Risk factors for nursing home admissions and exits: a discrete-time hazard function approach.

Area of Science:

• Gerontology
• Health Services Research
• Public Health

Background:

• Frail elderly populations face complex transitions between community and institutional care.
• Understanding predictors of nursing home admission and discharge is crucial for effective long-term care planning.
• The National Long Term Care Channelling Demonstration provided a unique dataset to analyze these transitions.

Purpose of the Study:

• To estimate discrete-time hazard functions for nursing home admission and community discharge.
• To identify demographic, socioeconomic, functional, and health-related factors influencing these transitions.

Main Methods:

• Analysis of data from 3,332 individuals in The National Long Term Care Channelling Demonstration.
• Utilized discrete-time hazard function modeling.
• Examined factors including ethnicity, homeownership, age, living situation, cognitive/functional status, healthcare utilization, and area nursing home supply.

Main Results:

• Factors predicting nursing home admission included advancing age, living alone, higher cognitive/functional impairment, physician use, and greater nursing home bed supply. Ethnicity (Blacks/Hispanics lower risk) and homeownership were also significant.
• Factors predicting community discharge included homeownership, younger age, better self-rated health, higher functional/cognitive capacity, and medical acuity. Ethnicity (Blacks less likely to be discharged) was also a predictor.

Conclusions:

• Predictors for nursing home admission and community discharge differ, highlighting the complexity of long-term care pathways.
• Ethnicity, socioeconomic status, and health/functional status are critical determinants of care transitions in frail elderly populations.
• Findings can inform targeted interventions and policy development for long-term care services.