Literature DB >> 23982170

Using the Internet-based upload blood glucose monitoring and therapy management system in patients with type 1 diabetes.

S Shalitin1, T Ben-Ari, M Yackobovitch-Gavan, A Tenenbaum, Y Lebenthal, L de Vries, M Phillip.   

Abstract

The aim of this study is to assess the impact of the internet-based upload blood glucose monitoring and therapy management system (Carelink(®)) in patients with type 1 diabetes. Diabetic patients treated with pump infusion for ≥3 months were prospectively randomized to use the CareLink(®) with (4 months) and without (4 months) diabetes-team initiated contact (n = 36, intervention group) or to continue standard care for 4 months and then transfer to the CareLink(®) without diabetes-team initiated contact (n = 34, control group). In the first 4 months, treatment was adjusted monthly by the same team in both groups. Main outcome measures were HbA1c level and scores on the Diabetes Treatment Satisfaction and Diabetes Quality of Life Questionnaires. Patients who submitted <3 times during each 4-month segment were considered noncompliant. Mean patient age was 14.02 ± 5.33 years; mean diabetes duration, 6.4 ± 4.7 years; median duration of pump treatment, 2.5 years. After 4 months, mean HbA1c level decreased from 8.75 ± 0.84 to 8.45 ± 0.90% in the intervention group (p = 0.013) and from 8.65 ± 0.57 to 8.37 ± 0.73% in the control group (p = 0.054). Within the intervention group, the difference in the change in HbA1c levels between compliant and noncompliant patients was significant (8.17 ± 0.81 vs. 8.99 ± 0.85%, p = 0.017). Only in the compliant subgroup was the decrease from baseline significant (p = 0.006). Similar findings were noted in the control group at 8 months (p < 0.05 and p = 0.018, respectively). There were no significant changes in questionnaire scores at 4 or 8 months in either group. Use of the CareLink(®) system is associated with significantly improved glycemic control in compliant patients, with no apparent effect on patient satisfaction or quality of life.

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Year:  2013        PMID: 23982170     DOI: 10.1007/s00592-013-0510-x

Source DB:  PubMed          Journal:  Acta Diabetol        ISSN: 0940-5429            Impact factor:   4.280


  12 in total

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Review 2.  Telehealth interventions to reduce management complications in type 1 diabetes: A review.

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3.  Insulin dose optimization using an automated artificial intelligence-based decision support system in youths with type 1 diabetes.

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Review 4.  CGM, Pregnancy, and Remote Monitoring.

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5.  A Mobile App for Synchronizing Glucometer Data: Impact on Adherence and Glycemic Control Among Youths With Type 1 Diabetes in Routine Care.

Authors:  Mark A Clements; Vincent S Staggs
Journal:  J Diabetes Sci Technol       Date:  2017-02-09

Review 6.  Effects of consumer-oriented health information technologies in diabetes management over time: a systematic review and meta-analysis of randomized controlled trials.

Authors:  Da Tao; Tieyan Wang; Tieshan Wang; Shuang Liu; Xingda Qu
Journal:  J Am Med Inform Assoc       Date:  2017-09-01       Impact factor: 4.497

7.  Machine Learning-Based Anomaly Detection Algorithms to Alert Patients Using Sensor Augmented Pump of Infusion Site Failures.

Authors:  Lorenzo Meneghetti; Eyal Dassau; Francis J Doyle; Simone Del Favero
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8.  A Minority of Patients with Type 1 Diabetes Routinely Downloads and Retrospectively Reviews Device Data.

Authors:  Jenise C Wong; Aaron B Neinstein; Matthew Spindler; Saleh Adi
Journal:  Diabetes Technol Ther       Date:  2015-07-02       Impact factor: 6.118

Review 9.  Type 1 Diabetes in the Young: Organization of Two National Centers in Israel and Slovenia.

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Journal:  Zdr Varst       Date:  2015-03-13

10.  A case study in open source innovation: developing the Tidepool Platform for interoperability in type 1 diabetes management.

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