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Methodological Challenges in Randomized Controlled Trials of mHealth Interventions: Cross-Sectional Survey Study and

Jesus Lopez-Alcalde1,2,3, L Susan Wieland1,4, Yuqian Yan1

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Summary

Randomized controlled trials for mobile health interventions face unique challenges, especially regarding intervention integrity and adherence. Addressing these issues with consensus-based recommendations can improve the reliability of mHealth trial results.

Keywords:
adherenceconsensusdigital healtheHealthintervention integritymHealthmobile healthmobile phonerandomized controlled trialrecommendationssurvey

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Area of Science:

  • Digital Health
  • Clinical Trials
  • Health Services Research

Background:

  • Mobile health (mHealth) utilizes mobile devices for health support, distinct from traditional interventions.
  • Randomized controlled trials (RCTs) for mHealth interventions present unique methodological hurdles.
  • Overcoming these challenges is crucial for validating mHealth's impact on health outcomes.

Purpose of the Study:

  • Identify specific methodological challenges in mHealth RCTs.
  • Develop consensus-based recommendations to address these challenges.
  • Enhance the rigor and reliability of mHealth intervention research.

Main Methods:

  • A two-phase participatory research approach was employed.
  • Web-based surveys assessed challenges faced by mHealth RCT authors.
  • An online workshop and email interactions facilitated consensus on recommendations.

Main Results:

  • Most mHealth RCT authors reported significant methodological challenges.
  • Key challenges included mHealth intervention integrity, adherence measurement, and data analysis.
  • Seventeen consensus-based recommendations were developed across four categories: adherence measurement, definition, low adherence rates, and intervention components.

Conclusions:

  • mHealth RCTs exhibit distinct methodological challenges compared to non-mHealth trials, particularly concerning intervention integrity.
  • Implementing the developed recommendations can lead to more dependable assessments of mHealth intervention effectiveness.
  • This research provides practical guidance for improving mHealth trial design and execution.