Clinical Scorecard: Technostress Among Senior Healthcare Professionals: Profile Variations and Effects on Acceptance of Care Robots

At a Glance

Key Highlights

• Aging population in South Korea necessitates an increase in LTC workers by 32% over the next decade.
• Technostress is a significant barrier to technology adoption among healthcare workers.
• Five dimensions of technostress include techno-overload, techno-complexity, techno-insecurity, techno-uncertainty, and techno-invasion.
• Transfer-assistive robots may alleviate physical demands on healthcare workers and improve care quality.
• User acceptance of care robots is influenced by self-efficacy, anxiety, perceived usefulness, and perceived ease of use.

Guideline-Based Recommendations

Diagnosis

• Assess levels of technostress among healthcare professionals using established scales.

Management

• Implement training programs to enhance digital literacy and reduce technostress.

Monitoring & Follow-up

• Regularly evaluate the acceptance and usage of care robots among healthcare workers.

Risks

• High levels of technostress can lead to decreased technology adoption and increased workforce exit.

Patient & Prescribing Data

Older adults receiving long-term care

Care robots may improve quality of care and support older healthcare workers.

Clinical Best Practices

• Consider heterogeneity within healthcare worker roles when implementing technology.
• Address technostress through supportive measures and training.
• Monitor the impact of technology on job satisfaction and retention among older workers.

Related Resources & Content

• OECD Long-term Care Workforce Report
• Davis's Technology Acceptance Model
• Technostress Scale for Older Adults