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Developing consensus-based indicators for intensive care unit capacity and capability in South Korea: a modified
Jeehye Lee1, Ho Kyung Sung2,3, Min-Hwan Oh4
1Department of Preventive Medicine, Konkuk University College of Medicine, Chungju, Korea.
South Korea developed a 29-indicator framework for intensive care unit (ICU) classification, prioritizing patient safety and resource allocation. This system assesses ICU capacity and capability, moving beyond simple bed availability for critical care.
Area of Science:
- Healthcare Management
- Critical Care Medicine
- Health Services Research
Background:
- South Korea currently lacks capability-based standards for classifying intensive care units (ICUs).
- Patient assignment to ICUs often relies on bed availability rather than clinical acuity, leading to potential care mismatches.
- There is a need for a standardized system to assess ICU capacity and capability.
Purpose of the Study:
- To develop a consensus-based framework of indicators for assessing ICU capacity and capability in South Korea.
- To establish a foundation for a capability-oriented ICU classification system.
Main Methods:
- A modified Delphi study involving 24 multidisciplinary experts from the Korean Society of Critical Care Medicine (SCCM) Standardization Committee.
- Systematic review of international ICU frameworks (SCCM, ESICM, ANZICS) to identify candidate indicators.
- Three rounds of expert evaluation (April-July 2025) with consensus defined by content validity ratio and ≥75% agreement.
Main Results:
- A final framework of 29 indicators across four domains: Capacity, Capability, Human Resources, and Space/Equipment Infrastructure.
- Expert consensus prioritized functional capabilities (e.g., nurse-to-bed ratios, 24/7 service) over structural metrics (e.g., physician numbers).
- Indicators related to ward support, education, and research did not achieve consensus.
Conclusions:
- This study presents the first expert consensus framework for ICU capability assessment in South Korea.
- The developed indicators can inform a new classification system focused on patient safety and efficient resource allocation.
- Future research should focus on validating these indicators against clinical outcomes and exploring real-time capacity monitoring.
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