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The cost of type 2 diabetes in Brazil: evaluation of a diabetes care center in the city of São Paulo, Brazil
Diabetology & Metabolic Syndrome volume 6, Article number: 122 (2014)
The worldwide increase of diabetes, a long duration, slow progression disease, impacts health care costs. The aim of this study was to estimate, from the society’s perspective, the annual cost per patient with Type 2 Diabetes (T2DM) at a specialized, outpatient center in the city of São Paulo, capital of São Paulo state, Brazil.
Data from 209 patients were collected during the years 2009 and 2010 in a São Paulo diabetes care center which is part of the tertiary sector of SUS, Brazil’s National Health Care System. Data were collected by means of interviews and reviews of medical charts, and the quality of life was appraised using the SF36-v2 questionnaire. Direct medical costs were divided in five categories: 1) medication; 2) laboratory tests; 3) hospitalizations and procedures; 4) reactive strips for capillary blood glucose monitoring; and 5) medical consultations. Direct non-medical costs referred to transportation of patient and companion for treatment. Indirect costs included early retirements, sick leave and absenteeism in the workplace. Statistical analysis of the data was performed by the SPSS software, version 17.0.
Our sample comprised 122 women (58%) and 87 men (42%), with mean age of 63 years and average diabetes duration of 13 years. The mean annual cost was US$ 1,844 per patient, out of which US$ 1,012 corresponded to direct costs (55%) and US$ 831 to indirect costs (45%). From the direct medical costs, medications accounted for the greatest proportion (42%), followed by reactive strips (27%), hospitalizations and procedures (14%), laboratory tests and image examinations (7%), as well as medical consultations (4%). Non-medical costs (transportation) corresponded to 7% of the total direct costs. Besides, the results indicated that men have better quality of life than women.
This study demonstrated a high T2DM cost in Brazil, considering the governmental per capita expenses in health care, which accounted for US$ 466 in 2010 (World Health Statistics 2013 96-104 2013). Taking into account the high prevalence of the disease (IDF Diabetes Atlas. 5th edition. 29-48 2012), this survey recommends the enforcement of policies for the prevention of diabetes and its complications, and urges for better allocation of healthcare resources.
The prevalence of diabetes is increasing worldwide [1–3]. The International Diabetes Federation (IDF) estimates that 382 million people lived with diabetes in 2013 . This figure represents a significant percentage of chronic diseases around the globe [5, 6], and according to IDF projections this number will rise to 592 million people in the planet in 2035 . Most of these patients (more than 90%) have Type 2 diabetes (T2DM), a nosological entity that may be prevented [7, 8]. T2DM is characterized by long duration, slow progression and premature mortality from all causes, particularly coronary heart disease . Patients with diabetes use the health care system more frequently and for a longer period than those without this condition . Besides, diabetics have reduced productivity due to the disease or its complications, which impacts not only the National Health Care System, but also the patients’ quality of life [10, 11]. Almost two thirds of that population live in developing countries such as India, China and Brazil, where an increase in the number of diabetic patients in the next two decades [12–15] is foreseen by a number of studies. Among Latin America countries, Brazil has the highest number of people with T2DM. The prevalence of the disease in the adult population from the age of 30 to 69 was estimated in 7.6% by a survey conducted in the end of the 1980’s . More recently, local studies have indicated a 12.1% prevalence in the city of Ribeirão Preto  and 13.5% in the city of São Carlos, in the inland of São Paulo state , both percentages showing a clear tendency of increase.
Considering the high prevalence of T2DM in Brazil, the number of studies on the cost of this disease is insufficient for an adequate evaluation of the real healthcare needs of that population. Furthermore, this kind of survey constitutes an important tool for better managing the financial resources destined to SUS, which is decentralized and hierarchized – Brazil’s National Health Care System (SUS) is composed of basic health care units, laboratories and hospitals, and aims at providing comprehensive health care to all citizens.
The purpose of this work was to estimate the T2DM annual costs in a specialized diabetes center in the city of São Paulo, Brazil, from the society’s perspective.
The study was performed at a university’s outpatient healthcare center which is part of the tertiary level of SUS. For T2DM patients to integrate the study, inclusion criteria were to be over 18 years old and to have regular follow-ups at the outpatient healthcare center for at least one year. The study comprised 209 patients, who were consecutively selected on the basis of consultation schedules from June 2009 to March 2010. All of them were interviewed with the aid of three questionnaires – two of them were filled out by the patient and the other one, by the interviewer. Later, all data were verified by reviewing the patient’s chart.
The first questionnaire was applied to all patients and was divided into three parts. Part one covered demographic, socioeconomic, educational data and productivity in the last 12 months of patients and caregivers; part two referred to clinical data and to the use of healthcare resources along the previous 12 months, such as medical consultations, tests, procedures and hospitalizations, in addition to medications; finally, part three resembled part two, but its data derived from the patient’s chart. Parts two and three were compared, and in case of discrepancies, the data in the patient’s chart prevailed.
The second questionnaire, the Work Limitations Questionnaire (WQL), was applied to all employed patients in the survey , in order to assess loss of productivity. The third questionnaire, applied to all participants, was the SF-36v2 Health Survey , a generic instrument that has been used all over the world to evaluate quality of life. Already translated to Portuguese and validated in Brazil , where this study was conducted, the questionnaire shows several scales, with scores varying from 0 (minimum) to 100 (maximum).
The amount of strips for blood capillary glucose self-measurement (SBMG) was estimated based on the scheme of insulin application. The costs of procedures, hospitalizations, consultations, strips and tests/examinations were calculated based on SUS Unified Table of Procedures (SIGTAP) , a comprehensive list of prices practiced by the National Health Care System. As for the price of medications, this study considered the weighted average of the unit value paid by the government at public auctions, as recorded on the price healthcare data bank of the Ministry of Health . Medications considered in our study comprise four groups: antidiabetic, antidislipidemic, antihypertensive and others (diuretic, antiplatelet and drugs for cardiac insufficiency). It was consider the number of tablets taken and the insulin daily dose for the calculation of medication prices.
Indirect costs were calculated by adding the following: a) the results from the WQL questionnaire of the surveyed patients (annual loss rate multiplied by average salary); b) the reported loss of housewives due to diabetes and its complications (estimated as US$ 4.76 per hour multiplied by the additional time required to perform the same tasks); c) the loss due to early retirement, which was assessed considering the last full salary earned when the patient was employed, multiplied by twelve months; and d) loss related to caregivers (workdays lost multiplied by the average family salary). The exchange rate adopted in this study was US$ 1 = R$ 1.837, which was the average exchange rate reported by Brazil’s Central Bank from March 10th, 2009 to April 9th, 2010. The total cost was calculated by adding the direct costs (subdivided into medical and non-medical costs) and the indirect costs.
The statistical analysis was performed using t-Student or ANOVA test for all variables with normal distribution standards. The Wilcoxon or the Kruskal-Wallis test was adopted for the other ones, and the Spearman test was used, with a 5% significance level, in order to verify correlations among the variables.
Patients’ confidentiality was assured. This project was approved by the decision No. 0553/09, taken by the Research Ethics Committee of São Paulo Federal University – UNIFESP.
Results and discussion
More than half of the sample was composed of women (58%), and the average age of the population was 63 years old. As for schooling, most patients (41.1%) had attended but not finished primary school, while 25.4% had just partially attended or finished middle school, a percentage which reduced to 16.7% in the case of high school and to 12.4% when it came to university. Just 4.3% of the sample had no schooling at all. Regarding labor status, almost half of the population was retired (47%), having average monthly earnings of US$ 576.26 (US$ 19.21 per day). The mean duration of diabetes was 13 years, and 77% of the sample, showed one or more chronic diabetes complications: 34% had retinopathy; 46%, neuropathy; 40%, nephropathy; and 39%, macroangiopathy. Such complications were distributed as follows: 23% of the population did not have any complications from diabetes; 28.2% developed just one; 23% had two; 17.7% had three, and 8.1% had four. The glycated hemoglobin average (HbA1c) at the time of the study reached 8.1%. Since we obtained the exact same value considering the past 5 years and we lacked HbA1c data from some patients at the time of the study, we chose to use the 5-year-long average to increase the number of patients considered. The mean body mass index (BMI) was 29.7 kg/m2. Regarding cardiovascular risks, 87% of the sample had arterial hypertension (HAS) and 78% dyslipidemia (DLP). Just 8.6% were regular smokers. These characteristics seem to be related to the T2DM population attending the tertiary level of SUS; similar results were also yielded in another study that characterized the T2DM population of SUS . Demographic data are gathered on Table 1.
According to the guidelines by the Brazilian Diabetes Association (SBD)  and the American Diabetes Association (ADA) , a well-controlled diabetic patient must have a HbA1c <7% and, being under this condition, he/she should perform at least 2 HbA1c tests a year. In case of having HbA1c >7% or if medication is changed, it is recommended the same test be performed 4 times along the year. In our study, the average HbA1c was 8.1% (75.5% of the studied population had an average HbA1c >7%), which means that for most of the sample the disease was not well controlled. Furthermore, 18.7% of the population did not get the annual HbA1c test and 37.3% underwent just one test a year (Table 2). This situation may be attributed not only to the patients’ own conduct, but also to the overloaded health care system, which may be sometimes incapable of complying with the demand. Performing tests less frequently than recommended may generate a reduction in the expenses referred to that item, but the lack of control increases the risks of hospitalizations and complications, which have a higher impact on direct costs.
The quality of life assessment (SF-36v2) showed a lower score in the physical (PCS = 45.22) than in the mental domain (MCS = 47.51), being better for men (p-value = 0.0046 in the PCS domain and 0.0034 in the MCS). This had already been observed on a Lithuanian study  – as opposed to that survey, however, we found no statistically significant difference in the quality of life due to schooling or family income. Other studies have provided divergent results. The research by Edelman et al. , for instance, establishes that diabetes, at its initial stage, does not affect the quality of life. The study by Poljičanin et al.  emphasizes, nevertheless, the negative influence of diabetes on the quality of life, pinpointing that patients with diabetes and hypertension show a lower score in both domains of the SF-36 questionnaire, whereas in our study a statistically significant difference was observed only in the physical domain. On the other hand, the study by Venkataraman et al. demonstrates that the quality of life of diabetic patients is mainly affected by a number of complications and not by diabetes itself . In our work, the presence of neuropathy was related to a lower value in the physical domain (PCS), in accordance to the outcome of other studies [30, 31]. A review of the various tools to appraise the quality of life of patients with diabetes confirms that the SF-36 questionnaire is appropriate for this population. However, some researchers recommend the use of specific instruments since they have observed that the SF-36 alone was unable to quantify quality of life modifications despite clear clinical improvements . The results are shown on Table 3.
This study included 22 cases of hospitalizations from 21 patients, with average hospital stays of 9 days. Most hospitalizations (45%) related to macroangiopathy, while others resulted from diabetes or nephric problems, amputations and abscesses. Statistical comparisons between the groups of hospitalized and non-hospitalized patients revealed no significant difference regarding variables such as sex, age, the time it takes to diagnose diabetes, HAS, DLP, HbA1c, school attendance and social class, retinopathy, nephropathy and neuropathy. Macroangiopathy, however, was correlated to a 2.96 higher probability of hospitalization.
The costs of hospitalizations and procedures in this study (US$ 137 per patient/year) amounted to 14% of the direct costs, being slightly lower than those in the Mexican investigation (18%)  – the Colombian and the ESCUDI studies did not present this item separately. Previous researches on the cost of illnesses (COI) showed that hospitalizations due to diabetes and its complications are the main item of direct costs – reaching, for instance, 43% in the work Economic costs of diabetes in the U.S. in 2012 (study based on the prevalence of disease). A similar result was found by the CODE-2 European research [34, 35]. Performed with approximately 7,000 patients in eight European cities, it estimated the annual cost of T2DM at € 2,834 (US$ 3,202) per patient, of which 55% corresponded to hospitalizations and just 7% to antidiabetic medications. However, it is worth noticing that not only the research methodology, but also the health care system and the socioeconomic scenario of the European study are completely different from the Brazilian case, so the results of both works allow for no straightforward comparisons.
Regarding the utilization of resources in our study, the annual average of consultations per patient, according to each specialty, was 3 consultations with a diabetologist, 1 with a cardiologist, 0.3 with a nephrologist, 0.1 with a neurologist, 0.4 with an ophthalmologist and 0.2 with a nutritionist. Detailed results are available on Table 2.
The average annual cost of T2DM was US$ 1,844 per patient, out of which US$ 1,012 (55%) per patient corresponded to direct costs, subdivided into medical costs (US$ 940) and non-medical costs (US$ 72). Expenses with medications (US$ 422 per patient/year) had the highest impact on direct costs (42%). Those medications were divided in four categories: antidiabetics (US$ 113), hypocholesterolinemics (US$ 253), antihypertensives (US$ 25) and others (US$ 31). Among the drugs for glycemic control, NPH insulin was most widely used (87% of the patients), closely followed by metformin (73%). We observed that 42.6% of the patients bought their medication at regular drugstores, either because the health care centers were out of stock, or because drugstores offered more “modern” drugs. However, for the purposes of this study, the costs of medications were calculated as if all the patients had got them from health care centers. In spite of the differences in socioeconomic environment and research methodology, studies performed in Brazil , Colombia  and Iran  also point out medications as the main item in the direct costs of diabetes (Table 4). In the ESCUDI Brazilian study , which was the first to investigate the cost of Type 2 diabetes in SUS, medications represented 48% of the direct costs, a result that is similar not only to our findings (42%), but also to those of the Colombian (47%) and of the Iranian (46%) studies, although the percentage of the latter referred only to the patients who had no complications.
In our study, the annual cost of reactive strips for capillary blood glucose monitoring was US$ 269 per patient (27% of the direct costs), higher than hospitalizations and procedures (US$ 137 per patient; 14% of direct cost), when in fact the opposite should be expected. These findings can be explained, however, by the low amount of hospitalizations (22), considering the number of individuals who use reactive strips (123), usually more than once a day. The result also corroborates data of the Brazilian study on T1DM . It shows that health care technology has the greatest impact on the treatment expenses of T1DM, which has a similar treatment to T2DM at its most advanced stage.
The total annual cost of laboratory tests was US$ 71 per patient (7% of the total direct costs) and that of medical consultations was US$ 42 per patient (4%).
In this research, the total annual cost of T2DM was US$ 1,844 per patient, lower than the US$ 2,810 calculated in ESCUDI for patients using SUS’ tertiary sector. Such discrepancy might result from methodological differences, such as the fact that this study did not compute medications for obesity and psychiatric problems, which are responsible for an annual increase in direct costs of approximately US$ 293 per patient in ESCUDI.
The above divergences emphasize the difficulties in comparing the various studies on the cost of the disease and the impossibility to generalize the results, due to differences in aspects such as diabetes demography and epidemiology, clinical practices, distribution and availability of healthcare resources, among other factors . The lack of standardization also hinders comparisons with a large number of studies on the cost of diabetes performed in developed countries, considering that the estimates significantly vary depending upon the methodological approach, the variables taken into account and the health care system in each country .
Non-medical expenses (transportation) amounted to US$ 72 per patient per year (7% of the total direct cost), corresponding to an annual average of 11 rides to and from the health care center per patient. We observed that half of the sampled individuals (52%) live in the southern district of the city, where the treatment unit is located, 17% dwell in the eastern district, 5% in the western, 4% in the northern, 1% reside downtown and 11% did not give any address information. The rest of the patients (8%) live in other cities, hence they have higher transportation expenses for each visit. The productivity loss of the workers (n = 31) was 3%, corresponding to US$ 109,460.48 per year. The unemployed patients due to diabetes or its complications and those who reported early retirement and absenteeism in the workplace caused by diabetes and its complications (n = 30) had an annual loss of US$ 48,649.10, while the loss of housewives (n = 14) amounted to US$ 12,162.28 and that of the caregivers (n = 3) to US$ 3,474.94. By adding these numbers we obtained an annual indirect cost of US$ 173,746.80, which gives an average individual cost of US$ 831 per patient per year, representing 45% of the total annual cost. These data are shown on Table 5.
This research has some limitations, such as being carried out just at one diabetes care center. Although the facility is located at an important capital city (São Paulo), the results might not reflect the situation throughout the country; possible distortions in our results are nonetheless hard to assess, given the lack of information on key aspects such as regional distribution of patients, access to health care centers and severity of the disease. Since the selection of patients was not ideal, some bias may be noticed, including the predominance of retired people in the sample and the low number of patients having dialysis. The direct costs might also be underestimated since the government has been keeping the prices of the National Health Care System frozen for many years. Hence, the results from this research might not reflect the actual average individual annual cost of T2DM patients at outpatient health care centers all over the country.
In addition to that, the indirect costs might have been underestimated, for some damages caused by diabetes were not considered: there are intangible costs that cannot be measured, such as pain, suffering and an overall decrease in levels of quality of life. According to this study, patients with diabetic neuropathy and arterial hypertension have a statistically significant reduction of quality of life in the physical aspect, while hospitalized patients and women showed lower levels in both domains.
The few existing works on the cost of diabetes in Brazil provide a valuable overview of the matter. However, more studies are needed for better understanding the healthcare needs of this growing population and adequately distributing healthcare resources, which represented 9% of the Gross Domestic Product (GDP) in 2010, and the cost of T2DM found in this study, correspond to 15.7% of the Per capita GDP of 2012, according to the World Health Organization (WHO) . The percentage of the healthcare resources is comparable with that of developed countries such as Australia (9.0%), Finland (9.0), Ireland (9.2), Japan (9.2), Norway (9.3%), Sweden (9.6%) and the United Kingdom (9.6%). Nevertheless, in Brazil, most resources come from private institutions, which provide treatment to a significantly reduced number of patients when compared to the National Health Care System (SUS). In 2010, the government disbursed only 47% of the total amount allocated in the health care sector, while in the aforementioned countries that percentage was significantly higher: 68.5% in Australia, 74.5% in Finland, 69.2% in Ireland, 80.3% in Japan, 85.5% in Norway, 81.0% in Sweden and 83.2% in the United Kingdom.
The relationship between the GDP and the population of each country, i. e., the gross domestic product per capita, must also be taken into account for that analysis. While in Brazil the per capita annual government expenditure on health at average exchange rate was only US$ 466, it reached US$ 3,545 in Australia, US$ 2,947 in Finland, US$ 2,933 in Ireland, US$ 3,179 in Japan, US$ 6,875 in Norway, US$ 3,816 in Sweden and US$ 2,908 in the United Kingdom.
The growing incidence and prevalence of diabetes confirmed by epidemiologic studies all over the world (IDF)  increases the number of people using the health care system of each country. Most of those systems – including SUS in Brazil – are unable to cope with such increase in demand, hence it is essential to enforce policies for the prevention of diabetes and its complications and to better allocate healthcare resources.
American Diabetes Association
Body mass index
Gross domestic product
Systemic arterial hypertension
Instituto Brasileiro de Geografia e Estatística [The Brazilian Institute of Geography and Statistics]
International Diabetes Federation
Mental components of the SF36v2
Physical components of the SF36v2
Self-monitoring of blood glucose
Quality of life questionnaire
Brazil’s National Health Care System
Type 2 Diabetes Mellitus
Type 1 Diabetes Mellitus
Work Limitation Questionnaire.
IDF Diabetes Atlas: IDF Diabetes Atlas. 2012, Brussels, Belgium, 5
American Diabetes Association: Economic costs of diabetes in the U.S. in 2012. Diabetes Care. 2013, 36 (4): 1033-1046.
American Diabetes Association: Economic consequences of diabetes mellitus in the U.S. in 1997. Diabetes Care. 1998, 21 (2): 296-309.
International Diabetes Federation: IDF Diabetes Atlas. 2013, Brussels, Belgium: International Diabetes Federation, 30-[http://www.idf.org/diabetesatlas], 6
World Health Organization: Face to face with chronic disease. [http://www.who.int/features/2005/chronic_diseases/en/]
International Diabetes Federation: IDF Diabetes Atlas. 2011, Brussels, Belgium: International Diabetes Federation,http://www.idf.org/diabesatlas, 5,
Saaristo T, Moilanen L, Korpi-Hyövälti E, Vanhala M, Saltevo J, Niskanen L, Jokelainen J, Peltonen M, Oksa H, Tuomilehto J, Uusitupa M, Keinänen-Kiukaanniemi S: Lifestyle intervention for prevention of type 2 diabetes in primary health care: one-year follow-up of the Finnish National Diabetes Prevention Program (FIN-D2D). Diabetes Care. 2010, 33 (10): 2146-2151. 10.2337/dc10-0410.
Ratner RE: An update on the Diabetes Prevention Program. Endocr Pract. 2006, 12 (Suppl 1): 20-24.
Barreto SM, Passos VM, Almeida SK, Assis TD: The increase of diabetes mortality burden among Brazilian adults. Rev Panam Salud Publica. 2007, 22 (4): 239-245. 10.1590/S1020-49892007000900003.
Valdmanis V, Smith DW, Page MR: Productivity and economic burden associated with diabetes. Am J Public Health. 2001, 91 (1): 129-130.
Rubin RJ, Altman WM, Mendelson DN: Health care expenditures for people with diabetes mellitus, 1992. J Clin Endocrinol Metab. 1994, 78 (4): 809A-809F.
Yach D, Stuckler D, Brownell KD: Epidemiologic and economic consequences of the global epidemics of obesity and diabetes. Nat Med. 2006, 12 (1): 62-66. 10.1038/nm0106-62.
Wild S, Rolic G, Green A, Sicree R, King H: Global Prevalence of Diabetes: Estimates for the year 2000 and projections for 2030. Diabetes Care. 2004, 27 (5): 1047-1053. 10.2337/diacare.27.5.1047.
Yang W, Lu J, Weng J, Jia W, Ji L, Xiao J, Shan Z, Liu J, Tian H, Ji Q, Zhu D, Ge J, Lin L, Chen L, Guo X, Zhao Z, Li Q, Zhou Z, Shan G, He J: Prevalence of Diabetes among Men and Women in China. N Engl J Med. 2010, 362 (12): 1090-1101. 10.1056/NEJMoa0908292.
International Diabetes Federation: IDF Diabetes Atlas. 2013, Brussels, Belgium: International Diabetes Federation, [http://www.idf.org/diabetesatlas, 6
Malerbi DA, Franco LJ: Multicenter study of the prevalence of diabetes mellitus and impaired glucose tolerance in the urban Brazilian population aged 30–69 yr. Braz Cooperative Group Study Diab Prevalence Diab Care. 1992, 15 (11): 1509-1516.
Torquato MT, Montenegro Júnior RM, Viana LA, de Souza RA, Lanna CM, Lucas JC, Bidurin C, Foss MC: Prevalence of diabetes mellitus and impaired glucose tolerance in the urban population aged 30–69 years in Ribeirão Preto (São Paulo). Brazil Sao Paulo Med J. 2003, 121 (6): 224-230.
Bosi PL, Carvalho AM, Contrera D, Casale G, Pereira MA, Gronner MF, Diogo TM, Torquarto MTCG, Oishi J, Leal AMO: [Prevalence of diabetes and impaired glucose tolerance in the urban population of 30 to 79 years of the city of São Carlos, São Paulo]. Arq Bras Endocrinol Metabol. 2009, 53 (6): 726-732. 10.1590/S0004-27302009000600006.
de Soarez PC, Kowalski CC, Ferraz MB, Ciconelli RM: [Translation into Brazilian Portuguese and validation of the Work Limitations Questionnaire]. Rev Panam Salud Publica. 2007, 22 (1): 21-28.
Davidson MB: SF-36 and diabetes outcome measures. Diabetes Care. 2005, 28 (6): 1536-1537.
Ciconelli RM, Ferraz MB, Santos W, Meinão I, Quaresma MR: [Brazilian-Portuguese version of the SF-36. A reliable and valid quality of life outcome measure]. Rev Bras Reumatol. 1999, 39 (3): 143-150.
Ministério da Saúde, Brazil [Ministry of Health, Brazil]: DATASUS – Tabela Unificada de Procedimentos e Medicamentos do SUS – SIGTAP [DATASUS – SUS’ Unified table of procedures and medications – SIGTAP]. [http://sigtap.datasus.gov.br/tabela-unificada/app/sec/inicio.jsp]. Retrieved: April 9, 2010
Ministério da Saúde, Brazil [Ministry of Health, Brazil]: Banco de Preços em Saúde [Data Bank on Healthcare Prices]. http://aplicacao.saude.gov.br/bps/login.jsf]. Retrieved: Aug 5, 2013
Viana LV, Leitão CB, Kramer CK, Zucatti ATN, Jezini DL, Felício J, Valverde AB, Chacra AR, Azevedo MJ, Gross JL: Poor glycaemic control in Brazilian patients with type 2 diabetes attending the public healthcare system: a cross-sectional study. BMJ Open. 2013, 3 (9): e003336-
Sociedade Brasileira de Diabetes: Diretrizes da Sociedade Brasileira de Diabetes – SBD 2009 [Guidelines of the Brazilian Diabetes Association –SBD 2009]. Diretrizes da Sociedade Brasileira de Diabetes – SBD 2009 [Guidelines of the Brazilian Diabetes Association –SBD 2009]. Edited by: Gomes MB, Lerario AC. 2009, Itapevi, SP: A. Araújo Silva Farmacêutica, 3
American Diabetes Association: Standards of medical care in diabetes – 2013. Diabetes Care. 2013, 36 (Suppl 1): S11-S66.
Mikailiūkštienė A, Juozulynas A, Narkauskaitė L, Žagminas K, Sąlyga J, Stukas R: Quality of life in relation to social and disease factors in patients with type 2 diabetes in Lithuania. Med Sci Monit. 2013, 19: 165-174.
Edelman D, Olsen MK, Dudley TK, Harris AC, Oddone EZ: Impact of diabetes screening on quality of life. Diabetes Care. 2002, 25 (6): 1022-1026. 10.2337/diacare.25.6.1022.
Poljičanin T, Ajduković D, Šekerija D, Pibernik-Okanović M, Metelko Ž, Mavrinac GV: Diabetes mellitus and hypertension have comparable adverse effects on health-related quality of life. BMC Public Health. 2010, 10: 12-10.1186/1471-2458-10-12.
Venkataraman K, Wee HL, Leow MK, Tai ES, Lee J, Lim SC, Tavintharan S, Wong TY, Ma S, Heng D, Thumboo J: Associations between complications and Health Related Quality of Life in individuals with diabetes. Clin Endocrinol (Oxf). 2013, 78 (6): 865-873. 10.1111/j.1365-2265.2012.04480.x.
Trentini M, da Silva DG, Martins CR, Antônio MC, Tomaz CE, Duarte R: [The quality of life of individuals with chronic cardiovascular diseases and diabetes mellitus]. Rev Gaúcha Enferm. 1990, 11 (2): 20-27.
Aguiar CC, Vieira AP, Carvalho AF, Montenegro-Junior RM: [Assessment instruments for a Health-Related Quality of Life in diabetes mellitus]. Arq Bras Endocrinol Metabol. 2008, 52 (6): 931-939. 10.1590/S0004-27302008000600004.
Rde Rodriguez Bolaños L, Reynales Shigematsu LM, Jiménez Ruíz JA, Juárez Márquezy SA, Hernández Avila M: [Direct costs of medical care for patients with type 2 diabetes mellitus in Mexico micro-costing analysis]. Rev Panam Salud Publica. 2010, 28 (6): 412-420. 10.1590/S1020-49892010001200002.
Massi-Benedetti M: The cost of diabetes Type II in Europe: the CODE-2 Study. Diabetologia. 2002, 45 (7): S1-S4. 10.1007/s00125-002-0860-3.
Jönsson B, CODE-2 Advisory Board: Revealing the cost of Type II diabetes in Europe. Diabetologia. 2002, 45 (7): S5-S12. 10.1007/s00125-002-0858-x.
Bahia LR, Araujo DV, Schaan BD, Dib SA, Negrato CA, Leão MPS, Ramos AJS, Forti AC, Gomes MB, Foss MC, Monteiro RA, Sartorelli D, Franco LJ: The costs of type 2 diabetes mellitus outpatient care in the Brazilian public health system. Value Health. 2011, 14 (5 Suppl 1): S137-S140.
Gonzalez JC, Walker JH, Einarson TR: Cost-of-illness study of type 2 diabetes mellitus in Colombia. Rev Panam Salud Publica. 2009, 26 (1): 55-63.
Javanbakht M, Baradaran HR, Mashayekhi A, Haghdoost AA, Khamseh ME, Kharazmi E, Sadeghi A: Cost-of-illness analysis of type 2 diabetes mellitus in Iran. Plos One. 2011, 6 (10): e26864-10.1371/journal.pone.0026864.
Cobas RA, Ferraz MB, Matheus ASM, Tannus LRM, Negrato CA, de Araujo LA, Dib SA, Gomes MB, Brazilian Type 1 Diabetes Study Group: The cost of type 1 diabetes: a nationwide multicentre study in Brazil. Bull World Health Organ. 2013, 91 (6): 434-440. 10.2471/BLT.12.110387.
Ferraz MB: The use of research results: at which stage are we in Brazil?. Sao Paulo Med J. 1995, 113 (1): 678-680. 10.1590/S1516-31801995000100002.
World Health Organization: World Health Statistics 2013. 2013, Geneva, 172-[http://www.who.int/gho/publications/world_health_statistics/en]
We thank João Ítalo Dias França for the support in technical statistics.
The authors declare that they have no competing interests.
BNB conceived the study, participated in its design, collecting the data, making the statistical analysis and drafting the paper. FMB participated in the study design and in the text drafting; CAR conceived and coordinated the study. All authors read and approved the final manuscript.
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Borges, N.B., Ferraz, M.B. & Chacra, A.R. The cost of type 2 diabetes in Brazil: evaluation of a diabetes care center in the city of São Paulo, Brazil. Diabetol Metab Syndr 6, 122 (2014). https://doi.org/10.1186/1758-5996-6-122
- Type 2 diabetes
- Disease cost