Title |
Design of a randomized, non-inferiority trial to evaluate the reliability of videoconferencing for remote consultation of diabetes
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Published in |
BMC Medical Informatics and Decision Making, February 2014
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DOI | 10.1186/1472-6947-14-11 |
Pubmed ID | |
Authors |
Farhad Fatehi, Melinda Martin-Khan, Leonard C Gray, Anthony W Russell |
Abstract |
An estimated 366 million people are living with diabetes worldwide and it is predicted that its prevalence will increase to 552 million by 2030. Management of this disease and its complications is a challenge for many countries. Optimal glycaemic control is necessary to minimize complications, but less than 70% of diabetic patients achieve target levels of blood glucose, partly due to poor access to qualified health care providers. Telemedicine has the potential to improve access to health care, especially for rural and remote residents. Video teleconsultation, a real-time (or synchronous) mode of telemedicine, is gaining more popularity around the world through recent improvements in digital telecommunications. If video consultation is to be offered as an alternative to face-to-face consultation in diabetes assessment and management, then it is important to demonstrate that this can be achieved without loss of clinical fidelity. This paper describes the protocol of a randomised controlled trail for assessing the reliability of remote video consultation for people with diabetes. |
X Demographics
Geographical breakdown
Country | Count | As % |
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India | 1 | 100% |
Demographic breakdown
Type | Count | As % |
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Practitioners (doctors, other healthcare professionals) | 1 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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Poland | 1 | <1% |
Denmark | 1 | <1% |
Singapore | 1 | <1% |
Australia | 1 | <1% |
Unknown | 126 | 97% |
Demographic breakdown
Readers by professional status | Count | As % |
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Student > Master | 29 | 22% |
Researcher | 14 | 11% |
Student > Ph. D. Student | 13 | 10% |
Student > Bachelor | 11 | 8% |
Student > Doctoral Student | 9 | 7% |
Other | 22 | 17% |
Unknown | 32 | 25% |
Readers by discipline | Count | As % |
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Medicine and Dentistry | 41 | 32% |
Nursing and Health Professions | 15 | 12% |
Social Sciences | 7 | 5% |
Computer Science | 6 | 5% |
Psychology | 6 | 5% |
Other | 18 | 14% |
Unknown | 37 | 28% |