Интернет-мониторирование гликемии – модное приложение или реальный шаг к компенсации диабета?
Интернет-мониторирование гликемии – модное приложение или реальный шаг к компенсации диабета?
Арбатская Н.Ю., Рыбкина И.Г. Интернет-мониторирование гликемии – модное приложение или реальный шаг к компенсации диабета? Consilium Medicum. 2015; 17 (4): 8–13.
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Arbatskaya N.Yu., Rybkina I.G. Online monitoring of glycemia – trendy application or a real step towards compensation of diabetes? Consilium Medicum. 2015; 17 (4): 8–13.
Интернет-мониторирование гликемии – модное приложение или реальный шаг к компенсации диабета?
Арбатская Н.Ю., Рыбкина И.Г. Интернет-мониторирование гликемии – модное приложение или реальный шаг к компенсации диабета? Consilium Medicum. 2015; 17 (4): 8–13.
________________________________________________
Arbatskaya N.Yu., Rybkina I.G. Online monitoring of glycemia – trendy application or a real step towards compensation of diabetes? Consilium Medicum. 2015; 17 (4): 8–13.
Новейшие технологии современной медицины позволяют улучшить не только лечение, но и контроль за больными в условиях медицинских учреждений. Создание Интернет-технологий приближает медицинскую помощь к пациенту в том числе и в домашних условиях. Дистанционное наблюдение за больными, требующими постоянного врачебного наблюдения, становится неотъемлемой частью взаимоотношений «врач–пациент». Компенсация углеводного обмена у людей с сахарным диабетом основана не только на врачебных знаниях, но и стремлении самого пациента к достижению результата. В данной статье рассматриваются новые решения контроля за уровнем гликемии с помощью портала Акку-Чек Коннект Онлайн.
New technologies of modern medicine make it possible to improve not only the treatment but also patients monitoring under the conditions of health care facilities. The invention of Internet-based technologies brings medical care to the patient, in their homes. Remotely observation of patients requiring constant medical supervision becomes an integral part of the "doctor-patient" relationship. The compensation of carbohydrate metabolism in people with diabetes is based not only on medical knowledge, but also on the patient desire to achieve results. This article discusses the new approaches to control glycemia using the Accu-Chek Connect Online portal.
Key words: diabetes mellitus, glucometers and Accu-Chek insulin pumps, remotely observations of patients.
1. Клинические рекомендации «Алгоритмы специализированной медицинской помощи больным сахарным диабетом». Под ред. И.И.Дедова, М.В.Шестаковой. 7-й выпуск. М., 2015. / Klinicheskie rekomendatsii «Algoritmy spetsializirovannoi meditsinskoi pomoshchi bol'nym sakharnym diabetom». Pod red. I.I.Dedova, M.V.Shestakovoi. 7-i vypusk. M., 2015. [in Russian]
2. Программа клинико-эпидемиологического мониторинга сахарного диабета на территории РФ. 2014. Источник: Aston clinical. / Programma kliniko-epidemiologicheskogo monitoringa sakharnogo diabeta na territorii RF. 2014. Istochnik: Aston clinical. [in Russian]
3. American Diabetes Association. Standards of medical care in diabetes-2014. Diabetes Care 2014; 37 (Suppl. 1): S14–80.
4. Benhamou PY, Melki V, Boizel R et al. One-year efficacy and safety of Webbased follow-up using cellular phone in type 1 diabetic patients under insulin pump therapy: the PumpNet study. Diabetes Metab 2007; 33 (3): 220–6.
5. Biermann E, Dietrich W, Rihl J et al. Are there time and cost savings by using telemanagement for patients on intensified insulin therapy? A randomised, controlled trial. Comput Methods Programs Biomed 2002; 69 (2): 137–46.
6. Bond GE, Burr RL, Wolf FM et al. The effects of a web-based intervention on psychosocial well-being among adults aged 60 and older with diabetes: a randomized trial. Diabetes Educ 2010; 36 (3): 446–56.
7. Bujnowska-Fedak MM, Puchala E, Steciwko A. The impact of telehome care on health status and quality of life among patients with diabetes in a primary care setting in Poland. Telemed J E Health 2011; 17 (3): 153–63.
8. Charpentier G, Benhamou PY, Dardari D et al. The Diabeo software enabling individualized insulin dose adjustments combined with telemedicine support improves HbA1c in poorly controlled type 1 diabetic patients: a 6-month, randomized, open-label, parallel-group, multicenter trial (TeleDiab 1 Study). Diabetes Care 2011; 34 (3): 533–9.
9. Cheng AY, Lau DC. The Canadian Diabetes Association 2013 clinical practice guidelines – raising the bar and setting higher standards! Can J Diabetes 2013; 37 (3): 137–8.
10. Cho JH, Chang SA, Kwon HS et al. Long-term effect of the Internet-based glucose monitoring system on HbA1c reduction and glucose stability: a 30-month follow-up study for diabetes management with a ubiquitous medical care system. Diabetes Care 2006; 29 (12): 2625–31.
11. Holman RR, Paul SK, Bethel MA et al. 10-year follow-up of intensive glucose control in type 2 diabetes. N Engl J Med 2008; 359 (15): 1577–89.
12. Kim C, Kim H, Nam J et al. Internet diabetic patient management using a short messaging service automatically produced by a knowledge matrix system. Diabetes Care 2007; 30 (11): 2857–8.
13. Kim SI, Kim HS. Effectiveness of mobile and internet intervention in patients with obese type 2 diabetes. Int J Med Inform 2008; 77 (6): 399–404.
14. Kirwan M, Vandelanotte C, Fenning A et al. Diabetes self-management smartphone application for adults with type 1 diabetes: randomized controlled trial. J Med Internet Res 2013; 15 (11): e235.
15. Kwon HS, Cho JH, Kim HS, et al. Establishment of blood glucose monitoring system using the internet. Diabetes Care 2004; 27 (2): 478–83.
16. Malanda UL, Welschen LM, Riphagen II et al. Self-monitoring of blood glucose in patients with type 2 diabetes mellitus who are not using insulin. Cochrane Database Syst Rev 2012; 1: CD005060.
17. McMahon GT, Gomes HE, Hickson Hohne S et al. Web-based care management in patients with poorly controlled diabetes. Diabetes Care 2005; 28 (7): 1624–9.
18. Miller KM, Bergenstal RM, Goland RS et al. Evidence of a strong association between frequency of self-monitoring of blood glucose and hemoglobin A1c levels in T1D exchange clinic registry participants. Diabetes Care 2013; 36 (7): 2009–14. Doi: 10.2337/dc12-1770. Epub 2013 Feb 1.
19. Montori VM, Helgemoe PK, Guyatt GH et al. Telecare for patients with type 1 diabetes and inadequate glycemic control: a randomized controlled trial and metaanalysis. Diabetes Care 2004; 27 (5): 1088–94.
20. Nathan DM, Cleary PA, Backlund JY et al. Intensive diabetes treatment and cardiovascular disease in patients with type 1 diabetes. N Engl J Med 2005; 353 (25): 2643–53.
21. Nathan DM, DCCT/EDIC Research Group. The diabetes control and complications trial/epidemiology of diabetes interventions and complications study at 30 years: overview. Diabetes Care 2014; 37 (1): 9–16.
22. Polonsky W, Fisher L, Schikman Ch et al. Structured Self-Monitoring of Blood Glucose Significantly Reduces A1C Levels in Poorly Controlled, Noninsulin-Treated Type 2 Diabetes. Diabetes Care 2011; 34 (2): 262–7.
23. Ralston JD, Hirsch IB, Hoath J et al. Web-based collaborative care for type 2 diabetes: a pilot randomized trial. Diabetes Care 2009; 32 (2): 234–9.
24. Rossi MC, Nicolucci A, Lucisano G et al. Impact of the “diabetes interactive diary” telemedicine system on metabolic control, risk of hypoglycemia, and quality of life: a randomized clinical trial in type 1 diabetes. Diabetes Technol Ther 2013; 15 (8): 670–9.
25. Shea S, Weinstock RS, Teresi JA et al. A randomized trial comparing telemedicine case management with usual care in older, ethnically diverse, medically underserved patients with diabetes mellitus: 5 year results of the IDEATel study. J Am Med Inform Assoc 2009; 16 (4): 446–56.
26. Stone RA, Rao RH, Sevick MA et al. Active care management supported by home telemonitoring in veterans with type 2 diabetes: the DiaTel randomized controlled trial. Diabetes Care 2010; 33 (3): 478–84.
27. Tildesley H, Po M, Ross S. Internet Blood Glucose Monitoring Systems Provide Lasting Glycemic Benefit in Type 1 and 2 Diabetes. Med Clin N Am 2015; 99: 17–33.
28. Tildesley HD, Conway ME, Ross SA et al. Review of the effect of internet therapeutic intervention in patients with type 1 and type 2 diabetes. Diabetes Care 2014; 37 (2): e31–2.
29. Tildesley HD, Mazanderani AB, Ross SA. Effect of Internet therapeutic intervention on A1C levels in patients with type 2 diabetes treated with insulin. Diabetes Care 2010; 33 (8): 1738–40.
30. Tjam EY, Sherifali D, Steinacher N et al. Physiological outcomes of an internet disease management program vs. in-person counselling: a randomized, controlled trial. Can J Diabetes 2006; 30 (4): 397–405.
31. Weissmann J, Müller A, Pralle K et al. Information management improves medical outcome and supports therapy decision in diabetes care: results from the multicenter observational VISION study. Paper presented at: 5th International Conference on Advanced Technologies & Treatments for Diabetes; February 8-11, 2012; Barcelona, Spain.
________________________________________________
1. Klinicheskie rekomendatsii «Algoritmy spetsializirovannoi meditsinskoi pomoshchi bol'nym sakharnym diabetom». Pod red. I.I.Dedova, M.V.Shestakovoi. 7-i vypusk. M., 2015. [in Russian]
2. Programma kliniko-epidemiologicheskogo monitoringa sakharnogo diabeta na territorii RF. 2014. Istochnik: Aston clinical. [in Russian]
3. American Diabetes Association. Standards of medical care in diabetes-2014. Diabetes Care 2014; 37 (Suppl. 1): S14–80.
4. Benhamou PY, Melki V, Boizel R et al. One-year efficacy and safety of Webbased follow-up using cellular phone in type 1 diabetic patients under insulin pump therapy: the PumpNet study. Diabetes Metab 2007; 33 (3): 220–6.
5. Biermann E, Dietrich W, Rihl J et al. Are there time and cost savings by using telemanagement for patients on intensified insulin therapy? A randomised, controlled trial. Comput Methods Programs Biomed 2002; 69 (2): 137–46.
6. Bond GE, Burr RL, Wolf FM et al. The effects of a web-based intervention on psychosocial well-being among adults aged 60 and older with diabetes: a randomized trial. Diabetes Educ 2010; 36 (3): 446–56.
7. Bujnowska-Fedak MM, Puchala E, Steciwko A. The impact of telehome care on health status and quality of life among patients with diabetes in a primary care setting in Poland. Telemed J E Health 2011; 17 (3): 153–63.
8. Charpentier G, Benhamou PY, Dardari D et al. The Diabeo software enabling individualized insulin dose adjustments combined with telemedicine support improves HbA1c in poorly controlled type 1 diabetic patients: a 6-month, randomized, open-label, parallel-group, multicenter trial (TeleDiab 1 Study). Diabetes Care 2011; 34 (3): 533–9.
9. Cheng AY, Lau DC. The Canadian Diabetes Association 2013 clinical practice guidelines – raising the bar and setting higher standards! Can J Diabetes 2013; 37 (3): 137–8.
10. Cho JH, Chang SA, Kwon HS et al. Long-term effect of the Internet-based glucose monitoring system on HbA1c reduction and glucose stability: a 30-month follow-up study for diabetes management with a ubiquitous medical care system. Diabetes Care 2006; 29 (12): 2625–31.
11. Holman RR, Paul SK, Bethel MA et al. 10-year follow-up of intensive glucose control in type 2 diabetes. N Engl J Med 2008; 359 (15): 1577–89.
12. Kim C, Kim H, Nam J et al. Internet diabetic patient management using a short messaging service automatically produced by a knowledge matrix system. Diabetes Care 2007; 30 (11): 2857–8.
13. Kim SI, Kim HS. Effectiveness of mobile and internet intervention in patients with obese type 2 diabetes. Int J Med Inform 2008; 77 (6): 399–404.
14. Kirwan M, Vandelanotte C, Fenning A et al. Diabetes self-management smartphone application for adults with type 1 diabetes: randomized controlled trial. J Med Internet Res 2013; 15 (11): e235.
15. Kwon HS, Cho JH, Kim HS, et al. Establishment of blood glucose monitoring system using the internet. Diabetes Care 2004; 27 (2): 478–83.
16. Malanda UL, Welschen LM, Riphagen II et al. Self-monitoring of blood glucose in patients with type 2 diabetes mellitus who are not using insulin. Cochrane Database Syst Rev 2012; 1: CD005060.
17. McMahon GT, Gomes HE, Hickson Hohne S et al. Web-based care management in patients with poorly controlled diabetes. Diabetes Care 2005; 28 (7): 1624–9.
18. Miller KM, Bergenstal RM, Goland RS et al. Evidence of a strong association between frequency of self-monitoring of blood glucose and hemoglobin A1c levels in T1D exchange clinic registry participants. Diabetes Care 2013; 36 (7): 2009–14. Doi: 10.2337/dc12-1770. Epub 2013 Feb 1.
19. Montori VM, Helgemoe PK, Guyatt GH et al. Telecare for patients with type 1 diabetes and inadequate glycemic control: a randomized controlled trial and metaanalysis. Diabetes Care 2004; 27 (5): 1088–94.
20. Nathan DM, Cleary PA, Backlund JY et al. Intensive diabetes treatment and cardiovascular disease in patients with type 1 diabetes. N Engl J Med 2005; 353 (25): 2643–53.
21. Nathan DM, DCCT/EDIC Research Group. The diabetes control and complications trial/epidemiology of diabetes interventions and complications study at 30 years: overview. Diabetes Care 2014; 37 (1): 9–16.
22. Polonsky W, Fisher L, Schikman Ch et al. Structured Self-Monitoring of Blood Glucose Significantly Reduces A1C Levels in Poorly Controlled, Noninsulin-Treated Type 2 Diabetes. Diabetes Care 2011; 34 (2): 262–7.
23. Ralston JD, Hirsch IB, Hoath J et al. Web-based collaborative care for type 2 diabetes: a pilot randomized trial. Diabetes Care 2009; 32 (2): 234–9.
24. Rossi MC, Nicolucci A, Lucisano G et al. Impact of the “diabetes interactive diary” telemedicine system on metabolic control, risk of hypoglycemia, and quality of life: a randomized clinical trial in type 1 diabetes. Diabetes Technol Ther 2013; 15 (8): 670–9.
25. Shea S, Weinstock RS, Teresi JA et al. A randomized trial comparing telemedicine case management with usual care in older, ethnically diverse, medically underserved patients with diabetes mellitus: 5 year results of the IDEATel study. J Am Med Inform Assoc 2009; 16 (4): 446–56.
26. Stone RA, Rao RH, Sevick MA et al. Active care management supported by home telemonitoring in veterans with type 2 diabetes: the DiaTel randomized controlled trial. Diabetes Care 2010; 33 (3): 478–84.
27. Tildesley H, Po M, Ross S. Internet Blood Glucose Monitoring Systems Provide Lasting Glycemic Benefit in Type 1 and 2 Diabetes. Med Clin N Am 2015; 99: 17–33.
28. Tildesley HD, Conway ME, Ross SA et al. Review of the effect of internet therapeutic intervention in patients with type 1 and type 2 diabetes. Diabetes Care 2014; 37 (2): e31–2.
29. Tildesley HD, Mazanderani AB, Ross SA. Effect of Internet therapeutic intervention on A1C levels in patients with type 2 diabetes treated with insulin. Diabetes Care 2010; 33 (8): 1738–40.
30. Tjam EY, Sherifali D, Steinacher N et al. Physiological outcomes of an internet disease management program vs. in-person counselling: a randomized, controlled trial. Can J Diabetes 2006; 30 (4): 397–405.
31. Weissmann J, Müller A, Pralle K et al. Information management improves medical outcome and supports therapy decision in diabetes care: results from the multicenter observational VISION study. Paper presented at: 5th International Conference on Advanced Technologies & Treatments for Diabetes; February 8-11, 2012; Barcelona, Spain.
Авторы
Н.Ю.Арбатская*1, И.Г.Рыбкина2
1 Перинатальный медицинский центр. 117209, Россия, Москва, Севастопольский пр-т., д. 24, корп. 1;
2 ГБУЗ Морозовская детская городская клиническая больница Департамента здравоохранения г. Москвы. 119049, Россия, Москва, 4-й Добрынинский пер., д. 1/9
*Narbatskaya@yandex.ru
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N.Yu.Arbatskaya*1, I.G.Rybkina2
1 Perinatal Medical Center. 117209, Russian Federation, Moscow, Sevastopol'skii pr-t., d. 24, korp. 1;
2 Morozovskaya Children City Clinical Hospital of the Department of Health of Moscow. 119049, Russian Federation, Moscow, 4-i Dobryninskii per., d. 1/9
*Narbatskaya@yandex.ru