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A Randomized Controlled Trial of the Effect of Real-Time Telemedicine Support on Glycemic Control in Young Adults With Type 1 Diabetes (ISRCTN 46889446)

  1. Andrew J. Farmer, FRCGP1,
  2. Oliver J. Gibson, MENG2,
  3. Christina Dudley, RGN3,
  4. Kathryn Bryden, RGN1,
  5. Paul M. Hayton, DPHIL2,
  6. Lionel Tarassenko, DPHIL2 and
  7. Andrew Neil, FRCP13
  1. 1Division of Public Health and Primary Health Care, University of Oxford, Oxford, U.K
  2. 2Department of Engineering Science, University of Oxford, Oxford, U.K
  3. 3Oxford Centre for Diabetes Endocrinology and Metabolism, Churchill Hospital, Oxford, U.K
  1. Address correspondence and reprint requests to Dr. Andrew J. Farmer. E-mail: andrew.farmer{at}dphpc.ox.ac.uk

Abstract

OBJECTIVE—To determine whether a system of telemedicine support can improve glycemic control in type 1 diabetes.

RESEARCH DESIGN AND METHODS—A 9-month randomized trial compared glucose self-monitoring real-time result transmission and feedback of results for the previous 24 h in the control group with real-time graphical phone-based feedback for the previous 2 weeks together with nurse-initiated support using a web-based graphical analysis of glucose self-monitoring results in the intervention group. All patients aged 18–30 years with HbA1c (A1C) levels of 8–11% were eligible for inclusion.

RESULTS—A total of 93 patients (55 men) with mean diabetes duration (means ± SD) 12.1 ± 6.7 years were recruited from a young adult clinic. In total, the intervention and control groups transmitted 29,765 and 21,400 results, respectively. The corresponding median blood glucose levels were 8.9 mmol/l (interquartile range 5.4–13.5) and 10.3 mmol/l (6.5–14.4) (P < 0.0001). There was a reduction in A1C in the intervention group after 9 months from 9.2 ± 1.1 to 8.6 ± 1.4% (difference 0.6% [95% CI 0.3–1.0]) and a reduction in A1C in the control group from 9.3 ± 1.5 to 8.9 ± 1.4% (difference 0.4% [0.03–0.7]). This difference in change in A1C between groups was not statistically significant (0.2% [−0.2 to 0.7, P = 0.3).

CONCLUSIONS—Real-time telemedicine transmission and feedback of information about blood glucose results with nurse support is feasible and acceptable to patients, but to significantly improve glycemic control, access to real-time decision support for medication dosing and changes in diet and exercise may be required.

Footnotes

  • O.J.G. has received consulting fees from e-San. P.M.H. has received consulting fees from e-San. L.T. has been on an advisory panel for and holds stock in e-San.

    A table elsewhere in this issue shows conventional and Système International (SI) units and conversion factors for many substances.

    • Accepted August 4, 2005.
    • Received May 2, 2005.
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