Skip to main content
Top
Published in: Current Diabetes Reports 6/2013

01-12-2013 | Psychosocial Aspects (KK Hood, Section Editor)

Technology to Optimize Pediatric Diabetes Management and Outcomes

Authors: Jessica T. Markowitz, Kara R. Harrington, Lori M. B. Laffel

Published in: Current Diabetes Reports | Issue 6/2013

Login to get access

Abstract

Technology for diabetes management is rapidly developing and changing. With each new development, there are numerous factors to consider, including medical benefits, impact on quality of life, ease of use, and barriers to use. It is also important to consider the interaction between developmental stage and technology. This review considers a number of newer diabetes-related technologies and explores issues related to their use in the pediatric diabetes population (including young adults), with a focus on psychosocial factors. Areas include trend technology in blood glucose monitoring, continuous glucose monitoring, sensor-augmented insulin pumps and low glucose suspend functions, internet applications including videoconferencing, mobile applications (apps), text messaging, and online gaming.
Literature
1.
go back to reference The 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.CrossRef The 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.CrossRef
2.
go back to reference Laffel L, Volkening L, Hood K, Lochrie A, Nansel T, Anderson B, et al. Optimizing glycemic control in youth with T1DM: importance of BG monitoring and supportive family communication [Abstract]. Diabetes. 2006;55 Suppl 1:A197. Laffel L, Volkening L, Hood K, Lochrie A, Nansel T, Anderson B, et al. Optimizing glycemic control in youth with T1DM: importance of BG monitoring and supportive family communication [Abstract]. Diabetes. 2006;55 Suppl 1:A197.
3.
go back to reference Dailey G. Assessing glycemic control with self-monitoring of blood glucose and hemoglobin A(1c) measurements. Mayo Clin Proc. 2007;82:229–35.PubMed Dailey G. Assessing glycemic control with self-monitoring of blood glucose and hemoglobin A(1c) measurements. Mayo Clin Proc. 2007;82:229–35.PubMed
4.
go back to reference Ziegler R, Heidtmann B, Hilgard D, Hofer S, Rosenbauer J, Holl R, et al. Frequency of SMBG correlates with HbA1c and acute complications in children and adolescents with type 1 diabetes. Pediatr Diabetes. 2011;12:11–7.PubMedCrossRef Ziegler R, Heidtmann B, Hilgard D, Hofer S, Rosenbauer J, Holl R, et al. Frequency of SMBG correlates with HbA1c and acute complications in children and adolescents with type 1 diabetes. Pediatr Diabetes. 2011;12:11–7.PubMedCrossRef
5.
go back to reference Wood JR, Laffel LMB. Technology and intensive management in youth with type 1 diabetes: state of the art. Curr Diab Rep. 2007;7:104–13.PubMedCrossRef Wood JR, Laffel LMB. Technology and intensive management in youth with type 1 diabetes: state of the art. Curr Diab Rep. 2007;7:104–13.PubMedCrossRef
6.
go back to reference Polonsky WH, Fisher L, Schikman CH, Hinnen DA, Parkin CG, Jelsovsky Z, et al. Structured self-monitoring of blood glucose significantly reduces A1C levels in poorly controlled, noninsulin-treated type 2 diabetes: results from the Structured Testing Program study. Diabetes Care. 2011;34:262–7. PMCID:PMC3024331.PubMedCrossRef Polonsky WH, Fisher L, Schikman CH, Hinnen DA, Parkin CG, Jelsovsky Z, et al. Structured self-monitoring of blood glucose significantly reduces A1C levels in poorly controlled, noninsulin-treated type 2 diabetes: results from the Structured Testing Program study. Diabetes Care. 2011;34:262–7. PMCID:PMC3024331.PubMedCrossRef
7.
go back to reference Pfutzner A, Mitri M, Musholt PB, Sachsenheimer D, Borchert M, Yap A, et al. Clinical assessment of the accuracy of blood glucose measurement devices. Curr Med Res Opin. 2012;28:525–31.PubMedCrossRef Pfutzner A, Mitri M, Musholt PB, Sachsenheimer D, Borchert M, Yap A, et al. Clinical assessment of the accuracy of blood glucose measurement devices. Curr Med Res Opin. 2012;28:525–31.PubMedCrossRef
8.
go back to reference Recupero A, Mahnke B, Pinsker JE. Emerging technology in diabetes care: the real-time diabetes monitoring system. Mil Med. 2013;178:218–21.PubMed Recupero A, Mahnke B, Pinsker JE. Emerging technology in diabetes care: the real-time diabetes monitoring system. Mil Med. 2013;178:218–21.PubMed
9.
go back to reference Juvenile Diabetes Research Foundation Continuous Glucose Monitoring Study Group. JDRF randomized clinical trial to assess the efficacy of real-time continuous glucose monitoring in the management of type 1 diabetes: research design and methods. Diabetes Technol Ther. 2008;10:310–21.CrossRef Juvenile Diabetes Research Foundation Continuous Glucose Monitoring Study Group. JDRF randomized clinical trial to assess the efficacy of real-time continuous glucose monitoring in the management of type 1 diabetes: research design and methods. Diabetes Technol Ther. 2008;10:310–21.CrossRef
10.
go back to reference Juvenile Diabetes Research Foundation Continuous Glucose Monitoring Study Group. The effect of continuous glucose monitoring in well-controlled type 1 diabetes. Diabetes Care. 2009;32:1378–83. PMCID:PMC2713649.CrossRef Juvenile Diabetes Research Foundation Continuous Glucose Monitoring Study Group. The effect of continuous glucose monitoring in well-controlled type 1 diabetes. Diabetes Care. 2009;32:1378–83. PMCID:PMC2713649.CrossRef
11.
go back to reference Juvenile Diabetes Research Foundation Continuous Glucose Monitoring Study Group. Factors predictive of use and of benefit from continuous glucose monitoring in type 1 diabetes. Diabetes Care. 2009;32:1947–53. PMCID:PMC2768196. Juvenile Diabetes Research Foundation Continuous Glucose Monitoring Study Group. Factors predictive of use and of benefit from continuous glucose monitoring in type 1 diabetes. Diabetes Care. 2009;32:1947–53. PMCID:PMC2768196.
12.
go back to reference Bergenstal RM, Tamborlane WV, Ahmann A, Buse JB, Dailey G, Davis SN, et al. Effectiveness of sensor-augmented insulin-pump therapy in type 1 diabetes. N Engl J Med. 2010;363:311–20.PubMedCrossRef Bergenstal RM, Tamborlane WV, Ahmann A, Buse JB, Dailey G, Davis SN, et al. Effectiveness of sensor-augmented insulin-pump therapy in type 1 diabetes. N Engl J Med. 2010;363:311–20.PubMedCrossRef
13.
go back to reference Raccah D, Sulmont V, Reznik Y, Guerci B, Renard E, Hanaire H, et al. Incremental value of continuous glucose monitoring when starting pump therapy in patients with poorly controlled type 1 diabetes: the RealTrend study. Diabetes Care. 2009;32:2245–50.PubMedCrossRef Raccah D, Sulmont V, Reznik Y, Guerci B, Renard E, Hanaire H, et al. Incremental value of continuous glucose monitoring when starting pump therapy in patients with poorly controlled type 1 diabetes: the RealTrend study. Diabetes Care. 2009;32:2245–50.PubMedCrossRef
14.
go back to reference Deiss D, Hartmann R, Schmidt J, Kordonouri O. Results of a randomised controlled cross-over trial on the effect of continuous subcutaneous glucose monitoring (CGMS) on glycaemic control in children and adolescents with type 1 diabetes. Exp Clin Endocrinol Diabetes. 2006;114:63–7.PubMedCrossRef Deiss D, Hartmann R, Schmidt J, Kordonouri O. Results of a randomised controlled cross-over trial on the effect of continuous subcutaneous glucose monitoring (CGMS) on glycaemic control in children and adolescents with type 1 diabetes. Exp Clin Endocrinol Diabetes. 2006;114:63–7.PubMedCrossRef
15.
go back to reference Mauras N, Beck R, Xing D, Ruedy K, Buckingham B, Tansey M, et al. A randomized clinical trial to assess the efficacy and safety of real-time continuous glucose monitoring in the management of type 1 diabetes in young children aged 4 to <10 years. Diabetes Care. 2012;35:204–10. PMCID:PMC3263860.PubMedCrossRef Mauras N, Beck R, Xing D, Ruedy K, Buckingham B, Tansey M, et al. A randomized clinical trial to assess the efficacy and safety of real-time continuous glucose monitoring in the management of type 1 diabetes in young children aged 4 to <10 years. Diabetes Care. 2012;35:204–10. PMCID:PMC3263860.PubMedCrossRef
16.
go back to reference Tsalikian E, Fox L, Weinzimer S, Buckingham B, White NH, Beck R, et al. Feasibility of prolonged continuous glucose monitoring in toddlers with type 1 diabetes. Pediatr Diabetes. 2012;13:301–7.PubMedCrossRef Tsalikian E, Fox L, Weinzimer S, Buckingham B, White NH, Beck R, et al. Feasibility of prolonged continuous glucose monitoring in toddlers with type 1 diabetes. Pediatr Diabetes. 2012;13:301–7.PubMedCrossRef
17.
go back to reference Juvenile Diabetes Research Foundation Continuous Glucose Monitoring Study Group. Validation of measures of satisfaction with and impact of continuous and conventional glucose monitoring. Diabetes Technol Ther. 2010;12:679–84.CrossRef Juvenile Diabetes Research Foundation Continuous Glucose Monitoring Study Group. Validation of measures of satisfaction with and impact of continuous and conventional glucose monitoring. Diabetes Technol Ther. 2010;12:679–84.CrossRef
18.
go back to reference Tansey M, Laffel L, Cheng J, Beck R, Coffey J, Huang E, et al. Satisfaction with continuous glucose monitoring in adults and youths with Type 1 diabetes. Diabet Med. 2011;28:1118–22.PubMedCrossRef Tansey M, Laffel L, Cheng J, Beck R, Coffey J, Huang E, et al. Satisfaction with continuous glucose monitoring in adults and youths with Type 1 diabetes. Diabet Med. 2011;28:1118–22.PubMedCrossRef
19.
go back to reference Markowitz JT, Pratt K, Aggarwal J, Volkening LK, Laffel LM. Psychosocial correlates of continuous glucose monitoring use in youth and adults with type 1 diabetes and parents of youth. Diabetes Technol Ther. 2012;14:523–6. PMCID:PMC3359621.PubMedCrossRef Markowitz JT, Pratt K, Aggarwal J, Volkening LK, Laffel LM. Psychosocial correlates of continuous glucose monitoring use in youth and adults with type 1 diabetes and parents of youth. Diabetes Technol Ther. 2012;14:523–6. PMCID:PMC3359621.PubMedCrossRef
20.
go back to reference Spielberger CD, Gorsuch RL, Lushene RE, Vagg PR, Jacobs GA. Test manual for the State-Trait Anxiety Inventory. Palo Alto, CA: Consulting Psychologists Press; 1983. Spielberger CD, Gorsuch RL, Lushene RE, Vagg PR, Jacobs GA. Test manual for the State-Trait Anxiety Inventory. Palo Alto, CA: Consulting Psychologists Press; 1983.
21.
go back to reference Elleri D, Allen JM, Biagioni M, Kumareswaran K, Leelarathna L, Caldwell K, et al. Evaluation of a portable ambulatory prototype for automated overnight closed-loop insulin delivery in young people with type 1 diabetes. Pediatr Diabetes. 2012;13:449–53.PubMedCrossRef Elleri D, Allen JM, Biagioni M, Kumareswaran K, Leelarathna L, Caldwell K, et al. Evaluation of a portable ambulatory prototype for automated overnight closed-loop insulin delivery in young people with type 1 diabetes. Pediatr Diabetes. 2012;13:449–53.PubMedCrossRef
22.
go back to reference Nimri R, Atlas E, Ajzensztejn M, Miller S, Oron T, Phillip M. Feasibility study of automated overnight closed-loop glucose control under MD-logic artificial pancreas in patients with type 1 diabetes: the DREAM Project. Diabetes Technol Ther. 2012;14:728–35.PubMedCrossRef Nimri R, Atlas E, Ajzensztejn M, Miller S, Oron T, Phillip M. Feasibility study of automated overnight closed-loop glucose control under MD-logic artificial pancreas in patients with type 1 diabetes: the DREAM Project. Diabetes Technol Ther. 2012;14:728–35.PubMedCrossRef
23.
go back to reference Breton M, Farret A, Bruttomesso D, Anderson S, Magni L, Patek S, et al. Fully integrated artificial pancreas in type 1 diabetes: modular closed-loop glucose control maintains near normoglycemia. Diabetes. 2012;61:2230–7. PMCID:PMC3425406.PubMedCrossRef Breton M, Farret A, Bruttomesso D, Anderson S, Magni L, Patek S, et al. Fully integrated artificial pancreas in type 1 diabetes: modular closed-loop glucose control maintains near normoglycemia. Diabetes. 2012;61:2230–7. PMCID:PMC3425406.PubMedCrossRef
24.
go back to reference Dauber A, Corcia L, Safer J, Agus MS, Einis S, Steil GM. Closed-loop insulin therapy improves glycemic control in children aged <7 years: a randomized controlled trial. Diabetes Care. 2013;36:222–7. PMCID:PMC3554296.PubMedCrossRef Dauber A, Corcia L, Safer J, Agus MS, Einis S, Steil GM. Closed-loop insulin therapy improves glycemic control in children aged <7 years: a randomized controlled trial. Diabetes Care. 2013;36:222–7. PMCID:PMC3554296.PubMedCrossRef
25.
go back to reference Hovorka R, Allen JM, Elleri D, Chassin LJ, Harris J, Xing D, et al. Manual closed-loop insulin delivery in children and adolescents with type 1 diabetes: a phase 2 randomized crossover trial. Lancet. 2010;375:743–51.PubMedCrossRef Hovorka R, Allen JM, Elleri D, Chassin LJ, Harris J, Xing D, et al. Manual closed-loop insulin delivery in children and adolescents with type 1 diabetes: a phase 2 randomized crossover trial. Lancet. 2010;375:743–51.PubMedCrossRef
26.
go back to reference •• Phillip M, Battelino T, Atlas E, Kordonouri O, Bratina N, Miller S, et al. Nocturnal glucose control with an artificial pancreas at a diabetes camp. N Engl J Med. 2013;368:824–33. This group brought the study of a closed-loop system out of the lab and into a free-living environment, highlighting some novel possibilities of a system such as this.PubMedCrossRef •• Phillip M, Battelino T, Atlas E, Kordonouri O, Bratina N, Miller S, et al. Nocturnal glucose control with an artificial pancreas at a diabetes camp. N Engl J Med. 2013;368:824–33. This group brought the study of a closed-loop system out of the lab and into a free-living environment, highlighting some novel possibilities of a system such as this.PubMedCrossRef
27.
go back to reference Elleri D, Acerini CL, Allen JM, Hayes J, Pesterfield C, Wilinska ME, et al. Parental attitudes towards overnight closed-loop glucose control in children with type 1 diabetes. Diabetes Technol Ther. 2010;12:35–9.PubMedCrossRef Elleri D, Acerini CL, Allen JM, Hayes J, Pesterfield C, Wilinska ME, et al. Parental attitudes towards overnight closed-loop glucose control in children with type 1 diabetes. Diabetes Technol Ther. 2010;12:35–9.PubMedCrossRef
28.
go back to reference van Bon AC, Brouwer TB, von Basum G, Hoekstra JB, DeVries JH. Future acceptance of an artificial pancreas in adults with type 1 diabetes. Diabetes Technol Ther. 2011;13:731–6.PubMedCrossRef van Bon AC, Brouwer TB, von Basum G, Hoekstra JB, DeVries JH. Future acceptance of an artificial pancreas in adults with type 1 diabetes. Diabetes Technol Ther. 2011;13:731–6.PubMedCrossRef
29.
go back to reference • Bergenstal RM, Ahmann AJ, Bailey T, Beck RW, Bissen J, Buckingham B, et al. Recommendations for standardizing glucose reporting and analysis to optimize clinical decision making in diabetes: the Ambulatory Glucose Profile. J Diabetes Sci Technol. 2013;7:562–78. The amulatory glucose profile makes diabetes data easier to understand and may help improve glycemic control in youth and adults with diabetes.PubMed • Bergenstal RM, Ahmann AJ, Bailey T, Beck RW, Bissen J, Buckingham B, et al. Recommendations for standardizing glucose reporting and analysis to optimize clinical decision making in diabetes: the Ambulatory Glucose Profile. J Diabetes Sci Technol. 2013;7:562–78. The amulatory glucose profile makes diabetes data easier to understand and may help improve glycemic control in youth and adults with diabetes.PubMed
30.
go back to reference Beck RW, Tamborlane WV, Bergenstal RM, Miller KM, Dubose SN, Hall CA. The T1D Exchange Clinic Registry. J Clin Endocrinol Metab. 2012;97(12):4383–89. Beck RW, Tamborlane WV, Bergenstal RM, Miller KM, Dubose SN, Hall CA. The T1D Exchange Clinic Registry. J Clin Endocrinol Metab. 2012;97(12):4383–89.
31.
go back to reference Beck J, Lewis T, Harrison D, Sternlof S, Comp C, Copeland K. Use of the Mastery of Stress Instrument in caregivers of children newly diagnosed with type 1 diabetes: identifying a need for further intervention. Diabetes Educ. 2012;38:280–8.PubMedCrossRef Beck J, Lewis T, Harrison D, Sternlof S, Comp C, Copeland K. Use of the Mastery of Stress Instrument in caregivers of children newly diagnosed with type 1 diabetes: identifying a need for further intervention. Diabetes Educ. 2012;38:280–8.PubMedCrossRef
32.
go back to reference Slover RH, Welsh JB, Criego A, Weinzimer SA, Willi SM, Wood MA, et al. Effectiveness of sensor-augmented pump therapy in children and adolescents with type 1 diabetes in the STAR 3 study. Pediatr Diabetes. 2012;13:6–11.PubMedCrossRef Slover RH, Welsh JB, Criego A, Weinzimer SA, Willi SM, Wood MA, et al. Effectiveness of sensor-augmented pump therapy in children and adolescents with type 1 diabetes in the STAR 3 study. Pediatr Diabetes. 2012;13:6–11.PubMedCrossRef
33.
go back to reference • Rubin RR, Peyrot M. Health-related quality of life and treatment satisfaction in the Sensor-Augmented Pump Therapy for A1C Reduction 3 (STAR 3) trial. Diabetes Technol Ther. 2012;14:143–51. This important study examined psychosocial issues related to the use of sensor-augmented insulin pump therapy.PubMedCrossRef • Rubin RR, Peyrot M. Health-related quality of life and treatment satisfaction in the Sensor-Augmented Pump Therapy for A1C Reduction 3 (STAR 3) trial. Diabetes Technol Ther. 2012;14:143–51. This important study examined psychosocial issues related to the use of sensor-augmented insulin pump therapy.PubMedCrossRef
34.
go back to reference Peyrot M, Rubin RR. Treatment satisfaction in the sensor-augmented pump therapy for A1C reduction 3 (STAR 3) trial. Diabet Med. 2013;30:464–7.PubMedCrossRef Peyrot M, Rubin RR. Treatment satisfaction in the sensor-augmented pump therapy for A1C reduction 3 (STAR 3) trial. Diabet Med. 2013;30:464–7.PubMedCrossRef
35.
go back to reference Kordonouri O, Pankowska E, Rami B, Kapellen T, Coutant R, Hartmann R, et al. Sensor-augmented pump therapy from the diagnosis of childhood type 1 diabetes: results of the Paediatric Onset Study (ONSET) after 12 months of treatment. Diabetologia. 2010;53:2487–95.PubMedCrossRef Kordonouri O, Pankowska E, Rami B, Kapellen T, Coutant R, Hartmann R, et al. Sensor-augmented pump therapy from the diagnosis of childhood type 1 diabetes: results of the Paediatric Onset Study (ONSET) after 12 months of treatment. Diabetologia. 2010;53:2487–95.PubMedCrossRef
36.
go back to reference •• Ruedy KJ. The effects of inpatient hybrid closed-loop therapy initiated within 1 week of type 1 diabetes diagnosis: diabetes research in Children Network (DirecNet) and type 1 diabetes TrialNet Study Groups. Diabetes Technol Ther. 2013;15(5). This important study examined the use of closed-loop therapy in newly diagnosed patients with T1D and it was found to be safe and effective. •• Ruedy KJ. The effects of inpatient hybrid closed-loop therapy initiated within 1 week of type 1 diabetes diagnosis: diabetes research in Children Network (DirecNet) and type 1 diabetes TrialNet Study Groups. Diabetes Technol Ther. 2013;15(5). This important study examined the use of closed-loop therapy in newly diagnosed patients with T1D and it was found to be safe and effective.
37.
go back to reference Buckingham B, Ruedy K, Chase HP, Weinzimer S, DiMeglio L, Russell W, et al. Does intensive metabolic control at the onset of diabetes followed by one year of sensor-augmented pump therapy improve c-peptide levels one year post diagnosis? ATTD. 2013;[Late Breaking Abstracts]. Buckingham B, Ruedy K, Chase HP, Weinzimer S, DiMeglio L, Russell W, et al. Does intensive metabolic control at the onset of diabetes followed by one year of sensor-augmented pump therapy improve c-peptide levels one year post diagnosis? ATTD. 2013;[Late Breaking Abstracts].
38.
go back to reference Choudhary P, Shin J, Wang Y, Evans ML, Hammond PJ, Kerr D, et al. Insulin pump therapy with automated insulin suspension in response to hypoglycemia: reduction in nocturnal hypoglycemia in those at greatest risk. Diabetes Care. 2011;34:2023–5. PMCID:PMC3161284.PubMedCrossRef Choudhary P, Shin J, Wang Y, Evans ML, Hammond PJ, Kerr D, et al. Insulin pump therapy with automated insulin suspension in response to hypoglycemia: reduction in nocturnal hypoglycemia in those at greatest risk. Diabetes Care. 2011;34:2023–5. PMCID:PMC3161284.PubMedCrossRef
39.
go back to reference Danne T, Kordonouri O, Holder M, Haberland H, Golembowski S, Remus K, et al. Prevention of hypoglycemia by using low glucose suspend function in sensor-augmented pump therapy. Diabetes Technol Ther. 2011;13:1129–34.PubMedCrossRef Danne T, Kordonouri O, Holder M, Haberland H, Golembowski S, Remus K, et al. Prevention of hypoglycemia by using low glucose suspend function in sensor-augmented pump therapy. Diabetes Technol Ther. 2011;13:1129–34.PubMedCrossRef
40.
go back to reference Garg S, Brazg RL, Bailey TS, Buckingham BA, Slover RH, Klonoff DC, et al. Reduction in duration of hypoglycemia by automatic suspension of insulin delivery: the in-clinic ASPIRE study. Diabetes Technol Ther. 2012;14:205–9.PubMedCrossRef Garg S, Brazg RL, Bailey TS, Buckingham BA, Slover RH, Klonoff DC, et al. Reduction in duration of hypoglycemia by automatic suspension of insulin delivery: the in-clinic ASPIRE study. Diabetes Technol Ther. 2012;14:205–9.PubMedCrossRef
41.
go back to reference van Bastelaar KM, Pouwer F, Cuijpers P, Riper H, Snoek FJ. Web-based depression treatment for type 1 and type 2 diabetic patients: a randomized, controlled trial. Diabetes Care. 2011;34:320–5. PMCID:PMC3024341.PubMedCrossRef van Bastelaar KM, Pouwer F, Cuijpers P, Riper H, Snoek FJ. Web-based depression treatment for type 1 and type 2 diabetic patients: a randomized, controlled trial. Diabetes Care. 2011;34:320–5. PMCID:PMC3024341.PubMedCrossRef
42.
go back to reference Stinson J, Wilson R, Gill N, Yamada J, Holt J. A systematic review of internet-based self-management interventions for youth with health conditions. J Pediatr Psychol. 2009;34:495–510.PubMedCrossRef Stinson J, Wilson R, Gill N, Yamada J, Holt J. A systematic review of internet-based self-management interventions for youth with health conditions. J Pediatr Psychol. 2009;34:495–510.PubMedCrossRef
43.
go back to reference Harris MA, Freeman KA, Duke DC, Hirschfield B, Boston B. Skype-based family problem solving for youth with poorly controlled diabetes: relative effectiveness of improving adherence and metabolic control. A Journal of the American Diabetes Association. 2013;62(Suppl. 1):A198. Harris MA, Freeman KA, Duke DC, Hirschfield B, Boston B. Skype-based family problem solving for youth with poorly controlled diabetes: relative effectiveness of improving adherence and metabolic control. A Journal of the American Diabetes Association. 2013;62(Suppl. 1):A198.
44.
go back to reference Izquierdo R, Morin PC, Bratt K, Moreau Z, Meyer S, Ploutz-Snyder R, et al. School-centered telemedicine for children with type 1 diabetes mellitus. J Pediatr. 2009;155:374–9.PubMedCrossRef Izquierdo R, Morin PC, Bratt K, Moreau Z, Meyer S, Ploutz-Snyder R, et al. School-centered telemedicine for children with type 1 diabetes mellitus. J Pediatr. 2009;155:374–9.PubMedCrossRef
45.
go back to reference Ritterband LM, Thorndike FP, Cox DJ, Kovatchev BP, Gonder-Frederick LA. A behavior change model for internet interventions. Ann Behav Med. 2009;38:18–27. PMCID:PMC2878721.PubMedCrossRef Ritterband LM, Thorndike FP, Cox DJ, Kovatchev BP, Gonder-Frederick LA. A behavior change model for internet interventions. Ann Behav Med. 2009;38:18–27. PMCID:PMC2878721.PubMedCrossRef
46.
go back to reference Eysenbach G. CONSORT-EHEALTH: improving and standardizing evaluation reports of Web-based and mobile health interventions. J Med Internet Res. 2011;13:e126. PMCID:PMC3278112.PubMedCrossRef Eysenbach G. CONSORT-EHEALTH: improving and standardizing evaluation reports of Web-based and mobile health interventions. J Med Internet Res. 2011;13:e126. PMCID:PMC3278112.PubMedCrossRef
47.
go back to reference Hanauer DA, Wentzell K, Laffel N, Laffel LM. Computerized Automated Reminder Diabetes System (CARDS): e-mail and SMS call phone text messaging reminders to support diabetes management. Diabetes Technol Ther. 2009;11:99–106.PubMedCrossRef Hanauer DA, Wentzell K, Laffel N, Laffel LM. Computerized Automated Reminder Diabetes System (CARDS): e-mail and SMS call phone text messaging reminders to support diabetes management. Diabetes Technol Ther. 2009;11:99–106.PubMedCrossRef
48.
go back to reference Franklin VL, Waller A, Pagliari C, Greene SA. A randomized controlled trial of Sweet Talk, a text-messaging system to support young people with diabetes. Diabet Med. 2006;23:1332–8.PubMedCrossRef Franklin VL, Waller A, Pagliari C, Greene SA. A randomized controlled trial of Sweet Talk, a text-messaging system to support young people with diabetes. Diabet Med. 2006;23:1332–8.PubMedCrossRef
49.
go back to reference Liang X, Wang Q, Yang X, Cao J, Chen J, Mo X, et al. Effect of mobile phone intervention for diabetes on glycaemic control: a meta-analysis. Diabet Med. 2011;28:455–63.PubMedCrossRef Liang X, Wang Q, Yang X, Cao J, Chen J, Mo X, et al. Effect of mobile phone intervention for diabetes on glycaemic control: a meta-analysis. Diabet Med. 2011;28:455–63.PubMedCrossRef
50.
go back to reference Charpentier G, Benhamou PY, Dardari D, Clergeot A, Franc S, Schaepelynck-Belicar P, 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;34:533–9. PMCID:PMC3041176.PubMedCrossRef Charpentier G, Benhamou PY, Dardari D, Clergeot A, Franc S, Schaepelynck-Belicar P, 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;34:533–9. PMCID:PMC3041176.PubMedCrossRef
51.
go back to reference Garcia E, Martin C, Garcia A, Harrison R, Flood D. Systematic analysis of mobile diabetes management applications on different platforms. Lect Notes Comput Sci. 2011;7058:379–96.CrossRef Garcia E, Martin C, Garcia A, Harrison R, Flood D. Systematic analysis of mobile diabetes management applications on different platforms. Lect Notes Comput Sci. 2011;7058:379–96.CrossRef
52.
go back to reference 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.PubMedCrossRef 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.PubMedCrossRef
53.
go back to reference Kumar VS, Wentzell KJ, Mikkelsen T, Pentland A, Laffel LM. The DAILY (Daily Automated Intensive Log for Youth) trial: a wireless, portable system to improve adherence and glycemic control in youth with diabetes. Diabetes Technol Ther. 2004;6:445–53.PubMedCrossRef Kumar VS, Wentzell KJ, Mikkelsen T, Pentland A, Laffel LM. The DAILY (Daily Automated Intensive Log for Youth) trial: a wireless, portable system to improve adherence and glycemic control in youth with diabetes. Diabetes Technol Ther. 2004;6:445–53.PubMedCrossRef
54.
go back to reference Klingensmith GJ, Aisenberg J, Kaufman F, Halvorson M, Cruz E, Riordan ME, Varma C, Pardo S, Viggiani MT, Wallace JF, et al. Evaluation of a combined blood glucose monitoring and gaming system (Didget®) for motivation in children, adolescents, and young adults with type 1 diabetes. Pediatr Diabetes. 2011;14(5):350–7. Klingensmith GJ, Aisenberg J, Kaufman F, Halvorson M, Cruz E, Riordan ME, Varma C, Pardo S, Viggiani MT, Wallace JF, et al. Evaluation of a combined blood glucose monitoring and gaming system (Didget®) for motivation in children, adolescents, and young adults with type 1 diabetes. Pediatr Diabetes. 2011;14(5):350–7.
55.
go back to reference Nagelberg N, Shemesh Iron M. Classmate — unique edutainment software for better management of diabetes in children. ATTD Presentation. 2013. Nagelberg N, Shemesh Iron M. Classmate — unique edutainment software for better management of diabetes in children. ATTD Presentation. 2013.
Metadata
Title
Technology to Optimize Pediatric Diabetes Management and Outcomes
Authors
Jessica T. Markowitz
Kara R. Harrington
Lori M. B. Laffel
Publication date
01-12-2013
Publisher
Springer US
Published in
Current Diabetes Reports / Issue 6/2013
Print ISSN: 1534-4827
Electronic ISSN: 1539-0829
DOI
https://doi.org/10.1007/s11892-013-0419-3

Other articles of this Issue 6/2013

Current Diabetes Reports 6/2013 Go to the issue

Psychosocial Aspects (KK Hood, Section Editor)

Utilization of Blood Glucose Data in Patient Education

Diabetes Epidemiology (SH Golden, Section Editor)

Race/Ethnic Difference in Diabetes and Diabetic Complications

Obesity Clinical Trial Summary

At a glance: The STEP trials

A round-up of the STEP phase 3 clinical trials evaluating semaglutide for weight loss in people with overweight or obesity.

Developed by: Springer Medicine

Highlights from the ACC 2024 Congress

Year in Review: Pediatric cardiology

Watch Dr. Anne Marie Valente present the last year's highlights in pediatric and congenital heart disease in the official ACC.24 Year in Review session.

Year in Review: Pulmonary vascular disease

The last year's highlights in pulmonary vascular disease are presented by Dr. Jane Leopold in this official video from ACC.24.

Year in Review: Valvular heart disease

Watch Prof. William Zoghbi present the last year's highlights in valvular heart disease from the official ACC.24 Year in Review session.

Year in Review: Heart failure and cardiomyopathies

Watch this official video from ACC.24. Dr. Biykem Bozkurt discuss last year's major advances in heart failure and cardiomyopathies.