Medicine expenses and obesity in Brazil: an analysis based on the household budget survey

Imagem de Miniatura
Arquivos
art_CANELLA_Medicine_expenses_and_obesity_in_Brazil_an_analysis_2016.PDF (443.23 KB)
Citações na Scopus
10
Tipo de produção
article
Data de publicação
2016
DOI
Scopus
Web of Science
PubMed
Título da Revista
ISSN da Revista
Título do Volume
Editora
BIOMED CENTRAL LTD
Autores
CANELLA, Daniela S.
Citação
BMC PUBLIC HEALTH, v.16, article ID 54, 8p, 2016
Projetos de Pesquisa
Unidades Organizacionais
Fascículo
Resumo
Background: Obesity can be considered a global public health problem that affects virtually all countries worldwide and results in greater use of healthcare services and higher healthcare costs. We aimed to describe average monthly household medicine expenses according to source of funding, public or private, and to estimate the influence of the presence of obese residents in households on total medicine expenses. Methods: This study was based on data from the 2008-2009 Brazilian Household Budget Survey, with a representative population sample of 55,970 households as study units. Information on nutritional status and medicines acquired and their cost in the past 30 days were analyzed. A two-part model was employed to assess the influence of obesity on medicine expenses, with monthly household medicine expenses per capita as outcome, presence of obese in the household as explanatory variable, and adjustment for confounding variables. Results: Out-of-pocket expenses on medicines were always higher than the cost of medicines obtained through the public sector, and 32 % of households had at least one obese as resident. Monthly household expenses on medicines per capita in households with obese was US$ 20.40, 16 % higher than in households with no obese. An adjusted model confirmed that the presence of obese in the households increased medicine expenses. Conclusion: Obesity is associated with additional medicine expenses, increasing the negative impact on household budgets and public expenditure.
Palavras-chave
Costs, Obesity, Pharmaceuticals, Health systems, Household budget survey, Public health, Epidemiology
URI
https://observatorio.fm.usp.br/handle/OPI/13495
Referências
  1. Paim J, 2011, LANCET, V377, P1778, DOI 10.1016/S0140-6736(11)60054-8
  2. Konnopka A, 2011, EUR J HEALTH ECON, V12, P345, DOI 10.1007/s10198-010-0242-6
  3. Garcia LP, 2013, CAD SAUDE PUBLICA, V29, P1605, DOI 10.1590/0102-311X00070912
  4. Finucane MM, 2011, LANCET, V377, P557, DOI 10.1016/S0140-6736(10)62037-5
  5. Garcia LP, 2013, CIENC SAUDE COLETIVA, V18, P115, DOI 10.1590/S1413-81232013000100013
  6. Boing AC, 2013, CAD SAUDE PUBLICA, V29, P691, DOI 10.1590/S0102-311X2013000400007
  7. Colagiuri S, 2010, MED J AUSTRALIA, V192, P260
  8. Bell JF, 2011, OBESITY, V19, P228, DOI 10.1038/oby.2010.104
  9. Wee CC, 2005, AM J PUBLIC HEALTH, V95, P159, DOI 10.2105/AJPH.2003.027946
  10. Finkelstein EA, 2009, HEALTH AFFAIR, V28, pW822, DOI 10.1377/hlthaff.28.5.w822
  11. Vieira FS, 2013, SAUDE SOC-SAO PAULO, V22, P73, DOI 10.1590/S0104-12902013000100008
  12. Diehr P, 1999, ANNU REV PUBL HEALTH, V20, P125, DOI 10.1146/annurev.publhealth.20.1.125
  13. Esposti ED, 2006, CLIN THER, V28, P1472, DOI 10.1016/j.clinthera.2006.09.016
  14. Withrow D, 2011, OBES REV, V12, P131, DOI 10.1111/j.1467-789X.2009.00712.x
  15. Sichieri R, 2007, CAD SAUDE PUBLICA, V23, P1721, DOI 10.1590/S0102-311X2007000700025
  16. Boing AC, 2011, REV SAUDE PUBL, V45, P897, DOI [10.1590/S0034-89102011005000054, 10.1590/s0034-89102011005000054]
  17. Trogdon JG, 2012, OBESITY, V20, P214, DOI 10.1038/oby.2011.169
  18. Stuart B, 2008, CURR MED RES OPIN, V24, P2377, DOI 10.1185/03007990802262275
  19. Barros AJD, 2011, CAD SAUDE PUBLICA, V27, pS254, DOI 10.1590/S0102-311X2011001400012
  20. de Onis M, 2007, B WORLD HEALTH ORGAN, V85, P660, DOI 10.2471/BLT.07.043497
  21. Bahia L, 2012, BMC PUBLIC HEALTH, V12, DOI 10.1186/1471-2458-12-440
  22. Cerveny CMO, 2000, FAMILIA COMO MODELO
  23. Instituto Brasileiro de Geografia e Estatistica, 2009, PESQ ORC FAM 2008 20
  24. Instituto Brasileiro de Geografia e Estatistica, 2010, PESQ NAC AM DOM PAN
  25. Instituto Brasileiro de Geografia e Estatistica, 2010, PESQ ORC FAM 2008 20
  26. Ministerio da Saude, 2014, FARM POP BARS
  27. Ministerio da Saude. Secretaria de Vigilancia em Saude Departamento de Vigilancia de Doencas e Agravos nao Transmissiveis e Promooao de Saude, 2013, VIG BRAS 2012 VIG FA
  28. O'Donnell O, 2008, ANAL HLTH EQUITY USI
  29. Oliveira ML, 2015, PLOS ONE, V10, DOI 10.1371/JOURNAL.PONE.0121160
  30. Organization for Economic Co-operation and Development, 2010, OB EC PREV FIT NOT F
  31. Pereira J, 1999, 499 ASS PORT EC SAUD
  32. Silveira Fernando Gaiger, 2002, Ciênc. saúde coletiva, V7, P719, DOI 10.1590/S1413-81232002000400009
  33. Tarride Jean-Eric, 2012, Clinicoecon Outcomes Res, V4, P21, DOI 10.2147/CEOR.S24192
  34. The World Bank, 2014, PPP CONV FACT GDP LC
  35. WHO, 1995, WHO TECHN REP SER, V854
  36. WHO, 2006, WHO CHILD GROWTH STA
  37. World Health Organization, 2000, HLTH EC DRUGS SER, V3
  38. World Health Organization, 2003, DIET NUTR PREV CHRON

Coleções
Artigos e Materiais de Revistas Científicas - FM/MPR
Artigos e Materiais de Revistas Científicas - LIM/38
Artigos e Materiais de Revistas Científicas - LIM/39
Artigos e Materiais de Revistas Científicas - ODS/03