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Drivers of Mobile Health Acceptance and Use From the Patient Perspective: Survey Study and Quantitative Model
Tânia Salgado1, Jorge Tavares1, Tiago Oliveira1
1NOVA Information Management School, Universidade Nova de Lisboa, Lisbon, Portugal.
Mobile health (mHealth) acceptance is driven by performance expectancy, habit, and personal empowerment. Chronic health conditions impact user adoption of mHealth technologies, highlighting the importance of personal empowerment for improved healthcare outcomes.
Area of Science:
- Health Informatics
- Human-Computer Interaction
- Behavioral Science
Background:
- Mobile health (mHealth) offers a shift towards patient-centric healthcare systems.
- mHealth can improve health outcomes, quality, and sustainability.
- Understanding user acceptance is crucial for mHealth adoption.
Purpose of the Study:
- To explore mHealth acceptance drivers in users with and without chronic health conditions.
- To identify key factors influencing the intention to use and recommend mHealth technology.
Main Methods:
- Enhanced Unified Theory of Acceptance and Usage of Technology (UTAUT2) model.
- Inclusion of behavior intention to recommend and mediation effects.
- Partial Least Squares (PLS) causal modeling with 322 online survey responses.
Main Results:
- Performance expectancy, habit, and personal empowerment significantly drive mHealth behavior intention.
- Habit and personal empowerment are key precursors to mHealth use behavior.
- Behavior intention and personal empowerment strongly influence the intention to recommend mHealth.
Conclusions:
- Personal empowerment is a significant factor in mHealth acceptance.
- Chronic health conditions influence user acceptance of mHealth technology.
- Findings emphasize the role of personal empowerment in patient-centric mHealth solutions.
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