An Extended Expectation-Confirmation Model for Mobile Nursing Information System Continuance

Area of Science:

• Health Informatics
• Nursing Informatics
• Information Systems

Background:

• Mobile nursing information systems (MNIS) streamline patient care by reducing paperwork.
• Effective information management is crucial in healthcare systems.
• Optimizing the use of MNIS can enhance nursing efficiency.

Purpose of the Study:

• To extend the expectation-confirmation model for MNIS continuance usage.
• To investigate the influence of nursing professional competency, habit, satisfaction, and prior use frequency on MNIS continuance.
• To understand factors driving sustained adoption of mobile nursing information systems.

Main Methods:

• A field survey was conducted in 3 Taiwanese hospitals utilizing MNIS.
• A sample of 90 nurses with MNIS experience was analyzed.
• Structural equation modeling with the partial least squares method was employed to test the research model.

Main Results:

• Habit and frequency of prior use significantly impacted MNIS continuance usage.
• Satisfaction and frequency of prior use significantly influenced habit formation.
• Nurses' professional competency is vital for perceived usefulness and continued MNIS adoption.

Conclusions:

• The extended expectation-confirmation model effectively predicts nurses' continued use of MNIS.
• Understanding habit formation is key for nursing managers to promote sustained MNIS use.
• Habit and prior experience are critical drivers for the long-term adoption of mobile nursing information systems.