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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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Аннотация
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.
Ключевые слова: сахарный диабет, глюкометры и инсулиновые помпы Акку-Чек, дистанционное наблюдение пациентов.
Key words: diabetes mellitus, glucometers and Accu-Chek insulin pumps, remotely observations of patients.
Ключевые слова: сахарный диабет, глюкометры и инсулиновые помпы Акку-Чек, дистанционное наблюдение пациентов.
________________________________________________
Key words: diabetes mellitus, glucometers and Accu-Chek insulin pumps, remotely observations of patients.
Полный текст
Список литературы
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.
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.
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.
________________________________________________
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
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
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
________________________________________________
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
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