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Poverty & TB: Global Overview and Kenyan case study. Christy Hanson, PhD, MPH PATH May 30, 2005 CCIH Annual Conference. Global TB Control: TB facts. TB is infectious, curable disease 8.8 million new cases of TB in 2003 TB is the primary cause of death for PLWHA in Africa
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Poverty & TB: Global Overview and Kenyan case study Christy Hanson, PhD, MPH PATH May 30, 2005 CCIH Annual Conference
Global TB Control: TB facts • TB is infectious, curable disease • 8.8 million new cases of TB in 2003 • TB is the primary cause of death for PLWHA in Africa • Highly cost-effective treatment strategy • Only half of new cases were detected in 2003
per 100 000 population < 10 10 to 24 25 to 49 50 to 99 100 to 299 300 or more No Estimate Estimated TB incidence rates 2003
TB and HIV: Overlapping epidemics TB infected (1.7 billion) HIV at risk (?) HIV (+) (40 m) Active TB (8.8 m per year) HIV (+) with Active TB (0.7 m)
HIV prevalence in TB cases, 15-49 yrs (%) < 5 5 - 19 20 - 49 50 or more No estimate Estimated HIV Prevalence in TB cases, 2002 Global Tuberculosis Control. WHO Report 2003. WHO/HTM/TB/2004.331
Africa: HIV driving the TB epidemicTB notification rates, 1980-2003 Source: WHO reports
700 0.16 0.14 600 0.12 500 0.10 400 0.08 300 0.06 200 0.04 100 0.02 0 0.00 1980 1990 2010 2000 TB and HIV in Kenya HIV prevalence TB incidence
Global Targets for TB control • 70% case detection • 85% treatment success
TB can be cured: DOTS strategy • Political commitment • Standardized treatment regimen • Available free of charge to patients in public sector • Diagnosis by smear microscopy • Directly-observed treatment (DOT) • Standardized recording and reporting • Quality control
DOTS Works • China • DOTS areas: 44% decrease in TB prevalence (1990-2000) • Non-DOTS areas: 12% decrease in TB prevalence • Global level • DOTS areas: treatment success rates average 80% • Non-DOTS areas: around 50%
Evolution of DOTS Broaden ownership: private sector, partners Emerging threats: TB/HIV, MDR-TB Building political commitment New tools: diagnostics, drugs Increase case detection Resource mobilization Widescale training Health sector reform Adoption of DOTS “DOTS” brand Model developed in Africa; Karel Styblo 1995 2005 Adopting DOTS Expanding DOTS Adapting DOTS
Number of countries implementing DOTS, 1990 - 2003 Total number of countries 200 150 Number of countries 100 50 0 1990 1993 1995 1996 1997 1998 1999 2000 2001 2002 2003 Global Tuberculosis Control. WHO Report 2002. WHO/CDS/TB/2002.295
Challenges for the future of TB control • Dual epidemic of TB/HIV • Low case detection rates Possible cause: not reaching the poor?
Distribution of Poverty Source: World Bank, WDR 2000
Causes of Poor-Rich Health Status Gap Non-Communicable Diseases – 15% Injuries 8% Source: World Bank; Gwatkin, D.; 2000 Communicable Diseases 77% * “poor” and “rich” represent poorest countries / richest countries
Disproportionate disease burden among the poor* Source: World Bank; Gwatkin, D.; 2000 * “poor” and “rich” represent poorest countries / richest countries
22 Highest TB burden countries • None are high-income countries • 78% have GNP per capita of less than $760 (low income) • Estimate: over 50% new TB patients without access to DOTS are living on less than $2 per day
Korea case study TB And Economic Development Per capita GNI 350 TB cases Korean War 49 TB deaths 7 NTP Unemployment rates
TB prevalence among poor and non-poor, Philippines Source: Tupasi et. al.; IJTLD 4(12): 1126-1132
TB in the homeless Source: Moss, Hahn, Tulsky et al.; Am J Respir Crit Care Med 2000 Annual incidence per 100,000 * Notified cases
Risk factors Risk factors Risk factors Risk factors TB Epidemiology Infectious TB Sub-clinical infection Cure, chronic or Death Exposure Non-infectious TB Source: adapted from Urban & Vogel; Am Rev Respir Dis 1981
Income poverty and TB • The poor lack: • Food security • Income stability • Access to water, sanitation • Access to health care TB disease Income poverty • TB may lead to: • Loss of 20-30% of annual wages among poor
Poverty links to TB exposure, infection and disease • Overcrowding • Malnutrition • TB anemia, low retinol & zinc, wasting • Vit D deficiency 10x risk of TB disease • Gender differentials • Higher prevalence among men • Women:faster breakdown to TB disease (2x) • Marginalized populations • Ethnicity • Prisoners
TB case rates by SES indicator: United States 1987-1993 Source: Cantwell, McKenna, McCray, et al.; Am J Respir Crit Care Med, 1998
Poverty & TB disease outcome • Impoverishing effects of TB • Economic: 20-30% of household wages • Social: stigma • Women fear social impoverishment, men fear economic • Delayed treatment seeking • Worse outcomes? • Barriers to access • Inhibited continuity • In absence of treatment, 50% will die
Reasons for treatment delay: China Source: Ministry of Health, China; 1990 prevalence survey
Global Response to Health Inequities • Millennium Development Goals • Halve the prevalence of TB disease and deaths between 1990 and 2015 • Poverty-Reduction Strategy Papers • Re-orienting development agenda toward pro-poor approaches • Debt-relief, increased funds for social sectors • Global Fund for AIDS, TB and malaria • 4 rounds of applications funded • over $8 billion approved • $1 billion for TB (13%)
Financial subsidy from Government health services to poorest & richest 20% Source: World Bank, 2001
Expenditures on TB care by level of wealth Sample of patients in Nairobi US$ Source: Hanson and Kutwa (unpublished)
TB community response to TB and poverty • DOTS expansion and adaptation • Global TB Drug Facility • Stop TB Partnership • Collaboration with NGOs, partners • Social and resource mobilization • 2002 Theme: TB and poverty • Research • Benefit - incidence • Evaluating what works • Understanding what matters to the poor (demand)
Addressing barriers to care: Examples • Cambodia: food incentives for all TB patients • Uganda: community-based care • China: increased financing for TB control in poorest areas • Kenya: mobile treatment facilities for migrant populations • Mauritania: salary supplements for health workers in poor, rural areas
Kenyan Case Study Is the health system responding to poverty dimension of TB?
Trends in Tuberculosis: Kenya • 46% of population lives in absolute poverty • >50% of TB patients are HIV+ Source: WHO reports: 1997, 1998, 1999, 2000,2001, 2002, 2003, 2004, 2005
Study objectives • Current performance of health sector in reaching poor TB patients • Treatment seeking patterns of poor vs. non-poor • Identify provider and patient characteristics associated with utilization of DOTS providers
Survey Tools n=3500 • Provider: costs, services, patient base • Individual • Demographic information • Health information • Symptoms, choice set • TB knowledge • Treatment-seeking behavior • Movement between formal, informal, private, public • Utilization and expenditures • Valuation • Inventory what is important in decision-making • Preferences
Profile of TB patients treated in public and private sectors 3% of patients completing treatment are among the poorest
Change in wealth profile along continuum of diagnosis & treatment Most poor Least poor Diagnosis Treatment completion
Where patients go vs. Where the system provides DOTS
Movement through the health system: the case of the poor • 40% start at decentralized dispensaries • Start at hospital level, 12% transition “backwards” • Less efficient transitioning • More visits (half had 5-10 visits, still not referred for dx) • More time ill • Higher expenditures • Most interact with a “DOTS” facility within 1st three visits, still don’t get referred for diagnosis • Individual & provider factors behind transitioning
Conclusions & Next steps • TB patients actively seeking care • Poor disproportionately represented at all stages • Research: prevalence distribution by wealth • Social science research: why? • Private sector: competitive, well used • Cost & geographic access similar • District variance: lessons to be learned from successful districts • Modeling of system and district-level determinants impacting case detection • New initiatives: test strategies to reach the poor