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Mapping Theories, Models, and Frameworks to Evaluate Digital Health Interventions: Scoping Review.

Geneviève RouleauKelly WuKarishini RamamoorthiCherish BoxallRebecca H LiuShelagh MaloneyJennifer ZelmerTed ScottDarren LarsenHarindra C WijeysunderaDaniela ZieglerR Sacha BhatiaVanessa KishimotoCarolyn Steele GrayLaura Desveaux
Published in: Journal of medical Internet research (2024)
As TMFs are most often reported to be applied to support data collection and analysis, researchers should consider more clearly synthesizing key insights as practical use cases to both increase the relevance and digestibility of their findings. There is also a need to adapt or develop guidelines for better reporting DHIs and the use of TMFs to guide evaluation. Hence, it would contribute to ensuring ongoing technology transformation efforts are evidence and theory informed rather than anecdotally driven.
Keyphrases
  • public health
  • healthcare
  • high resolution
  • mental health
  • adverse drug
  • big data
  • quality improvement
  • mass spectrometry
  • data analysis
  • deep learning
  • human health