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Published on: July 27, 2018
Mobile Health Interventions and RCTs: Structured Taxonomy and Research Framework
Alan Yang1, Neetu Singh2, Upkar Varshney3
1Department of Information Systems, Ansari Business 314A, University of Nevada, 1664 N. Virginia Street, NV, 89557, Reno, USA. alany@unr.edu.
Mobile Health Interventions (MHIs) show varied effectiveness in Randomized Controlled Trials (RCTs). Challenges in MHI-based RCTs include technology, patient retention, and regulatory hurdles, impacting results.
Area of Science:
- Digital Health
- Clinical Trials
- Healthcare Technology Evaluation
Background:
- Mobile Health Interventions (MHIs) are increasingly used to address healthcare challenges.
- Randomized Controlled Trials (RCTs) are crucial for evaluating the clinical effectiveness of MHIs.
- A systematic review is needed to synthesize findings from MHI RCTs.
Purpose of the Study:
- To systematically review and analyze Randomized Controlled Trials (RCTs) evaluating Mobile Health Interventions (MHIs).
- To classify existing MHI RCTs using the Nickerson-Varshney-Muntermann (NVM) taxonomy.
- To develop guidelines and a research framework for future MHI-based RCTs.
Main Methods:
- Systematic literature review of MHI RCTs adhering to PRISMA guidelines.
- Analysis and classification of 70 identified studies using the Nickerson-Varshney-Muntermann (NVM) taxonomy.
- Extraction of insights from categorized studies to inform future research.
Main Results:
- RCTs covered diverse health conditions, but most studies found no significant difference between MHIs and usual care.
- Identified challenges in MHI-based RCTs include technology, delayed outcomes, patient recruitment/retention, and regulatory complexity.
- Many RCTs lacked sufficient duration to measure lasting improvements, potentially increasing Type I/II errors.
Conclusions:
- Developed a classification system for MHI RCTs based on the NVM taxonomy.
- Provided guidelines for conducting future MHI-based RCTs.
- Proposed a research framework for MHI RCTs, emphasizing personalization, advanced technologies, and emerging research areas.
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