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

Category	Detail
Condition	Technostress in healthcare professionals
Key Mechanisms	Psychological strain from interaction with Information and Communication Technology (ICT)
Target Population	Senior healthcare professionals, particularly those aged 60 and older
Care Setting	Long-term care (LTC) environments

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.

Assess levels of technostress among healthcare professionals using established scales.

Implement training programs to enhance digital literacy and reduce technostress.

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

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

Older adults receiving long-term care

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

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.

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