Use of medical services and medicines attributable to diabetes in Sub-Saharan Africa

Jonathan Betz Brown, Kaushik Ramaiya, Stéphane Besançon, Paul Rheeder, Clarisse Mapa Tassou, Jean-Claude Mbanya, Katarzyna Kissimova-Skarbek, Eva Wangechi Njenga, Eva Wangui Muchemi, Harrison Kiambuthi Wanjiru, Erin Schneider, Jonathan Betz Brown, Kaushik Ramaiya, Stéphane Besançon, Paul Rheeder, Clarisse Mapa Tassou, Jean-Claude Mbanya, Katarzyna Kissimova-Skarbek, Eva Wangechi Njenga, Eva Wangui Muchemi, Harrison Kiambuthi Wanjiru, Erin Schneider

Abstract

Background: Although the large majority of persons with diabetes and other non-communicable diseases (NCDs) lives and dies in low- and middle-income countries, the prevention and treatment of diabetes and other NCDs is widely neglected in these areas. A contributing reason may be that, unlike the impacts of acute and communicable diseases, the demands on resources imposed by diabetes is not superficially obvious, and studies capable of detecting these impacts have not be done.

Methods: To ascertain recent use of medical services and medicines and other information about the impact of ill-health, we in 2008-2009 conducted structured, personal interviews with 1,780 persons with diagnosed diabetes (DMs) and 1,770 matched comparison subjects (MCs) without diabetes in Cameroon, Mali, Tanzania and South Africa. We sampled DMs from diabetes registries and, in Cameroon and South Africa, from attendees at outpatient diabetes clinics. To recruit MCs, we asked subjects with diabetes to identify five persons living nearest to them who were of the same sex and approximate age. We estimated diabetes impact on medical services use by calculating ratios and differences between DMs and MCs, testing for statistical significance using two-stage multivariable hurdle models.

Findings: DMs consumed 12.95 times more days of inpatient treatment, 7.54 times more outpatient visits, and 5.61 times more medications than MCs (all p<0.001). DMs used an estimated 3.44 inpatient days per person per year, made 10.72 outpatient visits per person per year (excluding traditional healers), and were taking an average of 2.49 prescribed medicines when interviewed.

Conclusions: In Sub-Saharan Africa, the relative incremental use of medical care and medicines associated with diagnosed diabetes is much greater than in industrialized countries and in China. Published calculations of the health-system impact of diabetes in Africa are dramatic underestimates. Although non-communicable diseases like diabetes are commonly thought to be minor problems for health systems and patients in Africa, our data demonstrate the opposite.

Conflict of interest statement

Competing Interests: Before retirement in 11/09 J. Brown led or could have led studies funded by research contracts with Novo Nordisk, GSK, Takeda Pharmaceuticals North America, Eli Lilly, and Merck. J. Brown had no consulting or other paid or unpaid arrangements with these or other actual or potential commercial funders. Starting in 2002 J. Brown led the creation of the IDF Economic Studies Fund with funds from Novo Nordisk, GSK, Takeda, Eli Lilly, and Merck. As per the rules of the Fund established before solicitation, the funders did not participate in decisions regarding countries to be studied or in doing, analyzing or writing up any study. Since election in Oct 2009 as unpaid IDF VP, J. Brown has accepted no grants or contracts or gifts or employment from any drug or device firms and has not accepted any positions on their editorial or advisory groups. In 2010, J. Brown accepted travel reimbursement from Novo Nordisk to speak at the 6th International Symposium on Diabetes and Pregnancy. In 2009, at the request of IDF, J. Brown accepted reimbursement from IDF to speak at a satellite meeting of ADA sponsored by Roche and Co. During most of this study Dr. Skarbek was an employee of the IDF. IDF is supported financially by many commercial entities. She declares that no competing interests exist. All other authors have no potentially competing interests. The authors declare that none of the competing interests described above will alter the authors’ adherence to all the PLOS One policies on sharing data and materials.

References

    1. Beaglehole R, Bonita R, Alleyne G, Horton R, Li L, et al. (June 2011) UN High-Level Meeting on Non-Communicable Diseases: Addressing four questions. 378(9789): 449–455.
    1. International Diabetes Federation (2011) IDF Diabetes Atlas, Fifth Edition. Brussels: International Diabetes Federation. ISBN: 2-930229-80-2. Available: . Accessed on 15 August 2014.
    1. Zhang P, Zhang X, Brown J, Vistisen D, Sicree R, et al. (2010) Global healthcare expenditure on diabetes for 2010 and 2030. Diabetes Res Clin Pract 87(3): 293–301.
    1. Mohan V, Deepa M, Deepa R, Shanthirani CS, Faroog S, et al. (2006) Secular trends in the prevalence of diabetes and impaired glucose tolerance in urban South India–The Chennai Urban Rural Epidemiology Study (CURES-17). Diabetologia 49: 1175–8.
    1. Yang W, Lu J, Weng J, Jia W, Ji L, et al. (2010) Prevalence of diabetes among men and women in China. N Engl J Med 362(12): 1090–101.
    1. Nolan CJ, Damm P, Prentki M (2011) Type 2 diabetes across generations: From pathophysiology to prevention and management. Lancet 78(9786): 169–81.
    1. Hu FB (2011) Globalization of diabetes. The role of diet, lifestyle, and genes. Diabetes Care 34: 1249–1257.
    1. Roseboom TJ, Painter RC, van Abeelen AF, Veenendaal MV, de RooijSR (2011) Hungry in the womb: What are the consequences? Lessons from the Dutch famine. Maturitas 2: 141–145.
    1. Franks PD (2012) The complex interplay of genetic and lifestyle risk factors in type 2 diabetes: an overview. Scientifica 2012: 482186. Available at .
    1. Peters A, Kubera B, Hubold C, Langemann D (2013) The corpulent phenotype-how the brain maximizes survival in stressful environments. Front Neurosci 7: 47.
    1. Stringhini S, Tabak AG, Akbaraly TN, Sabia S, Shipley MJ, et al. (2012) Contribution of modifiable risk factors to social inequalities in type 2 diabetes: prospective Whitehall II cohort study. BMJ Aug 21 345: e5452.
    1. Yang W, Zhao W, Xiao J, Li R, Zhang P, et al. (2012) Medical Care and Payment for Diabetes in China: Enormous Threat and Great Opportunity. PLoS ONE 7(9): e39513.
    1. Chale SS, Swai ABM, Mujinja PGM, McLarty DG (1992) Must diabetes be a fatal disease in Africa? Study of costs of treatment. BMJ 304: 1215–1218.
    1. Beran D, Yudkin JS (2006) Diabetes care in sub-Saharan Africa. Lancet 368: 1689–1695.
    1. Nkegoum AV (2002) “Coût direct et indirect du diabéte en l'absence de complications chroniques a Yaoundé, Cameroun.” MD thesis, University of Yaoundé I, Cameroon.
    1. Ringborg A, Cropet C, Jönsson B, Gagliardino JJ, Ramachandran A, et al. (2009) Resource use associated with type 2 diabetes in Asia, Latin America, the Middle East and Africa: results from the International Diabetes Management Practices Study (IDMPS). Int J Clin Pract 63: 980–2.
    1. Adams PF, Hendershot GE, and Marano MA (1999). Current estimates from the National Health Interview Survey, 1996. National Center for Health Statistics Vital Health Stat 10(200).
    1. National Center for Health Statistics, G. S, Bonham (1983): Procedures and questionnaires of the National Medical Care Utilization and Expenditure Survey. National Medical Care Utilization and Expenditure Survey, Series A, Methodological Report No. 1. DHHS Pub. No. 83-20001. Public Health Service. Washington. U.S. Government Printing Office, Mar.
    1. Rivest L-P (2004) Statistical properties of Winsorized means for skewed distributions. Biometrika 81(2): 373–383.
    1. Weichle T, Hynes DM, Durazo-Arvizu R, Tarlov E, Zhang Q (2013) Impact of alternative approaches to assess outlying and influential observations on health care costs. SpringerPlus 2: 614.
    1. Zeileis A, Kleiber C, Jackman S (2008) Regression models for count data in R. J Stat Softw July. 27(8): 1–25.
    1. Selby JV, Ray GT, Zhang D, Colby CJ (1997) Excess costs of medical care for patients with diabetes in a managed care population. Diabetes Care 20(9): 1396–402.
    1. Jönsson B (1998) The economic impact of diabetes. Diabetes Care 21 Suppl 3C7–10.
    1. Brown JB, Nichols GA, Glauber HS, Bakst AW (1999) Type 2 diabetes: Incremental medical care costs during the first 8 years after diagnosis. Diabetes Care 22(7): 1116–24.
    1. American Diabetes Association (2013) Economic costs of diabetes in the U.S. in 2012. Diabetes Care 36(4): 1033–46.
    1. Köster I, von Ferber L, Ihle P, Schubert I, Hauner H (2006) The cost burden of diabetes mellitus: the evidence from Germany–the CoDiM study. Diabetologia 49(7): 1498–504.
    1. Mbanya JCN, Motala AA, Sobngwi E, Assah FK, Enoru ST (2010) Diabetes in sub-Saharan Africa. Lancet 375: 2254–66.
    1. Gaziano TA, Opie LH, Weinstein MC (2006) Cardiovascular disease prevention with a multidrug regimen in the developing world: A cost-effectiveness analysis. Lancet 368: 679–86.
    1. Lim S, Gaziano TA, Gakidou E, Reddy KS, Farzadfar F, et al. (2007) Prevention of cardiovascular disease in high-risk individuals in low-income and middle-income countries: Health effects and costs. Lancet 370: 2054–62.
    1. Li R, Zhang P, Barker LE, Chowdhury FM, Zhang X (2010) Cost-effectiveness of interventions to prevent and control diabetes mellitus: A systematic review. Diabetes Care 33(8): 1872–94.
    1. Taylor F, Ward K, Moore TH, Burke M, Davey Smith G, et al. (2011) Statins for the primary prevention of cardiovascular disease. Cochrane Database Syst Rev Jan 19; (1): CD004816, pub 4.
    1. Holman RR, Paul SK, Bethel MA, Matthews DR, Neil HA (2008) 10-year follow-up of intensive glucose control in type 2 diabetes. N Engl J Med 359(15): 1577–89.
    1. Holman RR, Paul SK, Bethel MA, Neil HA, Matthews DR (2008) Long-term follow-up after tight control of blood pressure in type 2 diabetes. N Engl J Med 359(15): 1565–76.
    1. Wald NJ, Law MR (2003) A strategy to reduce cardiovascular disease by more than 80%. BMJ 326: 1419.
    1. Law MR, Morris JK, Wald NJ (2009) Use of blood pressure lowering drugs in the prevention of cardiovascular disease: Meta-analysis of 147 randomised trials in the context of expectations from prospective epidemiological studies. BMJ 338: b1665.
    1. World Bank. Data: GNI per capita, Atlas method (current US$) (2008). Available: . Accessed April 15, 2013.
    1. Statistics South Africa (2012). Census 2011: Census in Brief. Available: . Accessed 15 April 2013.
    1. Leibbrandt M, Woolard I, Finn A, Argent J (2010) “Trends in South African Income Distribution and Poverty since the Fall of Apartheid”, OECD Social, Employment and Migration Working Papers, No. 101, OECD Publishing.
    1. Wild S, Rojlik G, Green A (2004) Global Prevalence of Diabetes. Estimates for the year 2000 and projections for 2030. Diabetes Care 27: 1047–1053.
    1. Peer N, Steyn K, Lombard C, Lambert EV, Vythilingum B, et al. (2012) Rising Diabetes Prevalence among Urban-Dwelling Black South Africans. PLoS ONE 7(9): e43336.
    1. Hussain A, Rahim MA, Azad Khan AK, Ali SM, Vaaler S (2005) Type 2 diabetes in rural and urban population: diverse prevalence and associated risk factors in Bangladesh. Diabet Med 22(7): 931–6.
    1. Aspray TJ, Mugusi F, Rashid S, Whiting D, Edwards R, et al. (2009) Rural and urban differences in diabetes prevalence in Tanzania: the role of obesity, physical inactivity and urban living. Trans R Soc Trop Med Hyg 94(6): 637–644.
    1. Corsi DJ, Subramanian SV (2012) Association between socioeconomic status and self-reported diabetes in India: a cross-sectional multilevel analysis. BMJ Open 2: e000895.
    1. Brown JB, Adams ME (1992) Patients as reliable reporters of medical care process. Recall of ambulatory encounter events. Med Care 30(5): 400–11.
    1. Raina P, Torrance-Rynard V, Wong M, Woodward C (2002) Agreement between self-reported and routinely collected health-care utilization data among seniors. Health Serv Res 37(3): 751–774.
    1. Roberts RO, Bergstralh EJ, Schmidt L, Jacobsen SJ (1996) Comparison of self-reported and medical record health care utilization measures. Journal of Clinical Epidemiology 49(9): 989–995.
    1. Wolinsky FD, Miller TR, An H, Geweke JF, Wallace RB, et al. (2007) Hospital episodes and physician visits: the concordance between self-reports and medicare claims. Med Care 45(4): 300–7.
    1. Zuvekas SH, Olin GL (2009) Validating Household Reports of Health Care Use in the Medical Expenditure Panel Survey. Health Serv Res 44(Sp1): 1679–1700.

Source: PubMed

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