A meta-synthesis of behavioral outcomes from telemedicine clinical trials for type 2 diabetes and the clinical user-experience evaluation (CUE)

Jalil, Sakib, Myers, Trina, and Atkinson, Ian (2015) A meta-synthesis of behavioral outcomes from telemedicine clinical trials for type 2 diabetes and the clinical user-experience evaluation (CUE). Journal of Medical Systems, 39 (3). 28. pp. 1-21.

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A worldwide demographic shift is in progress and the aged population proportion is projected to more than double across the next four decades. Our current healthcare models may not be adequate to handle this shift in demography, which may have serious consequences for the ageing population who are more prone to chronic diseases. One proposed remediation is to provide in-home assisted healthcare with technology-intervened approaches. Telemedicine, telehealth, e-health are paradigms found in scientific literature that provide clinical treatment through a technology intervention. In evidence-based medical science, these technology interventions are evaluated through clinical trials, which are targeted to measure improvements in medical conditions and the treatment's cost effectiveness. However, effectiveness of a technology also depends on the interaction pattern between the technology and its' users, especially the patients. This paper presents (1) a meta-synthesis of clinical trials for technology-intervened treatments of type 2 diabetes and (2) the Clinical User-Experience Evaluation (CUE). CUE is a recommendation for future telemedicine clinical trials that focuses on the patient as the user from Human-Computer Interaction (HCI) perspective and was developed as part of this research. The clinical trials reviewed were interpreted from a technology perspective and the non-medical or non-biological improvements of the users (patients) rather than the medical outcome. Results show that technology-intervened treatments provide positive behavior changes among patients and are potentially highly beneficial for chronic illness management such as type 2 diabetes. The results from the CUE method show how it complements clinical trials to capture patients' interaction with a technology.

Item ID: 35893
Item Type: Article (Research - C1)
ISSN: 1573-689X
Keywords: human computer interaction, telemedicine, technology-intervened treatment, clinical trial, clinical user-experience evaluation
Date Deposited: 17 Jun 2015 04:37
FoR Codes: 08 INFORMATION AND COMPUTING SCIENCES > 0806 Information Systems > 080602 Computer-Human Interaction @ 100%
SEO Codes: 97 EXPANDING KNOWLEDGE > 970110 Expanding Knowledge in Technology @ 80%
97 EXPANDING KNOWLEDGE > 970111 Expanding Knowledge in the Medical and Health Sciences @ 20%
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