Economic costs and burden of dengue disease in Cavite Province, Philippines
DOI:
https://doi.org/10.15448/1980-6108.2016.2.22772Palavras-chave:
dengue, efeitos psicossociais da doença, carga da doença, impacto da doença, custos da doença, anos de vida perdidos por incapacidade, custos e análise de custo, perda de produtividade, Filipinas.Resumo
Custos econômicos e impacto da dengue na Província de Cavite, Filipinas
Objetivos: Determinar os custos econômicos e o impacto da dengue na Província de Cavite, uma das áreas altamente infligidas por dengue nas Filipinas.
Métodos: Este estudo utilizou os anos de vida ajustados por incapacidade (Disability Adjusted Life Years - DALYs) para calcular o impacto da dengue e quantificar os custos diretos e indiretos devidos aos casos de dengue atendidos em hospital ou em ambulatório. Os DALYs foram estimados usando métodos desenvolvidos pela Organização Mundial de Saúde e pelo Banco Mundial. Calculamos especificamente os anos de vida perdidos entre 2009-2014, usando dados dos pacientes hospitalizados. Os anos vividos com incapacidade foram derivados de registros hospitalares sobre o tipo específico da dengue (dengue clássica / dengue hemorrágica) na Província de Cavite.
Resultados: Foi identificado um custo anual de 99.147.173 pesos das Filipinas (PHP), equivalentes a 2.300.000 dólares dos Estados Unidos (USD). O custo médio anual por caso de dengue foi 32.324 PHP (734 USD). O subgrupo etário 21-25 anos teve o maior custo direto anual, que atingiu 243.181 PHP (5.526 USD), seguido pelo subgrupo 45-54 anos, que atingiu 201.481 PHP (4.579 USD). De 2009 a 2014, o impacto anual da doença foi estimado em 178,282 DALYs (equivalentes a um DALY pedido por cada 17 pessoas na Província de Cavite).
Conclusões: As estimativas de custos e os DALYs sugerem um alto impacto e substanciais custos econômicos da dengue na Província de Cavite, Filipinas.
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Referências
Hales S, de Wet N, Maindonald J, Woodward A. Potential effect of population and climate changes on global distribution of dengue fever: an empirical model. Lancet. 2002;360(9336):811-84. http://dx.doi.org/10.1016/S0140-6736(02)09964-6
World Health Organization. Dengue and Severe Dengue. Fact Sheet no.117 [Internet].Geneva; 2014 [cited 2014 December 10]. Available from: http://www.who.int/mediacentre/factsheets/fs117/en/
Brady OJ, Gething PW, Bhatt S, Messina JP, Brownstein JS, Hoen AG, Moyes CL, Farlow AW, Scott TW, Hay SI. Refining the global spatial limits of dengue virus transmission by evidence-based consensus. PLoS Negl Trop Dis. 2012;6(8):e1760. http://dx.doi.org/10.1371/journal.pntd.0001760
Bravo L, Roque VG, Brett J, Dizon R, L'Azou M. Epidemiology of dengue disease in the Philippines (2000-2011): A Systematic Literature Review. PLoS Negl Trop Dis. 2014;8(11):1-11. http://dx.doi.org/10.1371/journal.pntd.0003027
Anker M, Arima Y. Male-female differences in the number of reported incident dengue fever cases in six Asian countries. Western Pacific Surveillance Response J. 2011;2(2):17-23. http://dx.doi.org/10.5365/wpsar.2011.2.1.002
Gubler DJ. Epidermic dengue/dengue hemorrhage fever as a public health, social, and economic problem in the 21st century. Trends Microbiol. 2002;10(2):100-3. http://dx.doi.org/10.1016/S0966-842X(01)02288-0
Shepard DS, Undurraga EA, Halasa YA. Economic and disease burden of dengue in Southeast Asia. PLoS Negl Trop Dis. 2013;7(2):1-12. http://dx.doi.org/10.1371/journal.pntd.0002055
Ooi EE, Gubler DJ. Dengue in Southeast Asia: epidemiological characteristics and strategic challenges in disease prevention. Cad Saude Publica. 2009;25(Suppl 1):115-24. http://dx.doi.org/10.1590/S0102-311X2009001300011
Guzman MG, Kouri G. Dengue: an update. Lancet Infect Dis. 2002;2(1):33-42. http://dx.doi.org/10.1016/S1473-3099(01)00171-2
World Health Organization. International Travel and Health DENGUE [Internet]. Geneva; 2013 [cited 2014 March 5]. Available from http://www.who.int/ith/diseases/dengue/en/index.html
Baly A, Toledo ME, Rodriguez K, Benitez JR, Rodriguez M, Boelaert M, Vanlerberghe V, Van der Stuyft P. Costs of dengue prevention and incremental cost of dengue outbreak control in Guantanamo, Cuba. Trop Med Int Health. 2012;17(1):123-32. http://dx.doi.org/10.1111/j.1365-3156.2011.02881.x
Carrasco LR, Lee LK, Lee VJ, Ooi EE, Shepard DS, Thein TL, Gan V, Cook AR, Lye D, Ng LC, Leo YS. Economic Impact of Dengue Illness and the Cost-effectiveness of future vaccination programs in Singapore. PLoS Negl Trop Dis. 2011;5(12):1-9. http://dx.doi.org/10.1371/journal.pntd.0001426
Orellano PW, Pedroni E. Cost-benefit analysis of vector control in areas of potential dengue transmission. Rev Panam Salud Publica 2008; 24(2):113-9. http://dx.doi.org/10.1590/S1020-49892008000800005
Stahl HC, Butenschoen VM, Tran HT, Gozzer E, Skewes R, Mahendradhata Y, Runge-Ranzinger S, Kroeger A, Farlow A. Cost of dengue outbreaks: literature review and country case studies. BMC Public Health. 2013;13:1048. http://dx.doi.org/10.1186/1471-2458-13-1048
Beatty ME, Beutels P, Meltzer MI, Shepard DS, Hombach J, Hutubessy R, Dessis D, Coudeville L, Dervaux B, Wichmann O, Margolis HS, Kuritsky JN. Health Economics of Dengue: A systematic literature review and expert panel's assessment. Am J Trop Med Hyg. 2011;4(3):473-88. http://dx.doi.org/10.4269/ajtmh.2011.10-0521
Shepard, DS, Suaya, JA. Cost-Effectiveness of a Dengue Vaccine in Southeast Asia and Panama: Preliminary Estimates. Handbook of Disease Burdens and Quality of Life Measures. New York: Springer, 2010.
National Statistics Office. Republic of the Philippines. 2010 census and housing population [Internet]. Philippines; 2010 [ cited 2014 December 8]. Available from: http://census.gov.ph/content/2010-census-population-and-housing-reveals-philippine-population-9234-million
Department of Health. National Epidemiology Center. Disease Surveillance Report. Morbidity Week [Internet]. Philippines; 2013. [updated July 2013; cited 2014 April 15]. Available from: http://www.doh.gov.ph
Department of Health. Philippines. The 2009 Health Statistics [Internet]. Philippines; 2009 [cited 2014 November 20]. Available from: http://www.doh.gov.ph/sites/default/files/
Department of Health. Philippines. Disease Surveillance [Internet]. Philippines; 2011a [cited 2014 December 30]. Available from: http://www.doh.gov.ph/disease-surveillance.html
Department of Health. Philippines. Unified Health Management Information System [Internet]. Philippines; 2011b [cited 2014 December 30]. Available from: http://nec.doh.gov.ph/
National Statistical Coordination Board (NSCB), Philippines GDP Deflator, Metro Manila: 2015. [Cited 2016 April 3] Available from http://www.tradingeconomics.com/philippines
Luz PM, Grinsztejn B, Galvan AP. Disability adjusted life years lost to dengue in Brazil. Trop Med Int Health; 2009;14(2):237-46. http://dx.doi.org/10.1111/j.1365-3156.2008.02203.x
World Health Organization. Western Pacific Regional Office Dengue Situation[Internet]. Geneva; 2011 [updated 2011 Nov; cited 2014 December 10]. Available from: http://www.wpro.who.int/emerging_diseases/documents/Dengue.Biweekly.8Nov2011.pdf
.Koopmanschap MA, Rutten FFH, Vanineveld BM, Vanroijen L. The friction cost method for measuring indirect costs of disease. J Health Econ. 1995;14:171-89. http://dx.doi.org/10.1016/0167-6296(94)00044-5
Beaute J, Vong S. Cost and disease burden of dengue in Cambodia. BMC Public Health. 2010;10:521. http://dx.doi.org/10.1186/1471-2458-10-521
Huy R, Wichmann O, Beatty M, et al. Cost of dengue and other febrile illnesses to households in rural Cambodia: a prospective community-based case-control study. BMC Public Health. 2009;9:155. http://dx.doi.org/10.1186/1471-2458-9-155
Suaya JA, Shepard DS, Siqueira JB, et al. Cost of dengue cases in eight countries in the Americas and Asia: a prospective study. Am J Trop Med Hyg; 2009; 80(5):846-55.
Canyon DV. Historical analysis of the economic cost of dengue in Australia. J Vector Borne Dis. 2008;45(3):245-8.
Wage Order No. 4A-14 Setting the Minimum Wage for Region 4A(CALABARZON) [Internet]. Department of Labor and Employment, Republic of the Philippines. [cited 2014 December 10] Available from: http://www.ilo.org/dyn/travail/docs/1177/Minimum%20Wage%20Order%20No.%20IV-A%20-%2014%20-%20Region%20IV-A.pdf
Lum LC. Suaya JA, Lian HT, Sah BK, Shepard DS. Quality of life of dengue patients. Am J Trop Med Hyg. 2008;78:862-7.
Health Policy Plan. EuroQol - a new facility for the measurement of health-related quality of life. Euro Qol Group. 1990;16:199-208.
Murray CJL, Lopez AD. (eds). The Global Burden of Disease, Vol 1-2, Cambridge MA: Harvard School of Public Health, World Health Organization, World Bank, 1996a.
Murray, CJL, Lopez, A.D. (eds). 1996b. The Global Burden of Disease: A comprehensive Assessment of Mortality and Disability from Diseases, Injuries and Risk Factors in 1990 and projected to 2020. Volume 10, Cambridge MA: Harvard University Press,1996.
Mathers CD, Vos T, Lopez AD, Salomon J, Ezzati M. (ed.). National Burden of Disease Studies: A Practical Guide. Edition 2.0. Global Program on Evidence for Health Policy. Geneva: World Health Organization, 2001.
Murray, CJL. Quantifying the burden of disease: The technical basis for disability-adjusted life years. Bulletin of the World Health Organization, 1994;72(3):429-45.
Murray CJ, Vos T, Lozano R, Naghavi M, Flaxman AD, Michaud C, and Global Burden of Disease Study 2010 Collaborators. Disability-adjusted life years (DALYs) for 291 diseases and injuries in 21 regions, 1990-2010: a systematic analysis for the Global Burden of Disease Study 2010. Lancet. 2012;380(9859):2197-223. http://dx.doi.org/10.1016/S0140-6736(12)61689-4
Grosse SD, Lollar DJ, Campbell VA, Chamie M. Disability and Disability-Adjusted Life Years: Not the Same. Public Health Rep. 2009;124(2):197-202.
Wagner RG, Ibinda F, Tollman S, Lindholm L, Newton CR, Bertram MY. Differing Methods and Definitions Influence DALY estimates: Using Population-Based Data to Calculate the Burden of Convulsive Epilepsy in Rural South Africa. PLoS ONE. 2015;10(12):e0145300. http://dx.doi.org/10.1371/journal.pone.0145300
Schroeder SA. Incidence, prevalence, and hybrid approaches to calculating disability-adjusted life years. Population Health Metrics 2012;10:19. http://dx.doi.org/10.1186/1478-7954-10-19
Kominski GF1, Simon PA, Ho A, Luck J, Lim YW, Fielding JE. Assessing the burden of disease and injury in Los Angeles County using disability-adjusted life years. Public Health Rep. 2002;117(2):185-91. http://dx.doi.org/10.1016/S0033-3549(04)50125-5
National Statistical Coordination Board (NSCB), Peso US Dollar, Metro Manila: 2014. [Cited 2016 April 2] Available from http://www.nscb.gov.ph/stats/pesodollar.asp
Global Burden of Disease Study 2013 Collaborators. Global, regional, and national incidence, prevalence, and years lived with disability for 301 acute and chronic diseases and injuries in 188 countries, 1990-2013: a systematic analysis for the Global Burden of Disease Study 2013. Lancet. 2015;386(9995):743-800. http://dx.doi.org/10.1016/S0140-6736(15)60692-4
Harving ML, Ronsholt FF. The economic impact of dengue hemorrhagic fever on family level in Southern Vietnam. Danish Med Bull. 2007;54:170-2.
Suaya JA, Shepard DS, Chang MS, Caram M, Hoyer S, Socheat D, Chantha N, Nathan MB. Cost-effectiveness of annual targeted larviciding campaigns in Cambodia against the dengue vector Aedes aegypti. Trop Med Int Health. 2007;12:1026-36. http://dx.doi.org/10.1111/j.1365-3156.2007.01889.x
Okanurak K, Sornmani S, Indaratna K. The cost of dengue hemorrhagic fever in Thailand. Southeast Asian J Trop Med Public Health. 1997;28:711-17.
Shepard DS, Undurraga EA, Lees RS, Halasa Y, Lum LC, Ng CW. Use of multiple data sources to estimate the economic cost of dengue illness in Malaysia. Am J Trop Med Hyg. 2012;87:796-805. http://dx.doi.org/10.4269/ajtmh.2012.12-0019
Stillwaggon E, Carrier CS, Sautter M, McLeod R. Maternal serologic screening to prevent congenital toxoplasmosis: a decision-analytic economic model. PLoS Negl Trop Dis. 2011;5(9):e1333. http://dx.doi.org/10.1371/journal.pntd.0001333
Tam PT, Dat NT, Huu le M, Thi XC, Duc HM, Tu TC, Kutcher S, Ryan PA, Kay BH. High household economic burden caused by hospitalization of patients with severe dengue fever cases in Can Tho province, Vietnam. Am J Trop Med Hyg. 2012;87(3):554-8. http://dx.doi.org/10.4269/ajtmh.2012.12-0101
Department of Health. Philippines. National Objectives for health, Philippines 2005 – 2010 [Internet]. Philippines; 2010. [cited 2014 December 10]. Available from: http://www.doh.gov.ph/sites/default/files/NOH2005.pdf
Anker M, Arima Y. Male and female differences in the number of reported incident dengue fever cases in six Asian countries. Western Pac Surveill Response J. 2011;2(2):17-23. http://dx.doi.org/10.5365/wpsar.2011.2.1.002
Rigau-Perez JG, Clark GG, Gubler DJ, Reiter P, Sanders EJ, Vorndam AV. Dengue and dengue haemorrhagic fever. Lancet. 1998;352(9132):971-7. http://dx.doi.org/10.1016/S0140-6736(97)12483-7
Cao XT, Ngo TN, Wills B, Kneen R, Nguyen TT, Ta TT, Tran TT, Doan TK, Solomon T, Simpson JA, White NJ, Farrar JJ; Dong Nai Paediatric Hospital Study Group. Evaluation of the World Health Organization standard tourniquet test and a modified tourniquet test in the diagnosis of dengue infection in Viet Nam. Trop Med Int Health. 2002;7:125-32. http://dx.doi.org/10.1046/j.1365-3156.2002.00841.x
Eong OE. Changing pattern of dengue transmission in Singapore. Dengue Bull. 2001;25:40-4.
Günther J. Distribution of dengue cases in the state of Oaxaca, Mexico, during the period 2004-2006. J Clin Virol. 2009;45:218-22. http://dx.doi.org/10.1016/j.jcv.2009.05.007
Amarasinghe A, Kuritsk JN, Letson GW, Margolis HS. Dengue virus infection in Africa. Emerg Infect Dis. 2011;17(8):1349-54. http://dx.doi.org/10.3201/eid1708.101515
Hammond SN, Balmaseda A, Pérez L, Tellez Y, Saborío SI, Mercado JC, Videa E, Rodriguez Y, Pérez MA, Cuadra R, Solano S, Rocha J, Idiaquez W, Gonzalez A, Harris E. Differences in dengue severity in infants, children, and adults in a 3-year hospital-based study in Nicaragua. Am J Trop Med Hyg. 2005;73(6):1063-70.
Department of Health. Dengue Fact Sheet [Internet]. Philippines; 2014 [cited 2014 December 7]. Available from: http://www.doh.gov.ph.node/302
Peabody JW, Shimkhada R, Tan C Jr, Luck J. The burden of disease, economic costs and clinical consequences of tuberculosis in the Philippines. Health Policy Plan. 2005;20(6):347-53. http://dx.doi.org/10.1093/heapol/czi041
Tupasi TE, Gupta R, Quelapio MI, Orillaza RB, Mira NR, Mangubat NV, Belen V, Arnisto N, Macalintal L, Arabit M, Lagahid JY, Espinal M, Floyd K. Feasibility and cost-effectiveness of treating multi-drug resistanr tuberculosis: A cohort study in the Philippines. PloS Med. 2006;3(9):e352. http://dx.doi.org/10.1371/journal.pmed.0030352
