[Patient classification systems in intermediate and long-term stay institutions: evolution and future perspectives]

Area of Science:

• Gerontology
• Health Services Research
• Health Informatics

Background:

• The long-term care sector's significance is growing, necessitating efficient management tools.
• Patient classification systems (PCS) are crucial for planning and managing health services for chronic and geriatric populations.
• PCS development in long-term care predates and is richer than in acute care.

Purpose of the Study:

• To explore the evolution and applications of patient classification systems in the long-term care sector.
• To highlight the utility of PCS beyond financing, including management and quality assessment.
• To examine the specific use of PCS in Spain for long-term care financing.

Main Methods:

• Review of the historical development of patient classification systems.
• Analysis of the expanding applications of PCS in long-term care settings.
• Case study of the Catalan Health Care Administration's PCS for financing.

Main Results:

• PCS have evolved from assessing functional dependency to incorporating clinical complexity, exemplified by systems like RUG-III.
• Initial use of PCS for financing has expanded to encompass center management, quality assessment, staffing, access control, and policy.
• Spain's primary PCS experience is the Catalan Health Care Administration's system for financing long-term care centers.

Conclusions:

• Patient classification systems are indispensable tools for the effective planning, management, and financing of long-term care services.
• The multifaceted applications of PCS support quality improvement and resource optimization in geriatric and chronic care.
• The Catalan model demonstrates a practical application of PCS for financial management within a national health system.