Glucose meters with built-in automated bolus calculator: Gadget or real value for insulin-treated diabetic patients?

Diabetes Therapy

Volumn 4, Issue 1, 2013, Pages 1-11

  Colin, Ides M ^a   Paris, Isabelle ^a  

^a Clinique Saint Joseph at Mons   (Belgium)

Author keywords

Blood glucose meters; Bolus calculator; Diabetes; Hypoglycemia; Quality of life; Selfmonitoring

Indexed keywords

HEMOGLOBIN A1C; SHORT ACTING INSULIN;

AUTOMATED BOLUS CALCULATOR; BLOOD GLUCOSE METER; CALCULATOR; DOSE CALCULATION; FOOD INTAKE; GLUCOSE BLOOD LEVEL; GLUCOSE TOLERANCE TEST; HEALTH CARE PERSONNEL; HUMAN; INSULIN DEPENDENT DIABETES MELLITUS; MEDICAL DECISION MAKING; MEDICAL INFORMATION SYSTEM; MEDICATION COMPLIANCE; METABOLIC REGULATION; PATIENT SATISFACTION; PHYSICAL ACTIVITY; PRIORITY JOURNAL; QUALITY OF LIFE; REVIEW;

EID: 84881193450     PISSN: 18696953     EISSN: 18696961     Source Type: Journal    
DOI: 10.1007/s13300-012-0017-4     Document Type: Review

References (49)

1. 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;352:837-53 (Erratum in: Lancet. 1999; 354:602).
2. Diabetes Control and Complications Trial (DCCT) Research Group. 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. 1993;329:977-86
3. Diabetes Control and Complications Trial (DCCT) Research Group. The relationship of glycemic exposure (HbA1c) to the risk of development and progression of retinopathy in the diabetes control and complications trial. Diabetes. 1995;44:968-83
4. Nathan DM, Cleary PA, Backlund JY, et al. Diabetes Control and Complications Trial/Epidemiology of Diabetes Interventions and Complications (DCCT/ EDIC) Study Research Group: intensive diabetes treatment and cardiovascular disease in patients with type 1 diabetes. N Engl J Med. 2005;353: 2643-53
5. Gaede P, Lund-Andersen H, Parving HH, Pedersen O. Effect of a multifactorial intervention on mortality in type 2 diabetes. N Engl J Med. 2008;358:580-91
6. Holman RR, Paul SK, Bethel MA, Matthews DR, Neil HA. 10-year follow-up of intensive glucose control in type 2 diabetes. N Engl J Med. 2008;359:1577-89
7. Saydah SH, Fradkin J, Cowie CC. Poor control of risk factors for vascular disease among adults with previously diagnosed diabetes. JAMA. 2004;291: 335-42
8. Strowig SM, Raskin P. Improved glycemic control in intensively treated type 1 diabetic patients using blood glucose meters with storage capability and computer-assisted analyses. Diabetes Care. 1998;21: 1694-8
9. Levine BS, Anderson BJ, Butler DA, Antisdel JE, Brackett J, Laffel LMB. Predictors of glycemic control and short-term adverse outcomes in youth with type 1 diabetes. J Pediatr. 2001;139:197-203
10. Karter AJ, Ackerson LM, Darbinian JA, et al. Selfmonitoring of blood glucose levels and glycemic control: the Northern California Kaiser Permanente Diabetes registry. Am J Med. 2001;111:1-9
11. Davidson P, Hebblewhite H, Bode B, Steed RD. Increased frequency of self blood glucose monitoring improves A1c in non-insulin-using persons with diabetes. Diabetes. 2004;53:A101
12. Haller MJ, Stalvey MS, Silverstein JH. Clinical and laboratory observations: predictors of control of diabetes: monitoring may be the key. J Pediatr. 2004;144:660-1
13. Klonoff DC. Benefits and limitations of selfmonitoring of blood glucose. J Diabetes Sci Technol. 2007;1:130-2
14. Goldstein DE, Little RR, Lorenz RA, Malone JI, Nathan DM, American Diabetes Association. Tests of glycemia in diabetes. Diabetes Care. 2004; 27(Suppl 1):S91-3
15. Blonde L. SMBG and glycemic control: examining the evidence. Medscape website. http://www.medscape. org/viewarticle/532933_2. Accessed 4 Oct 2012
16. American Diabetes Association. Standards for medical care in diabetes. Diabetes Care. 2011;35(Suppl 1):S11-63
17. Demidowich AP, Lu K, Tamler R, Bloomgarden Z. An evaluation of diabetes self-management applications for Android smartphones. J Telemed Telecare. 2012;18:235-8
18. Walsh J, Roberts R, Bailey T. Guidelines for optimal bolus calculator settings in adults. J Diabetes Sci Technol. 2011;5:129-35
19. Bloomgarden ZT. Inpatient diabetes control: approaches to treatment. Diabetes Care. 2004;27: 2272-7
20. Kawamura T. The importance of carbohydrate counting in the treatment of children with diabetes. Pediatr Diabetes. 2007;8(Suppl 6):57-62
21. Kerr D, Marden S. Numeracy and insulin pump therapy. Diabet Med. 2010;27:730-1
22. Zisser H, Wagner R, Pleus S, et al. Clinical performance of three bolus calculators in subjects with type 1 diabetes mellitus: a head-to-head-tohead comparison. Diabetes Technol Ther. 2010; 12:955-61
23. King AB. How much do I give? Reevaluation of insulin dosing estimation formulas using continuous glucose monitoring. Endocr Pract. 2010;16:428-32
24. Cavanaugh K, Huizinga MM, Wallston KA, et al. Association of numeracy and diabetes control. Ann Intern Med. 2008;148:737-46
25. Cavanaugh K, Wallston KA, Gebretsadik T, et al. Addressing literacy and numeracy to improve diabetes care: two randomized controlled trials. Diabetes Care. 2009;32:2149-55
26. Reyna VF, Nelson WL, Han PK, Dieckmann NF. How numeracy influences risk comprehension andmedical decision making. Psychol Bull. 2009;135:943-73
27. Cavanaugh KL. Health literacy in diabetes care: explanation, evidence and equipment. Diabetes Manag (Lond). 2011;1:191-9
28. Klonoff DC. Improved outcomes from diabetes monitoring: the benefits of better adherence, therapy adjustments, patient education, and telemedicine support. J Diabetes Sci Technol. 2012;6:486-90
29. Sussman A, Taylor EJ, Patel M, et al. Performance of a glucose meter with a built-in automated bolus calculator versus manual bolus calculation in insulin-using subjects. J Diabetes Sci Technol. 2012;6:339-44
30. Ahola AJ, Mäkimattila S, Saraheimo M, FinnDIANE Study Group, et al. Many patients with type 1 diabetes estimate their prandial insulin need inappropriately. J Diabetes. 2010;2:194-202
31. Glaser NS, Iden SB, Green-Burgeson D, et al. Benefits of an insulin dosage calculation device for adolescents with type 1 diabetes mellitus. J Pediatr Endocrinol Metab. 2004;17:1641-51
32. Shashaj B, Busetto E, Sulli N. Benefits of a bolus calculator in pre- and postprandial glycemic control and meal flexibility of paediatric patients using continuous subcutaneous insulin infusion (CSII). Diabet Med. 2008;25:1036-42
33. Gross TM, Kayne D, King A, Rother C, Juth S. A bolus calculator is an effective means of controlling postprandial glycemia in patients on insulin pump therapy. Diabetes Technol Ther. 2003;5:365-9
34. Maurizi AR, Lauria A, Maggi D, et al. A novel insulin unit calculator for the management of type 1 diabetes. Diabetes Technol Ther. 2011;13:425-8
35. Schmidt S, Meldgaard M, Serifovski N, et al. Use of an automated bolus calculator in MDI-treated type 1 diabetes: the BolusCal Study, a randomized controlled pilot study. Diabetes Care. 2012;35: 984-90
36. Garg SK, Bookout TR, McFann KK, et al. Improved glycemic control in intensively treated adult subjects with type 1 diabetes using insulin guidance software. Diabetes Technol Ther. 2008; 10:369-75
37. Lepore G, Dodesini AR, Nosari I, Scaranna C, Corsi A, Trevisan R. Bolus calculator improves long-term metabolic control and reduces glucose variability in pump-treated patients with Type 1 diabetes. Nutr Metab Cardiovasc Dis. 2012;22:e15-6
38. Klupa T, Benbenek-Klupa T, Malecki M, Szalecki M, Sieradzki J. Clinical usefulness of a bolus calculator in maintaining normo-glycaemia in active professional patients with type 1 diabetes treated with continuous subcutaneous insulin infusion. J Int Med Res. 2008;36:1112-6
39. Enander R, Gundevall C, Strömgren A, Chaplin J, Hanas R. Carbohydrate counting with a bolus calculator improves post-prandial blood glucose levels in children and adolescents with type 1 diabetes using insulin pumps. Pediatr Diabetes. 2012;13:545-51. doi:10.1111/j.1399-5448.201200883.x.
40. Błazik M, Pańkowska E. The effect of bolus and food calculator diabetics on glucose variability in children with type 1 diabetes treated with insulin pump: the results of RCT. Pediatr Diabetes. 2012; 13:534-9
41. Barnard K, Parkin C, Young A, Ashraf M. Use of an automated bolus calculator reduces fear of hypoglycemia and improves confidence in dosage accuracy in T1DM patients treated with multiple daily insulin injections. J Diabetes Sci Technol. 2011;6:144-9
42. Bergenstal RM, Bashan E, McShane M, Johnson M, Hodish I. Can a tool that automates insulin titration be a key to diabetes management? Diabetes Technol Ther. 2012;14:675-82
43. Farmer A, Wade A, Goyder E, et al. Impact of self monitoring of blood glucose in the management of patients with non-insulin treated diabetes: open parallel group randomised trial. BMJ. 2007;335:132
44. Simon J, Gray A, Clarke P, Wade A, Neil A, Diabetes Glycemic Education and Monitoring Trial Group. Cost effectiveness of self monitoring of blood glucose in patients with non-insulin treated type 2 diabetes: economic evaluation of data from the DiGEM trial. BMJ. 2008;336:1177-80
45. O'Kane MJ, Bunting B, Copeland M, ESMON study group. Efficacy of self monitoring of blood glucose in patients with newly diagnosed type 2 diabetes (ESMON study): randomised controlled trial. BMJ. 2008;336:1174-7
46. O'Kane MJ, Pickup J. Self-monitoring of blood glucose in diabetes: is it worth it? Ann Clin Biochem. 2009;46:273-82
47. Klonoff DC. New evidence demonstrates that selfmonitoring of blood glucose does not improve outcomes in type 2 diabetes-when this practice is not applied properly. J Diabetes Sci Technol. 2008;2:342-8
48. Klonoff DC, True MW. The missing element of telemedicine for diabetes: decision support software. J Diabetes Sci Technol. 2009;3:996-1001
49. Monnier L, Colette C. Contributions of fasting and postprandial glucose to hemoglobin A1c. Endocr Pract. 2006;12:42-6.