Telemedicine diabetes consultations are cost-effective, and effects on essential diabetes treatment parameters are similar to conventional treatment: 7-year results from the Svendborg Telemedicine Diabetes project
Open accessAbstract
BACKGROUND: The increasing number of patients with diabetes poses a major challenge for the health care system. One instrument to meet these challenges could be the use of telemedicine, which, at the same time, may reduce treatment costs. Since 2005, diabetes patients on the island of Aeroe have been offered expert diabetes care using teleconsultations. This article describes the impact of the telemedicine solution on essential diabetes treatment parameters, patient satisfaction, and cost-effectiveness. METHODS: Telemedicine consultations were conducted with the patient and nurse specialist placed in a consultation room of Aeroe Hospital in audiovisual contact with the physician situated at the hospital on the mainland. Consultations were supported by an electronic patient record and a Web-based quality-monitoring diabetes database. RESULTS: Inclusion criteria in this retrospective study were at least 6 months of telemedicine diabetes control with a minimum of two visits and two hemoglobin A1c (HbA1c) values. Results were compared with data from the Danish National Diabetes Registry (DVDD). Data are given in medians. In total, 23 type 1 diabetes mellitus (T1DM) patients, aged 65 (56-74) versus 48 years, diabetes duration 21.0 (10.7-31.3) versus 20.5 years, and 55 type 2 diabetes mellitus (T2DM) patients, aged 67 (64-70) versus 65 years, diabetes duration 14.0 (10.5-17.5) versus 11.7 years, were included. After teleconsultation, HbA1c in T1DM patients was 8.0% (7.4-8.6%) versus 7.9% [64 (57-71) versus 63 mmol/mol], not significant, and in T2DM patients was 7.4% (7.1-7.7%) versus 7.6% [57 (54-61) versus 60 mmol/mol], p < .05. Body mass index, blood pressure, and lipid values were comparable with the DVDD. Patient satisfaction was especially related to the major reduction in transportation time (7 h). Reductions in traveling costs and saved working days were the most important factors in making the telemedicine set-up economically efficient. CONCLUSION: Telemedicine consultation for remote outpatient diabetes control is feasible, and the interdisciplinary interventions achieved high treatment quality results in essential diabetes treatment parameters. In addition, the telemedicine set-up was associated with improved cost-effectiveness and patient satisfaction.
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Interactive video consultations could improve glycaemic control.
“Numerous trials have suggested that interactive video consultations could improve glycaemic control.[66][67][68]”
Cites
10-year follow-up of intensive glucose control in type 2 diabetes
Holman, R. R., Paul, S. K., Bethel, M. A., Matthews, D. R., & Neil, H. A. W. (2008) · New England Journal of Medicine · doi:10.1056/nejmoa0806470 · Cited by 7,751 · see citing works
The worldwide epidemiology of type 2 diabetes mellitus—present and future perspectives
Chen, L., Magliano, D. J., & Zimmet, P. Z. (2012) · Nature Reviews Endocrinology · doi:10.1038/nrendo.2011.183 · Cited by 2,227 · see citing works
Effect of intensive therapy on the microvascular complications of type 1 diabetes mellitus
The Writing Team for the Diabetes Control and Complications Trial/Epidemiology of Diabetes Interventions and Complications Research Group (2002) · JAMA: The Journal of the American Medical Association · doi:10.1001/jama.287.19.2563 · Cited by 941 · see citing works
Systematic Review of Home Telemonitoring for Chronic Diseases: The Evidence Base
Pare, G., Jaana, M., & Sicotte, C. (2007) · Journal of the American Medical Informatics Association · doi:10.1197/jamia.m2270 · Cited by 816 · see citing works
Steventon, A., Bardsley, M., Billings, J., Dixon, J., Doll, H., Hirani, S., Cartwright, M., Rixon, L., Knapp, M., Henderson, C., et al. (2012) · BMJ · doi:10.1136/bmj.e3874 · Cited by 583 · see citing works
Patterson, C. C., Gyürüs, E., Rosenbauer, J., Cinek, O., Neu, A., Schober, E., Parslow, R. C., Joner, G., Svensson, J., Castell, C., et al. (2012) · Diabetologia · doi:10.1007/s00125-012-2571-8 · Cited by 470 · see citing works
Intensive Glycemic Control in the ACCORD and ADVANCE Trials
Dluhy, R. G., & McMahon, G. T. (2008) · New England Journal of Medicine · doi:10.1056/nejme0804182 · Cited by 375 · see citing works
Shea, S., Weinstock, R. S., Teresi, J. A., Palmas, W., Starren, J. B., Cimino, J. J., Lai, A. M., Field, L., Morin, P. C., Goland, R., et al. (2009) · Journal of the American Medical Informatics Association · doi:10.1197/jamia.m3157 · Cited by 375 · see citing works
Charpentier, G., Benhamou, P.-Y., Dardari, D., Clergeot, A., Franc, S., Schaepelynck-Belicar, P., Catargi, B., Melki, V., Chaillous, L., Farret, A., et al. (2011) · Diabetes Care · doi:10.2337/dc10-1259 · Cited by 292 · see citing works
Asynchronous and synchronous teleconsultation for diabetes care: A systematic literature review
Verhoeven, F., Tanja-Dijkstra, K., Nijland, N., Eysenbach, G., & van Gemert-Pijnen, L. (2010) · Journal of Diabetes Science and Technology · doi:10.1177/193229681000400323 · Cited by 247 · see citing works
Home telehealth for diabetes management: a systematic review and meta‐analysis
Polisena, J., Tran, K., Cimon, K., Hutton, B., McGill, S., & Palmer, K. (2009) · Diabetes, Obesity and Metabolism · doi:10.1111/j.1463-1326.2009.01057.x · Cited by 239 · see citing works
Evaluation Methods in Biomedical Informatics
Friedman, C. P., & Wyatt, J. C. (2006) · Computers in health care · doi:10.1007/0-387-30677-3 · Cited by 187 · see citing works
Can economic evaluation in telemedicine be trusted? A systematic review of the literature
Bergmo, T. S. (2009) · Cost Effectiveness and Resource Allocation · doi:10.1186/1478-7547-7-18 · Cited by 103 · see citing works
Using Telemedicine to Improve Outcomes in Diabetes—An Emerging Technology
Klonoff, D. C. (2009) · Journal of Diabetes Science and Technology · doi:10.1177/193229680900300401 · Cited by 85 · see citing works
Palmas, W., Shea, S., Starren, J., Teresi, J., Ganz, M., Burton, T., Pashos, C., Blustein, J., Field, L., Morin, P. C., et al. (2010) · J. Am. Medical Informatics Assoc. · doi:10.1136/jamia.2009.002592 · Cited by 56 · see citing works
Telemedicine and Diabetes Management: Current Challenges and Future Research Directions
Bellazzi, R. (2008) · Journal of Diabetes Science and Technology · doi:10.1177/193229680800200114 · Cited by 49 · see citing works
Mason, J. M., Young, R. J., New, J. P., Gibson, M., Long, A., Gambling, T. S., & Friede, T. (2006) · Disease Management & Health Outcomes · doi:10.2165/00115677-200614060-00007 · Cited by 25 · see citing works
[Is decentralisation of specialised healthcare beneficial in social and financial terms?].
Abelsen, B., Gaski, M., Pedersen, E. H., et al. (2004) · PubMed · Cited by 3 · see citing works
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Wadhera, R. K., Steen, D. L., Khan, I., Giugliano, R. P., & Foody, J. M. (2016) · Journal of Clinical Lipidology · doi:10.1016/j.jacl.2015.11.010 · Cited by 306 · see citing works
Scherrenberg, M., Wilhelm, M., Hansen, D., Völler, H., Cornelissen, V., Frederix, I., Kemps, H., & Dendale, P. (2021) · European Journal of Preventive Cardiology · doi:10.1177/2047487320939671 · Cited by 251 · see citing works
ISPAD Clinical Practice Consensus Guidelines 2018: diabetes technologies
Sherr, J. L., Tauschmann, M., Battelino, T., de Bock, M., Forlenza, G., Roman, R., Hood, K. K., & Maahs, D. M. (2018) · Pediatric Diabetes · doi:10.1111/pedi.12731 · Cited by 197 · see citing works
Hoek, P. D., Schers, H. J., Bronkhorst, E. M., Vissers, K. C. P., & Hasselaar, J. G. J. (2017) · BMC Medicine · doi:10.1186/s12916-017-0866-9 · Cited by 122 · see citing works
Telemedicine interventions for gestational diabetes mellitus: A systematic review and meta-analysis
Rasekaba, T. M., Furler, J., Blackberry, I., Tacey, M., Gray, K., & Lim, K. (2015) · Diabetes Research and Clinical Practice · doi:10.1016/j.diabres.2015.07.007 · Cited by 115 · see citing works
Rinaldi, G., Hijazi, A., & Haghparast-Bidgoli, H. (2020) · Diabetes Research and Clinical Practice · doi:10.1016/j.diabres.2020.108084 · Cited by 85 · see citing works
McLendon, S. F. (2017) · Diabetes Spectrum · doi:10.2337/ds16-0004 · Cited by 57 · see citing works
“(12) indicated that their study demonstrated cost reductions primarily related to the avoidance of transportation costs and was estimated to save $60–70 per patient per visit.”
Background
- Authors
- Levin, K., Madsen, J. R., Petersen, I., Wanscher, C. E., & Hangaard, J.
- Affiliations
- Odense University Hospital (DK)
- University of Southern Denmark (DK)
- Region of Southern Denmark (DK)
- Venue
- Journal of Diabetes Science and Technology
- Publisher
- SAGE Publications
- Published
- 2013-05
- Volume
- 7
- Issue
- 3
- Pages
- 587-595
- ISSN
- 1932-2968 (ISSN-L)
- PMC
- PMC3869125
- OpenAlex
- W2095784838
- Cited by
- 63
- References
- 18
- Citations by year
- 2026: 1 · 2025: 2 · 2024: 1 · 2023: 2 · 2022: 13 · 2021: 4 · 2020: 5 · 2019: 4 · 2018: 7 · 2017: 5 · 2016: 5 · 2015: 6 · 2014: 7 · 2013: 1
- FWCI
- 6.46
- Type
- journal article
- Language
- en
- Open access
- green
- europepmc.org
- Locations
- Journal of Diabetes Science and Technology (publishedVersion)
- Europe PMC (PubMed Central) (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- University of Southern Denmark Research Portal (University of Southern Denmark) (submittedVersion)
- Topics
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Telemedicine and Telehealth Implementation
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Management and Research
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Management and Education
- Keywords
- telemedicine, diabetes mellitus, type 1 diabetes, type 2 diabetes, teleconsultation, cost-effectiveness, glycemic control, HbA1c, patient satisfaction, travel cost, quality monitoring, rural health care, specialist nurses, quality of life, health care utilization
- MeSH terms
- Aged, Cost-Benefit Analysis, Denmark, Diabetes Mellitus, Female, Follow-Up Studies, Glycated Hemoglobin, Humans, Male, Middle Aged, Retrospective Studies, Patient Satisfaction, Telemedicine, Remote Consultation
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