An exploratory study of ageing women’s perception on access to health informatics via a mobile phone-based intervention

Keyphrases

• Health Informatics 100%
• Women's Perceptions 100%
• Aging Women 100%
• Mobile-based Intervention 100%
• Access to Health 100%
• Perceived Ease of Use 66%
• Perceived Usefulness 66%
• Well-being 33%
• Bootstrap 33%
• Subjective Norms 33%
• Partial Least Squares Structural Equation Modeling (PLS-SEM) 33%
• Adoption Study 33%
• Intention to Use 33%
• Singapore 33%
• User Acceptance 33%
• Aging 33%
• Statistical Analysis 33%
• Participant Perceptions 33%
• Telephone Survey 33%
• Reinforced 33%
• Older Women 33%
• Guard 33%
• Physical Condition 33%
• Path Coefficient 33%
• Analysis Support 33%
• Perceived Attitudes 33%
• Acceptance Model 33%
• Adoption Intention 33%
• Innovation Adoption 33%
• Future Innovations 33%
• Female Population 33%
• Acceptance Level 33%
• Acceptance Theory 33%
• Perceived Readiness 33%
• Self-care Technologies 33%
• Personalized Care 33%
• Technological Anxiety 33%
• Design Opportunities 33%
• Health Advice 33%
• Humanistic Design 33%

Psychology

• Mobile Phone 100%
• Subjective Norm 50%
• Adoption Studies 50%
• Statistical Analysis 50%
• Qualitative Method 50%
• Dependent Variable 50%
• Self-Care 50%

Nursing and Health Professions

• Public Health Informatics 100%
• Self Care 50%
• Dependent Variable 50%
• Partial Least Squares Regression 50%
• Adoption Studies 50%