Use of telemedicine in subjects with type 1 diabetes equipped with an insulin pump and real-time continuous glucose monitoring
Abstract
We evaluated a telemedicine system in patients with type 1 diabetes who had optimized treatment with an insulin pump and a real-time continuous glucose monitoring system. We conducted a prospective, one-year study of 15 subjects. Three medical visits took place: pre-baseline, baseline and at 6 months. Each month the subjects transmitted information from the glucose meter, glucose sensor and insulin pump. We adjusted the treatment and returned the information by email. We evaluated psychological and metabolic variables, including HbA 1c , hypoglycaemia, hyperglycaemia and glucose variability. At baseline the mean age of the subjects was 40 years and the mean duration of diabetes was 22 years. There was a significant reduction in HbA 1c (7.50 to 6.97%) at 6 months, a significant increase in the number of self-monitoring blood glucose checks per day (5.2 to 6.2), and significant improvements in variability: MODD, mean of daily difference (67 to 53) and MAGE, mean amplitude of glycaemic excursions (136 to 102). There were significant improvements in quality of life (92 to 87), satisfaction with the treatment (34 to 32) and less fear of hypoglycaemia (36 to 32). Adult subjects with type 1 diabetes on treatment with a continuous insulin infusion system and a real time glucose sensor and who have acceptable metabolic control and optimized treatment can benefit from the addition of a telemetry system to their usual outpatient follow-up.
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Previous research suggests that components of virtual care interventions lead to positive outcomes for people with type 2 diabetes such as improved blood glucose control and knowledge to manage their diabetes.
“Previous research suggests that components of virtual care interventions lead to positive outcomes for people with type 2 diabetes such as improved blood glucose control and knowledge to manage their diabetes [9, 10].”
From Effect of virtual care in type 2 diabetes management – a systematic umbrella review of systematic reviews and meta-analysis (2025) · cites this paper as [10]
Cites
Effectiveness of Sensor-Augmented Insulin-Pump Therapy in Type 1 Diabetes
Bergenstal, R. M., Tamborlane, W. V., Ahmann, A., Buse, J. B., Dailey, G., Davis, S. N., Joyce, C., Peoples, T., Perkins, B. A., Welsh, J. B., et al. (2010) · New England Journal of Medicine · doi:10.1056/nejmoa1002853 · Cited by 894 · see citing works
Glucose Variability; Does It Matter?
Siegelaar, S. E., Holleman, F., Hoekstra, J. B. L., & DeVries, J. H. (2010) · Endocrine Reviews · doi:10.1210/er.2009-0021 · Cited by 409 · see citing works
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Tchero, H., Kangambega, P., Briatte, C., Brunet-Houdard, S., Retali, G.-R., & Rusch, E. (2019) · Telemedicine and e-Health · doi:10.1089/tmj.2018.0128 · Cited by 239 · see citing works
Martyn-Nemeth, P. A., Farabi, S. S., Mihailescu, D. V., Nemeth, J., & Quinn, L. (2015) · Journal of Diabetes and its Complications · doi:10.1016/j.jdiacomp.2015.09.003 · Cited by 168 · see citing works
Su, D., Zhou, J., Kelley, M. S., Michaud, T. L., Siahpush, M., Kim, J., Wilson, F., Stimpson, J. P., & Pagán, J. A. (2016) · Diabetes Research and Clinical Practice · doi:10.1016/j.diabres.2016.04.019 · Cited by 164 · see citing works
A systematic review of IT for diabetes self-management: Are we there yet?
El-Gayar, O., Timsina, P., Nawar, N., & Eid, W. (2013) · International Journal of Medical Informatics · doi:10.1016/j.ijmedinf.2013.05.006 · Cited by 148 · see citing works
Telemedicine consultation for patients with diabetes mellitus: A cluster randomised controlled trial
Sood, A., Watts, S. A., Johnson, J. K., Hirth, S., & Aron, D. C. (2018) · Journal of Telemedicine and Telecare · doi:10.1177/1357633x17704346 · Cited by 86 · see citing works
Distal technologies and type 1 diabetes management
Duke, D. C., Barry, S., Wagner, D. V., Speight, J., Choudhary, P., & Harris, M. A. (2017) · The Lancet Diabetes & Endocrinology · doi:10.1016/s2213-8587(17)30260-7 · Cited by 72 · see citing works
Robson, N., & Hosseinzadeh, H. (2021) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph182212171 · Cited by 55 · see citing works
“For instance, some studies found that telehealth leads to better blood glucose control [22,23] while other studies did not support this [24].”
ResultTchero, H., Noubou, L., Becsangele, B., Mukisi-Mukaza, M., Retali, G.-R., & Rusch, E. (2017) · The International Journal of Lower Extremity Wounds · doi:10.1177/1534734617739195 · Cited by 54 · see citing works
“Telemedicine has emerged as one of the most economic and patient-friendly methods for monitoring and treatment of diabetics.(6,7) Increased connectivity among people through smartphones and advancements in internet has made it possible to develop and implement telemonitoring, as well as telecare programs for diabetics.”
Improving Type 1 Diabetes Management With Mobile Tools
Peterson, A. (2014) · Journal of Diabetes Science and Technology · doi:10.1177/1932296814529885 · Cited by 43 · see citing works
“Seven of the 14 studies reported statistically significant declining %A1C values.(19,20,23,25,26,28,29) Five intervention approaches were observed in these studies: Internet based,(23,26,30) Mobile based,(25,28,31,32) Mobile and Internet based,(20,22,27,33,34) a telephone service,(21,24) and an optional videoconferenc…”
BackgroundWaite, M. A., Martin, C. E., Franklin, R. H., Duce, D. A., & Harrison, R. (2018) · JMIR Human Factors · doi:10.2196/humanfactors.9049 · Cited by 20 · see citing works
“Martinez-Sarriegui et al [33] analyzed patient behavior when using the intervention of telemedicine system combined with CGM to identify how the CGM data captured participant interactions with the mobile system.”
Ravi, S., Meyerowitz-Katz, G., Yung, C., Ayre, J., McCaffery, K., Maberly, G., & Bonner, C. (2025) · BMC Health Services Research · doi:10.1186/s12913-025-12496-0 · Cited by 19 · see citing works
“Previous research suggests that components of virtual care interventions lead to positive outcomes for people with type 2 diabetes such as improved blood glucose control and knowledge to manage their diabetes [9, 10].”
Emerging role of digital technology and remote monitoring in the care of cardiac patients.
Banchs, J., & Scher, D. (2015) · The Medical clinics of North America · doi:10.1016/j.mcna.2015.02.013 · Cited by 19 · see citing works
Diabetology 4.0: Scoping Review of Novel Insights and Possibilities Offered by Digitalization
Eberle, C., Stichling, S., & Löhnert, M. (2021) · Journal of Medical Internet Research · doi:10.2196/23475 · Cited by 18 · see citing works
“In addition, improvement in blood glucose and cholesterol, QoL, and the number of SMBG checks is possible [77,78].”
Sheikhi, M., Moradi, M., Shahsavary, S., Alimoradi, Z., & Salimi, H. (2020) · BMC Psychology · doi:10.1186/s40359-020-00450-0 · Cited by 15 · see citing works
“Another group of interventions is featured with educating the patients, blood sugar level awareness practices, improving treatment motivations, improving awareness about hypoglycemia, and remote medical interventions [14, 15].”
BackgroundImportance of diabetes management during the COVID-19 pandemic
Pettus, J., & Skolnik, N. (2021) · Postgraduate medicine · doi:10.1080/00325481.2021.1978704 · Cited by 9 · see citing works
“health has been used to successfully lower HbA1C with no increase in diabetic ketoacidosis events despite no in-office visits for 6 months [62].”
MethodPágina web DiabeTIC: estudio piloto de la satisfacción e impacto sobre el control metabólico
Laureano, F. C. S., Ortega, M. D. C. A., Millán, A. I. J., Zaldivar, A. P., Calzado, C. G., Ferrón, M. P., & Rodríguez, J. J. S. (2013) · Endocrinología y Nutrición · doi:10.1016/j.endonu.2013.01.017 · Cited by 7 · see citing works
Home Telemonitoring Platforms for Adults with Diabetes Mellitus: A Narrative Review of Literature
Hammett, J., Sasangohar, F., & Lawley, M. (2018) · Proceedings of the Human Factors and Ergonomics Society Annual Meeting · doi:10.1177/1541931218621116 · Cited by 5 · see citing works
“One study used software developed specifically to collect data from a CGM, and the transmission only needed to occur once a month (Gonzalez-Molero et al., 2012).”
MethodDiabeTIC website: A pilot study of satisfaction and impact on metabolic control
Laureano, F. C. S., Ortega, M. D. C. A., Millán, A. I. J., Zaldivar, A. P., Calzado, C. G., Ferrón, M. P., & Rodríguez, J. J. S. (2013) · Endocrinología y Nutrición (English Edition) · doi:10.1016/j.endoen.2013.10.016 · Cited by 4 · see citing works
Schultz, A. N. Ø., Christensen, R., Bollig, G., Kidholm, K., & Brandt, F. (2025) · Diabetologia · doi:10.1007/s00125-025-06585-2 · Cited by 3 · see citing works
“When it comes to patients with diabetes treated with insulin pumps, few studies have explored telemedicine’s efficacy [3, 5].”
Schultz, A. N. Ø., Christensen, R., Bollig, G., Kidholm, K., & Brandt, F. (2022) · BMJ Open · doi:10.1136/bmjopen-2021-058728 · Cited by 2 · see citing works
Diyabetik ayak ülseri riskinin değerlendirilmesinde kullanılan teknolojiler
Günbaş, M., Besen, D. B., & Dervişoğlu, M. (2023) · Mersin Üniversitesi Sağlık Bilimleri Dergisi · doi:10.26559/mersinsbd.1178300 · Cited by 1
Sholihah, A. A., Tamtomo, D., & Prasetya, H. (2021) · Indonesian Journal of Medicine · doi:10.26911/theijmed.2021.6.3.415 · Cited by 1
“A study by Valdivieso et al., (2018) in 6 primary care centers in the city of Valencia, Spain shows that there is a relationship between Telehealth and better quality of life in chronic patients who are at high risk but not in mortality (González-Molero et al., 2012).”
Wojtera, A., Urantówka, N., Węglarz, A. K., Borowiecka, P. A., Adamarczuk, J. A., Głuski, J., Miciak, A. A., Kaszowska, K. B., Dąbrowski, T. P., Kaczmarz-Chojnacka, K., et al. (2026) · International Journal of Innovative Technologies in Social Science · doi:10.31435/ijitss.3(51).2026.6172
Eberle, C., Stichling, S., & Löhnert, M. (2020) · doi:10.2196/preprints.23475
- Authors
- González-Molero, I., Domínguez-López, M., Guerrero, M., Carreira, M., Caballero, F., Rubio-Martín, E., Linares, F., Cardona, I., Anarte, M. T., de Adana, M. S. R., & Soriguer, F.
- Affiliations
- Instituto de Salud Carlos III (ES)
- Endocrinology and Nutrition Service, Carlos Haya Hospital and CIBERDEM (Instituto de Salud Carlos III), Málaga, Spain
- Universidad de Málaga (ES)
- Psychiatric Department, Autonomous University of Madrid, Spain
- Hospital Clínico Universitario Virgen de la Victoria (ES)
- Personality, Evaluation and Psychological Treatment, Psychology Faculty, Málaga University, Spain
- Corresponding author
- González-Molero, Inmaculada
- Venue
- Journal of Telemedicine and Telecare
- Publisher
- SAGE Publications
- Published
- 2012-08-21
- Volume
- 18
- Issue
- 6
- Pages
- 328-332
- ISSN
- 1357-633X (ISSN-L)
- 1758-1109
- OpenAlex
- W2047569132
- Cited by
- 24
- References
- 23
- Citations by year
- 2026: 1 · 2025: 2 · 2023: 1 · 2022: 1 · 2021: 3 · 2020: 1 · 2018: 3 · 2017: 3 · 2016: 2 · 2015: 3 · 2014: 1 · 2013: 3
- FWCI
- 1.80
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of Telemedicine and Telecare (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Management and Research
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Telemedicine and Telehealth Implementation
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Management and Education
- Keywords
- telemedicine, type 1 diabetes, insulin pump, continuous glucose monitoring, HbA1c, glycemic variability, hypoglycemia, self-monitoring of blood glucose, quality of life, outpatient follow-up
- MeSH terms
- Adult, Blood Glucose, Diabetes Mellitus, Type 1, Female, Glycated Hemoglobin, Humans, Hypoglycemic Agents, Insulin, Male, Middle Aged, Prospective Studies, Quality of Life, Blood Glucose Self-Monitoring, Infusion Pumps, Implantable, Patient Satisfaction, Telemedicine, Monitoring, Ambulatory
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