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Stability of disability among PACE enrollees: financial and programmatic implications
D B Mukamel1, H Temkin-Greener, M L Clark
1Department of Community and Preventive Medicine, University of Rochester School of Medicine and Dentistry, USA.
Health Care Financing Review
|May 27, 1999
Summary
The Program of All-inclusive Care for the Elderly (PACE) shows stable participant disability over time, supporting current payment models. However, variations between programs indicate a need for more specific payment rates and quality improvement opportunities.
Area of Science:
- Gerontology
- Health Services Research
- Public Health Policy
Background:
- The Program of All-inclusive Care for the Elderly (PACE) is an integrated care model for frail elders.
- Understanding participant outcomes and program variations is crucial for optimizing care delivery.
- The study focuses on the initial cohort of PACE programs to inform future expansion.
Purpose of the Study:
- To evaluate the functional status changes in PACE participants.
- To analyze the relationship between enrollment duration, risk characteristics, and functional status.
- To identify factors influencing functional improvement for quality enhancement.
Main Methods:
- Retrospective analysis of data from the first 11 PACE programs.
- Assessment of participant functional status in relation to enrollment length and individual risk factors.
- Statistical analysis to determine predictors of functional status improvement.
Main Results:
- Mature PACE programs demonstrated a stable mix of participant disabilities over time.
- Significant variations in participant characteristics and outcomes were observed across different PACE programs.
- Patient characteristics at admission were linked to the likelihood of functional status improvement, highlighting areas for targeted interventions.
Conclusions:
- The stability of the disability mix supports the current PACE payment structure.
- Program-specific payment rates may be warranted due to inter-program variability.
- Identifying patient risk factors at admission can guide quality improvement initiatives within PACE programs.
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