Characterizing Active Ingredients of eHealth Interventions Targeting Persons With Poorly Controlled Type 2 Diabetes Mellitus Using the Behavior Change Techniques Taxonomy: Scoping Review

@inproceedings{Kebede2017CharacterizingAI,
  title={Characterizing Active Ingredients of eHealth Interventions Targeting Persons With Poorly Controlled Type 2 Diabetes Mellitus Using the Behavior Change Techniques Taxonomy: Scoping Review},
  author={Mihiretu M Kebede and Tatjana P Liedtke and Tobias M{\"o}llers and Claudia R Pischke},
  booktitle={Journal of medical Internet research},
  year={2017}
}
BACKGROUND The behavior change technique taxonomy v1 (BCTTv1; Michie and colleagues, 2013) is a comprehensive tool to characterize active ingredients of interventions and includes 93 labels that are hierarchically clustered into 16 hierarchical clusters. OBJECTIVE The aim of this study was to identify the active ingredients in electronic health (eHealth) interventions targeting patients with poorly controlled type 2 diabetes mellitus (T2DM) and relevant outcomes. METHODS We conducted a… CONTINUE READING
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