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Technology Acceptance in Mobile Health: Scoping Review of Definitions, Models, and Measurement.
Camille Nadal1, Corina Sas2, Gavin Doherty1
1School of Computer Science and Statistics, Trinity College Dublin, Dublin, Ireland.
Understanding technology acceptance in healthcare is crucial for user engagement. This review clarifies mobile health technology acceptance definitions and proposes a lifecycle framework for consistent measurement.
Area of Science:
- Health Informatics
- Human-Computer Interaction
- Digital Health
Background:
- Designing user-friendly technologies is challenging, especially in healthcare where patient acceptance is paramount.
- Existing definitions and measurement approaches for technology acceptance in health are inconsistent.
- A clear understanding of user acceptance across the technology journey is needed.
Purpose of the Study:
- To explore interpretations and measurements of technology acceptance in mobile health (mHealth) literature.
- To compare mHealth acceptance with existing models and identify gaps.
- To clarify the process of technology acceptance.
Main Methods:
- Searched PubMed using "Patient Acceptance of Health Care" and "Mobile Applications".
- Included studies defining "acceptability," "acceptance," "adoption," "accept," or "adopt".
- Analyzed 68 relevant studies.
Main Results:
- Technology acceptance interpretations in mHealth literature are varied and often inconsistent with established definitions.
- Homogeneous usage and adapted models for specific populations are lacking.
- Custom surveys dominate measurement, indicating a lack of standardized tools.
Conclusions:
- Inconsistent definitions hinder study replication and comparison.
- A proposed Technology Acceptance Lifecycle framework offers coherence.
- A common definition and measurement framework is essential for staged technology acceptance.
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