Preview

PHARMACOECONOMICS. Modern pharmacoeconomics and pharmacoepidemiology

Advanced search

FIRST RUSSIAN TYPE 2 DIABETES MELLITUS SIMULATION MODEL WITH DISCREET EVENTS MODELING. HEALTH-ECONOMIC ANALYSIS

Full Text:

Abstract

Goal: to develop the model of of type 2 diabetes mellitus outcomes validated in Russian clinical conditions and to perform pharmacoeconomic evaluation of glucose lowering therapies. Materials and methods: Existing type 2 DM models were evaluated. Risk equations for type 2 DM complications were compiled. Demographic, biochemical etc. patient parameters were used as input parameters. Glucose lowering drug’s effectiveness were incorporated into the model as its ability to modify input parameters (HbA1c, lipids, etc.). Cost-effectiveness analysis was performed. Results: The developed model allows to assess the risk of type 2 DM complications in 5 years in patient with predefined risk factors. Among comparing strategies of type 2 DM therapies liraglutide (Victoza®) was considered as the cost-effective strategy with ICER/QALY – 470 120.40 RUR, which is 51% of the willingness-to-pay threshold in Russia. With the lowest complication treatment costs inside the total direct costs, liraglutide monotherapy demonstrated the most long-term sustainable glycemic control and HbA1c goal parameters.

About the Authors

A. S. Kolbin
St.-Petersburg State University
Russian Federation


O. K. Khmelnitskiy
St.-Petersburg State University
Russian Federation


A. A. Kurylev
St.-Petersburg State University
Russian Federation


Yu. E. Balykina
St.-Petersburg State University
Russian Federation


M. A. Proskurin
St.-Petersburg State University
Russian Federation


E. P. Kolpak
St.-Petersburg State University
Russian Federation


M. V. Bure
St.-Petersburg State University
Russian Federation


References

1. Алгоритмы специализированной медицинской помощи больным сахарным диабетом. Под ред. Дедова И.И., Шумаковой М.В. - М.: ФГУ Эндокринологический научный центр, 2007. - 105 с.

2. Авксентьевa М.А., Герасимов Б.В., Сура М.В. Клинико-экономический анализ (оценка, выбор медицинских технологий и управления качеством медицинской помощи). Под ред. П.А. Воробьева. М. 2004; 404 с.

3. Белоусов Ю.Б. Планирование и проведение клинических исследований лекарственных средств. М. 2000; 579 с.

4. Белоусов Ю.Б., Скворцов К.Ю., Белоусов Д.Ю. и др. Фармакоэкономическая оценка применения росиглитазона у больных сахарным диабетом типа 2 с повышенной массой тела или ожирением. Качественная клиническая практика. 2010; 2: 2-20.

5. Галстян Г.Р., Шестакова М.В. Современные возможности управления сахарным диабетом типа 2. Consilium medicum. 2012; 14 (12): 7 c. Репринт.

6. Дедов И.И., Шестакова М.В., Аметов А.С. и др. Консенсус совета экспертов Российской ассоциации эндокринологов по инициации и интенсификации сахароснижающей терапии у больных сахарным диабетом 2 типа. Сахарный диабет. 2011; 4: 6-17.

7. Колбин А.С. Моделирование медицинских и экономических исходов сахарного диабета. Анализ применяемых в мире математических моделей / А.С. Колбин, А.А. Курылев, М.А. Проскурин, Ю.Е. Балыкина. Клиническая фармакология и терапия. 2012; 21 (5): 91-96.

8. Комитет по здравоохранению Администрации г. Санкт-Петербурга. Закон Санкт-Петербурга № 766-9 от 09.01.2011. Приложение № 6 (1,2) март-май к Генеральному тарифному соглашению ОМС на 2011 г.

9. Об утверждении отраслевого стандарта «Клинико-экономиеские исследования. Общие положения»: приказ №163 Министерства Здравоохранения Российской Федерации от 27.05.2011.

10. Справочная система о наличии лекарств в аптеках г. Москвы Медлюкс. [Электронный ресурс]. URL: www.medlux.ru.

11. Шестакова М.В. Международный форум «Европа и Россия: вектор развития. Гармонизация». 2012.

12. Ягудина Р.И., Куликов А.Ю., Нгуен Т. Определение «порога готовности платить» в России, в Европейских странах и в странах СНГ. Современная фармакоэкономика и фармакоэпидемиология. 2011; 4 (1): 7-13.

13. Ягудина Р.И., Куликов А.Ю., Аринина Е.Е. и др. Фармакоэкономическое моделирование отдаленных результатов лечения сахарного диабета 2-го типа у пациентов, получавших современные аналоги инсулина, по сравнению с терапией диетой или пероральными сахароснижающими препаратами в России. Фармакоэкономика. Современная фармакоэкономика и фармакоэпидемиология. 2010; 3 (3): 11-20.

14. American Diabetes Association. Standards of medical care in diabetes-2012. Diabetes Care. 2012; 35 (1): 11-63. Review.

15. Bagust A., Hopkinson P.K., Maier W. et al. An economic model of the long-term health care burden of Type II diabetes. Diabetologia. 2001; 44 (12): 2140-55.

16. Bagust A., Beale S. Modelling EuroQol health-related utility values for diabetic complications from CORE-2 data. Health economics. 2005; 14 (3): 217-30.

17. Brown J.B., Russell A., Chan W. et al. The global diabetes model: user friendly version 3.0. Diabetes research and clinical practice. 2000; 50 (3): 15-46.

18. Black C., Donnelly P., McIntyre L. et al. Meglitinide analogues for type 2 diabetes mellitus. Cochrane Database Syst. Rev. 2007 (2): CD004654.

19. Buse J.B., Rosenstock J., Sesti G. et al. Liraglutide once a day versus exenatide twice a day for type 2 diabetes: a 26-week randomised, parallel-group, multinational, open-label trial (LEAD-6). Lancet. 2009; 374 (9683): 39-47.

20. Bosi E., Camisasca R.P., Collober C. et al. Effects of vildagliptin on glucose control over 24 weeks in patients with type 2 diabetes inadequately controlled with metformin. Diabetes care. 2007; 30 (4): 890-5.

21. Clarke P.M., Gray A.M., Briggs A. et al. A model to estimate the lifetime health outcomes of patients with type 2 diabetes: the United Kingdom Prospective Diabetes Study (UKPDS) Outcomes Model (UKPDS no. 68). Diabetologia. 2004; 47 (10): 1747-59.

22. Eastman R.C., Javitt J.C., Herman W.H. et al. Model of complications of NIDDM. I. Model construction and assumptions. Diabetes care. 1997; 20 (5): 725-34.

23. Eastman R.C., Javitt J.C., Herman W.H. et al. Model of complications of NIDDM. II. Analysis of the health benefits and costeffectiveness of treating NIDDM with the goal of normoglycemia. Diabetes care. 1997; 20 (5): 735-44.

24. Eddy D.M., Schlessinger L. Archimedes: a trial-validated model of diabetes. Diabetes care. 2003; 26 (11): 3093-101.

25. Eddy D.M., Schlessinger L. Validation of the archimedes diabetes model. Diabetes care. 2003; 26 (11): 3102-10.

26. Guidelines for computer modeling of diabetes and its complications. Diabetes care. 2004; 27 (9): 2262-5.

27. Garber A.J., Schweizer A., Baron M.A. et al. Vildagliptin in combination with pioglitazone improves glycaemic control in patients with type 2 diabetes failing thiazolidinedione monotherapy: a randomized, placebo-controlled study. Diabetes, obesity & metabolism. 2007; 9 (2): 166-74.

28. Gold M.R., Siegel J.E., Russell L.B. et al. Cost-effectiveness in Health and Medicine. New York. 1996. 425 с.

29. http://www.who.int

30. Intensive blood-glucose control with sulphonylureas or insulin compared with conventional treatment and risk of complications in patients with type 2 diabetes (UKPDS 33). UK Prospective Diabetes Study (UKPDS) Group. Lancet. 1998; 352 (9131): 837-53.

31. Klein R., Klein B.E., Moss S.E. et al. Prevalence of diabetes mellitus in southern Wisconsin. American journal of epidemiology. 1984; 119 (1): 54-61.

32. Mount Hood 4 Modeling Group. Computer modeling of diabetes and its complications: a report on the Fourth Mount Hood Challenge Meeting. Diabetes care. 2007; 30 (6): 1638-46.

33. Mueller E., Maxion-Bergemann S., Gultyaev D., et al. Development and validation of the Economic Assessment of Glycemic Control and Long-Term Effects of diabetes (EAGLE) model. Diabetes technology & therapeutics. 2006; 8 (2): 219-36.

34. Organisation WHО. Life Tables for WHO Member States (Russia). 2012.

35. Palmer A.J., Roze S., Valentine W.J. et al. The CORE Diabetes Model: Projecting long-term clinical outcomes, costs and costeffectiveness of interventions in diabetes mellitus (types 1 and 2) to support clinical and reimbursement decision-making. Current medical research and opinion. 2004; 20 (1): 5-26.

36. Pi-Sunyer F.X., Schweizer A., Mills D. et al. Efficacy and tolerability of vildagliptin monotherapy in drug-naive patients with type 2 diabetes. Diabetes research and clinical practice. 2007; 76 (1): 132-8.

37. Richter B., Bandeira-Echtler E., Bergerhoff K. et al. Pioglitazone for type 2 diabetes mellitus. Cochrane Database Syst Rev. 2006; 4: CD006060.

38. Richter B., Bandeira-Echtler E., Bergerhoff K. et al. Dipeptidyl peptidase-4 (DPP-4) inhibitors for type 2 diabetes mellitus. Cochrane Database Syst. Rev. 2008 (2): CD006739.

39. Saenz A, Fernandez-Esteban I, Mataix A, Ausejo M, Roque M, Moher D. Metformin monotherapy for type 2 diabetes mellitus. Cochrane Database Syst Rev. 2005 (3): CD002966.

40. Shyangdan D.S., Royle P., Clar C. et al. Glucagon-like peptide analogues for type 2 diabetes mellitus. Cochrane Database Syst. Rev. 2011 (10): CD0064

41. Stratton I.M., Adler A.I., Neil H.A. et al. Association of glycaemia with macrovascular and microvascular complications of type 2 diabetes (UKPDS 35): prospective observational study. BMJ. 2000; 321 (7258): 405-12.

42. The effect of intensive treatment of diabetes on the development and progression of long-term complications in insulin-dependent diabetes mellitus. The Diabetes Control and Complications Trial Research Group. The New England journal of medicine. 1993; 329 (14): 977-86.

43. The absence of a glycemic threshold for the development of long-term complications: the perspective of the Diabetes Control and Complications Trial. Diabetes. 1996; 45 (10): 1289-98.

44. The Diabetes Control and Complications Trial Research Group. The effect of intensive treatment of diabetes on the development and progression of long-term complications in insulin-dependent diabetes mellitus. The New England journal of medicine. 1993; 329 (14): 977-86.

45. UK Prospective Diabetes Study (UKPDS) Group. Intensive blood-glucose control with sulphonylureas or insulin compared with conventional treatment and risk of complications in patients with type 2 diabetes (UKPDS 33). Lancet. 1998; 352 (9131): 837-53.

46. Van de Laar F.A., Lucassen P.L., Akkermans R.P., et al. Alphaglucosidase inhibitors for type 2 diabetes mellitus. Cochrane Database Syst Rev. 2005 (2): CD003639.

47. Walley T., Haycox A., Boland A. Pharmacoeconomics. Elsevier Health Sciences. 2004; 216 с.

48. Yi Y., Philips Z., Bergman G., et al. Economic models in type 2 diabetes. Current medical research and opinion. 2010; 26 (9): 2105-18.

49. Zhang P., Zhang X., Brown J. et al. Global healthcare expenditure on diabetes for 2010 and 2030. Diabetes research and clinical practice. 2010; 87 (3): 293-301.


For citation:


Kolbin A.S., Khmelnitskiy O.K., Kurylev A.A., Balykina Y.E., Proskurin M.A., Kolpak E.P., Bure M.V. FIRST RUSSIAN TYPE 2 DIABETES MELLITUS SIMULATION MODEL WITH DISCREET EVENTS MODELING. HEALTH-ECONOMIC ANALYSIS. PHARMACOECONOMICS. Modern pharmacoeconomics and pharmacoepidemiology. 2013;6(2):33-41. (In Russ.)

Views: 364


ISSN 2070-4909 (Print)
ISSN 2070-4933 (Online)