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Continuous evaluation of evolving behavioral intervention technologies.

David C Mohr1, Ken Cheung, Stephen M Schueller

  • 1Department of Preventive Medicine and the Center for Behavioral Intervention Technologies (Mohr, Schueller), Northwestern University, Chicago, Illinois.

American Journal of Preventive Medicine
|September 21, 2013
PubMed
Summary
This summary is machine-generated.

Behavioral intervention technologies (BITs) require faster evaluation. A new framework, Continuous Evaluation of Evolving Behavioral Intervention Technologies (CEEBIT), enables ongoing assessment and adaptation of digital health tools.

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Area of Science:

  • Digital Health
  • Behavioral Science
  • Health Technology Assessment

Background:

  • Behavioral intervention technologies (BITs) are digital tools for health and well-being.
  • Current evaluation methods (e.g., RCTs) are too slow for rapidly evolving BITs.
  • BITs generate data that can be used for continuous learning and improvement.

Purpose of the Study:

  • To propose a new methodologic framework, Continuous Evaluation of Evolving Behavioral Intervention Technologies (CEEBIT).
  • To support the evaluation of multiple BITs or evolving versions in near real-time.
  • To ensure the ongoing effectiveness and safety of BITs in clinical and commercial settings.

Main Methods:

  • CEEBIT framework allows for iterative data collection and analysis.
  • Systematic prospective analyses generate evidence for "learning" BITs.
  • Includes criteria for determining inferiority, BIT inclusion, consumer assignment, and outcome definition.

Main Results:

  • CEEBIT can evaluate multiple BITs or evolving versions simultaneously.
  • Allows for the elimination of underperforming BITs and the inclusion of new ones.
  • Facilitates the collapse of initial evaluation and postmarketing surveillance.

Conclusions:

  • CEEBIT offers a solution for the rapid evaluation of digital health interventions.
  • Provides ongoing assurance of BIT safety and efficacy to stakeholders.
  • Enables adaptive management of BITs in dynamic technological environments.