income.
Early detection and treatment strategies for breast cancer in low-income and upper middle-income countries: a modelling study  Jeanette K Birnbaum, PhD,
Tuberculosis control interventions targeted to previously treated people in a high- incidence setting: a modelling study  Florian M Marx, MD, Reza Yaesoubi,
Burden of childhood tuberculosis in 22 high-burden countries: a mathematical modelling study  Dr Peter J Dodd, PhD, Elizabeth Gardiner, MSc, Renia Coghlan,
Thank you to our diverse (but not diverse enough) reviewers
South Africa: From ProTest to Nationwide Implementation
Volume 388, Issue 10049, Pages (September 2016)
The STOP TB Strategy – 2009 VISION: A TB-free world
Effectiveness of a triple-drug regimen for global elimination of lymphatic filariasis: a modelling study  Michael A Irvine, PhD, Wilma A Stolk, PhD, Morgan.
National, regional, and global levels and trends in neonatal mortality between 1990 and 2017, with scenario-based projections to 2030: a systematic analysis 
Fabio Scano IUATLD Conference Paris, 2003
Age-targeted tuberculosis vaccination in China and implications for vaccine development: a modelling study  Rebecca C Harris, PhD, Tom Sumner, PhD, Gwenan.
Volume 6, Issue 6, Pages e382-e395 (June 2019)
Levels and trends in contraceptive prevalence, unmet need, and demand for family planning for 29 states and union territories in India: a modelling study.
Global DOTS Expansion: will we reach the Targets?
Association between economic growth and early childhood nutrition
Global burden of latent multidrug-resistant tuberculosis: trends and estimates based on mathematical modelling  Gwenan M Knight, PhD, C Finn McQuaid,
Presentation transcript:

Domestic and donor financing for tuberculosis care and control in low-income and middle-income countries: an analysis of trends, 2002–11, and requirements to meet 2015 targets  Dr Katherine Floyd, PhD, Christopher Fitzpatrick, MSc, Andrea Pantoja, MSc, Mario Raviglione, MD  The Lancet Global Health  Volume 1, Issue 2, Pages e105-e115 (August 2013) DOI: 10.1016/S2214-109X(13)70032-9 Copyright © 2013 World Health Organization; licensee Elsevier Terms and Conditions

Figure 1 Total funding for tuberculosis care and control from government and international donor sources and GDP per person weighted by population and caseload worldwide (A), and in BRICS (B); the 17 other HBCs (C); upper-middle-income (D), lower-middle-income (E), and low-income (F) countries; Africa (G); Asia (H); and other regions (I) Data are for 104 low-income and middle-income countries, 2002–11. Total funding includes funds received directly by NTPs and funds used for outpatient visits and inpatient care within general health-care systems that are not channelled through the NTP. For GDP per person weighted by caseload, an individual country's contribution is weighted according to share of tuberculosis cases in the same country group. GDP=gross domestic product. BRICS=Brazil, Russia, India, China, South Africa. HBCs=high-burden countries. NTP=national tuberculosis programme. *Excludes South Africa. † Excludes India and China. ‡Excludes Brazil and Russia. The Lancet Global Health 2013 1, e105-e115DOI: (10.1016/S2214-109X(13)70032-9) Copyright © 2013 World Health Organization; licensee Elsevier Terms and Conditions

Figure 2 Total funding from government and international donor sources for treatment of drug-susceptible tuberculosis and numbers of patients with tuberculosis treated with first-line drugs worldwide (A), and in BRICS (B); the 17 other HBCs (C); upper-middle-income (D), lower-middle-income (E), and low-income (F) countries; Africa (G); Asia (H); and other regions (I) Data are for 104 low-income and middle-income countries, 2002–2011. Total funding includes that for drug and non-drug costs channelled through national tuberculosis programmes and for hospital care and outpatient visits in general health-care systems but excludes costs of second-line drugs for treatment of patients with multidrug-resistant tuberculosis. Treatment success for 2011 has not yet been reported; we assume it is equal to that in 2010. BRICS=Brazil, Russia, India, China, South Africa. HBCs=high-burden countries. *Excludes South Africa. † Excludes India and China. ‡Excludes Brazil and Russia. The Lancet Global Health 2013 1, e105-e115DOI: (10.1016/S2214-109X(13)70032-9) Copyright © 2013 World Health Organization; licensee Elsevier Terms and Conditions

Figure 3 Cost per successfully treated patient with tuberculosis relative to GDP per person, by country Data are for 104 low-income and middle-income countries. Countries with more than 100 000 cases per year are labelled. The area of the circle is proportional to the caseload. The shaded area represents the 99% CI. Costs per successfully treated patient are based on the 2008–10 case-weighted mean. Both axes are on a log scale. GDP=gross domestic product. The Lancet Global Health 2013 1, e105-e115DOI: (10.1016/S2214-109X(13)70032-9) Copyright © 2013 World Health Organization; licensee Elsevier Terms and Conditions

Figure 4 Funding for tuberculosis care and control from domestic sources, international donors, and the Global Fund specifically worldwide (A), and in BRICS (B); the 17 other HBCs (C); upper-middle-income (D), lower-middle-income (E), and low-income (F) countries; Africa (G); Asia (H); and other regions (I) Uncertainty bands for domestic funding show uncertainty in years for which one or more countries did not report funding data or a breakdown of funding by source, and uncertainty about the extent to which inpatient and outpatient care for tuberculosis patients in general health-care systems are domestically funded in low-income countries. In probabilistic uncertainty analysis, the proportion of funding for inpatient and outpatient care funded from domestic sources in low-income countries was assumed to follow a uniform distribution, ranging from the proportion of funding for national tuberculosis programmes from domestic sources to 100%. BRICS=Brazil, Russia, India, China, South Africa. HBCs=high-burden countries. *Excludes South Africa. † Excludes India and China. ‡Excludes Brazil and Russia. The Lancet Global Health 2013 1, e105-e115DOI: (10.1016/S2214-109X(13)70032-9) Copyright © 2013 World Health Organization; licensee Elsevier Terms and Conditions

Figure 5 Funding gaps reported by NTPs by major category of expenditure worldwide (A), and in BRICS (B); the 17 other HBCs (C); upper-middle-income (D), lower-middle-income (E), and low-income (F) countries; Africa (G); Asia (H); and other regions (I) Data are for 104 low-income and middle-income countries, 2002–11. Basic DOTS (excluding first-line drugs) includes NTP staff, programme management and supervision, laboratory supplies, hospital stays, and clinic visits. Enhanced DOTS includes collaborative tuberculosis and HIV activities; advocacy, communications, and social mobilisation; community-based care; private–public mix approaches; the Practical Approach to Lung Health; operational research; surveys; and other miscellaneous items. DOTS is the basic package that underpins the Stop TB Strategy. NTP=national tuberculosis programme. BRICS=Brazil, Russia, India, China, South Africa. HBCs=high-burden countries. MDR=multidrug-resistant. *Excludes South Africa. † Excludes India and China. ‡Excludes Brazil and Russia. The Lancet Global Health 2013 1, e105-e115DOI: (10.1016/S2214-109X(13)70032-9) Copyright © 2013 World Health Organization; licensee Elsevier Terms and Conditions

Figure 6 Forecast of funding that could be mobilised from domestic sources compared with funding needed for a full response to the global tuberculosis epidemic in BRICS (A); the 17 other HBCs (B); low-income countries excluding HBCs (C); low-income (D), lower-middle-income (E), and upper-middle-income (F) countries; Africa (G); Asia (H); and the rest of the world (I) The blue band represents scenario 1, which shows domestic funding that could be mobilised if domestic funding increases from a 2011 baseline at the same rate of growth as International Monetary Fund forecasts of growth in total government expenditures. The green band shows additional resources that could be mobilised, compared with scenario 1, if current underperformers (relative to income level and disease burden of tuberculosis) improve at a consistent rate to reach the level of the median performer by 2020. Amounts of total funding available from domestic sources in 2011 differ from those displayed in previous figures because all low-income and middle-income countries were included, not only the 104 for which trends in tuberculosis funding could be estimated since 2002. Of total funding required (red line), about 60% is for the core elements of tuberculosis care and control (DOTS, the basic package that underpins the Stop TB Strategy), 25% is for treatment of multidrug-resistant tuberculosis, 10% is for rapid tests and associated laboratory strengthening, and 5% is for collaborative tuberculosis–HIV activities. Funding needs allow for inflation. BRICS=Brazil, Russia, India, China, South Africa. HBCs=high-burden countries. *Excludes India and China. † Excludes Brazil, Russia, and South Africa. ‡Excludes South Africa. §Excludes Brazil and Russia. The Lancet Global Health 2013 1, e105-e115DOI: (10.1016/S2214-109X(13)70032-9) Copyright © 2013 World Health Organization; licensee Elsevier Terms and Conditions