Nurse-Led Algorithm-Based Early Mobilization Protocol for Reducing Post-Intensive Care Syndrome in Intensive Care...

Area of Science:

• Cardiovascular Intensive Care
• Patient Recovery Protocols
• Nursing Science

Background:

• Post-intensive care syndrome (PICS) poses challenges for cardiac surgery survivors.
• Early mobilization (EM) is recommended, but evidence for nurse-led, algorithm-based protocols in cardiovascular ICUs is limited.

Purpose of the Study:

• To assess a nurse-led, algorithm-based EM protocol's impact on PICS, psychological distress, sleep, and nursing satisfaction in cardiac surgery patients.

Main Methods:

• A randomized controlled trial with 38 patients in a Korean tertiary hospital.
• Experimental group received EM protocol from 12 hours post-ICU admission.
• Outcomes measured via validated questionnaires; data analyzed using nonparametric tests.

Main Results:

• The EM protocol group showed significant improvements in PICS scores (P < .001), anxiety/depression (P < .001), and sleep quality (P < .001).
• Nursing satisfaction across all domains significantly improved (P < .001).
• No mobilization-related adverse events were reported, confirming protocol safety.

Conclusions:

• A nurse-led, algorithm-based EM protocol is safe and effective for reducing PICS and distress post-cardiac surgery.
• The protocol enhances sleep quality and nursing satisfaction.
• This standardized, nurse-driven approach should be integrated into cardiovascular ICU practice.