Defining Catastrophic Costs and Comparing Their Importance for Adverse Tuberculosis Outcome with Multi-Drug Resistance: A Prospective Cohort Study, Peru
Background:
Even when tuberculosis (TB) treatment is free, hidden costs incurred by patients and their households (TB-affected households) may worsen poverty and health. Extreme TB-associated costs have been termed “catastrophic” but are poorly defined. We studied TB-affected households' hidden costs and their association with adverse TB outcome to create a clinically relevant definition of catastrophic costs.
Methods and Findings:
From 26 October 2002 to 30 November 2009, TB patients (n = 876, 11% with multi-drug-resistant [MDR] TB) and healthy controls (n = 487) were recruited to a prospective cohort study in shantytowns in Lima, Peru. Patients were interviewed prior to and every 2–4 wk throughout treatment, recording direct (household expenses) and indirect (lost income) TB-related costs. Costs were expressed as a proportion of the household's annual income. In poorer households, costs were lower but constituted a higher proportion of the household's annual income: 27% (95% CI = 20%–43%) in the least-poor houses versus 48% (95% CI = 36%–50%) in the poorest. Adverse TB outcome was defined as death, treatment abandonment or treatment failure during therapy, or recurrence within 2 y. 23% (166/725) of patients with a defined treatment outcome had an adverse outcome. Total costs ≥20% of household annual income was defined as catastrophic because this threshold was most strongly associated with adverse TB outcome. Catastrophic costs were incurred by 345 households (39%). Having MDR TB was associated with a higher likelihood of incurring catastrophic costs (54% [95% CI = 43%–61%] versus 38% [95% CI = 34%–41%], p<0.003). Adverse outcome was independently associated with MDR TB (odds ratio [OR] = 8.4 [95% CI = 4.7–15], p<0.001), previous TB (OR = 2.1 [95% CI = 1.3–3.5], p = 0.005), days too unwell to work pre-treatment (OR = 1.01 [95% CI = 1.00–1.01], p = 0.02), and catastrophic costs (OR = 1.7 [95% CI = 1.1–2.6], p = 0.01). The adjusted population attributable fraction of adverse outcomes explained by catastrophic costs was 18% (95% CI = 6.9%–28%), similar to that of MDR TB (20% [95% CI = 14%–25%]). Sensitivity analyses demonstrated that existing catastrophic costs thresholds (≥10% or ≥15% of household annual income) were not associated with adverse outcome in our setting. Study limitations included not measuring certain “dis-saving” variables (including selling household items) and gathering only 6 mo of costs-specific follow-up data for MDR TB patients.
Conclusions:
Despite free TB care, having TB disease was expensive for impoverished TB patients in Peru. Incurring higher relative costs was associated with adverse TB outcome. The population attributable fraction indicated that catastrophic costs and MDR TB were associated with similar proportions of adverse outcomes. Thus TB is a socioeconomic as well as infectious problem, and TB control interventions should address both the economic and clinical aspects of this disease.
Please see later in the article for the Editors' Summary
Vyšlo v časopise:
Defining Catastrophic Costs and Comparing Their Importance for Adverse Tuberculosis Outcome with Multi-Drug Resistance: A Prospective Cohort Study, Peru. PLoS Med 11(7): e32767. doi:10.1371/journal.pmed.1001675
Kategorie:
Research Article
prolekare.web.journal.doi_sk:
https://doi.org/10.1371/journal.pmed.1001675
Souhrn
Background:
Even when tuberculosis (TB) treatment is free, hidden costs incurred by patients and their households (TB-affected households) may worsen poverty and health. Extreme TB-associated costs have been termed “catastrophic” but are poorly defined. We studied TB-affected households' hidden costs and their association with adverse TB outcome to create a clinically relevant definition of catastrophic costs.
Methods and Findings:
From 26 October 2002 to 30 November 2009, TB patients (n = 876, 11% with multi-drug-resistant [MDR] TB) and healthy controls (n = 487) were recruited to a prospective cohort study in shantytowns in Lima, Peru. Patients were interviewed prior to and every 2–4 wk throughout treatment, recording direct (household expenses) and indirect (lost income) TB-related costs. Costs were expressed as a proportion of the household's annual income. In poorer households, costs were lower but constituted a higher proportion of the household's annual income: 27% (95% CI = 20%–43%) in the least-poor houses versus 48% (95% CI = 36%–50%) in the poorest. Adverse TB outcome was defined as death, treatment abandonment or treatment failure during therapy, or recurrence within 2 y. 23% (166/725) of patients with a defined treatment outcome had an adverse outcome. Total costs ≥20% of household annual income was defined as catastrophic because this threshold was most strongly associated with adverse TB outcome. Catastrophic costs were incurred by 345 households (39%). Having MDR TB was associated with a higher likelihood of incurring catastrophic costs (54% [95% CI = 43%–61%] versus 38% [95% CI = 34%–41%], p<0.003). Adverse outcome was independently associated with MDR TB (odds ratio [OR] = 8.4 [95% CI = 4.7–15], p<0.001), previous TB (OR = 2.1 [95% CI = 1.3–3.5], p = 0.005), days too unwell to work pre-treatment (OR = 1.01 [95% CI = 1.00–1.01], p = 0.02), and catastrophic costs (OR = 1.7 [95% CI = 1.1–2.6], p = 0.01). The adjusted population attributable fraction of adverse outcomes explained by catastrophic costs was 18% (95% CI = 6.9%–28%), similar to that of MDR TB (20% [95% CI = 14%–25%]). Sensitivity analyses demonstrated that existing catastrophic costs thresholds (≥10% or ≥15% of household annual income) were not associated with adverse outcome in our setting. Study limitations included not measuring certain “dis-saving” variables (including selling household items) and gathering only 6 mo of costs-specific follow-up data for MDR TB patients.
Conclusions:
Despite free TB care, having TB disease was expensive for impoverished TB patients in Peru. Incurring higher relative costs was associated with adverse TB outcome. The population attributable fraction indicated that catastrophic costs and MDR TB were associated with similar proportions of adverse outcomes. Thus TB is a socioeconomic as well as infectious problem, and TB control interventions should address both the economic and clinical aspects of this disease.
Please see later in the article for the Editors' Summary
Zdroje
1. World Health Organization (2012) Global tuberculosis report 2012. Available: http://apps.who.int/iris/bitstream/10665/75938/1/9789241564502_eng.pdf. Accessed 20 September 2013.
2. Xu K, Evans DB, Carrin G, Aguilar-Rivera AM (2005) Designing health financing systems to reduce catastrophic health expenditure. Technical brief for policy-makers, Number 2/2005. Geneva: World Health Organization. Available: http://www.who.int/health_financing/documents/cov-pb_e_05_2-cata_sys/en/. Accessed 12 June 2014.
3. LonnrothK, JaramilloE, WilliamsBG, DyeC, RaviglioneM (2009) Drivers of tuberculosis epidemics: the role of risk factors and social determinantes. Soc Sci Med 68: 2240–2246.
4. SpenceDP, HotchkissJ, WilliamsCS, DaviesPD (2003) Tuberculosis and poverty. BMJ 307: 759–761.
5. Solar O, Irwin A (2010) A conceptual framework for action on the social determinants of health. Social Determinants of Health Discussion, Paper 2 (Policy and Practice). Geneva: World Health Organization.
6. MauchV, WoodsN, KirubiB, KiprutoH, SitieneiJ, et al. (2011) Assessing access barriers to tuberculosis care with the tool to estimate patients' costs: pilot results from two districts in Kenya. BMC Public Health 11: 43 doi:10.1186/1471-2458-11-43.
7. BarterDM, AgboolaSO, MurrayMB, BärnighausenT (2012) Tuberculosis and poverty: the contribution of patient costs in sub-Saharan Africa—a systematic review. BMC Public Health 12: 980 doi:10.1186/1471-2458-12-980.
8. WyszewianskiL (1986) Families with catastrophic health care expenditures. Health Serv Res 21: 617–634.
9. RajeswariR, BalasubramanianR, MuniyandiM, GeetharamaniS, ThresaX, et al. (1999) Socio-economic impact of tuberculosis on patients and family in India. Int J Tuberc Lung Dis 3: 869–887.
10. MauchV, BonsuF, GyapongM, AwiniE, SuarezP, et al. (2013) Free tuberculosis diagnosis and treatment are not enough: patient cost evidence from three continents. Int J Tuberc Lung Dis 17: 381–387.
11. TanimuraT, JaramilloE, WeilD, RaviglioneM, LönnrothK (2014) Financial burden for tuberculosis patients in low- and middle-income countries—a systematic review. Eur Respir J 43: 1763–1775 doi:10.1183/09031936.00193413.
12. UkwajaKN, ModebeO, IgwenyiC, AlobuI (2012) The economic burden of tuberculosis care for patients and households in Africa: a systematic review. Int J Tuberc Lung Dis 16: 733–739.
13. World Health Organization (2014) 67th World Health Assembly: agenda. Documents A67/11 and EB134/2014/REC/1, resolution EB134.R4. Available: http://apps.who.int/gb/ebwha/pdf_files/WHA67/A67_1Rev1-en.pdf. Accessed 29 May 2013.
14. RaviglioneMC, DitiuL (2013) Setting new targets in the fight against tuberculosis. Nat Med 19: 263.
15. RussellS (2004) The economic burden of illness for households in developing countries: a review of studies focusing on malaria, tuberculosis, and human immunodeficiency virus/acquired immunodeficiency syndrome. Am J Trop Med Hyg 7: 147–155.
16. LaokriS, WeilO, Maxime DraboK, DembeleSM, KafandoB, et al. (2013) Removal of user fees no guarantee of universal health coverage: observations from Burkina Faso. Bull World Health Organ 91: 277–282.
17. BerkiSE (1986) A look at catastrophic medical expenses and the poor. Health Aff (Millwood) 5: 138–145.
18. LeiveA, XuK (2008) Coping with out-of-pocket health payments: empirical evidence from 15 African countries. Bull World Health Organ 86: 849–856.
19. AhmedS, KhanJ (2013) Catastrophic health expenditure associated with tuberculosis in Bangladesh [abstract]. 44th World Conference on Lung Health of the International Union Against Tuberculosis and Lung Disease (The Union); 30 Oct–3 Nov 2013; Paris, France. Int J Tuberc Lung Dis 17 (12 Suppl 2) 50–51.
20. UkwajaKN, AlobuI, AbimbolaS, HopewellPC (2013) Household catastrophic payments for tuberculosis care in Nigeria: incidence, determinants, and policy implications for universal health coverage. Infect Dis Poverty 2: 21.
21. XuK, EvansDB, KawabataK, ZeramdiniR, KlavusJ, et al. (2003) Household catastrophic health expenditure: a multicountry analysis. Lancet 362: 111–117.
22. Xu K, Klavus J, Kawabata K, Evans DB, Hanvoravongchai P, et al.. (2006) Household health system contributions and capacity to pay: definitional, empirical, and technical challenges. In: Murray CJ, Evans DB, editors. Health system performance assessment: debates methods and empiricism. pp. 532–542.
23. Moreno-SerraR, MillettC, SmithPC (2011) Towards improved measurement of financial protection in health. PLoS Med 8: e1001087 doi:10.1371/journal.pmed.1001087.
24. RugerJP (2012) An alternative framework for analyzing financial protection in health. PLoS Med 9: e1001294 doi:10.1371/journal.pmed.1001294.
25. World Health Organization (2011) Sixty-fourth World Health Assembly. Agenda item 13.4. Sustainable health financing structures and universal coverage. WHA64.9. Available: http://apps.who.int/gb/ebwha/pdf_files/WHA64/A64_R9-en.pdf. Accessed 1 March 2014.
26. United Nations (2013) A new global partnership: eradicate poverty and transform economies through sustainable development. The report of the High-Level Panel of Eminent Persons on the Post-2015 Development Agenda. New York: United Nations.
27. FloydK (2003) Costs and effectiveness—the impact of economic studies on TB control. Tuberculosis 83: 187–200.
28. BaltussenR, FloydK, DyeC (2005) Achieving the Millennium Development Goals for health—cost effectiveness analysis of strategies for tuberculosis control in developing countries. BMJ 331: 1364.
29. World Health Organization (2012) World health statistics 2012. Available: http://www.who.int/gho/publications/world_health_statistics/EN_WHS2012_Full.pdf. Accessed 3 March 2014.
30. JacksonS, SleighAC, WangGJ, LiuXL (2006) Poverty and the economic effects of TB in rural China. Int J Tuberc Lung Dis 10: 1104–1110.
31. MiglioriGB, EspinalM, DanilovaID, PungaVV, GrzemskaM, et al. (2002) Frequency of recurrence among MDR-TB cases ‘successfully’ treated with standardised short-course chemotherapy. Int J Tuberc Lung Dis 6: 858–864.
32. DatikoDG, LindtjornB (2009) Tuberculosis recurrence in smear-positive patients cured under DOTS in southern Ethiopia: retrospective cohort study. BMC Public Health 9: 348.
33. KempJR, MannG, SimwakaBN, SalaniponiFML, SquireSB (2007) Can Malawi's poor afford free tuberculosis services? Patient and household costs associated with a tuberculosis diagnosis in Lilongwe. Bull World Health Organ 85: 580–585.
34. Pizzi LT, Lofland JH (2006) Economic evaluation in U.S. health care: principles and applications. Sudbury (Canada): Jones and Bartlett Publishers.
35. RochaC, MontoyaR, ZevallosK, CuratolaA, YngaW, et al. (2011) The Innovative Socio-economic Interventions Against Tuberculosis (ISIAT) project: an operational assessment. Int J Tuberc Lung Dis 15 (Suppl 2) S50–S57 doi:10.5588/ijtld.10.0447.
36. BarberJ, ThompsonS (1998) Analysis and interpretation of cost data in randomized controlled trials: review of published studies. BMJ 317: 1195–1200.
37. BarberJA, ThompsonSG (2000) Analysis of cost data in randomized trials: an application of the non-parametric bootstrap. Stat Med 19: 3219–3236.
38. Harrell FE (2001) Regression modelling strategies: with applications to linear models, logistic regression and survival analysis. Springer Series in Statistics. New York: Springer-Verlag New York. 571 p.
39. BocciaD, HargreavesJ, De StavolaBL, FieldingK, SchaapA, et al. (2011) The association between household socioeconomic position and prevalent tuberculosis in Zambia: a case-control study. PLoS ONE 6: e20824 doi:10.1371/journal.pone.0020824.
40. LaokriS, DraboMK, WeilO, KafandoB, DembeleSM, et al. (2013) Patients are paying too much for tuberculosis: a direct cost-burden evaluation in Burkina Faso. PLoS ONE 8: e56752.
41. HoltgraveDR, CrosbyRA (2004) Social determinants of tuberculosis case rates in the United States. Am J Prev Med 26: 159–162.
42. GwatkinDR, GuillotM, HeuvelineP (1999) The burden of disease among the global poor. Lancet 354: 586–589.
43. LongQ, SmithH, ZhangT, TangS, GarnerP (2011) Patient medical costs for tuberculosis treatment and impact on adherence in China: a systematic review. BMC Public Health 11: 393.
44. SauerbornR, AdamsA, HienM (1996) Household strategies to cope with the economic cost of illness. Soc Sci Med 43: 281–290.
45. Dahlgren G, Whitehead M (2006) Concepts and principles for tackling social inequities in health. Copenhagen: World Health Organization Regional Office for Europe.
46. KamolratanakulP, SawertH, KongsinS, LertmaharitS, SriwongsaJ, et al. (1999) Economic impact of tuberculosis at the household level. Int J Tuberc Lung Dis 3: 596–602.
47. WagstaffA, van DoorslaerE (2003) Catastrophe and impoverishment in paying for health care: with applications to Vietnam 1993–1998. Health Econ 12: 921–934.
48. PeabodyJW, ShimkhadaR, TanCJr, LuckJ (2005) The burden of disease, economic costs and clinical consequences of tuberculosis in the Philippines. Health Policy Plan 20: 347–353.
49. TajerD (2003) Latin American social medicine: roots, development during the 1990s, and current challenges. Am J Public Health 93: 2023–2027.
50. Skoufias E (2005) Progresa and its impacts on the welfare of rural households in Mexico. Washington (District of Columbia): International Food Policy Research Institute.
51. KnaulFM, WongR, Arreola-OrnelasH, MéndezO (2011) Network on Health Financing and Social Protection in Latin America and the Caribbean (LANET) (2011) Household catastrophic health expenditures: a comparative analysis of twelve Latin American and Caribbean Countries. Salud Publica Mex 53 (Suppl 2) s85–s95.
52. CostaJG, SantosAC, RodriguesLC, BarretoML, RobertsJA (2005) Tuberculosis in Salvador, Brazil: costs to health system and families. Rev Saude Publica 39: 1–7.
53. RouzierVA, OxladeO, VerdugaR, GreselyL, MenziesD (2010) Patient and family costs associated with tuberculosis, including multidrug-resistant tuberculosis, in Ecuador. Int J Tuberc Lung Dis 14: 1316–1322.
54. LiuX, ThomsonR, GongY, ZhaoF, SquireSB, et al. (2007) How affordable are tuberculosis diagnosis and treatment in rural China? An analysis from community and tuberculosis patient perspectives. Trop Med Int Health 12: 1464–1471.
55. KikSV, OlthofSP, de VriesJT, MenziesD, KinclerN, et al. (2009) Direct and indirect costs of tuberculosis among immigrant patients in the Netherlands. BMC Public Health 9: 283 doi:10.1186/1471-2458-9-283.
56. McIntyreD, ThiedeM, DahlgrenG, WhiteheadM (2006) What are the economic consequences for households of illness and of paying for health care in low- and middle-income country contexts? Soc Sci Med 62: 858–865.
57. RussellS (1996) Ability to pay for health care: concepts and evidence. Health Policy Plan 11: 219–237.
58. RansonMK (2002) Reduction of catastrophic health care expenditures by a community-based health insurance scheme in Gujarat, India: current experiences and challenges. Bull World Health Organ 80: 613–621.
59. RahmanMM, GilmourS, SaitoE, SultanaP, ShibuyaK (2013) Health-related financial catastrophe, inequality and chronic illness in Bangladesh. PLoS ONE 8: e56873.
60. BoutayebA, BoutayebS (2005) The burden of non-communicable diseases in developing countries. Int J Equity Health 4: 2.
61. XuK, EvansDB, CarrinG, Aguilar-RiveraAM, MusgroveP, et al. (2007) Protecting households from catastrophic health spending. Health Aff (Millwood) 26: 972–983.
62. Murray C, Xu K, Klavus J, Kawabata K, Hanvoravongchai P, et al.. (2006) Assessing the distribution of household financial contributions to the health system: concepts and empirical application. In: CJMurray, Evans DB, editors. Health system performance assessment: debates, methods, and empiricism. pp. 512–531.
63. O'Donnell O, van Doorslaer E, Wagstaff A, Linelow M (2008) Analyzing health equity using household survey data. a guide to techniques and their implementation. Washington (District of Columbia): World Bank. Available: http://elibrary.worldbank.org/doi/book/10.1596/978-0-8213-6933-3. Accessed 12 June 2014.
64. International Monetary Fund (2011) World economic outlook: September 2011—slowing growth, rising risks. Available: http://www.imf.org/external/pubs/ft/weo/2011/02/pdf/text.pdf. Accessed 12 June 2014.
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