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VA home-based primary care interdisciplinary team structure varies with Veterans' needs, aligns with PACE regulation
Caitlin S Chan1,2,3, Darlene Davis3, Dayna Cooper3
1Geriatrics and Extended Care Data Analysis Center, Palo Alto, California; Canandaigua, New York, Philadelphia, Pennsylvania, USA.
Home-based primary care (HBPC) flexibly aligns interdisciplinary team (IDT) care with Veteran needs, moving beyond traditional full IDT models. This tailored approach ensures appropriate care intensity based on patient frailty and medical complexity.
Area of Science:
- Gerontology
- Health Services Research
- Veterans Health Administration
Background:
- Interdisciplinary team (IDT) care is crucial for frail elders in home-based primary care (HBPC).
- Traditional full IDT models are resource-intensive.
- The Program of All-inclusive Care for the Elderly (PACE) regulation allows flexible team structures (Core+).
Purpose of the Study:
- To evaluate if Department of Veterans Affairs (VA) HBPC programs have adopted flexible IDT structures.
- To determine if these structures align with Veteran needs, similar to PACE.
- To assess the association between team patterns and patient characteristics.
Main Methods:
- Cross-sectional analysis of 139 VA HBPC programs and 55,173 Veterans in fiscal year 2018.
- Classified patient frailty using VA HNHR v2 and medical complexity using the JEN frailty index (JFI).
- Grouped patient visits into interdisciplinary team types: Full IDT, Core+, and Home Health+ (HHA+).
Main Results:
- 54% of Veterans received Core+ care, 21% received Full IDT care, and 16% received HHA+ care.
- Team type significantly associated with medical complexity (p < 0.0001).
- High-risk Veterans were more likely to receive Full IDT care, while low-risk Veterans received HHA+ care.
Conclusions:
- VA HBPC demonstrates a strong association between team patterns and patient frailty.
- Care is tailored to match Veteran needs, indicating adoption of flexible IDT approaches.
- This suggests efficient resource allocation in HBPC based on patient complexity.
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