Going Mobile with a Multiaccess Service for the Management of Diabetic Patients
Open accessAbstract
Background: Diabetes mellitus is one of the chronic diseases exploiting the largest number of telemedicine systems. Our research group has been involved since 1996 in two projects funded by the European Union proposing innovative architectures and services according to the best current medical practices and advances in the information technology area. Method: We propose an enhanced architecture for telemedicine giving rise to a multitier application. The lower tier is represented by a mobile phone hosting the patient unit able to acquire data and provide first-level advice to the patient. The patient unit also facilitates interaction with the health care center, representing the higher tier, by automatically uploading data and receiving back any therapeutic plan supplied by the physician. On the patient's side the mobile phone exploits Bluetooth technology and therefore acts as a hub for a wireless network, possibly including several devices in addition to the glucometer. Results: A new system architecture based on mobile technology is being used to implement several prototypes for assessing its functionality. A subsequent effort will be undertaken to exploit the new system within a pilot study for the follow-up of patients cared at a major hospital located in northern Italy. Conclusion: We expect that the new architecture will enhance the interaction between patient and caring physician, simplifying and improving metabolic control. In addition to sending glycemic data to the caring center, we also plan to automatically download the therapeutic protocols provided by the physician to the insulin pump and collect data from multiple sensors.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Lanzola and colleagues proposed a multi-tier model: lower tiers use automated treatment algorithms for disease management, while higher tiers involve a healthcare provider only when lower-tier interventions fail.
“Lanzola and colleagues have proposed a multi-tier intervention model in which lower-tier disease management interventions are provided via automated treatment algorithms and higher tier interventions involving the healthcare provider occur only if the lower-tier interventions are ineffective [68].”
From Health behavior models in the age of mobile interventions: are our theories up to the task? (2011) · cites this paper as [68]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
Shea, S., Starren, J. B., Weinstock, R. S., Knudson, P. E., Teresi, J. A., Holmes, D., Palmas, W., Field, L., Goland, R., Tuck, C. H., et al. (2002) · Journal of the American Medical Informatics Association · doi:10.1136/jamia.2002.0090049 · Cited by 167 · see citing works
Telemedicine as a tool for intensive management of diabetes: the DIABTel experience
Aguilera, E. J. G., Hernando, M. E., García‐Olaya, Á., del Pozo, F., Cermeño, J., Corcoy, R., Brugués, E., & de Leiva, A. (2002) · Computer Methods and Programs in Biomedicine · doi:10.1016/s0169-2607(02)00039-1 · Cited by 160 · see citing works
A telemedicine support for diabetes management: the T-IDDM project
Bellazzi, R., Larizza, C., Stefania Montani, B., Riva, A., Mario Stefanelli, A., d’Annunzio, G., Lorini, R., Aguilera, E. J. G., Hernando, M. E., Brugués, E., et al. (2002) · Computer Methods and Programs in Biomedicine · doi:10.1016/s0169-2607(02)00038-x · Cited by 133 · see citing works
Self-citationTelephone Modem Access Improves Diabetes Control in Those with Insulin-Requiring Diabetes
Ahring, K., Ahring, J. P. K., Joyce, C., & Farid, N. R. (1992) · Diabetes Care · doi:10.2337/diacare.15.8.971 · Cited by 105 · see citing works
The HealthPia GlucoPack ™ Diabetes Phone: A Usability Study
Carroll, A. E., Marrero, D. G., & Downs, S. M. (2007) · Diabetes Technology & Therapeutics · doi:10.1089/dia.2006.0002 · Cited by 98 · see citing works
Bellazzi, R., Arcelloni, M., Bensa, G., Blankenfeld, H., Brugués, E., Carson, E. R., Cobelli, C., Cramp, D. G., d’Annunzio, G., Cata, P. D., et al. (2003) · Diabetes Technology & Therapeutics · doi:10.1089/152091503322250640 · Cited by 65 · see citing works
Self-citationBellazzi, R., Mario Stefanelli, A., Ferrari, P., Cata, P. D., Gazzaruso, C., Fratino, P., d’Annunzio, G., Hernando, M. E., Aguilera, E. J. G., & Larizza, C. (2006) · Methods of Information in Medicine · doi:10.1055/s-0038-1634041 · Cited by 39 · see citing works
Self-citationNguyen, H. T., Ghevondian, N., & Jones, T. W. (2006) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/iembs.2006.259482 · Cited by 32 · see citing works
AN INTELLIGENT DIABETES MOBILE CARE SYSTEM WITH ALERT MECHANISM
Lee, R.-G., Hsiao, C.-C., Chen, K., & LIU, M.-H. (2005) · Biomedical Engineering Applications Basis and Communications · doi:10.4015/s1016237205000299 · Cited by 16 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
Boulos, M. N. K., Wheeler, S., Tavares, C., & Jones, R. B. (2011) · BioMedical Engineering OnLine · doi:10.1186/1475-925x-10-24 · Cited by 1,071 · see citing works
Health behavior models in the age of mobile interventions: are our theories up to the task?
Riley, W. T., Rivera, D. E., Atienza, A. A., Nilsen, W., Allison, S. M., & Mermelstein, R. (2011) · Translational Behavioral Medicine · doi:10.1007/s13142-011-0021-7 · Cited by 978 · see citing works
Parimbelli, E., Bottalico, B., Losiouk, E., Tomasi, M., Santosuosso, A., Lanzola, G., Quaglini, S., & Bellazzi, R. (2018) · International Journal of Medical Informatics · doi:10.1016/j.ijmedinf.2018.01.012 · Cited by 110 · see citing works
Self-citationTelemedicine 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
Self-citationRemote Blood Glucose Monitoring in mHealth Scenarios: A Review
Lanzola, G., Losiouk, E., Favero, S. D., Facchinetti, A., Galderisi, A., Quaglini, S., Magni, L., & Cobelli, C. (2016) · Sensors · doi:10.3390/s16121983 · Cited by 49 · see citing works
Self-citationThe Role of Technology and the Chronic Care Model
Siminerio, L. M. (2010) · Journal of Diabetes Science and Technology · doi:10.1177/193229681000400229 · Cited by 48 · see citing works
Kouris, I., Mougiakakou, S., Scarnato, L., Iliopoulou, D., Diem, P., Vazeou, A., & Koutsouris, D. (2010) · International Journal of Electronic Healthcare · doi:10.1504/ijeh.2010.036209 · Cited by 46 · see citing works
Mobile Personal Health Care System for Patients with Diabetes
Zhou, F., Yang, H., Álamo, J. M. R., Wong, J. S. K., & Chang, C. K. (2010) · Lecture notes in computer science · doi:10.1007/978-3-642-13778-5_12 · Cited by 43 · see citing works
An ICT-Based Diabetes Management System Tested for Health Care Delivery in the African Context
Takenga, C., Berndt, R.-D., Musongya, O., Kitero, J., Katoke, R., Molo, K., Kazingufu, B., Meni, M., Vikandy, M., & Takenga, H. (2014) · International Journal of Telemedicine and Applications · doi:10.1155/2014/437307 · Cited by 38 · see citing works
Kebede, M. M., Schuett, C., & Pischke, C. R. (2019) · Journal of Clinical Medicine · doi:10.3390/jcm8010109 · Cited by 28 · see citing works
A generic telemedicine infrastructure for monitoring an artificial pancreas trial
Capozzi, D., & Lanzola, G. (2013) · Computer Methods and Programs in Biomedicine · doi:10.1016/j.cmpb.2013.01.011 · Cited by 26 · see citing works
Self-citationmHealth for diabetes support: a systematic review of apps available on the Italian market
Rossi, M. G., & Bigi, S. (2017) · mHealth · doi:10.21037/mhealth.2017.04.06 · Cited by 25 · see citing works
Antepartum Fetal Monitoring through a Wearable System and a Mobile Application
Signorini, M. G., Lanzola, G., Torti, E., Fanelli, A., & Magenes, G. (2018) · Technologies · doi:10.3390/technologies6020044 · Cited by 24 · see citing works
Self-citationAn Agent-Based Architecture for Home Care Monitoring and Education of Chronic Patients
Capozzi, D., & Lanzola, G. (2010) · Complexity in Engineering (COMPENG) · doi:10.1109/compeng.2010.11 · Cited by 21 · see citing works
Self-citationHow Continuous Monitoring Changes the Interaction of Patients with a Mobile Telemedicine System
Martínez-Sarriegui, I., García-Sáez, G., Rigla, M., Brugués, E., de Leiva, A., Aguilera, E. J. G., & Hernando, M. E. (2011) · Journal of Diabetes Science and Technology · doi:10.1177/193229681100500102 · Cited by 18 · see citing works
Performance assessment of a closed-loop system for diabetes management
Martínez-Millana, A., Fico, G., Fernández-Llatas, C., & Traver, V. (2015) · Medical & Biological Engineering & Computing · doi:10.1007/s11517-015-1245-3 · Cited by 17 · see citing works
Utilizing Information Technologies for Lifelong Monitoring in Diabetes Patients
Capozzi, D., & Lanzola, G. (2011) · Journal of Diabetes Science and Technology · doi:10.1177/193229681100500108 · Cited by 16 · see citing works
Self-citationDesigning an artificial pancreas architecture: the AP@home experience
Lanzola, G., Toffanin, C., Palma, F. D., Favero, S. D., Magni, L., & Bellazzi, R. (2014) · Medical & Biological Engineering & Computing · doi:10.1007/s11517-014-1231-1 · Cited by 15 · see citing works
Self-citationVitebskaya, A. V., Krasnovidova, A. E., & Rimskaya, A. M. (2022) · Meditsinskiy sovet = Medical Council · doi:10.21518/2079-701x-2022-16-12-64-70 · Cited by 6 · see citing works
Delivering and Assessing Learning Material through Gquest
Lanzola, G., Ginardi, G., Russo, P., & Quaglini, S. (2014) · International Journal of Mobile and Blended Learning · doi:10.4018/ijmbl.2014070104 · Cited by 3 · see citing works
Self-citationSheta, O. E., Omer, M. K. A., & Elkhtem, M. S. (2015) · Journal of Biomedical Engineering and Medical Imaging · doi:10.14738/jbemi.24.1309 · Cited by 2 · see citing works
Diet, exercise, and smartphones - A content analysis of mobile applications for weight loss
Subramanian, R. (2015) · Cited by 2 · see citing works
A Machine Learning Based Approach for Diabetes Detection and Care in Bangladesh
Rahman, S. S., Mahmud, H., Talukder, M. R., Daria, A., & Akhtar, S. (2018) · Gyancity Journal of Engineering and Technology · doi:10.21058/gjet.2018.42003 · Cited by 2 · see citing works
Kumar, M. A., & Shanmugasundaram, P. (2019) · Diabetes & Metabolic Syndrome Clinical Research & Reviews · doi:10.1016/j.dsx.2019.04.037 · Cited by 2 · see citing works
An Advanced Platform for Managing Complications of Chronic Diseases
Capozzi, D., & Lanzola, G. (2009) · Lecture notes in computer science · doi:10.1007/978-3-642-02976-9_27
Self-citation
- Authors
- Lanzola, G., Capozzi, D., D'Annunzio, G., Ferrari, P., Bellazzi, R., & Larizza, C.
- Affiliations
- University of Pavia (IT)
- Clinica Pediatrica, Ospedale G. Gaslini, Genova, Italy
- Fondazione Salvatore Maugeri (IT)
- Corresponding author
- Larizza, Cristiana
- Venue
- Journal of Diabetes Science and Technology
- Publisher
- SAGE Publications
- Published
- 2007-09
- Volume
- 1
- Issue
- 5
- Pages
- 730-737
- ISSN
- 1932-2968 (ISSN-L)
- PMC
- PMC2769663
- OpenAlex
- W2165688262
- Cited by
- 26
- References
- 9
- Citations by year
- 2022: 1 · 2019: 2 · 2018: 4 · 2017: 1 · 2016: 1 · 2015: 3 · 2014: 3 · 2013: 1
- FWCI
- 3.95
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Journal of Diabetes Science and Technology (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Funders
- NIH Clinical Center
- Topics
- Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Telemedicine and Telehealth Implementation
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Management and Research
- Keywords
- diabetes mellitus, telemedicine, mobile health, Bluetooth, insulin pump, patient-physician interaction, glycemic control, wireless sensor networks
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review