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Published in: Current Diabetes Reports 11/2019

01-11-2019 | Insulins | Lifestyle Management to Reduce Diabetes/Cardiovascular Risk (B Conway and H Keenan, Section Editors)

Has Technology Improved Diabetes Management in Relation to Age, Gender, and Ethnicity?

Authors: Leslie Eiland, Thiyagarajan Thangavelu, Andjela Drincic

Published in: Current Diabetes Reports | Issue 11/2019

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Abstract

Purpose of Review

To review the current state of diabetes technology adoption and describe impact on outcomes in the context of age, gender, and ethnicity. We will discuss barriers and propose solutions that may help facilitate the adoption.

Recent Findings

We are witnessing rapid evolution and increase in adoption of diabetes technology in all its forms, including insulin delivery and glucose monitoring devices, mobile medical applications, and telemedicine. This technology has a great potential to improve diabetes-related outcomes, including acute and chronic complications as well as quality of life for people living with diabetes. However, currently available outcome data are showing modest efficacy and evidence for disparities when it comes to age, gender, and ethnicity.

Summary

Despite multiple barriers, the adoption of technology is steadily increasing. It is clear that disparities exist in terms of access to and use of technology, but they may be at least in part driven by unmet needs of end users and as such are not unsurmountable. While more research is needed to identify the specific causes for the disparities, future development of diabetes technology that is based on adaptation of behavioral theories has a potential to address the gaps. The disparities can be lessened by understanding the needs of end users and with improvement in personalization of technology, allowing the right device to be used by the right patient. Targeted interventions to increase awareness and education and help navigate the processes involved in currently available technology may help diminish the gaps in health equity.
Literature
1.
go back to reference Anonymous Telehealth Basics. https://www.americantelemed.org/resource/why-telemedicine/. Accessed July 10 2019. Anonymous Telehealth Basics. https://​www.​americantelemed.​org/​resource/​why-telemedicine/​.​ Accessed July 10 2019.
2.
go back to reference American Diabetes Association. Diabetes technology: standards of medical care in diabetes-2019. Diabetes Care. 2019;42:S71–80. American Diabetes Association. Diabetes technology: standards of medical care in diabetes-2019. Diabetes Care. 2019;42:S71–80.
3.
go back to reference Lin MH, Connor CG, Ruedy KJ, Beck RW, Kollman C, Buckingham B, et al. Race, socioeconomic status, and treatment center are associated with insulin pump therapy in youth in the first year following diagnosis of type 1 diabetes. Diabetes Technol Ther. 2013;15:929–34.PubMedPubMedCentral Lin MH, Connor CG, Ruedy KJ, Beck RW, Kollman C, Buckingham B, et al. Race, socioeconomic status, and treatment center are associated with insulin pump therapy in youth in the first year following diagnosis of type 1 diabetes. Diabetes Technol Ther. 2013;15:929–34.PubMedPubMedCentral
5.
go back to reference Tanenbaum ML, Hanes SJ, Miller KM, Naranjo D, Bensen R, Hood KK. Diabetes device use in adults with type 1 diabetes: barriers to uptake and potential intervention targets. Diabetes Care. 2017;40:181–7.PubMed Tanenbaum ML, Hanes SJ, Miller KM, Naranjo D, Bensen R, Hood KK. Diabetes device use in adults with type 1 diabetes: barriers to uptake and potential intervention targets. Diabetes Care. 2017;40:181–7.PubMed
6.
go back to reference •• Foster NC, Beck RW, Miller KM, Clements MA, Rickels MR, DiMeglio LA, et al. State of type 1 diabetes management and outcomes from the T1D Exchange in 2016–2018. Diabetes Technol Ther. 2019;21:66–72. This paper provides updated data from T1D Exchange, illustrating the impressive increase in adoption of technology over the last several years, but notably it does not correlate with improved glycemic control. PubMedPubMedCentral •• Foster NC, Beck RW, Miller KM, Clements MA, Rickels MR, DiMeglio LA, et al. State of type 1 diabetes management and outcomes from the T1D Exchange in 2016–2018. Diabetes Technol Ther. 2019;21:66–72. This paper provides updated data from T1D Exchange, illustrating the impressive increase in adoption of technology over the last several years, but notably it does not correlate with improved glycemic control. PubMedPubMedCentral
7.
go back to reference Diabetes Control and Complications Trial (DCCT)/Epidemiology of Diabetes Interventions and Complications (EDIC) Study Research Group. Mortality in type 1 diabetes in the DCCT/EDIC versus the general population. Diabetes Care. 2016;39:1378–83. Diabetes Control and Complications Trial (DCCT)/Epidemiology of Diabetes Interventions and Complications (EDIC) Study Research Group. Mortality in type 1 diabetes in the DCCT/EDIC versus the general population. Diabetes Care. 2016;39:1378–83.
9.
go back to reference Keenan HA, Costacou T, Sun JK, Doria A, Cavellerano J, Coney J, et al. Clinical factors associated with resistance to microvascular complications in diabetic patients of extreme disease duration: the 50-year medalist study. Diabetes Care. 2007;30:1995–7.PubMed Keenan HA, Costacou T, Sun JK, Doria A, Cavellerano J, Coney J, et al. Clinical factors associated with resistance to microvascular complications in diabetic patients of extreme disease duration: the 50-year medalist study. Diabetes Care. 2007;30:1995–7.PubMed
10.
go back to reference Sun JK, Keenan HA, Cavallerano JD, Asztalos BF, Schaefer EJ, Sell DR, et al. Protection from retinopathy and other complications in patients with type 1 diabetes of extreme duration: the Joslin 50-year medalist study. Diabetes Care. 2011;34:968–74.PubMedPubMedCentral Sun JK, Keenan HA, Cavallerano JD, Asztalos BF, Schaefer EJ, Sell DR, et al. Protection from retinopathy and other complications in patients with type 1 diabetes of extreme duration: the Joslin 50-year medalist study. Diabetes Care. 2011;34:968–74.PubMedPubMedCentral
11.
go back to reference Weisman A, Rovinski R, Farooqi MA, Lovblom LE, Halpern EM, Boulet G, et al. Commonly measured clinical variables are not associated with burden of complications in long-standing type 1 diabetes: results from the Canadian study of longevity in diabetes. Diabetes Care. 2016;39:e67–8.PubMed Weisman A, Rovinski R, Farooqi MA, Lovblom LE, Halpern EM, Boulet G, et al. Commonly measured clinical variables are not associated with burden of complications in long-standing type 1 diabetes: results from the Canadian study of longevity in diabetes. Diabetes Care. 2016;39:e67–8.PubMed
12.
go back to reference Cryer PE. Hypoglycemia in type 1 diabetes mellitus. Endocrinol Metab Clin N Am. 2010;39:641–54. Cryer PE. Hypoglycemia in type 1 diabetes mellitus. Endocrinol Metab Clin N Am. 2010;39:641–54.
13.
go back to reference American Diabetes Association. Older adults: standards of medical care in diabetes-2019. Diabetes Care. 2019;42:S139–47. American Diabetes Association. Older adults: standards of medical care in diabetes-2019. Diabetes Care. 2019;42:S139–47.
15.
go back to reference Matejko B, Cyganek K, Katra B, Galicka-Latala D, Grzanka M, Malecki MT, et al. Insulin pump therapy is equally effective and safe in elderly and young type 1 diabetes patients. Rev Diabet Stud. 2011;8:254–8.PubMedPubMedCentral Matejko B, Cyganek K, Katra B, Galicka-Latala D, Grzanka M, Malecki MT, et al. Insulin pump therapy is equally effective and safe in elderly and young type 1 diabetes patients. Rev Diabet Stud. 2011;8:254–8.PubMedPubMedCentral
16.
go back to reference • Ruedy KJ, Parkin CG, Riddlesworth TD, Graham C, DIAMOND Study Group. Continuous glucose monitoring in older adults with type 1 and type 2 diabetes using multiple daily injections of insulin: results from the DIAMOND trial. J Diabetes Sci Technol. 2017;11:1138–46. This study demonstrates the benefits of CGM for people with T1DM and T2DM on multiple daily injections. PubMedPubMedCentral • Ruedy KJ, Parkin CG, Riddlesworth TD, Graham C, DIAMOND Study Group. Continuous glucose monitoring in older adults with type 1 and type 2 diabetes using multiple daily injections of insulin: results from the DIAMOND trial. J Diabetes Sci Technol. 2017;11:1138–46. This study demonstrates the benefits of CGM for people with T1DM and T2DM on multiple daily injections. PubMedPubMedCentral
17.
go back to reference Briganti EM, Summers JC, Fitzgerald ZA, Lambers LNJ, Cohen ND. Continuous subcutaneous insulin infusion can be used effectively and safely in older patients with type 1 diabetes: long-term follow-up. Diabetes Technol Ther. 2018;20:783–6.PubMed Briganti EM, Summers JC, Fitzgerald ZA, Lambers LNJ, Cohen ND. Continuous subcutaneous insulin infusion can be used effectively and safely in older patients with type 1 diabetes: long-term follow-up. Diabetes Technol Ther. 2018;20:783–6.PubMed
18.
go back to reference Argento NB, Nakamura K. Personal real-time continuous glucose monitoring in patients 65 years and older. Endocr Pract. 2014;20:1297–302.PubMed Argento NB, Nakamura K. Personal real-time continuous glucose monitoring in patients 65 years and older. Endocr Pract. 2014;20:1297–302.PubMed
19.
go back to reference Vigersky RA, Fonda SJ, Chellappa M, Walker MS, Ehrhardt NM. Short- and long-term effects of real-time continuous glucose monitoring in patients with type 2 diabetes. Diabetes Care. 2012;35:32–8.PubMed Vigersky RA, Fonda SJ, Chellappa M, Walker MS, Ehrhardt NM. Short- and long-term effects of real-time continuous glucose monitoring in patients with type 2 diabetes. Diabetes Care. 2012;35:32–8.PubMed
20.
go back to reference LeRoith D, Biessels GJ, Braithwaite SS, Casanueva FF, Draznin B, Halter JB, et al. Treatment of diabetes in older adults: an endocrine society* clinical practice guideline. J Clin Endocrinol Metab. 2019;104:1520–74.PubMedPubMedCentral LeRoith D, Biessels GJ, Braithwaite SS, Casanueva FF, Draznin B, Halter JB, et al. Treatment of diabetes in older adults: an endocrine society* clinical practice guideline. J Clin Endocrinol Metab. 2019;104:1520–74.PubMedPubMedCentral
21.
go back to reference Carls G, Huynh J, Tuttle E, Yee J, Edelman SV. Achievement of glycated hemoglobin goals in the US remains unchanged through 2014. Diabetes Ther. 2017;8:863–73.PubMedPubMedCentral Carls G, Huynh J, Tuttle E, Yee J, Edelman SV. Achievement of glycated hemoglobin goals in the US remains unchanged through 2014. Diabetes Ther. 2017;8:863–73.PubMedPubMedCentral
22.
go back to reference O'Connor MR, Carlin K, Coker T, Zierler B, Pihoker C. Disparities in insulin pump therapy persist in youth with type 1 diabetes despite rising overall pump use rates. J Pediatr Nurs. 2019;44:16–21.PubMed O'Connor MR, Carlin K, Coker T, Zierler B, Pihoker C. Disparities in insulin pump therapy persist in youth with type 1 diabetes despite rising overall pump use rates. J Pediatr Nurs. 2019;44:16–21.PubMed
23.
go back to reference Sheikh K, Bartz SK, Lyons SK, DeSalvo DJ. Diabetes device use and glycemic control among youth with type 1 diabetes: a single-center, cross-sectional study. J Diabetes Res. 2018;2018:5162162.PubMedPubMedCentral Sheikh K, Bartz SK, Lyons SK, DeSalvo DJ. Diabetes device use and glycemic control among youth with type 1 diabetes: a single-center, cross-sectional study. J Diabetes Res. 2018;2018:5162162.PubMedPubMedCentral
24.
go back to reference Valenzuela JM, La Greca AM, Hsin O, Taylor C, Delamater AM. Prescribed regimen intensity in diverse youth with type 1 diabetes: role of family and provider perceptions. Pediatr Diabetes. 2011;12:696–703.PubMed Valenzuela JM, La Greca AM, Hsin O, Taylor C, Delamater AM. Prescribed regimen intensity in diverse youth with type 1 diabetes: role of family and provider perceptions. Pediatr Diabetes. 2011;12:696–703.PubMed
25.
go back to reference Commissariat PV, Boyle CT, Miller KM, Mantravadi MG, DeSalvo DJ, Tamborlane WV, et al. Insulin pump use in young children with type 1 diabetes: sociodemographic factors and parent-reported barriers. Diabetes Technol Ther. 2017;19:363–9.PubMedPubMedCentral Commissariat PV, Boyle CT, Miller KM, Mantravadi MG, DeSalvo DJ, Tamborlane WV, et al. Insulin pump use in young children with type 1 diabetes: sociodemographic factors and parent-reported barriers. Diabetes Technol Ther. 2017;19:363–9.PubMedPubMedCentral
26.
go back to reference Wheeler BJ, Braund R, Galland B, Mikuscheva A, Wiltshire E, Jefferies C, et al. District health board of residence, ethnicity and socioeconomic status all impact publicly funded insulin pump uptake in New Zealand patients with type 1 diabetes. N Z Med J. 2019;132:78–89.PubMed Wheeler BJ, Braund R, Galland B, Mikuscheva A, Wiltshire E, Jefferies C, et al. District health board of residence, ethnicity and socioeconomic status all impact publicly funded insulin pump uptake in New Zealand patients with type 1 diabetes. N Z Med J. 2019;132:78–89.PubMed
27.
go back to reference Feig DS, Donovan LE, Corcoy R, Murphy KE, Amiel SA, Hunt KF, et al. Continuous glucose monitoring in pregnant women with type 1 diabetes (CONCEPTT): a multicentre international randomised controlled trial. Lancet. 2017;390:2347–59.PubMedPubMedCentral Feig DS, Donovan LE, Corcoy R, Murphy KE, Amiel SA, Hunt KF, et al. Continuous glucose monitoring in pregnant women with type 1 diabetes (CONCEPTT): a multicentre international randomised controlled trial. Lancet. 2017;390:2347–59.PubMedPubMedCentral
28.
go back to reference Voormolen DN, DeVries JH, Sanson RME, Heringa MP, de Valk HW, Kok M, et al. Continuous glucose monitoring during diabetic pregnancy (GlucoMOMS): a multicentre randomized controlled trial. Diabetes Obes Metab. 2018;20:1894–902.PubMed Voormolen DN, DeVries JH, Sanson RME, Heringa MP, de Valk HW, Kok M, et al. Continuous glucose monitoring during diabetic pregnancy (GlucoMOMS): a multicentre randomized controlled trial. Diabetes Obes Metab. 2018;20:1894–902.PubMed
29.
go back to reference Rys PM, Ludwig-Slomczynska AH, Cyganek K, Malecki MT. Continuous subcutaneous insulin infusion vs multiple daily injections in pregnant women with type 1 diabetes mellitus: a systematic review and meta-analysis of randomised controlled trials and observational studies. Eur J Endocrinol. 2018;178:545–63.PubMed Rys PM, Ludwig-Slomczynska AH, Cyganek K, Malecki MT. Continuous subcutaneous insulin infusion vs multiple daily injections in pregnant women with type 1 diabetes mellitus: a systematic review and meta-analysis of randomised controlled trials and observational studies. Eur J Endocrinol. 2018;178:545–63.PubMed
30.
go back to reference Mukhopadhyay A, Farrell T, Fraser RB, Ola B. Continuous subcutaneous insulin infusion vs intensive conventional insulin therapy in pregnant diabetic women: a systematic review and metaanalysis of randomized, controlled trials. Am J Obstet Gynecol. 2007;197:447–56.PubMed Mukhopadhyay A, Farrell T, Fraser RB, Ola B. Continuous subcutaneous insulin infusion vs intensive conventional insulin therapy in pregnant diabetic women: a systematic review and metaanalysis of randomized, controlled trials. Am J Obstet Gynecol. 2007;197:447–56.PubMed
31.
go back to reference Stewart ZA, Wilinska ME, Hartnell S, O'Neil LK, Rayman G, Scott EM, et al. Day-and-night closed-loop insulin delivery in a broad population of pregnant women with type 1 diabetes: a randomized controlled crossover trial. Diabetes Care. 2018;41:1391–9.PubMed Stewart ZA, Wilinska ME, Hartnell S, O'Neil LK, Rayman G, Scott EM, et al. Day-and-night closed-loop insulin delivery in a broad population of pregnant women with type 1 diabetes: a randomized controlled crossover trial. Diabetes Care. 2018;41:1391–9.PubMed
32.
go back to reference Stewart ZA, Wilinska ME, Hartnell S, Temple RC, Rayman G, Stanley KP, et al. Closed-loop insulin delivery during pregnancy in women with type 1 diabetes. N Engl J Med. 2016;375:644–54.PubMed Stewart ZA, Wilinska ME, Hartnell S, Temple RC, Rayman G, Stanley KP, et al. Closed-loop insulin delivery during pregnancy in women with type 1 diabetes. N Engl J Med. 2016;375:644–54.PubMed
33.
go back to reference Murphy HR. Intensive glycemic treatment during type 1 diabetes pregnancy: a story of (mostly) sweet success! Diabetes Care. 2018;41:1563–71.PubMed Murphy HR. Intensive glycemic treatment during type 1 diabetes pregnancy: a story of (mostly) sweet success! Diabetes Care. 2018;41:1563–71.PubMed
35.
go back to reference Drincic A, Prahalad P, Greenwood D, Klonoff DC. Evidence-based mobile medical applications in diabetes. Endocrinol Metab Clin N Am. 2016;45:943–65. Drincic A, Prahalad P, Greenwood D, Klonoff DC. Evidence-based mobile medical applications in diabetes. Endocrinol Metab Clin N Am. 2016;45:943–65.
36.
go back to reference Eiland L, McLarney M, Thangavelu T, Drincic A (2018) App-based insulin calculators: current and future state. Curr Diab Rep 18:123–018. Eiland L, McLarney M, Thangavelu T, Drincic A (2018) App-based insulin calculators: current and future state. Curr Diab Rep 18:123–018.
37.
go back to reference Clements MA, Staggs VS. A mobile app for synchronizing glucometer data: impact on adherence and glycemic control among youths with type 1 diabetes in routine care. J Diabetes Sci Technol. 2017;11:461–7.PubMedPubMedCentral Clements MA, Staggs VS. A mobile app for synchronizing glucometer data: impact on adherence and glycemic control among youths with type 1 diabetes in routine care. J Diabetes Sci Technol. 2017;11:461–7.PubMedPubMedCentral
38.
go back to reference Sheehy S, Cohen G, Owen KR. Self-management of diabetes in children and young adults using technology and smartphone applications. Curr Diabetes Rev. 2014;10:298–301.PubMed Sheehy S, Cohen G, Owen KR. Self-management of diabetes in children and young adults using technology and smartphone applications. Curr Diabetes Rev. 2014;10:298–301.PubMed
40.
go back to reference Quinn CC, Khokhar B, Weed K, Barr E, Gruber-Baldini AL. Older adult self-efficacy study of mobile phone diabetes management. Diabetes Technol Ther. 2015;17:455–61.PubMedPubMedCentral Quinn CC, Khokhar B, Weed K, Barr E, Gruber-Baldini AL. Older adult self-efficacy study of mobile phone diabetes management. Diabetes Technol Ther. 2015;17:455–61.PubMedPubMedCentral
41.
go back to reference Arnhold M, Quade M, Kirch W. Mobile applications for diabetics: a systematic review and expert-based usability evaluation considering the special requirements of diabetes patients age 50 years or older. J Med Internet Res. 2014;16:e104.PubMedPubMedCentral Arnhold M, Quade M, Kirch W. Mobile applications for diabetics: a systematic review and expert-based usability evaluation considering the special requirements of diabetes patients age 50 years or older. J Med Internet Res. 2014;16:e104.PubMedPubMedCentral
43.
go back to reference Rodriguez JA, Singh K. The Spanish availability and readability of diabetes apps. J Diabetes Sci Technol. 2018;12:719–24.PubMedPubMedCentral Rodriguez JA, Singh K. The Spanish availability and readability of diabetes apps. J Diabetes Sci Technol. 2018;12:719–24.PubMedPubMedCentral
44.
go back to reference Williams JP, Schroeder D. Popular glucose tracking apps and use of mHealth by Latinos with diabetes: review. JMIR Mhealth Uhealth. 2015;3:e84.PubMedPubMedCentral Williams JP, Schroeder D. Popular glucose tracking apps and use of mHealth by Latinos with diabetes: review. JMIR Mhealth Uhealth. 2015;3:e84.PubMedPubMedCentral
45.
go back to reference Sarkar U, Gourley GI, Lyles CR, Tieu L, Clarity C, Newmark L, et al. Usability of commercially available mobile applications for diverse patients. J Gen Intern Med. 2016;31:1417–26.PubMedPubMedCentral Sarkar U, Gourley GI, Lyles CR, Tieu L, Clarity C, Newmark L, et al. Usability of commercially available mobile applications for diverse patients. J Gen Intern Med. 2016;31:1417–26.PubMedPubMedCentral
46.
go back to reference Carroll JK, Moorhead A, Bond R, LeBlanc WG, Petrella RJ, Fiscella K. Who uses mobile phone health apps and does use matter? A secondary data analytics approach. J Med Internet Res. 2017;19:e125.PubMedPubMedCentral Carroll JK, Moorhead A, Bond R, LeBlanc WG, Petrella RJ, Fiscella K. Who uses mobile phone health apps and does use matter? A secondary data analytics approach. J Med Internet Res. 2017;19:e125.PubMedPubMedCentral
47.
go back to reference Ramchandani N. Virtual coaching to enhance diabetes care. Diabetes Technol Ther. 2019;21:S248–51.PubMed Ramchandani N. Virtual coaching to enhance diabetes care. Diabetes Technol Ther. 2019;21:S248–51.PubMed
48.
go back to reference Greenwood DA, Gee PM, Fatkin KJ, Peeples M. A systematic review of reviews evaluating technology-enabled diabetes self-management education and support. J Diabetes Sci Technol. 2017;11:1015–27.PubMedPubMedCentral Greenwood DA, Gee PM, Fatkin KJ, Peeples M. A systematic review of reviews evaluating technology-enabled diabetes self-management education and support. J Diabetes Sci Technol. 2017;11:1015–27.PubMedPubMedCentral
50.
go back to reference Weinstock RS, Teresi JA, Goland R, Izquierdo R, Palmas W, Eimicke JP, et al. Glycemic control and health disparities in older ethnically diverse underserved adults with diabetes: five-year results from the Informatics for Diabetes Education and Telemedicine (IDEATel) study. Diabetes Care. 2011;34:274–9.PubMedPubMedCentral Weinstock RS, Teresi JA, Goland R, Izquierdo R, Palmas W, Eimicke JP, et al. Glycemic control and health disparities in older ethnically diverse underserved adults with diabetes: five-year results from the Informatics for Diabetes Education and Telemedicine (IDEATel) study. Diabetes Care. 2011;34:274–9.PubMedPubMedCentral
51.
go back to reference Dy P, Morin PC, Weinstock RS. Use of telemedicine to improve glycemic management in a skilled nursing facility: a pilot study. Telemed J E Health. 2013;19:643–5.PubMed Dy P, Morin PC, Weinstock RS. Use of telemedicine to improve glycemic management in a skilled nursing facility: a pilot study. Telemed J E Health. 2013;19:643–5.PubMed
52.
go back to reference Trief PM, Izquierdo R, Eimicke JP, Teresi JA, Goland R, Palmas W, et al. Adherence to diabetes self care for white, African-American and Hispanic American telemedicine participants: 5 year results from the IDEATel project. Ethn Health. 2013;18:83–96.PubMed Trief PM, Izquierdo R, Eimicke JP, Teresi JA, Goland R, Palmas W, et al. Adherence to diabetes self care for white, African-American and Hispanic American telemedicine participants: 5 year results from the IDEATel project. Ethn Health. 2013;18:83–96.PubMed
53.
go back to reference Zhai YK, Zhu WJ, Cai YL, Sun DX, Zhao J. Clinical- and cost-effectiveness of telemedicine in type 2 diabetes mellitus: a systematic review and meta-analysis. Medicine (Baltimore). 2014;93:e312. Zhai YK, Zhu WJ, Cai YL, Sun DX, Zhao J. Clinical- and cost-effectiveness of telemedicine in type 2 diabetes mellitus: a systematic review and meta-analysis. Medicine (Baltimore). 2014;93:e312.
54.
go back to reference Lee SWH, Ooi L, Lai YK. Telemedicine for the management of glycemic control and clinical outcomes of type 1 diabetes mellitus: a systematic review and meta-analysis of randomized controlled studies. Front Pharmacol. 2017;8:330.PubMedPubMedCentral Lee SWH, Ooi L, Lai YK. Telemedicine for the management of glycemic control and clinical outcomes of type 1 diabetes mellitus: a systematic review and meta-analysis of randomized controlled studies. Front Pharmacol. 2017;8:330.PubMedPubMedCentral
55.
56.
go back to reference Wood CL, Clements SA, McFann K, Slover R, Thomas JF, Wadwa RP. Use of telemedicine to improve adherence to American Diabetes Association standards in pediatric type 1 diabetes. Diabetes Technol Ther. 2016;18:7–14.PubMed Wood CL, Clements SA, McFann K, Slover R, Thomas JF, Wadwa RP. Use of telemedicine to improve adherence to American Diabetes Association standards in pediatric type 1 diabetes. Diabetes Technol Ther. 2016;18:7–14.PubMed
57.
go back to reference Sood A, Watts SA, Johnson JK, Hirth S, Aron DC. Telemedicine consultation for patients with diabetes mellitus: a cluster randomised controlled trial. J Telemed Telecare. 2018;24:385–91.PubMed Sood A, Watts SA, Johnson JK, Hirth S, Aron DC. Telemedicine consultation for patients with diabetes mellitus: a cluster randomised controlled trial. J Telemed Telecare. 2018;24:385–91.PubMed
58.
go back to reference Hanna KM. A framework for the youth with type 1 diabetes during the emerging adulthood transition. Nurs Outlook. 2012;60:401–10.PubMedPubMedCentral Hanna KM. A framework for the youth with type 1 diabetes during the emerging adulthood transition. Nurs Outlook. 2012;60:401–10.PubMedPubMedCentral
59.
go back to reference Klonoff DC. Behavioral theory: the missing ingredient for digital health tools to change behavior and increase adherence. J Diabetes Sci Technol. 2019;13:276–81.PubMedPubMedCentral Klonoff DC. Behavioral theory: the missing ingredient for digital health tools to change behavior and increase adherence. J Diabetes Sci Technol. 2019;13:276–81.PubMedPubMedCentral
Metadata
Title
Has Technology Improved Diabetes Management in Relation to Age, Gender, and Ethnicity?
Authors
Leslie Eiland
Thiyagarajan Thangavelu
Andjela Drincic
Publication date
01-11-2019
Publisher
Springer US
Published in
Current Diabetes Reports / Issue 11/2019
Print ISSN: 1534-4827
Electronic ISSN: 1539-0829
DOI
https://doi.org/10.1007/s11892-019-1231-5

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