Literature DB >> 16259856

A real-time, mobile phone-based telemedicine system to support young adults with type 1 diabetes.

Andrew Farmer1, Oliver Gibson, Paul Hayton, Kathryn Bryden, Christina Dudley, Andrew Neil, Lionel Tarassenko.   

Abstract

Telemedicine systems have been proposed as a means of supporting people with diabetes in the self-management of their condition. Requirements for monitoring parameters of care, including glycaemic control, extent of analysis and interpretation of data, patient-clinician contacts, and involvement of a multidisciplinary care team with effective communication, can be addressed by telemedicine systems. We describe the development and implementation of an innovative real-time telemedicine system based around transmission and feedback of data to and from a mobile phone. Proprietary Java-based programs were used to link a blood glucose meter to a mobile phone. In addition to immediate transmission of blood glucose data, information about insulin dose, eating patterns and physical exercise were collected. Immediate feedback to the phone included a colour histogram to draw attention to levels of control over glycaemia over the previous two weeks. Clinicians supporting patients had access to summary screens identifying users not testing, and those with levels of blood glucose outside pre-defined limits. More detailed graphical displays of data were used to provide data about control of insulin dose and the degree to which it was modified in response to diet and exercise. The system has been evaluated in a clinical trial conducted in secondary care and is now being adapted for use in a trial in primary care, which is designed to assess its effectiveness in providing integrated management for the patient, general practitioner and pharmacist.

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Year:  2005        PMID: 16259856     DOI: 10.14236/jhi.v13i3.594

Source DB:  PubMed          Journal:  Inform Prim Care        ISSN: 1475-9985


  26 in total

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2.  Helping high-risk youth move through high-risk periods: personally controlled health records for improving social and health care transitions.

Authors:  Elissa R Weitzman; Liljana Kaci; Maryanne Quinn; Kenneth D Mandl
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Review 3.  Healthcare in the pocket: mapping the space of mobile-phone health interventions.

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Journal:  J Biomed Inform       Date:  2011-09-09       Impact factor: 6.317

4.  Stepwise self-titration of oral glucose-lowering medication using a mobile telephone-based telehealth platform in type 2 diabetes: a feasibility trial in primary care.

Authors:  Alexander Nagrebetsky; Mark Larsen; Anthea Craven; Jane Turner; Nicky McRobert; Elizabeth Murray; Oliver Gibson; Andrew Neil; Lionel Tarassenko; Andrew Farmer
Journal:  J Diabetes Sci Technol       Date:  2013-01-01

Review 5.  Mobile applications for diabetes self-management: status and potential.

Authors:  Omar El-Gayar; Prem Timsina; Nevine Nawar; Wael Eid
Journal:  J Diabetes Sci Technol       Date:  2013-01-01

6.  ANALYSIS: mobile phones integrated into diabetes management: a logical progression.

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Journal:  J Diabetes Sci Technol       Date:  2008-01

7.  Telemedicine: What have we learned?

Authors:  P Whitten; B Holtz; C Laplante
Journal:  Appl Clin Inform       Date:  2010-05-05       Impact factor: 2.342

8.  Developing screening services for colorectal cancer on Android smartphones.

Authors:  Hui-Ching Wu; Chiao-Jung Chang; Chun-Che Lin; Ming-Chang Tsai; Che-Chia Chang; Ming-Hseng Tseng
Journal:  Telemed J E Health       Date:  2014-05-21       Impact factor: 3.536

9.  SMS versus telephone interviews for epidemiological data collection: feasibility study estimating influenza vaccination coverage in the Swedish population.

Authors:  Christin Bexelius; Hanna Merk; Sven Sandin; Alexandra Ekman; Olof Nyrén; Sharon Kühlmann-Berenzon; Annika Linde; Jan-Eric Litton
Journal:  Eur J Epidemiol       Date:  2008-12-10       Impact factor: 8.082

10.  Asthma self-assessment in a Medicaid population.

Authors:  Ann C Wu; James Glauber; Charlene Gay; Tracy A Lieu
Journal:  BMC Public Health       Date:  2009-07-16       Impact factor: 3.295

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