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Digital Home-Monitoring of Patients after Kidney Transplantation: The MACCS Platform

Digital Home-Monitoring of Patients after Kidney Transplantation: The MACCS Platform

Published on: April 12, 2021

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

Pi-Jung Hsieh¹, Hui-Min Lai, Chen-Chung Ma

¹Chia Nan University of Pharmacy and Science, Taiwan.

Research and Theory for Nursing Practice

|March 18, 2017

Summary

Nurses

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Last Updated: Mar 6, 2026

Digital Home-Monitoring of Patients after Kidney Transplantation: The MACCS Platform

Digital Home-Monitoring of Patients after Kidney Transplantation: The MACCS Platform

Published on: April 12, 2021

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.