Selected article for: "behavior change and future development"

Author: Pach, Daniel; Rogge, Alizé A; Wang, Jiani; Witt, Claudia M
Title: Five Lessons Learned From Randomized Controlled Trials on Mobile Health Interventions: Consensus Procedure on Practical Recommendations for Sustainable Research
  • Cord-id: 3o554jlq
  • Document date: 2021_2_8
  • ID: 3o554jlq
    Snippet: BACKGROUND: Clinical research on mobile health (mHealth) interventions is too slow in comparison to the rapid speed of technological advances, thereby impeding sustainable research and evidence-based implementation of mHealth interventions. OBJECTIVE: We aimed to establish practical lessons from the experience of our working group, which might accelerate the development of future mHealth interventions and their evaluation by randomized controlled trials (RCTs). METHODS: This paper is based on gr
    Document: BACKGROUND: Clinical research on mobile health (mHealth) interventions is too slow in comparison to the rapid speed of technological advances, thereby impeding sustainable research and evidence-based implementation of mHealth interventions. OBJECTIVE: We aimed to establish practical lessons from the experience of our working group, which might accelerate the development of future mHealth interventions and their evaluation by randomized controlled trials (RCTs). METHODS: This paper is based on group and expert discussions, and focuses on the researchers’ perspectives after four RCTs on mHealth interventions for chronic pain. RESULTS: The following five lessons are presented, which are based on practical application, increase of speed, and sustainability: (1) explore stakeholder opinions, (2) develop the mHealth app and trial simultaneously, (3) minimize complexity, (4) manage necessary resources, and (5) apply behavior change techniques. CONCLUSIONS: The five lessons developed may lead toward an agile research environment. Agility might be the key factor in the development and research process of a potentially sustainable and evidence-based mHealth intervention.

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