Technology-Enabled Self-Management (TES) elements, such as two-way communication, patient-generated health data, tailored education, and individualized feedback, are not always described clearly. This makes it challenging to understand why and how these interventions are delivering positive outcomes. The TES Taxonomy was developed to overcome this lacuna.
The TES Taxonomy is modeled after the medication Full Prescribing Information (FPI). It includes attributes such as indications, class, and mechanism of action, active ingredients, dose, route, frequency, duration, and adverse effects. This helps standardize the description of technology-enabled interventions and ensure the taxonomy is used to evaluate and replicate the research.
Diabetes care and education specialists can use the TES Taxonomy as a guide for appraising technology-enabled and digital health tools critically. Furthermore, Diabetes Self-Management Education and Support services that integrate the TES feedback loop will be able to individualize and personalize care by incorporating patient-generated health data to engage people with diabetes to the fullest capacity.
TES-enabled diabetes interventions continue to be associated with improved clinical outcomes. The ongoing rapid adoption and technology engagement make it essential to focus on uniform measures for behavioral/psychosocial outcomes. Using the TES Taxonomy as a standard approach to describe technology-enabled interventions will improve the understanding of technology's impact on diabetes outcomes.
Click here to read the original article published by The Association of Diabetes Care & Education Specialists.
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