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The contribution of research to improving access to health care for TB patients

The contribution of research to improving access to health care for TB patients. The contribution of research - Overview. Improved understanding of the concept of poverty Improved understanding of the relationship between poverty and TB

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The contribution of research to improving access to health care for TB patients

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  1. The contribution of research to improving access to health care for TB patients

  2. The contribution of research - Overview • Improved understanding of the concept of poverty • Improved understanding of the relationship between poverty and TB • Documenting the barriers (hurdles) faced by poor patients accessing TB Services • Identifying, piloting, and assessing the impact of ways of overcoming access hurdles • Ensuring that the poor are not forgotten in New Tools Research

  3. The concepts of poverty and vulnerability Poverty • is more than economic poverty (living on ≤US$ 1 per day) • encompasses lack of opportunities, voice and representation, and vulnerability to shocks • is a major determinant of vulnerability to disease – especially TB

  4. Poverty indicators/area– Lilongwe (Malawi)

  5. Poverty indicators/area – Lilongwe (Malawi) Mitsiriza Ngwenya

  6. Poverty indicators/area – Lilongwe (Malawi) Mitsiriza Ngwenya

  7. The relationship between poverty and TB The poor have • higher risk of infection • higher prevalence of disease • worse outcome of disease

  8. Conceptual framework for improved and early case notification/detection Symptoms recognised Patient delay Health care utilisation Patient delay Health system delay Active TB Diagnosis Infected Notification

  9. Economic Hurdles faced by an average rural resident accessing TB treatment in Malawi: 2004-5 NB: no user fees in public health facilities Source: Gillian Mann PhD Thesis University of Liverpool 2008

  10. Potential effect of adding user-fees in public health system

  11. DOTS since 2002 DOTS since 1992

  12. A trial of transferring up-front, out-of-pocket expenditure from patients to TB dispensaries (funded through New Cooperative Medical Scheme in Hunan Province, China)

  13. http://www.who.int/tb/dots/laboratory/policy/en/index.html Categorising Patients

  14. DAY 1 Patient screening Fails inclusion criteria Excluded Does not accept Informed consent Clinical examination Spot sputum randomization Spot sputum (1 hour) Time Results DAY 2 Morning smear Morning smear Spot sputum Time Results Culture Cuevas L et al submitted 6682 patients Nigeria Yemen Ethiopia Nepal Standard Frontloaded

  15. Figure 3. Sensitivity of the frontloaded and standard schemes when examining 1, 2 or 3 smears. Error bars are 95% confidence interval.

  16. Economic Hurdles faced by an average rural resident accessing TB treatment in Malawi: 2004-5 NB: no user fees in public health facilities Source: Gillian Mann PhD Thesis University of Liverpool 2008

  17. Potential effect of front-loading of sputum collection for smear microscopy (2 specimens only)

  18. Potential effect of frontloading (2 specimens) with same-day issue of results

  19. Potential effect of front-loading (2 specimens), same day results and working with informal providers for referral

  20. A Framework for Impact Assessment for New Diagnostics

  21. The contribution of research - Conclusions • Improved understanding of the concept of poverty • Improved understanding of the relationship between poverty and TB • Documenting the barriers (hurdles) faced by poor patients accessing TB Services • Identifying, piloting, and assessing the impact of ways of overcoming access hurdles • Ensuring that the poor are not forgotten in New Tools Research

  22. The contribution of research – what next? • More commitment from funders for poverty focussed action research (Many thanks to LHL, TDR, DFID, USAID) • More engagement of patients and communities in the research process • Going to scale with innovations

  23. B. Nhlema-Simwaka et al, IJTLD 2007;11(1):65-71

  24. An example of a quantitative proxy measure B. Nhlema-Simwaka et al, IJTLD 2007;11(1):65-71

  25. An example of a qualitative matrix B. Nhlema-Simwaka et al, IJTLD 2007;11(1):65-71

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