Impact and duration effect of telemonitoring on HbA1c, BMI and cost in insulin-treated diabetes mellitus patients with inadequate glycemic control: A randomized controlled study

Hormones

Volumn 14, Issue 4, 2015, Pages 632-643

  Fountoulakis, Stelios ^a   Papanastasiou, Labrini ^a   Gryparis, Alexandros ^b   Markou, Athina ^b   Piaditis, George ^a  

^a KAT HOSPITAL   (Greece)

^b UNIVERSITY OF ATHENS   (Greece)

Author keywords

BMI; Cost; Diabetes; HbA1c; Telemedicine; Telemonitoring

Indexed keywords

GLUCOSE; HEMOGLOBIN A1C; INSULIN; ANTIDIABETIC AGENT; BIOLOGICAL MARKER; GLUCOSE BLOOD LEVEL; GLYCOSYLATED HEMOGLOBIN; HEMOGLOBIN A1C PROTEIN, HUMAN;

ADULT; ARTICLE; BODY MASS; CONTROLLED STUDY; COST EFFECTIVENESS ANALYSIS; DIABETES MELLITUS; DOCTOR PATIENT RELATION; FEMALE; GLUCOSE BLOOD LEVEL; GLYCEMIC CONTROL; HUMAN; HYPERGLYCEMIA; HYPOGLYCEMIA; MAJOR CLINICAL STUDY; MALE; OUTPATIENT CARE; RANDOMIZED CONTROLLED TRIAL; TELEMONITORING; ADAPTIVE BEHAVIOR; AGED; AMBULATORY CARE; BLOOD; CHEMICALLY INDUCED; COST BENEFIT ANALYSIS; COST CONTROL; DIABETES MELLITUS, TYPE 1; DIABETES MELLITUS, TYPE 2; DRUG EFFECTS; E-MAIL; ECONOMICS; GREECE; HEALTH CARE COST; METABOLISM; MIDDLE AGED; PREDICTIVE VALUE; PROCEDURES; PROSPECTIVE STUDY; TELEMEDICINE; TELEMETRY; TEXT MESSAGING; TIME FACTOR; TREATMENT OUTCOME;

ADULT; AGED; AMBULATORY CARE; BIOMARKERS; BLOOD GLUCOSE; BODY MASS INDEX; COST SAVINGS; COST-BENEFIT ANALYSIS; DIABETES MELLITUS, TYPE 1; DIABETES MELLITUS, TYPE 2; ELECTRONIC MAIL; FEEDBACK, PSYCHOLOGICAL; FEMALE; GREECE; HEALTH CARE COSTS; HEMOGLOBIN A, GLYCOSYLATED; HUMANS; HYPOGLYCEMIA; HYPOGLYCEMIC AGENTS; INSULIN; MALE; MIDDLE AGED; OFFICE VISITS; PREDICTIVE VALUE OF TESTS; PROSPECTIVE STUDIES; TELEMEDICINE; TELEMETRY; TEXT MESSAGING; TIME FACTORS; TREATMENT OUTCOME;

EID: 84957714803     PISSN: 11093099     EISSN: None     Source Type: Journal    
DOI: 10.14310/horm.2002.1603     Document Type: Article

References (38)

1. Guariguata L, Whiting DR, Hambleton I, Beagley J, Linnenkamp U, Shaw JE, 2014 Global estimates of diabetes prevalence for 2013 and projections for 2035. Diabetes Res Clin Pract 103: 137-149.
2. Patterson C, Guariguata L, Dahlquist G, Soltész G, Ogle G, Silink M, 2014 Diabetes in the young - a global view and worldwide estimates of numbers of children with type 1 diabetes. Diabetes Res Clin Pract 103: 161-175.
3. Whiting DR, Guariguata L, Weil C, Shaw J, 2011 IDF diabetes atlas: global estimates of the prevalence of diabetes for 2011 and 2030. Diabetes Res Clin Pract 94: 311-321.
4. Beagley J, Guariguata L, Weil C, Motala AA, 2014 Global estimates of undiagnosed diabetes in adults. Diabetes Res Clin Pract 103: 150-160.
5. Stratton IM, Adler AI, Neil HAW, et al, 2000 Association of glycaemia with macrovascular and microvascular complications of type 2 diabetes (UKPDS 35): prospective observational study. BMJ 321: 405-412.
6. UKPDS Group, 1998 Effect of intensive blood glucose control with metformin on complications in overweight patients with type 2 diabetes (UKPDS 34). Lancet 352: 854-865.
7. Diabetes Control and Complications Trial Research Group, 1993 The effect of intensive treatment of diabetes on the development and progression of long-term complications in insulin-dependent diabetes mellitus. N Engl J Med 329: 977-987.
8. UK Prospective Diabetes Study (UKPDS) Group, 1998 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 352: 837-853.
9. 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: 1577-1589.
10. Diabetes Control and Complications Trial/ Epidemiology of Diabetes Interventions and Complications (DCCT/ EDIC) Study Research Group, 2005 Intensive diabetes treatment and cardiovascular disease in patients with type 1 diabetes. N Engl J Med 353: 2643-2653.
11. Stahl-Pehe A, Lange K, Bächle C, Castillo K, Holl RW, Rosenbauer J, 2014 Mental health problems among adolescents with early-onset and long-duration type 1 diabetes and their association with quality of life: a population-based survey. PLoS One 9: e92473.
12. Hood KK, Rausch JR, Dolan LM, 2011 Depressive symptoms predict change in glycemic control in adolescents with type 1 diabetes: rates, magnitude, and moderators of change. Pediatr Diabetes 12: 718-723.
13. Ralston JD, Hirsch IB, Hoath J, Mullen M, Cheadle A, Goldberg HI, 2009 Web-based collaborative care for type 2 diabetes: a pilot randomized trial. Diabetes Care 32: 234-239.
14. Yoon KH, Kim HS, 2008 A short message service by cellular phone in type 2 diabetic patients for 12 months. Diabetes Res Clin Pract 79: 256-261.
15. Kim SI, Kim HS, 2008 Effectiveness of mobile and internet intervention in patients with obese type 2 diabetes. Int J Med Inform 77: 399-404.
16. Harno K, Kauppinen-Makelin R, Syrjalainen J, 2006 Managing diabetes care using an integrated regional ehealth approach. J Telemed Telecare 12: Suppl 1: 13-15.
17. Shea S, Weinstock RS, Starren J, et al, 2006 A randomized trial comparing telemedicine case management with usual care in older, ethnically diverse, medically underserved patients with diabetes mellitus. J Am Med Inform Assoc 13: 40-51.
18. McMahon GT, Gomes HE, Hickson HS, Hu TM, Levine BA, Conlin PR, 2005 Web-based care management in patients with poorly controlled diabetes. Diabetes Care 28: 1624-1629.
19. Wakefield BJ, Holman JE, Ray A, et al, 2011 Effectiveness of home telehealth in comorbid diabetes and hypertension: a randomized, controlled trial. Telemed J E Health 17: 254-261.
20. Bujnowska-Fedak MM, Puchała E, Steciwko A, 2011 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 17: 153-163.
21. Rodríguez-Idígoras MI, Sepúlveda-Muñoz J, Sanchez- Garrido-Escudero R, et al, 2009 Telemedicine influence on the follow-up of type 2 diabetes patients. Diabetes Technol Ther 11: 431-437.
22. Izquierdo R, Lagua CT, Meyer S, et al, 2010 Telemedicine intervention effects on waist circumference and body mass index in the IDEATel project. Diabetes Technol Ther 12: 213-220.
23. Stone RA, Rao RH, Sevick MA, et al, 2010 Active care management supported by home telemonitoring in veterans with type 2 diabetes: the DiaTel randomized controlled trial. Diabetes Care 33: 478-484.
24. Bond GE, Burr R, Wolf FM, et al, 2007 The effects of a web-based intervention on the physical outcomes associated with diabetes among adults age 60 and older: a randomized trial. Diabetes Technol Ther 9: 52-59.
25. Piette JD, Weinberger M, McPhee SJ, et al, 2000 Do automated calls with nurse follow-up improve self-care and glycemic control among vulnerable patients with diabetes? Am J Med 108: 20-27.
26. Piette JD, Weinberger M, Kraemer FB, McPhee SJ, 2001 Impact of automated calls with nurse follow-up on diabetes treatment outcomes in a Department of Veterans Affairs Health Care System: a randomized controlled trial. Diabetes Care 24: 202-208.
27. Montori VM, Helgemoe PK, Guyatt GH, et al, 2004 Telecare for patients with type 1 diabetes and inadequate glycemic control: a randomized controlled trial and meta-analysis. Diabetes Care 27: 1088-1094.
28. McManus RJ, Mant J, Bray EP, et al, 2010 Telemonitoring and self-management in the control of hypertension (TASMINH2): a randomized controlled trial. Lancet 376: 163-172.
29. Biermann E, Dietrich W, Rihl J, Standl E, 2002 Are there time and cost savings by using telemanagement for patients on intensified insulin therapy? A randomized, controlled trial. Comput Methods Programs Biomed 69: 137-146.
30. Chase HP, Pearson JA, Wightman C, Roberts MD, Oderberg AD, Garg SK, 2003 Modem transmission of glucose valuesreduces the costs and need for clinic visits. Diabetes Care 26: 1475-1479.
31. Cho JH, Song KH, Chang SA, et al, 2006 Long-term effect of the Internet-based glucose monitoring system on HbA1c reduction and glucose stability. Diabetes Care 29: 2625e31.
32. Marcolino MS, Maia JX, Alkmim MBM, Boersma E, Ribeiro AL, 2013 Telemedicine Application in the Care of Diabetes Patients: Systematic Review and Meta- Analysis. Plos One 8: e79246.
33. Stone RA, Sevick MA, Rao RH, et al, 2012 The Diabetes Telemonitoring Study Extension: an exploratory randomized comparison of alternative interventions to maintain glycemic control after withdrawal of diabetes home telemonitoring. J Am Med Inform Assoc 19: 973-979.
34. Sarol JN Jr, Nicodemus NA Jr, Tan KM, Grava MB, 2005 Self-monitoring of blood glucose as part of a multicomponent therapy among non-insulin requiring type 2 diabetes patients: a meta-analysis (1966- 2004). Curr Med Res Opin 21: 173-184.
35. Norris SL, Lau J, Smith SJ, Schmid CH, Engelgau MM, 2002 Self-management education for adults with type 2 diabetes: a meta-analysis of the effect on glycemic control. Diabetes Care 25: 1159-1171.
36. Action to Control Cardiovascular Risk in Diabetes Study Group, 2008 Effects of intensive glucose lowering in type 2 diabetes. N Engl J Med 358: 2545-2559.
37. Duckworth W, Abraira C, Moritz T, et al, 2009 Glucose control and vascular complications in veterans with type 2 diabetes. N Engl J Med 360: 129-139.
38. 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: 1577-1589.